Unlock access to Thinkers360 AI to fast-track your search for analysts and influencers.
This feature is available for Enterprise Lite and Enterprise Members Only.
You have been temporarily restricted. Please be more thoughtful when adding content for your portfolio. Your portfolio and digital media kit and should be reflective of the professional image you wish to convey. Accounts may be temporarily restricted if we receive reports of spamming or if the system detects excessive entries.
Membership
Publish your original ideas on the Thinkers360 platform!
This feature is available for Pro and Pro-Plus Members Only.
Speaker Bureau functionality whereby individuals can be featured speakers within our Speaker Bureau service and enterprises can find and work with speakers.
This feature is available for Pro, Pro-Plus, Premium and Enterprise Members Only.
Highlight your featured products and services within our company directory for enhanced visibility to active B2B buyers worldwide.
This feature is available for Pro, Pro Plus, Premium and Enterprise Members Only.
Publish on the Web’s #1 Thought Leadership Blog.Join the elite. Ranked the top thought leadership blog by Feedspot (2021–2025), Thinkers360 offers you more than just a platform - it offers authority. Share your insights with our community and tap into a combined network of over 100M followers through our peer-to-peer marketplace.
You’ve reached your daily limit for entering quotes. Please only add personally-authored content which is reflective of your digital media kit and thought leadership portfolio.
Thinkers360 Content Library
For full access to the Thinkers360 content library, please join ourContent Planor become a contributor by posting your own personally-authored content into the system viaAdd PublicationorImport Publication.
Dashboard
Unlock your personalized dashboard including metrics for your member blogs and press releases as well as all the features and benefits of our member plans!
Interested in getting your own thought leader profile? Get Started Today.
David Sweenor
Founder at TinyTechGuides
South Burlington, United States
David Sweenor is the founder of TinyTechGuides and host of the Data Faces podcast, where he talks with the people who are making data, analytics, AI, and marketing work in the real world. He is a recognized top 25 analytics thought leader and international speaker who specializes in the practical business applications of artificial intelligence and advanced analytics.
With over 25 years of hands-on experience implementing AI and analytics solutions, David has supported organizations including Alation, Alteryx, TIBCO, SAS, IBM, Dell, and Quest. His work spans marketing leadership, analytics implementation, and specialized expertise in AI, machine learning, generative AI, data science, IoT, and business intelligence.
David is the author of 11 books, including the TinyTechGuides titles Artificial Intelligence: An Executive Guide, The Generative AI Practitioner's Guide, and Modern B2B Marketing, along with the O'Reilly Media titles Democratizing Analytics, Automating Analytics, and ML Ops: Operationalizing Data Science. He holds several patents and consistently delivers insights that bridge technical capability with business value.
David Sweenor
Points
Academic
15
Author
1390
Influencer
58
Speaker
15
Entrepreneur
110
Total
1588
Points based upon Thinkers360 patent-pending algorithm.
Truth before meaning — the three-word fix for data management
Medium
April 14, 2026
Data leaders have been pitching “data quality” to executives for decades. For just as long, executives have nodded politely, approved a fraction of the requested budget, and moved on to whatever initiative sounds more exciting. Gartner estimates that poor data quality costs the average enterprise $12.9 to $15 million per year, yet data leaders still struggle to connect that cost to the language executives actually use.
