5 Critical Roles That Every Data Science Team Must Hire
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January 14, 2023
Hello, This newsletter will take you about 4 minutes to read. I. Spotlight: 5 Fabulous Roles That Every Data Science Team Must Hire Building a data science product is quite like constructing your home. Using this analogy let’s look at the five roles and skills that the best data scien
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Tags: Analytics, AI, Big Data
8 Critical Steps To Get Your Team To Adopt AI
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December 31, 2022
Hello, This newsletter will take you about 4 minutes to read. I. Spotlight: 8 Critical Steps To Get Your Team To Adopt AI A Telecom major was grappling with high customer attrition. The firm was one of the largest Telecom companies in the world and a market leader in Asia.
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Tags: Analytics, AI, Big Data
AI Trends For 2023: Industry Experts (And ChatGPT AI) Make Their Predictions
Forbes
December 22, 2022
What are the top AI trends and fads for 2023? What’s one thing business leaders must stop doing to unlock business value from AI? Hear predictions from 10 experts, including ChatGPT AI!
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3 Surprisingly common ways leaders fail their AI projects
Linkedin
December 19, 2022
I. Spotlight: 3 Surprisingly common ways leaders fail their Artificial Intelligence (AI) projects
How do most organizations begin their Artificial Intelligence (AI) journey?
Let’s look at how leaders of some large enterprises planned their foray into AI. Here are a couple of examples from McKinsey:
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3 Surprisingly common ways leaders fail their AI projects
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December 17, 2022
Hello, This newsletter will take you about 4 minutes to read. I. Spotlight: 3 ways leaders fail their Artificial Intelligence (AI) projects👎 How do most organizations begin their Artificial Intelligence (AI) journey? Let’s look at how leaders of some large enterprises planned their for
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The 3 Disciplines You Absolutely Need To *Succeed* In Any Data Science Project️
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November 26, 2022
Hello, This newsletter will take you about 4 minutes to read. I. Spotlight: The 3 Disciples You Absolutely Need To *Succeed* ✌️In Any Data Science Project Digital transformation is the flavor of the season. Every company has accelerated its efforts to digitize operations, gather intelli
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3 Data Analytics Challenges and How Decision Intelligence Can Help You Tackle Them
ATSCALE
November 22, 2022
Today, most organizations believe in the power of data and analytics. Almost every executive aspires to build a data-driven organization. However, a survey by New Vantage Partners found that just 26.5% of companies have done so successfully.
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4 Reasons Why Digital Biomarkers Are Game-Changers In Healthcare️
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November 12, 2022
Hello, This newsletter will take you about 4 minutes to read.Thanks for reading Our Data-driven Future! Subscribe for free to receive new posts and support my work. I. Spotlight: 4 Reasons Why Digital Biomarkers Are Game-Changers In Healthcare⚕️ During World War II, commanders and troop
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Tags: Analytics, AI, Big Data
How You Can Unlock Decision Intelligence At Scale by Aligning BI with AI
Atscale
November 08, 2022
Recently, I was talking to the head of technology at a retail conglomerate. The executive was actively planning his foray into data science and asked me, “How can we make the transition from business intelligence (BI) to artificial intelligence (AI)?” The question made me uneasy.
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How AI is disrupting the anonymization of Clinical Trial Submissions
LinkedIn
November 04, 2022
We’re back on schedule with the newsletter editions published in September and October!
I’ve been traveling the past month — attending a CDAO conference, talking at a leadership summit, and meeting with clients and network connections. And, I’ve been thoroughly enjoying the in-person vibes.
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How AI Is Helping Anonymize Clinical Trial Submissions
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October 30, 2022
Hello, This newsletter will take you about 4 minutes to read. Thanks for reading Our Data-driven Future! Subscribe for free to receive new posts and support my work. I. Spotlight: How AI Is Helping Anonymize Clinical Trial Submissions 🧪 We’re seeing a record number of data breaches ove
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Tags: Analytics, AI, Big Data
How NGOscan leverage AI without breaking the bank
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October 20, 2022
Hello, This newsletter will take you about 4 minutes to read. I. Spotlight: How NGOs🦏can leverage AI without breaking the bank When you think of the kinds of organizations leveraging artificial intelligence (AI), non-government or non-profit organizations (NGOs), do not spring to mind.
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How To Implement Decision Intelligence in Your Enterprise With A Semantic Layer
AtScale
October 20, 2022
This article covers a step-by-step approach to implement DI and highlights fundamental principles from each discipline with an industry example. It'll also discuss how a semantic layer helps orchestrate DI at scale across businesses.
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Tags: Analytics, AI, Digital Transformation
The 5 Steps Every Analytics Team Must Use To Identify ROI-Positive Projects
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September 29, 2022
Hello, This newsletter will take you about 4 minutes to read. Thanks for reading Our Data-driven Future! Subscribe for free to receive new posts and support my work.Thanks for reading Our Data-driven Future! Subscribe for free to receive new posts and support my work.
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Tags: Analytics, AI, Big Data
Want To Get Your Team To Adopt AI? Follow These 8 Critical Steps For Success
Forbes
September 29, 2022
Despite millions of dollars invested in AI, most industry projects never get adopted. Here are the four stages and eight steps to dramatically improve the adoption of your data science solution.
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What are the 3 Stages where your Data Science Teams might Fail?
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September 18, 2022
Hello, 👋 Long time, I know! The last time I sent you this newsletter was in May, after a 2-month break - the longest till then. Then came a 4-month pause. I’m back again and hope to be third-time lucky🤞 Not just hoping, but have been planning for this. Let’s resume our ch
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3 Reasons Why You Need Low-code Platforms For Data Science Solutions
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September 06, 2022
Low-code ML applications help address the challenges of model maintenance, time-to-market, and talent shortageContinue reading on Towards Data Science »
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Tags: Analytics, AI, Big Data, Data Center
How AI Is Helping Anonymize Clinical Trial Submissions
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August 31, 2022
Anonymization of clinical trial submissions is tricky and risks regulatory penalties. Here’s how AI can help protect patient data privacy while ensuring transparency.
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Tags: Analytics, AI, Predictive Analytics
Why Decision Intelligence Is The Most Important Data Analytics Trend Of This Decade
Atscale
July 28, 2022
To improve the quality and impact of decision-making, business leaders are looking to build repeatable capabilities and institutionalize them across the organization. The discipline of decision intelligence (DI) is the solution they need.
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Tags: AI, Analytics, Business Strategy
Low-code data science platforms: 3 things IT leaders should know
Enterprisers Project
July 28, 2022
Organizations are increasingly turning to low-code machine-learning applications to address problems...
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Here’s How AI Is Helping Make Babies By Revolutionizing IVF
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June 30, 2022
Infertility is rapidly becoming an epidemic. Although IVF has been around for over 40 years, it’s plagued by challenges. Here’s how AI is changing the game by reinventing fertility treatments.
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Tags: Analytics, AI, Predictive Analytics
3 Strategies To Redefine Your Executive Career Path With AI
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May 23, 2022
Three ways leaders can put their AI education to useContinue reading on Towards Data Science »
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Tags: Analytics, AI, Big Data, Data Center
5 Steps to picking analytics projects that can transform your business
LinkedIn
May 18, 2022
I’m back with the second anniversary edition of my newsletter ( yay!). You might have noticed the radio silence for the past two months. This is the longest I’ve been away from my newsletter - here’s Substack traffic data to show how I paced it
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Tags: AI, Analytics, Entrepreneurship
5 Steps to picking analytics projects that can transform your business
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May 17, 2022
Hey there, I’m back with the second anniversary edition of my newsletter (🎉 yay!). You might have noticed the radio silence for the past 2 months. This is the longest I’ve been away since launching my newsletter - here’s Susbtack traffic data to show the pacing 😀
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4 Novel ways to build data science skills in-house
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May 14, 2022
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Five Cold-Chain Logistics Challenges, and How to Solve Them
Supply Chain Brain
May 02, 2022
The distribution of COVID-19 vaccines globally shone a light on cold chain logistics and temperature-controlled transportation, and therefore, the challenges the food industry faces. Vaccines made by Pfizer Inc. and Moderna Inc. are easily spoiled and must be kept at cold, specific temperatures, or they will be thrown away — just like food products.
With so many elements that affect carrier arrival times and the pressure to avoid hefty fines from retailers, there is an urgent need for data and analytics (D&A) systems to optimize temperature-controlled logistics, detect damaged goods, and sort effective storage layouts. Let’s dive in.
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Tags: AI, Analytics, HealthTech
Are You Guilty of These 3 Biases That Kill Most Startups?
Entrepreneur
April 28, 2022
We make over 35,000 decisions every day — from subconscious ones such as deciding the side of the bed to wake up from, to more strategic ones such as when to pivot our startup.
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Tags: AI, Analytics, Entrepreneurship
¿Eres culpable de estos 3 sesgos que matan a la mayoría de las empresas emergentes?
Entrepreneur
April 28, 2022
Los fundadores sucumben a tres sesgos cognitivos comunes que hunden a la mayoría de las empresas emergentes.
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Tags: AI, Analytics, Entrepreneurship
1 Underrated Idea to Help You Unleash Analytics Adoption
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April 09, 2022
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Top 3 Applications of Data Science to Transform Warehouse Operations
DC Velocity
March 08, 2022
In traditional warehouses, mechanical issues, fluctuating weather, pick-up delays, and traffic can make accurate scheduling and staff planning a complex guessing game, causing long turn times and increased costs for facilities due to overstaffing and fines.
Covid-19 has exposed the inefficiency of supply chains and the importance of building their resilience for the future. Now, the demand driven by e-commerce retailers means that traditional warehouses are being replaced by next-generation warehouses that can deliver predictive, cost-effective, and innovative data-driven services.
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Tags: AI, Analytics, Supply Chain
Artificial Intelligence (AI): 3 strategies for advancing your career
Enterprisers Project
March 07, 2022
Successfully implementing Artificial Intelligence (AI) in the enterprise requires more than just...
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Tags: Analytics, AI, Big Data
1 Underrated idea to help you unleash analytics adoption
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February 27, 2022
Organizational leaders are often intimidated when they begin their data and analytics (D&A) journey. In reality, getting started with analytics is the easiest part.Much bigger challenges lie ahead.
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4 Novel ways to build data science talent in-house
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February 12, 2022
Hello, We tend to overrate goal setting but undervalue the systems needed to achieve them. Directionally sound goals (good-enough strategy) coupled with a great system (excellent execution) can deliver exceptional results. This is true in organizations and our personal life. “Figure out what k
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Ask this *one* question before beginning your data science journey️
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January 29, 2022
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How you can pursue data science without big data or AI skills
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January 29, 2022
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Can smart devices help prevent serious diseases long before symptoms develop?
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January 26, 2022
How do you come up with blockbuster ideas in your field? Don’t over-optimize on your ideas, but run many experiments. “When it comes to idea generation, quantity is the most predictable path to quality,” said Adam Grant in his bestselling book, Originals.
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What is Decision Bias and how to Avoid Data-Driven Blunders
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January 14, 2022
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The best stories of 2021
Substack
January 07, 2022
Here’s a round-up of my most popular newsletter editions, articles, videos, and social posts from the past year.
I prioritize the creation of timeless content instead of topical or trending ones. So, each of these pieces is as relevant today as they were a few months ago.
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Tags: AI, Analytics
How to pursue data science even if you don’t have big data or AI skills
Substack
December 17, 2021
Have you come across organizations that pour money into data science before getting their data in place? My earlier newsletter talked about a manufacturing organization that attempted just that.
I shared *one* question to help spotlight this disconnect and convince leaders against burning their money. (If you missed the edition, here’s a link)
We walked through a simple yet powerful framework to help you get the most from your data and analytics investments.
When you review the poor ROI of advertising campaigns, if your marketing team has disowned the underlying data, you’ve been in the ‘zone of disbelief.’ When a team painstakingly runs customer surveys, stores all customer interactions but uses them for basic summary reporting, they are in the ‘zone of complacency.’
Most organizations start with a clean slate, on the bottom-left. How do they reach the ‘zone of nirvana’ without slipping into the zones of ‘disbelief’ or ‘complacency’?
Yes, you must steer clear of AI until you get the data in place. But you need NOT shelve all analytics efforts until you build a perfect data warehouse.
You must parallel-track data and analytics (D&A). Focus on incremental gains to level up in your D&A maturity. Here’s a 6-step iterative process to help you get there:
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Tags: AI, Analytics, Big Data
️Ask this *one* question to save heartburn (and millions of dollars) in your data science journey
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December 03, 2021
Hello, I started going back to the office last week. Suddenly, my afternoons have gotten far more productive. Despite the time spent in small talk and team lunches (yes, I time-log them too), it looks like I’m getting more done in a day. Strangely, this ‘office socialization’ feels
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Tags: Analytics, AI, Big Data
Ask this *one* question to save heartburn (and millions of dollars) in your data science journey
Substack
December 03, 2021
“I want my organization to be data-driven,” said the CEO of a medium-sized manufacturing organization. This was the early stages of the pandemic, and we were on our second Zoom meeting.
His organization had begun its digital makeover when COVID hit. With manufacturing plants spread across the country and a customer base that was increasingly digital, the CEO understood the importance of data.
His enthusiasm was evident when he asked me, “How can my team use machine learning to improve business outcomes?”
While executive interest in data was music to my ears, I simultaneously sensed alarm bells going off in my mind.
In my earlier conversations with his team, I found that most of their data were still on paper. Their small digital footprint was handled manually in spreadsheets. But, the business teams had little interest in excel reports or using them for decisions.
The organization lacked quality data and the maturity for simple descriptive insights, whereas the CEO was aspiring a big push into data science.
Such disconnect is widespread in organizations.
How do you resolve this unrealistic expectation to avoid the likely failure and disillusionment with data science?
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Tags: AI, Analytics, Business Strategy
How to do data science without big data
Enterprisers Project
December 02, 2021
You don't need a data warehouse to pursue important analytics initiatives. Consider these four...
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4 Ways Your Startup Can Use AI Right Now (Without Breaking The Bank)
Import from medium.com
November 29, 2021
You don’t need big budgets, data scientists, or even months of effort - 4 ways your startup can become AI-driven todayContinue reading on Towards Data Science »
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Tags: Analytics, AI, Big Data, Data Center
What does AI Adoption and Women During World War II Have in Common?
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November 27, 2021
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AI Precision Agriculture: Reinventing a 10,000-year-old Industry
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November 27, 2021
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Are you making these "data-driven blunders"?
Substack
November 18, 2021
Did the last news article you read reconfirm what you had suspected all along? No, this may not be a case of great intuition. You might just be another victim of confirmation bias.
What’s this bias? It’s the selective filtering and interpreting of information to confirm one’s preconceived notions. Simply put, it’s the cherry-picking of information to suit our assumptions conveniently.