Truth before meaning — the three-word fix for data management
Tiny Tech Guides
April 07, 2026
Data leaders have been pitching “data quality” to executives for decades. For just as long, executives have nodded politely, approved a fraction of the requested budget, and moved on to whatever initiative sounds more exciting. Gartner estimates that poor data quality costs the average enterprise $12.9 to $15 million per year, yet data leaders still struggle to connect that cost to the language executives actually use
Your AI doesn’t have a model problem. It has a data context problem
Import from medium.com
March 03, 2026
Euphonic AI’s Asa Whillock on the three layers of context most AI teams are missingListen now on YouTube | Spotify | Apple PodcastsThe Data Faces Podcast with Asa Whillock, CEO and Founder at Euphonic AII’ve often equated people with birds — they’re always chasing the next shiny objec
Why 80% of AI Projects Fail (And the Three Boring Decisions That Save the Other 20%)
Import from medium.com
October 27, 2025
AI analyst and DMRadio host Eric Kavanagh on the three unglamorous decisions that separate AI success from expensive failureContinue reading on Medium »
The PMM's Prompt Playbook: Mastering Generative AI for B2B Marketing Success
TinyTechMedia LLC
February 28, 2025
Product marketers face mounting pressure to deliver more content, campaigns, and insights with limited time and resources. Unfortunately, most are using elementary prompts and struggle to incorporate generative AI into their daily workflows in ways that save time and drive impact. As a marketing leader with 20+ years in data and analytics, I've tested hundreds of AI workflows and have identified what actually works for B2B product marketing.
The PMM's Prompt Playbook: Mastering Generative AI for B2B Marketing Success distills that experience into practical workflows that help you better understand customer needs, build rich personas, analyze competitors, enable sales teams, and plan product launches. There are no theoretical discussions about AI potential—just proven prompt-driven workflows that cut research time, accelerate content creation, and improve marketing outcomes.
Each chapter walks through specific workflows that are refined through real-world applications. You'll learn how to extract insights from customer feedback, create targeted content for different buyer personas, build compelling product narratives, and accelerate launch planning.
This is a practical guide for working smarter. Want to analyze a competitor's positioning in minutes instead of hours? Need to generate targeted content for five different personas? Looking to speed up launch planning without sacrificing quality? The workflows in this playbook show you how.
Written for busy product marketers who need proven solutions, this guide helps you deliver quick wins that drive real business impact. Every prompt and process has been tested and refined through hands-on experience in B2B technology marketing.
Remember, it's not the tech that's tiny, just the book!
The Generative AI Practitioner’s Guide: How to Apply LLM Patterns to Build Real World Enterprise Applications
TinyTechMedia LLC
July 20, 2024
Generative AI is revolutionizing the way organizations leverage technology to gain a competitive edge. However, as more companies experiment with and adopt AI systems, it becomes challenging for data and analytics professionals, AI practitioners, executives, technologists, and business leaders to look beyond the buzz and focus on the essential questions: Where should we begin? How do we initiate the process? What potential pitfalls should we be aware of?
This TinyTechGuide offers valuable insights and practical recommendations on constructing a business case, calculating ROI, exploring real-life applications, and considering ethical implications. Crucially, it introduces five LLM patterns—author, retriever, extractor, agent, and experimental—to effectively implement GenAI systems within an organization. The Generative AI Practitioner’s Guide: How to Apply LLM Patterns for Enterprise Applications bridges critical knowledge gaps for business leaders and practitioners, equipping them with a comprehensive toolkit to define a business case and successfully deploy GenAI.
In today’s rapidly evolving world, staying ahead of the competition requires a deep understanding of these five implementation patterns and the potential benefits and risks associated with GenAI. Designed for business leaders, tech experts, and IT teams, this book provides real-life examples and actionable insights into GenAI’s transformative impact on various industries.
Empower your organization with a competitive edge in today’s marketplace using The Generative AI Practitioner’s Guide: How to Apply LLM Patterns for Enterprise Applications. Remember, it’s not the tech that’s tiny, just the book!
Generative AI Business Applications: An Executive Guide with Real-Live Examples and Case Studies
TinyTechMedia LLC
February 01, 2024
Within the past year, generative AI has broken barriers and transformed how we think about what computers are truly capable of. But, with the marketing hype and generative AI washing of content, it’s increasingly difficult for business leaders and practitioners to go beyond the art of the possible and answer that critical question–how is generative AI actually being used in organizations?
With over 70 real-world case studies and applications across 12 different industries and 11 departments, Generative AI Business Applications: An Executive Guide with Real-Life Examples and Case Studies fills a critical knowledge gap for business leaders and practitioners by providing examples of generative AI in action. Diving into the case studies, this TinyTechGuide discusses AI risks, implementation considerations, generative AI operations, AI ethics, and trustworthy AI.
The world is transforming before our very eyes. Don’t get left behind—while understanding the powers and perils of generative AI. Full of use cases and real-world applications, this book is designed for business leaders, tech professionals, and IT teams. We provide practical, jargon-free explanations of generative AI’s transformative power.Gain a competitive edge in today’s marketplace with Generative AI Business Applications: An Executive Guide with Real-Life Examples and Case Studies. Remember, it’s not the tech that’s tiny, just the book!
The CIO’s Guide to Adopting Generative AI: Five Keys to Success
TinyTechMedia
October 24, 2023
In a world full of generative AI hoopla, it's easy to get lost in the maze of options and marketing hype. Don't get distracted by the vendor hype; instead, focus on building resilient, high-value platforms that will set you apart from the competition. The CIO’s Guide to Adopting Generative AI: Five Keys to Successfills a critical knowledge gap for CIOs and business leaders by succinctly offering five success factors that need to be met before an organization can successfully incorporate generative AI.
To unlock the transformative business value of generative AI, business leaders must: 1) identify enterprise use cases, 2) apply context to large language models (LLMs) using their organization's data, 3) take special precautions to ensure data security and privacy, 4) implement an artificial intelligence (AI) governance framework, and 5) build manageable AI applications for business users. This report provides the keys to unlocking the true potential of generative AI.
Full of use cases and real-world applications, this report is designed for business leaders, tech professionals, and IT teams. We provide practical, jargon-free explanations of generative AI's transformative power.
Gain a competitive edge in today's marketplace with The CIO’s Guide to Adopting Generative AI: Five Keys to Success. Remember, it's not the tech that's tiny, it's the book!
Modern B2B Marketing: A Practitioner's Guide to Marketing Excellence
TinyTechMedia LLC
May 20, 2023
There are untold resources on marketing and its different functions—brand marketing, content marketing, social media marketing, and more. However, throughout our combined fifty years in the field, we have failed to find a digestible book for business-to-business (B2B) marketing grounded in day-to-day realities that explains how various marketing functions fit together. This book provides practical explanations, advice, tips, and best practices on how B2B marketing actually works.
Modern B2B Marketing: A Practitioner's Guide for Marketing Excellence is designed for anyone who leads, works, or engages with marketing. It’s for business leaders and chief marketing officers (CMOs) who want to learn how to sustain a high-performance marketing organization; for product managers and sales professionals who often work with marketing but don’t understand how it all fits together; and for marketers early in their careers who want to understand how B2B software marketing works outside of a classroom setting. This book is not about marketing technology or a rehash of the Pragmatic Marketing Framework. It is a practitioner's guidebook for effective, modern B2B marketing.
Centered around a new model for modern marketing, Modern B2B Marketing is built around the customer. It provides an integrated framework and approach to marketing, including downloadable templates that will help you improve performance in portfolio and product marketing, content marketing, demand generation, marketing operations, customer advocacy, and more.
If you want to gain a competitive advantage in today’s fast-paced digital world, this TinyTechGuide is for you!
Remember, it’s not the tech that’s tiny, just the book!
Artificial Intelligence: An Executive Guide to Make AI Work for Your Business
TinyTechMedia LLC
April 02, 2022
In the business world, the very term artificial intelligence (AI) is shrouded in mystery. For some, it’s the brains behind a robotic apocalypse. For others, it provides hope for a better society with self-driving cars, food security, and medical breakthroughs. But what about for businesses? For most executives , the term “AI” is vague, confusing, and although intriguing, it seems unapproachable.