This is a deadly bias we all succumb to every day. And, it is one of the most common reasons for bad business decisions.
Steve Ballmer said, “There’s no chance that the iPhone is going to get any significant market share. No chance.” With a firm belief in the steady rise of personal computers and the proven dominance of Microsoft in this space, any evidence to the contrary must have felt like an inconvenient outlier.
The Microsoft team chose the information they wanted to believe in until it was too late. They lost the opportunity to extend their dominance to the mobile ecosystem.
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Tags: AI, Analytics, Digital Transformation
What’s common to women during the World War and AI adoption at organizations?
Substack
October 29, 2021
As parts of the world open up, people are eager to slip back into the old normal. After all, the familiar comforts of the physical world are too tempting.
Take the example of university education. Most institutions have switched back to in-person classes with compulsory residential programs.
“It’s as if the Covid-forced changes were a temporary nuisance that can now be conveniently forgotten,” says Vijay Govindarajan, Coxe Distinguished Professor at the Tuck School of Business at Dartmouth.
Today’s big question is whether the pandemic-driven innovations will be sustained and built upon long after masks and booster shots are gone.
Looking back at history, we can find our answers. Govindarajan shares the example of World War II, another black swan event.
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Tags: AI, Analytics, Culture
How AI is reinventing a 10,000-year-old industry to save the planet
Substack
October 08, 2021
Sustainability is not just good for the planet but is an attractive business opportunity.
It’s estimated that the Paris agreement will unlock economic activity worth $13.5 trillion in energy efficiency by 2030. Innovations to realize the UN Sustainable Development Goals (SDG) could open up another $12 trillion worth of business by 2030.
Clearly, there’s money to be made in sustainability.
Artificial Intelligence (AI) is a strategic enabler and differentiator to build successful businesses in areas such as water, agriculture, climate, energy, or biodiversity.
Let’s look at one of these spaces to find why things badly need some disruption. With examples, we’ll see the transformative potential of AI and how it’s saving the planet.
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Tags: AI, Analytics, Climate Change
4 Things Your Competitors are Doing to Cultivate a Data Culture
Substack
September 24, 2021
What’s often considered nirvana for organizations that aspire to use data for decision-making? Data culture. But what does this term really mean?
It is often tossed around to explain away failures in delivering value from Artificial Intelligence (AI), or to describe vague goals with analytics.
Is data culture just another buzzword - just like big data, AI, and gazillions of other fancy terms in data science? (which is yet another buzzword)
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Tags: AI, Analytics, Culture
The strange link between toothbrushing and data science!
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September 10, 2021
Hello, We enjoy hiking and camping in the summer. After taking a total pause last year, we hit the trails again in 2021. With two elementary schoolers, we’ve been picking kid-friendly itineraries (I’m actively trying to influence them young!). With the summer officially coming to an end,
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The strange link between toothbrushing and data science!
Substack
September 10, 2021
In the 1900s, Americans hardly brushed their teeth. Though toothbrushes were invented over 100 years earlier, brushing wasn’t a habit. Not until Pepsodent arrived on the scene.
Initially, Pepsodent struggled, quite like the other toothpaste makers. They then hired a brilliant marketer, Claude Hopkins.
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Tags: Analytics, AI, Sales
4 Ways you can use AI *today* without breaking the bank
Substack
August 20, 2021
Despite its abilities and appeal, AI is not a fit for every situation. There are five scenarios where you should stay away from the technology.
However, there are situations that warrant the horsepower of AI. In those cases, the additional intelligence and automation can be transformational for your business. That’s where you should really double down on your efforts to become AI-driven.
“But, do I really need a big budget to use AI?” is a common question that leaders often grapple with.
No, your business doesn’t need months of effort, elite data scientists, or even big-ticket budgets to become AI-driven.
Here are the four ways any organization, large or small can start using AI today. These suggestions are sequenced from the easiest to the hardest, so squeeze top-down and settle on your most optimal option:
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Tags: AI, Analytics, Business Strategy
SCIENCE & TECHNOLOGY 4 Ways Your Startup Can Use AI Right Now (Without Breaking The Bank)
Entrepreneur
August 16, 2021
You don't need big budgets, data scientists, or even months of effort to leverage AI. Here are the 4 ways your startup can become AI-driven today.
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Tags: AI, Analytics, Startups
4 Novel Ways to Build AI Talent In-house
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August 01, 2021
What are some practical, not-so-common ways to build AI skills when external talent is scarce or expensive?Continue reading on Towards Data Science »
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Tags: Analytics, AI, Big Data, Data Center
Transitioning into an AI-driven Organization While Protecting Your Employees
Gramener
July 27, 2021
Automation and Artificial Intelligence are making many industry roles obsolete. No job is future-proof. Under such scenarios how to become an AI-driven organization without job losses.
How can leaders tap into the power of automation while also taking care of their employees?
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Tags: Analytics, AI, RPA
Why do data analytics projects take so long to break even?
Substack
July 21, 2021
Mark Bancroft hurried into the elevator. His quarterly review with the CEO was scheduled in 15 minutes. As the elevator doors closed, he thumbed through the slides he had printed out.
This was Bancroft’s sixth quarter as CIO at the manufacturing firm headquartered in Chicago. The past quarter was an eventful one wherein the company’s first data science project had gone live.
Over four months, they built an algorithm to predict machine failures. The solution was rolled out with great fanfare and company-wide roadshows.
It had been eight weeks since the predictive solution went live, and the business teams loved it. To the facility managers’ surprise, the algorithm flagged several big-ticket machine failures, weeks in advance.
Fully aware that this advanced analytics initiative would be the topmost item on the CEO’s agenda, Bancroft had compiled solution adoption metrics, model accuracy stats, and user anecdotes in his deck.
Armed with this information, he confidently walked into the CEO’s office that afternoon.
To Bancroft’s surprise, the discussion on the predictive project lasted hardly five minutes. While the CEO acknowledged the progress, he had just one question which Bancroft didn’t have a clear answer for:
“How long will the predictive analytics project take to break even?”
A fairly straightforward question, you might say. Wouldn’t any executive be interested in this?
But why do Bancroft or most other data leaders struggle to answer it?
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Tags: AI, Analytics, Digital Transformation
Will AI destroy more jobs than it creates?
Substack
July 09, 2021
We have seen three industrial revolutions so far. Every single one of them created more jobs than those they automated away.
When horses were replaced by cars, it created the automobile industry that continues to employ millions worldwide. However, experts doubt whether this will continue with AI-driven automation in the fourth industrial revolution that’s underway.
I recently spoke to Kevin Roose, NYT tech columnist and author of the book “Futureproof. Pointing to the exponential advances in AI, he says, “As machines learn to be better on their own, humans will eventually become a drag on the efficiency of the system.”
We already have organizations such as Ant Financial that are built around an entirely digital core. AI runs the show, and there are no workers in the “critical path” of operating activities. There is no manager approving loans, no employee providing financial advice, no representative authorizing consumer medical expenses.
You might argue that humans are needed to perform critical tasks even in such a hyper-automated business. Yes, Ant Financial still needs humans to design workflows, oversee decisions, or step in during exigencies. But, this is just a fraction of the workforce they would have otherwise employed.
Compared to JPMorgan Chase, the financial organization that employs a global headcount of 250,000, Ant Financial staffs less than 10% of this workforce. However, Ant Financial was valued at around $220 Billion at the end of 2020 - almost half that of JPMorgan.
This comparison misses one important point, though.
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Tags: AI, Analytics, Change Management
Artificial Intelligence (AI): 4 novel ways to build talent in-house
Enterprisers Project
June 30, 2021
IT and analytics leaders share four not-so-common ways to build artificial intelligence skills in..
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Tags: Analytics, AI, Big Data
What's the secret to finding hidden insights from your data?
Substack
June 23, 2021
“Can you find unusual insights from this data?” asked the technology head of a global pharma company. It was a hot summer day, and this was our first meeting. We sat in his office looking at a spreadsheet on his laptop.
This executive’s team managed the performance of strategic software vendors for the pharma company. Each of these vendors had contracts worth millions of dollars. The team ran internal surveys to get business’ feedback for all vendors.
This was the survey data the executive was showing us. At a few hundred rows, it was a fraction of the massive data warehouse his team routinely used.
The team had been creating descriptive summaries of the survey feedback for their quarterly vendor reviews. However, the dashboards weren’t very actionable. With the next review coming up in 2 weeks, the executive wanted to try something different.
Pointing to the spreadsheet, he said, “If you could do some magic with this data and discover unusual, actionable nuggets, we’ll work with your company.”
Those were the early days of Gramener. Data storytelling and analytics weren’t as popular nine years ago. Traditional BI tools from larger companies such as IBM were good at providing access to data, not to insights.
In a bid to win the client, we took up this challenge.
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The 26 Most Important Data Terms You Need To Know
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May 03, 2021
Demystifying the most used Data Science jargon in simple EnglishContinue reading on Towards Data Science »
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26 Most Important Big Data Terms You Should Know About
Gramener
March 26, 2021
How would you define ‘data science’? How about big data, AI, or data culture? These are just a few of the many jargons that are commonly tossed around in data speak. You might wonder what people really mean when they use one of these cool buzz words.
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Tags: Analytics, AI, Big Data
Data science: 3 scenarios CIOs could see in 2030
Enterprisers Project
March 23, 2021
How will businesses use data to solve business problems a decade from now – and beyond? Consider.
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Not Seeing Business Impact From Data? Your Data Science Maturity Might Be To Blame
Gramener
March 11, 2021
Gartner predicts that, through 2022, around 80% of analytic initiatives will not deliver business outcomes. This shocking statistic implies that most organizations won’t derive value from data science, despite their huge investments.
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Tags: Analytics, AI, Data Center
Beyond Model Accuracy: 4 Ways You Can Deliver Business Impact With Machine Learning
Gramener
March 09, 2021
You’ve just finished binge-watching Lupin on Netflix. What next? You browse “related” shows. Did you know that something as seemingly simple as this has a robust Machine Learning algorithm running behind the scenes?
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Tags: Analytics, AI, Predictive Analytics
Your AI Model is ‘Wrong’ Yet It Can Transform Your Business
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March 03, 2021
Why model accuracy is overrated and how to convince your managerContinue reading on Towards Data Science »
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3 Ways Leaders Fail Their AI Projects
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February 08, 2021
Why do so many AI Projects fail, and how can Leaders avoid this?Continue reading on Towards Data Science »
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Tags: Analytics, AI, Big Data, Data Center
Why Your Business Needs Decision Intelligence, Not Just Data Science
Gramener
February 04, 2021
Covid-19 pushed companies around the world to the brink. They were forced to improvise and stay in business.
Most companies turned to Digital Transformation to stay relevant in a remote, digital world. According to a McKinsey study, there has been a big jump of 20 percentage points in companies’ share of digital offerings from December 2019 to July 2020.
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Tags: Analytics, AI, Data Center
Data science won’t improve your business decisions. Here’s what will.
Import from medium.com
January 30, 2021
Decision Intelligence is the missing link in most projectsContinue reading on Towards Data Science »
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Tags: Analytics, AI, Big Data, Data Center
When You Don’t Need AI
Gramener
January 22, 2021
Artificial Intelligence (AI) is a buzzword today. Business executives want to transform their organizations by tapping into the power of AI. However, AI is not a fit for every situation. There are some situations where it pays to NOT invest in the technology.
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Tags: Analytics, AI, Data Center
How AI Can Transform You Into a Master Storyteller
Import from medium.com
January 18, 2021
3 Steps to Transformational Communication with DataContinue reading on Towards Data Science »
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Tags: Analytics, AI, Big Data, Data Center
When Should You Not Invest in AI?
Entrepreneur
January 09, 2021
A study was conducted on the business adoption of Artificial Intelligence (AI) in the 1980s. Published in the MIS Quarterly, the study found that enterprises were rushing to invest in AI, and the projected market value was $4 billion.
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Tags: AI, Big Data, Startups
¿Cuándo no debería invertir en IA?
Entrepreneur
January 09, 2021
Aquí hay cinco situaciones en las que la inteligencia artificial está sobrevalorada.
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Data Science in a Pandemic Year: All my Articles from 2020
Import from medium.com
January 06, 2021
Photo by Susan Yin on UnsplashI’ve been writing and speaking about data science and business applications of AI. In the pandemic year that was spent largely indoors, I spent more time writing and shooting videos at home.As part of my yearly reflections, I took stock of my writing across channels
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Tags: Analytics, AI, Big Data, Data Center
3 ways leaders fail their Artificial Intelligence (AI) projects
Enterprisers Project
December 21, 2020
Why do so many AI projects fail, and how can leaders avoid this? Let's break down three leadership traps and illustrate how successful artificial intelligence efforts avoided them
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Tags: Analytics, AI, Big Data
The missing link in many data science projects: Decision intelligence
Enterprisers Project
November 24, 2020
Doubling down on data will not improve your business decisions. Decision intelligence can help...
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Tags: Analytics, AI, Big Data
How AI Can Transform You Into a Master Storyteller
Catalyst
November 16, 2020
For business communication professionals to excel at storytelling, they must focus on three points:
Understanding what the audience really wants
Presenting exciting content
Stitching together an engaging narrative
Today, AI can help you address each of these challenges. With the help of examples, let's look at how you can tap into the power of artificial intelligence to tell great business stories.
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Tags: AI, Analytics, Customer Experience
How to become a better storyteller: 3 key points
Enterprisers Project
August 07, 2020
Great movies, speeches, and business presentations all share one thing: An emotional arc. Consider...
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Tags: Analytics, AI, Big Data
AI Will Power a Safe Return to the Workplace. Here’s how
LinkedIn
August 02, 2020
The pandemic isn’t over yet. How can you safely welcome employees back to the workplace?
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Tags: AI, Analytics, Business Continuity
4 Superpowers That Will Make You Indispensable In a Data Science Career
TDS
July 08, 2020
Learn about these biggest Challenges in the Data Science industry to avoid stagnation in your Career
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Tags: AI, Analytics, HR
Digital transformation: Why data leaders must play offense during COVID-19
Enterprisers Project
June 02, 2020
As the pandemic forces organizations to transform to stay afloat, chief data and analytics officers...
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Tags: Analytics, AI, Big Data
What You're Buying Is Not Artificial Intelligence: How To Tell Fact From Fiction
Entrepreneur
March 18, 2020
n business, the buzzword 'AI' is thrown around frequently. Even people with baseline knowledge of technology often mix it up with simple automation, statistical tests and even excel formulae.
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Tags: AI, Big Data, Startups
Trends for AI in 2020 and beyond
Informs
February 19, 2020
This article talks about how AI will help business leaders and decision-makers push the boundaries of their enterprises to deliver improved business performance
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Tags: AI, Analytics, Big Data
Is your startup using AI responsibly?