Artificial Intelligence: An Executive Guide to Make AI Work for Your Business is designed for non-experts—it’s for business teams, business leaders, and executives who never seem to have enough time in the day to learn about the latest technology trends. TinyTechGuides are meant to be read in under two hours and focus on the application of technologies in business, government, and educational settings.
This book covers the fundamentals of AI: data, analytic, and automation technologies—from modern data management techniques to chatbots, machine learning, natural language processing (NLP), robotic process automation (RPA), and computer vision. It discusses the business benefits of AI, the importance of AI ethics, MLOps, and provides real steps on how to start your AI journey.
With real-world examples of businesses applying AI, you’ll learn how to use AI within Accounting & Finance, Marketing & Sales, Research & Development, Supply Chain, IT, Human Resources, and Service and Support. There are practical industry examples across Banking & Finance, Energy & Utilities, Insurance, Government, Healthcare, Life Sciences, Manufacturing, Retail, Telecom, and Transportation & Logistics.
If you want to know how AI can be applied to improve your business, this TinyTechGuide is for you! Remember, It’s not the tech that’s tiny, just the book!
It's All Analytics – Part II: Designing an Integrated AI, Analytics, and Data Science Architecture for Your Organization
Routledge, Taylor and Francis Group
September 29, 2021
Up to 70% and even more of corporate Analytics Efforts fail!!! Even after these corporations have made very large investments, in time, talent, and money, in developing what they thought were good data and analytics programs. Why? Because the executives and decision makers and the entire analytics team have not considered the most important aspect of making these analytics efforts successful. In this Book II of "It’s All Analytics!" series, we describe two primary things: 1) What this "most important aspect" consists of, and 2) How to get this "most important aspect" at the center of the analytics effort and thus make your analytics program successful.
Customers such as Cisco, DocuSign, Nasdaq, Pfizer, and Samsung trust Alation’s platform for self-service analytics, cloud transformation, data governance, and AI-ready data, fostering data-driven innovation at scale. Headquartered in Redwood City, California, Alation has been recognized five times by Inc. Magazine as one of the Best Workplaces.
TinyTechMedia, the makers of TinyTechGuides. TinyTechGuides are designed for non-experts — they’re designed for business teams, business leaders, and executives who never seem to have enough time in the day to learn about the latest technology trends. They are designed to be read in an hour or two and focus on the application of technologies in a business, government, or educational institution.
THE USE OF POLYNOMIAL NEURAL NETWORKS IN PREDICTING SURVIVAL OF SWINE IN HEMORRHAGIC SHOCK
Telemedicine Journal
July 01, 2004
The first 20 to 30 minutes after an injury is the time window faced by the Army medic within which triage and rescue decisions must be made. In the battlefield setting, roughly 20% of mortalities occur before injured soldiers can he transported to the Battle Aid Station (BAS). After arriving at the BAS, mortality rates fall to about 3%. This research addresses the utility of polynomial neural network (PNN) models in predicting mortality during hemorrhagic shock (HS) for use in trauma triage. Data from over 100 swine were acquired from two HS experimental protocols. Swine in the first group had HS induced through a Grade V liver injury, whereas those in the second group received an aortotomy. Four time-stamped physiological variables were measured: systolic and diastolic blood pressure, mean arterial pressure, and heart rate. Sampled every 10 seconds, these data will be used to predict mortality one hour after injury. The hypothesis is that the PNN models will be able to learn effectively the dynamic characteristics of HS data and will be an effective aid in mortality prediction for trauma triage.
The use of polynomial neural networks for mortality prediction in uncontrolled venous and arterial hemorrhage
Journal of Trauma
January 01, 2002
The ability to rapidly and accurately triage, evacuate, and utilize appropriate interventions can be problematic in the early decision-making process of trauma care. With current methods of prehospital data collection and analysis, decisions are often based upon single data points. This information may be insufficient for reliable decision-making. To date, no studies have attempted to utilize data at multiple time points for purposes of enhancing prediction, nor have studies attempted to synthesize prediction models with data reflecting both large-vessel venous and arterial injuries. Therefore, we performed a retrospective study to examine the potential utility of dynamic neural networks in predicting mortality using highly discretized uncontrolled hemorrhagic shock data.