Tech Crunch
February 07, 2020
This article talks of Ethics and AI
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Tags: AI, Analytics, Business Strategy
How NGOs can leverage AI without breaking the bank
TechHQ
December 20, 2019
AI is not— and should not— be reserved for only the most profitable enterprises.
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Tags: AI, Analytics
When and how to build out your data science team
Tech Crunch
December 13, 2019
Increasingly, startups across the spectrum are looking to artificial intelligence (AI) to help them solve business problems and drive efficiency. This article looks at ways to build a data science team.
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Tags: AI, Analytics, HR
A complete data science team requires more than just data scientists
TechHQ
December 02, 2019
No one role is more important than another when it comes to a complete data science team— but some spring to mind more than others.
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Tags: AI, Analytics, Big Data
5 reasons analytics projects fail
Enterprisers Project
October 18, 2019
Many analytics projects pass a pilot test with flying colors but fail to earn wide adoption. Here...
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Tags: Analytics, AI, Big Data
Data science: The 3 analytics experts teams must hire
Enterprisers Project
September 17, 2019
In the quest for quants, many companies overlook three key roles: Data science translator...
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Tags: Analytics, AI, Big Data
How to beat resistance to AI projects: 3 steps
Enterprisers Project
July 18, 2019
What’s holding back adoption of artificial intelligence in your organization? Let’s look at a real-life example of how a pharma company overcame 3 common obstacles.
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Tags: Analytics, AI, Big Data
How can you become a TEDx Speaker?
The Startup
May 31, 2019
Ganes shares his advise on how to become an excellent TEDx speaker
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Tags: AI, Analytics
What’s Holding back AI Adoption in Enterprises?
TDS
May 13, 2019
mongst technology conferences, O’Reilly’s Strata Data is large and a highly regarded one in the data community. I’ve always looked up to the event and was excited to be accepted to speak at Strata London in the past week. Here’s a roundup of the event and some key learnings.
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Tags: AI, Analytics, Digital Transformation
The Hype cycle of Magic quadrants, Cool vendors and Confused clients
TDS
April 01, 2019
I attended the Gartner Data & Analytics Summit in Orlando, earlier this month. With over 3000 people huddling together into 150+ sessions across 5 days, the energy levels were palpable. Throw-in exhibits from 111 vendors, workshops and one-on-ones with 100+ research analysts, this sounds crazier.
In this article, I will try and unravel this mystic ecosystem that Gartner has carefully built. We’ll see why buyers hold them in high regard, and what makes the sellers do anything to get featured in it. I will provide a broad overview of their analytics conference and the key industry trends discussed.
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Tags: AI, Analytics, Digital Transformation
How AI Can Transform Customer Experience By Listening Better to the Voice of Customers
Inside Big Data
March 20, 2019
The last month I saw a very significant breakthrough in the application of AI to human language processing. OpenAI, a nonprofit research firm backed by Elon Musk, developed a revolutionary AI model that can read, understand and write, almost at the competency level of humans.
OpenAI considered this breakthrough so dangerous that they stopped short of sharing the code, and instead, released a limited version. In this article, we’ll take a sneak peek into this landmark, and explore how such advances in AI-driven natural language processing can be leveraged by enterprises.
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Tags: AI, Analytics, Customer Experience
How AI can save Earth's biodiversity
Domain-B
January 28, 2019
Our planet is in the midst of its sixth mass extinction, the worst since dinosaurs roamed the earth, 65 million years ago. Every 14 minutes, an elephant is killed in Africa, while a Rhino is slaughtered every 11 hours. It is because of countless direct and indirect human actions, such as poaching, overpopulation, habitat destruction and climate change, that our with data science company planet’s rich biodiversity is taking such a huge hit. By Ganes Kesari, co-founder and head of analytics of data science company Gramener
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Tags: AI, Analytics, Climate Change
Why Great Stories Fail on Medium and What You Can Do About it?
TDS
December 28, 2018
Here are some surprising things I found while analyzing the Medium stories from 2018
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Tags: AI, Analytics, Marketing
Here’s How Analytics is Reinventing Human Resources
TDS
November 27, 2018
3 Steps to ace talent analytics, shown using real-world insights
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Tags: AI, Analytics, HR
Why AI Models badly need Humans to stay Awesome?
TDS
October 30, 2018
Companies often expect that AI models once implemented will stay smart and work magically, ever after
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Tags: AI, Analytics, HR
5 Reasons Why Businesses Struggle to Adopt Deep Learning
TDS
September 24, 2018
This article contains five reasons DL projects come to a screeching halt, even as they get started with the best of intentions
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Tags: AI, Analytics, Digital Transformation
The Real Reason behind all the Craze for Deep Learning
TDS
September 10, 2018
A simple English explanation of Deep Learning, minus the math, stats & code
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Tags: AI, Analytics, Digital Transformation
What are the 3 Stages where your Data Science Teams might Fail?
TDS
July 25, 2018
This article talks about what is the right mix of skills, tools, and processes for every stage in your analytics maturity
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Tags: AI, Analytics, HR
What are the Ingredients of a Terrible Data Story?
TDS
June 27, 2018
How ignoring the grammar of graphics can destroy even legendary data visualizations
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Tags: AI, Analytics, Digital Transformation
What’s the secret sauce to transforming into a Unicorn in Data Science?
TDS
June 07, 2018
This article talks about the roles in analytics and what skills are required to become ‘priceless’
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Tags: AI, Analytics, HR
‘Your data privacy was updated’ — Thanks for ignoring it yet again!
TDS
May 31, 2018
It’s raining GDPR emails, and why a blind ‘I agree’ is not okay
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Tags: AI, Analytics, Legal and IP
Visualizing Machine Learning: How Do We Humanize The Intelligence?
Martechseries
May 28, 2018
Summary: While the data science and AI disciplines go through exciting and exhilarating advances, it is important to keep the user’s expectations and experiences in perspective. This is very critical since a sizeable segment of target AI users are being alienated with deepening disconnect and distrust.
It doesn’t need a big dash of imagination to bridge this gap. Many of the enablers needed to build user trust and promote understanding are already available in our toolkit, and research in the field is quickly unraveling the rest.
What’s needed is an acknowledgment of this divide and a conscious effort to address it by adapting the above visual framework along with the constituent 4 key aspects, while implementing machine learning solutions
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Tags: AI, Analytics, Digital Transformation
How to flaunt your Passion for analytics in Data science job interviews?
TDS
May 24, 2018
The big challenge often comes down to demonstrating and defending this passion for analytics in a data science interview. How can one go about doing this to stand out from the crowd? Drawing from my experience and from what many practitioners look for in candidates, here are 5 steps to achieving this.
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Tags: AI, Analytics, HR
What frustrates Data Scientists in Machine Learning projects?
TDS
May 14, 2018
In this article we wade into the fantasy world of expectations from data science projects and find out the top misconceptions held by clients.
Here we’ll talk about the 8 most common myths I’ve seen in machine learning projects, and why they annoy data scientists. If you’re just getting into data science, or are already mainstream, these are potential grenades that might be hurled at you. Hence, it would be handy knowing how to handle them.
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Tags: AI, Analytics, HR
6 Reasons why Data Visualisation projects Fail
TDS
May 03, 2018
At times, one wonders what makes the visual display of information so tough.
Perhaps it’s got to do with the reduction of information design to lame, but slick dashboards displaying an assortment of KPIs.
Maybe it's the fancy charts and dazzling functionalities that have somewhere lost the pulse of the users.