On defining the optical gap of an amorphous semiconductor: an empirical calibration for the case of hydrogenated amorphous silicon
Solid State Communications
April 08, 1999
It is pointed out that there are a number of different means whereby the optical gap of an amorphous semiconductor may be defined. We analyze some hydrogenated amorphous silicon data with respect to a number of these empirical measures for the optical gap. By plotting these gap measures as a function of the breadth of the optical absorption tail, we provide a means of relating these disparate measures of the optical gap.
When AI gets its own interview
Tiny Tech Guides
April 09, 2026
So, an A-Eye, a Data Whisperer, and a podcast host walk into a bar. The A-Eye orders for everyone. The Data Whisperer asks why nobody checked the drink menu first. The host just sits there wondering how he ended up singing Old MacDonald on camera.
Escaping operational black holes with unified ‘full-fidelity’ observability
IDG Connect
June 26, 2022
As tech leaders now look to gain deep and granular tranches of management control across their IT estates, there is a reasonable (if not compelling) argument for questioning the form, focus and fidelity of our observability viewpoint – the alternative may be something like a journey down an operational black hole, which is clearly a fairly suffocating experience for everyone.
A new recipe for enterprise data, 'too many cooks' is over
IDC Connect
January 20, 2022
The adage 'too many cooks' might still apply in the soup kitchen, but in cloud-centric data analytics, there is an argument for more ingredients (data sources), more cooks (data scientists) and more servings all round.
Getting Started with Data Science as an SMB
EM360
July 09, 2021
science is out of their reach because they can’t afford to hire an expensive data analyst. In fact, Michael Guta reports that 67% of small businesses spend more than $10,000 per year on analytics. However, analysing data doesn’t have to come with a high cost and you don’t have to be an online titan like Amazon to be able to compete in the data-driven business movement. Modern technology means that the ability to take data and turn it into a problem-solving insight is no longer exclusively within the realms of those companies with big budgets or individuals with years of experience or a specific university degree. These myths against the use of data in SMBs need to be dispelled. It's time for SMBs to leverage data in order to survive and thrive!
Method and a system for on-boarding, administration and communication between cloud providers and tenants in a share-all multi-tenancy environment
USPTO
September 12, 2013
A method of ascertaining requirements for onboarding new users to a multi-tenant computing environment is provided herein. The method starts off with the stage of recognizing the organizational roles of the new users. The method continues to the stage of identifying parameters pertaining to the service. The method then goes on to mapping the organization roles of the new users and the service parameters to a set of rules. The method further includes determining actions needed to be taken on the computer environment based on the set of rules. Finally, the method goes on to the stage of onboarding the new users to the computer environment.
Learning based logic diagnosis
USPTO
July 07, 2009
A system and method for diagnosing a failure in an electronic device. A disclosed system comprises: a defect table that associates previously studied features with known failures; and a fault isolation system that compares an inputted set of suspected faulty device features with the previously studied features listed in the defect table in order to identify causes of the failure.
Forget AGI. Your AI Is Dumb Without Your Data | Josh Howard, Databricks
Import from wordpress feed
June 02, 2026
"Without context, your agents are dumb." That's how Josh Howard, Senior Director of Product Marketing for Executive Audiences at Databricks, closed Episode 40 of the Data Faces Podcast.Frontier models are some of the most advanced technology of our lifetime. They are also dumb in the w
Metadata, semantics, and the future of AI context | Steve Wooledge
Import from wordpress feed
May 19, 2026
The difference between an AI that "hallucinates" and one that acts intelligently lies in context.In Episode 39 of the Data Faces Podcast, Steve Wooledge (CMO at Collate) joins David Sweenor to discuss why metadata, once a technical "card catalog," is now the foundational layer fo
Bots Need Not Apply: Authentic Voices in Data and AI | Kate Strachnyi
Import from wordpress feed
May 05, 2026
LinkedIn has a "rewrite with AI" button. Meanwhile, Kate Strachnyi is building an entire media company on authentic human voices. Is she right?In Episode 38 of the Data Faces Podcast, Kate Strachnyi (Founder, DATAcated) shares how she pivoted from finance to data visualization, built a 40+
Why Bad Data Didn't Matter Until Now | Brendan Grady
Import from wordpress feed
April 21, 2026
For 25 years, data quality was everyone'sproblem and nobody's priority. Brendan Grady, EVP and GM of Analytics & AIat Qlik, explains why the stakes just changed.In this episode recorded on location at QlikConnect 2026, David Sweenor and Brendan discuss consequence management, whereenterp
Why bad data didn’t matter until now
Tiny Tech Guides
April 21, 2026
For 25 years, data quality has been everyone’s problem and nobody’s priority. For some, it was an IT problem, and for others, it was a business problem. But most of the time, fixing it at scale was largely ignored. What would you do if a number in the spreadsheet looked off? You’d fix it and move on with your day. The same with questionable metrics on dashboards. We’ve been able to tuck and hide the cost of bad data in a manual world for a while now. Since the pace of business was slower, there were no real consequences for getting it wrong.
A-Eye Gets Its Own Interview | Data Puppets Bonus
Import from wordpress feed
April 09, 2026
On the Data Faces Podcast, I usually interview someone with a whole face. For this bonus segment, I made an exception.Scott Taylor's Data Puppets character "A-Eye" joins the show fresh from the Gartner Data & Analytics Summit. The puppet had thoughts about agentic AI, data governan
Truth Before Meaning in Data Management | Scott Taylor
Import from wordpress feed
April 07, 2026
Data leaders have been pitching "data quality" to executives for decades, and the pitch keeps falling flat. Scott Taylor, the Data Whisperer, explains why — and what to do instead.In Episode 34 of the Data Faces Podcast, Scott Taylor (MetaMeta Consulting) shares his three-word data philo
Data Intelligence & Agentic AI | Stewart Bond, IDC
Import from wordpress feed
March 24, 2026
Stewart Bond coined the term "data intelligence" in 2016. Now it's a market category. Here's how it happened — and why it matters more than ever for AI.Stewart Bond, Research VP at IDC, joins David Sweenor on the Data Faces Podcast to trace the origins of "data intelligence&
Storytelling Is the Most Durable Data Skill | Michael Meyer
Import from wordpress feed
March 10, 2026
"All the computer programs that have ever needed to be written have already been written." That's what Michael Meyer's guidance counselor told him in the late 1980s. 35 years later, he's still proving that advice wrong.In this episode of the Data Faces Podcast, host David Sween
Culture Eats AI for Breakfast | Randy Bean
Import from wordpress feed
January 27, 2026
???? Most companies invest heavily in data and AI—yet few see real business impact. Why?In this episode of Data Faces, David Sweenor sits down with Randy Bean to unpack four decades of lessons from the front lines of data, analytics, and AI leadership.Randy shares insights from his long-running Fo
AI Predictions for 2026 That Actually Matter | Tom Davenport
Import from wordpress feed
January 13, 2026