Or, it’s the well-meaning initiatives that have gotten derailed midway due to conflicting priorities & confused execution.
Can we look at the key failure points in visualisation projects? Or, as a visualisation practitioner would you like some funny reflections of shared frustrations? Read on for a sampling of our experience at Gramener, from close to a decade of implementing visual intelligence at enterprises. Lets also discuss how these pitfalls can be tackled.
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Tags: AI, Analytics, Digital Transformation
4 Ways to fail a Data scientist job interview
TDS
April 18, 2018
While there are hundreds of ways to fail an interview, these can be isolated into 4 broad paths.
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Tags: AI, Analytics, HR
Catch me if you can: A simple english explanation of GANs or Dueling neural-nets
TDS
March 28, 2018
Deep learning GANs is one the biggest breakthrough technologies of 2018, as per MIT Technology Review’s annual list of top 10 tech
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Tags: AI, Analytics, Emerging Technology
So, Why Should Startups Care About Culture?
TDS
December 06, 2017
Lets dissect the influential role culture plays, in not just enabling growth and scale, but also in deciding whether a company would stay afloat and see the light of the day.
From my experience of building and scaling organisations, I try and explain this here with an interesting parallel of a child’s growth.
We’ll trace the path to see how culture forms at inception, what decides its evolution and when it could turn so dangerous that it warrants its destruction.
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Tags: AI, Analytics, Startups
Project Management Careers in Data Science
slideshare
October 31, 2022
This slide deck was used in the presentation made to the Project Management Institute (PMI) Metrolina Chapter on September 28, 2022.
Title:
Top Data Science Career Opportunities For Project Managers
- Art of the Possible with Data Science
- Industry case studies
Data & Analytics 101 for PMs: Key disciplines and terminologies
- Top roles in data analytics
- Project Management in Data Science
Takeaways:
- How managers influence D&A project outcomes
- Key responsibilities & tips for success
- Industry examples: Challenges and learnings
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Tags: AI, Analytics, Project Management
How AI Can Help Anonymize Clinical Trial Data
slideshare
September 15, 2022
This is the deck presented by Ganes Kesari at the PHUSE SDE Summer event at Boston, MA on August 23rd, 2022.
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Tags: Analytics, AI, Big Data
Penn State Guest Lecture: Business Forecasting in Real Life
slideshare
November 30, 2021
This deck was used in the guest lecture conducted at the Penn State College of Information Sciences and Technology. The session was delivered by Thanoj Kattamanchi and Ganes Kesari on November 30th, 2021.
Session Abstract:
What are the most common applications of forecasting techniques? This talk will share several industry case studies on forecasting. It will dive into the details of how a large agricultural conglomerate adopted price forecasting to achieve a revenue uplift of 3.2%. The session will cover the step-by-step approach adopted by the client, from business problem definition, data identification, variable selection, model evaluation, to deployment. It will conclude by sharing the top lessons learned and guidelines for aspiring data scientists considering a career in building machine learning applications.
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Tags: Analytics, AI, Big Data
500 startups cognitive bias in decision making
slideshare
November 18, 2021
What are the most common cognitive biases that impact leaders? How can early-stage startups lay a foundation for data-driven decisions?
In this fireside chat for 500 Startups, I addressed startup founders on how to champion good data stewardship, embed it in product development, and ensure organizational ROI from data.
The session was conducted on November 10th, 2021.
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Tags: Analytics, AI, Big Data
RBS Guest Lecture - Actionable Customer Intelligence with Journey Mapping
slideshare
July 10, 2021
This deck was used in the guest lecture delivered by Ganes at the Rutgers Business School, New Jersey, on July 7th, 2021. These slides were supplemented with a live business case that was used for the class discussion.
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Tags: Analytics, AI, Big Data
AI - Savior or Supervillain?
slideshare
June 24, 2021
This deck was used in the session conducted on June 24th, 2021
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5 Steps to Transform into a Data-Driven Organization
slideshare
May 29, 2021
This session was presented on May 27th, 2021, in a Webinar organized by Gramener.
https://info.gramener.com/5-steps-to-transform-into-data-driven-organization
Session Details:
Today, organizations struggle to get value from data despite significant investments. Did you know that there's one factor that influences the outcomes of all your data initiatives?
This webinar will highlight how an organization's data maturity influences its performance. It will show how you can assess your data maturity and plan the five steps for data-driven business transformation.
Pain points we would be discussing:
Most organizations stagnate midway in their data journey.
Gartner says that over 87% of organizations in the industry are at lower levels of data maturity (levels 1 and 2 on a scale of 5).
Just doing more data science projects will not improve your capabilities or outcomes. The fact is that the top challenges reported by CDOs fall into five common areas.
This webinar will show what they are and how you can tackle them.
Who should attend
- Executives, Chief Data/Analytics Officers, Technology leaders, Business heads, Managers
What Will You Learn?
- What is data science maturity, and why does it matter?
- How do you assess data science maturity and limitations of the assessment?
- How can data science maturity help your organization level up (explained with an example)?
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Tags: Analytics, AI, Big Data
Applications of AI in Supply Chain Management: Hype versus Reality
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December 07, 2020
We will discuss supply chain use cases and provide the opportunities that await the SCM professional who is equipped with skills in AI and ML.
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Tags: Analytics, AI, Big Data
How AI can Save Lives with the Help of Satellite Imagery
slideshare
November 02, 2020
This deck was used in the presentation at IM Data 2020, organized by RMDS Labs.
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Saving lives by applying AI to Satellite imagery
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October 22, 2020
This presentation was made in the Cities Rising Summit organized by the Tom Tom Festival
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What Really is AI and How will it Shape our Future?
slideshare
October 10, 2020
Presentation used for the talk at NANBEN NJ on Oct 10, 2020.
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How AI can help you make your Audience Sit up and take Notice
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June 16, 2020
This session was delivered in the IABC World Conference 2020, on June 15.
https://wc.iabc.com/sessions/
Session Abstract:
How do you cut through the clutter and connect with your audience? Can data make your message more credible? Can analytics help you craft compelling content? How can
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Tags: Analytics, AI, Big Data
How to Structure your Data Science Teams for Best Outcomes
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June 06, 2020
This session was presented on Jun 4th 2020, in a Webinar organized by Gramener.
https://info.gramener.com/how-to-structure-your-data-science-teams
Session Details:
Today, organizations understand that data science is a team sport. But how do you organize this multi-skilled team?
This we
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Tags: Analytics, AI, Big Data
'Recession-proofing' your Business with Data
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May 07, 2020
This session was presented on May 7th 2020, in a Webinar organized by Gramener.
https://info.gramener.com/recession-proofing-your-business-with-data
COVID-19 has disrupted every industry and precipitated a recession. With the virus still in the early stages of progression, the only certa
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Tags: Analytics, AI, Big Data
What's the Value of Data Science for Organizations: Tips for Invincibility in your Data Science Career
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April 30, 2020
This session was delivered as an Open Colloquium on Apr 30th 2020 for the Master in Information program students. It was organized by the Rutgers School of Communication & Information.
The session covers 3 themes:
- How do enterprises and not-for-profit organizations gain value from d
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Tags: Analytics, AI, Big Data
How Brands can use AI for Actionable Customer Intelligence
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April 23, 2020
This session was delivered on Apr 20th 2020 at the Rutgers Business School. This was a Guest Lecture for the "AI in Marketing" class.