???? AI is everywhere—but what’s real, what’s hype, and where is the business value actually coming from?In this episode of the Data Faces Podcast, David Sweenor sits down with Tom Davenport, Distinguished Professor at Babson College and one of the most trusted voices in analytics and AI. They
The End Goal of AI: Humans, Not Machines | Eric Kavanagh
Import from wordpress feed
October 22, 2025
???? What’s the real end game of AI? Is it about smarter machines—or smarter organizations?In this episode of Data Faces, Eric Kavanagh, AI analyst and syndicated radio host of DM Radio, joins David Sweenor, founder of TinyTechGuides, to explore what success in AI truly means for business, techn
There Is No Post-AI World | John Thompson
Import from wordpress feed
March 25, 2025
How are autonomous AI agents reshaping enterprise operations? In this episode of The Data Faces Podcast, John Thompson, Global AI Leader at EY, cuts through the hyperbole to provide a strategic assessment of opportunities, risks, and governance requirements based on his decades of implementation exp
AI & Automation in Finance: The Cognitive CFO | Jawwad Rasheed
Import from wordpress feed
March 11, 2025
???? AI & Analytics in Finance: The Future of CFOs | Jawwad RasheedHow are AI and analytics reshaping finance? In this episode of The Data Faces Podcast, Jawwad Rasheed, Financial Services & Transportation Lead at Alteryx, explores how finance leaders can leverage AI, analytics, and automati
AI Agents & Data Strategy | Sanjeev Mohan
Import from wordpress feed
February 25, 2025
???? AI Agents & Data Strategy | Sanjeev MohanAI agents are transforming business and data strategy, but are they ready for real-world deployment? In this episode of The Data Faces Podcast, Sanjeev Mohan , former Gartner VP and AI expert, joins us to discuss the rise of AI agents, their role in
Beyond AI Hype: What 20% of Companies Get Right | Shawn Rogers
Import from wordpress feed
February 11, 2025
???? Beyond AI Hype: What 20% of Companies Get Right | Shawn RogersThe AI revolution is here—but only 20% of companies are getting it right. What are they doing differently? In this episode of The Data Faces Podcast, Shawn Rogers, CEO of BARC and AI thought leader, shares research-backed insights
The Role of Data Trust in AI Success | Kamal Maheshwari
Import from wordpress feed
January 21, 2025
???? The Role of Data Trust in AI Success | Kamal MaheshwariAI is only as good as the data it learns from—so how can businesses build AI on trusted, high-quality data? In this episode of The Data Faces Podcast, Kamal Maheshwari, Co-Founder of @decube_data, shares insights on why data trust is esse
Gen AI in 2025: Why 90% Fail & How to Succeed | Kjell Carlsson
Import from wordpress feed
January 02, 2025
???? Gen AI in 2025: Why 90% Fail & How to Succeed | Kjell CarlssonHow can organizations separate AI hype from reality and build AI responsibly? In this episode of The Data Faces Podcast, Kjell Carlsson, Head of AI Strategy at Domino Data Lab, shares insights on AI governance, data trust, and th
The Future of AI: Lessons from History | Kevin Petrie
Import from wordpress feed
December 11, 2024
???? The Future of AI: Lessons from History | Kevin PetrieWhat can history teach us about AI's future? In this episode of The Data Faces Podcast, Kevin Petrie, VP of Research at BARC US, shares insights on how past technological revolutions mirror today’s AI boom, the risks of hype, and what busin
The Ethics of AI: Fairness, Bias & Responsibility | Monica Cisneros
Import from wordpress feed
November 14, 2024
???? The Ethics of AI: Fairness, Bias & Responsibility | Monica CisnerosAI is shaping our world—but is it truly fair and responsible? In this episode of The Data Faces Podcast, Monica Cisneros, AI and Data Analytics expert, explores the challenges of AI fairness, bias, and governance. We discu
What continued growth for Digital Transformation means for CIOs
Intelligent CIO
February 18, 2022
Digital Transformation is the incorporation of computer-based technologies into an organisation’s solutions, processes, and strategies. Industry pundits look at how enterprises in the Middle East and Africa (MEA) are winning with Digital Transformation, business benefits and digital technologies as the growth trajectory continues.
Analytics Democratization vs. Governance: Are they at odds?