Session Brief:
Today, customers interact with brands continuously, either intentionally or indirectly. They do so on a number of channels, and l
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Tags: Analytics, AI, Big Data
Transform your Brand's Customer Experience by using AI
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January 24, 2020
This deck was used in the presentation at the Concentric 2020 conference, on Jan 24th, 2020.
SESSION BRIEF:
Most organizations struggle to understand their customers. In a digital world, the power of data and technology is not tapped into. So, customer advocacy initiatives are short-sight
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Tags: Analytics, AI, Big Data
How to Build Data Science Teams
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January 16, 2020
These are the slides from the Gramener webinar conducted on 16-Jan-2020.
- What skills & roles will help you deliver your analytics and data visualization projects?
- What skills do most teams miss to hire for?
In a Gartner survey, CIOs reported 'team skills' as their biggest
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Tags: Analytics, AI, Big Data
The Best Way to Choose your Data Science Projects
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November 14, 2019
This was presented by Ganes Kesari on Nov 14th 2019, in a Webinar organized by Gramener Inc.
https://info.gramener.com/data-science-roadmap
Are your data science projects delivering business value? Do you have trouble finding the projects that can deliver the best ROI? Are the priorities
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Tags: Analytics, AI, Big Data
How Data Science can help Understand your Customers Better
slideshare
September 18, 2019
This was presented at the AT&T Retirees Quarterly ELATE Luncheon, on Sep 18th, 2019.
SESSION BRIEF:
Most organizations struggle to understand their customers. In a digital world, the power of data and technology is not tapped into. So, customer advocacy initiatives are short-sighted, transactional and unscientific. This session will show how organizations can listen to customers better. It will introduce you to AI techniques that are revolutionizing customer intelligence.
With examples, you will understand how these insights can be translated into business decisions.
LEARNING OBJECTIVES:
1. You will learn creative ways to find what customers are looking for right now
2. You will be introduced to advanced analytics techniques and storytelling with data
3. You will understand how data science can be applied for business decisions
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Tags: Analytics, AI, Big Data
Why is it difficult to achieve strategic differentiation using AI
slideshare
September 13, 2019
This deck was presented at ICC 2019, the ISACA Chennai Conference, by Ganes Kesari.
Session Abstract:
Today, every organization is trying to make their business AI-ready. However, industry reports claim that “80% of data science projects will not deliver value”. While the destination is clear, the path to be taken isn’t obvious.
Companies struggle with several questions: How to lay out a robust data science roadmap? What skills do you need to hire for? How do AI models translate to business value? How to sustain a culture of innovation and insight?
This session will answer these questions and show how organizations can apply AI at scale. It achieves the following learning objectives:
* How to align data science with the organization’s strategic objectives?
* How to setup and scale teams?
* What organizational structures help deliver business value with AI?
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Tags: Analytics, AI, Big Data
How Organizations can gain Strategic Advantage when Everyone is applying AI
slideshare
August 23, 2019
Talk by Ganes Kesari at the BA Conference, Columbus 2019 (https://www.iibacolumbus.org/2019-speakers)
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Tags: Analytics, AI, Big Data
How to Build Data Science Teams that Deliver Business Value
slideshare
May 22, 2019
Talk by Ganes Kesari at the Data Summit, Boston 2019 (http://www.dbta.com/DataSummit/2019/Agenda.aspx)
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Tags: Analytics, AI, Big Data
AI for Social Good - Saving the Planet with Data Science
slideshare
April 29, 2019
Presentation by Ganes Kesari at Strata, London on 30-Apr-2019
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Tags: Analytics, AI, Big Data
Smart Contract Risk Identification with AI
slideshare
April 26, 2019
Presentation by Ganes Kesari at the AI Legal Conference at Duquesne University, Pittsburgh on 26 April 2019
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Tags: Analytics, AI, Big Data
2019 Intelligent Cloud Conf - How Deep Learning is Saving the Planet
slideshare
April 09, 2019
Presented by Ganes Kesari at the Intelligent Cloud Conference, Copenhagen on 9-Apr-2019 (http://intelligentcloud.dk)
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Tags: Analytics, AI, Big Data
Counting the World with AI Models
slideshare
April 04, 2019
Talk by Ganes Kesari in AnacondaCON 2019 (https://anacondacon.io)
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Tags: Analytics, AI, Big Data
How Analytics is Reinventing Human Resources
slideshare
November 24, 2018
Every organization faces complex HR challenges with the building, managing and retention of teams. With the ready availability of rich, streaming data, smart talent analytics offers a solution.
This is a showcase of the practical applications of machine learning to simplify human resource management in organizations, using HR Analytics Examples from the work done by Gramener.
This is the deck from a talk by Ganes Kesari at Bots & AI New York meeting, on 12-Nov-18 at NYC.
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Grammar of Graphics: The secret sauce of Powerful Data Stories
slideshare
November 02, 2018
Charts are not monolithic entities. Learn how you can invent your own visuals by dynamically mapping data onto graphical elements.
Napoleon's March is used to illustrate how this concept can be used to create powerful data stories, or its absence can make a mockery of this visual, lacking any narrative!
This is the deck from a talk by Ganes Kesari at Data Visualization New York meeting, on 1-Nov-18 at NYC.
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Tags: Analytics, AI, Big Data
Deep Learning Applications in the Enterprise
slideshare
October 27, 2018
An introduction to Deep learning with a walkthrough of its application to business problems across a variety of areas. Case studies range from detection of animals to celebrities, classification of biodiversity to emotions and counting of crowds to coconuts.
Deck presented by Ganes Kesari B at the NJ Data Science Meeting, on 27th Oct 2018
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Tags: Analytics, AI, Big Data
Visualizing the Indian Elections
slideshare
July 19, 2018
Slides used in the talk by Ganes Kesari at Open Data Camp conducted at ISB Hyderabad, on 28th Jun 2014
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Tags: Analytics, AI, Big Data
New Age Tools in Data Journalism - Analytics & Visualization
slideshare
July 19, 2018
Slides from the talk delivered by Ganes Kesari, at IIIT R&D Showcase event, in Hyderabad on 18th Feb 2017.
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How to Enter the Data Analytics Industry?
slideshare
July 19, 2018
Slides from the Upgrad workshop conducted by Ganes Kesari on 10th Dec'16 at Hyderabad, India.
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Tags: Analytics, AI, Big Data
Conversational AI: Data story-telling for a Speech-driven world
slideshare
July 19, 2018
Slides from the talk by Ganes Kesari at "Data Visualization NY" event held on 17th Jul '18 at New School, NYC
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Tags: Analytics, AI, Big Data
Trends in Visualising Machine Learning: An approach to humanising the intelligence
slideshare
April 06, 2018
Presentation by Ganes Kesari B at the Global Data science conference in Santa Clara, California on 4th April 2018.
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"Using Visuals to Make Data-Driven Decisions"
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January 29, 2023
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What Skills Do You Need To Succeed as a Data Science Project Manager?
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January 27, 2023
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5 Popular Data Science roles for Project Managers
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January 25, 2023
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"Top 3 Challenges that Frustrate Managers in AI Projects"
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January 22, 2023
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"Data Science Project Management: 3 Insider Tips for Success"
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January 20, 2023
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Is AI creating real-world impact yet or is it still a buzzword?
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January 15, 2023
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What's a simple definition of innovation?