Gartner.com
May 11, 2022
As companies embark on their journey to democratize analytics across their organization, questions of governance often come up. Is the very concept of analytics governance and democratization at odds? Join this session to hear how UBS balances the seemingly conflicting approaches.
Training Day: How to Optimize Predictive Algorithms (ML)
DMRadio
December 02, 2021
The power of prediction is well known in the analytics industry. The big question for today: How do you optimize, both from a design and production perspective? Join this conversation to hear Host @Eric_Kavanagh interview Kathleen L. D. Maley of Experian, David Sweenor of Alteryx and Tim Wyatt from Lookout.
Mcdonald's Journey to Analytics Enablement
DATACated
March 29, 2022
See how McDonald's is using analytics automation to democratize data
Every organization needs insights, but the path to analytics maturity can be daunting if leaders don’t know where to start. Listen to this on-demand webinar with McDonald’s’ director of global data and analytics enablement, Jeff Nieman, to hear how he’s helping McDonald’s on its path to enterprise-wide analytics enablement.
Up-Skilling for Analytics – Keys to Success
Inside Analysis
January 19, 2022
The key to success in analytics tends to be a moving target. First, we focused on the data, then the queries. With data science, we pivoted to more complex algorithms to find those meaningful insights. But regardless of which approach you take, there is one common thread that leads to breakthrough outcomes for your business: Automation!
Check out this episode of #InsideAnalysis to hear Host @eric_kavanagh interview several industry experts: Melissa Burroughs and David Sweenor of Alteryx, and Nick Jewell of Datacurious.ai. They’ll discuss the importance of knowing which automations can generate the optimal value, as well as the critical need for up-skilling your team.
Join Thinkers360 for free! Are you a Reader/Writer, Thought Leader/Influencer (looking to increase your earnings), or an Enterprise User (looking to work with experts)?
The question that separates AI value from sunk cost
Forget AGI. Your AI is dumb without your data.
Governance now decides whether AI delivers value
Meeting users where they are
Convert the marketing prompt workflows you’ve already written
Why AI agents require a Switzerland approach to metadata
The Claude folder most marketers can’t find
Is your Claude marketing OS a little quirky?
Marketing moats: what of that?
Bots need not apply
Truth before meaning — the three-word fix for data management
Truth before meaning — the three-word fix for data management
Your AI doesn’t have a model problem. It has a data context problem
Stop marketing to individuals when committees make the decision
Why the biggest AI enthusiasts care most about governance
How to build thought leadership that compounds
Culture Eats AI for Breakfast
Why boring AI use cases will win in 2026
3 AI Lessons from 27 Data Leaders in 2025
Why code-first data science still wins in the age of AI
Data Lineage for AI: Why Truth Beats Hope in Banking
The Barcode on the Bronze: Why Your AI Needs to Know What Makes You Different
Augmented Intelligence: The Future of Sales Enablement
Why 80% of AI Projects Fail (And the Three Boring Decisions That Save the Other 20%)
How to Spot AI Content: When Writing Lacks Personality
The PMM's Prompt Playbook: Mastering Generative AI for B2B Marketing Success
The Generative AI Practitioner’s Guide: How to Apply LLM Patterns to Build Real World Enterprise Applications
Generative AI Business Applications: An Executive Guide with Real-Live Examples and Case Studies
The CIO’s Guide to Adopting Generative AI: Five Keys to Success
Modern B2B Marketing: A Practitioner's Guide to Marketing Excellence
Artificial Intelligence: An Executive Guide to Make AI Work for Your Business
Automating Analytics: A Human Centered Approach to Transformative Business Outcomes
It's All Analytics – Part II: Designing an Integrated AI, Analytics, and Data Science Architecture for Your Organization
ML Ops: Operationalizing Data Science
Reporting, Predictive Analytics, and Everything in Between
Alation
When AI gets its own interview
Democratizing Data Science to Better Mitigate Risk
Why bad data didn’t matter until now