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January 13, 2023
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3 Tips for a Successful Career in Data Science
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January 11, 2023
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Building a Data Science Career: The Top 5 Roles You Must Know
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January 08, 2023
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Implementing AI in Social Projects: Best Practices and Lessons Learned
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January 06, 2023
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Defending African Elephants with Deep Learning
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January 04, 2023
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Conserving Antarctica's Penguins with the Help of AI
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January 01, 2023
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AI in Action: How a fish detector recognizes Salmons underwater
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December 30, 2022
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Exploring the Power of Deep Learning for Animal Detection in the Wild
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December 28, 2022
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How can you present customer insights as data stories? CX Data Storytelling in action
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December 25, 2022
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What is integrated customer intelligence? Analytics can help contextualize your customer journey
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December 23, 2022
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What do customers really want? Here's how AI can help you improve CX
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December 21, 2022
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How to spot unusual customer data? Look out for these 3 types of signals to improve your CX
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December 18, 2022
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Announcing my new venture - Innovation Titan
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December 16, 2022
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Will AI really deliver - for long, it's been the "next big thing"
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December 14, 2022
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Will AI take over or retreat into another winter - 3 scenarios explained
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December 11, 2022
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AI is a master content creator, but here's how this can hurt us
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December 09, 2022
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How can you use decision intelligence to tackle customer attrition?
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December 07, 2022
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What are some exciting applications of AI in Finance?
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December 04, 2022
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Can AI help eradicate dengue and save human lives?
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December 02, 2022
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How can you fight confirmation bias?
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November 30, 2022
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How do you bridge the gap between data & decisions?
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November 27, 2022
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How can you detect fraud using Visual Analytics?
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November 25, 2022
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What is Collective Intelligence (CI) and how You can Leverage it
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November 23, 2022
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3 Steps to Crafting Your Epic Data Story With A Semantic Layer
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November 22, 2022
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Should you fire your Customers? Here's how you can do it
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November 20, 2022
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Knights of Gramener Awards - Q2 FY 2022-2023
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November 14, 2022
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What are the 4 Types of Analytics Insights?
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November 09, 2022
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What Is Deep Learning (DL) And How Does It Work?
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November 06, 2022
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Why Is Artificial Intelligence (AI) Gaining Importance Yet Again?
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November 03, 2022
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Why Clients Love Ganes' Sessions!
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November 02, 2022
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What Is Artificial Intelligence (AI)?
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November 01, 2022
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How we help our clients make impactful data-driven decisions | A summary
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October 28, 2022
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How we help our clients make impactful data-driven decisions | Part 2
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October 28, 2022
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How we help our clients make impactful data-driven decisions | Part 1
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October 28, 2022
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Starting line for your data journey | Data Science Whiteboards S03 E04
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October 08, 2022
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How to Measure ROI on AI Investments | Naveen Gattu | Ai4 Event 2022
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October 04, 2022
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3 steps to make data-driven decisions for enterprises | Data Science Whiteboards S03 E03
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September 20, 2022
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3 Tips For Leaders To Foster Data-Driven Decisions At Their Firms
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September 16, 2022
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How to orchestrate data & analytics across your firm? | Data Science Whiteboards S03 E02
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September 13, 2022
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Predicting Heat Island in Calgary with GeoAI | Full Session by Sumedh Ghatage at GeoPython 2022
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September 12, 2022
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Predicting Heat Island in Calgary | Geo AI | GeoPython 2022
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September 12, 2022
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The most important data science role you should NEVER hire | Data Science Whiteboards S03 E01
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September 07, 2022
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Live Webinar | Using Computer Vision for Manufacturing Operations | Gramener
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September 05, 2022
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Computer Vision to Save Penguin Population | Podcast
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August 17, 2022
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Revolutionizing IVF Outcomes with AI | With Eran Eshed, CEO & Co-Founder at Fairtility
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July 01, 2022
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LeaAnne Ross from Evergreen on How Gramener Helped them Build Resilient Cities in Canada
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June 20, 2022
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3 Tips to Foster the Culture of Data-Driven Decisions | Ganes Kesari
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May 20, 2022
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Detecting Serious Diseases Using Keystrokes | Ganes Kesari & Richie Bavasso
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January 31, 2022
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Role of Digital Biomarkers in bringing Healthcare Home | Ganes Kesari & Andy Coravos
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January 31, 2022
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Dirty Data = Messy Models | Ganes Kesari & Tom Redman
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January 20, 2022
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Future Proof Author Kevin Roose & Ganes Kesari
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December 22, 2021
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OKRs & Data Culture | Ganes Kesari & Kenneth Paul Lewis
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November 22, 2021
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Leading Business Innovations in the Pandemic - A Summary | Ganes Kesari & Prof. V. Govindarajan
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October 26, 2021
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Using AI & Digital Twins in Clinical Trials | Charles Fisher CEO, Unlearn
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September 29, 2021
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Data Story: When are people born in the US? Do Sun signs drive School grades?!
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March 31, 2021
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How to Use Data to Tell Stories
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March 02, 2021
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How Geospatial AI can Save Millions of Human Lives from Mosquito-borne Diseases
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November 18, 2020
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Public Speaking: How to Improve your Body Language and Voice Modulation?
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November 15, 2020
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Should you memorize your talk? What does it take to deliver a great presentation?
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October 31, 2020
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4 Tips to Deliver a Remote Presentation
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October 25, 2020
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Saving Lives by Applying AI to Satellite Imagery (Cities Rising Summit, Online)
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October 24, 2020
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Public Speaking: Slide Creation Tips to Hold your Audience's Attention
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October 18, 2020
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Ganes Kesari - Uday Sanghani Dialogue | Automation Diaries: The Wizards of Automation
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September 10, 2020
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What's the Biggest Challenge your Organization will Face in Data Science?
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August 18, 2020
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The very pursuit of Data Science can improve your Data Quality. Here's why
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June 18, 2020
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6 Questions to detect a Fake AI Solution
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April 09, 2020
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What is Transfer Learning? An Intuitive Explanation
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August 31, 2019
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Top 6 Reasons why Data Visualization Projects Fail
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August 31, 2019
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How can you direct your own Data Movie?
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August 16, 2019
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Can Helping your Mom at Home get you more Marks at School? (ISB, Hyderabad)
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June 08, 2019
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Assessing Employee Engagement levels with Email Traffic
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June 08, 2019
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You Can Now Become an Expert Biologist, thanks to AI Models
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June 08, 2019
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Which US Cities offer the Best Tech Talent?
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June 08, 2019
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Spotting Animals in Forest Camera Traps using Deep Learning
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June 08, 2019
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Can you Predict the next Server Failure? (ISB, Hyderabad)
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June 08, 2019
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3 Stages Where Data Science teams Fail
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June 08, 2019
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Saving Salmon with Deep Learning
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June 08, 2019
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What influences Student Marks in School? (ISB, Hyderabad)
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June 08, 2019
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The Roles in Data Science Industry
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June 08, 2019
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What Skills are needed in Data Science?
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June 08, 2019
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What is Data Science?
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June 08, 2019
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The Real Reason behind all the Craze for Deep Learning
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June 08, 2019
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5 Reasons Businesses Struggle to Adopt Deep Learning
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June 08, 2019
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Securities Price Movement: A data storytelling case study (ISB, Hyderabad)
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June 08, 2019
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"What is Emotion Analytics?" Anand and Ganes discuss how AI can drive Data stories
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April 11, 2019
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Make AI & BI Work At Scale
CSuite Digital Leadership Award
Improving consumer journey and experience leveraging customer intelligence – A podcast with IBM
Saving Penguins with AI [Podcast with Intel]
The Role of AI in Saving Our Biodiversity [Podcast]
Successful Frameworks for Scaling Data Maturity
