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David Sweenor

Sr. Director of Product Marketing at Alteryx

South Burlington, United States

David Sweenor is an analytics thought leader, international speaker, author, founder of TinyTechGuides, and has co-developed several patents. David has over 20 years of hands-on business analytics experience spanning product marketing, strategy, product development, and data warehousing. He specializes in artificial intelligence, machine learning, data science, business intelligence, the internet of things (IoT), and manufacturing analytics. David is currently the Sr. Director of Marketing at Alteryx.

David Sweenor Points
Academic 15
Author 324
Influencer 54
Speaker 15
Entrepreneur 180
Total 588

Points based upon Thinkers360 patent-pending algorithm.

Thought Leader Profile

Portfolio Mix

Company Information

Company Type: Company
Media Experience: 10
Last Media Training: 05/01/2021

Areas of Expertise

AI 34.99
Analytics 60.47
Big Data 65.72
Legal and IP 64.57
Emerging Technology 30.25

Industry Experience

High Tech & Electronics
Manufacturing

Publications

24 Article/Blogs
Analytics Democratization vs. Governance: Are They at Odds?
Import from medium.com
September 27, 2022
Democratizing Analytics at UBSPhoto Courtesy of UBS Media Kit (https://www.ubs.com/global/en/media/photos/our-locations.html)Well, are they?Are you finding that governance and democratization are at odds in your organization? Are your line-of-business managers slow to adopt analytics in general and

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Tags: AI, Analytics, Big Data

Data use and Ethical Responsibility
Compliance Magazine
September 24, 2022
Big data and the insights that lie hidden within it have become an integral part of the German economy. As a Bitkom survey revealed, the vast majority of companies are already collecting information in order to analyze it and use the results to optimize internal processes and increase business value. At the same time, however, most people overlook the fact that with this success comes a new responsibility.

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Tags: Analytics, AI, Big Data

Democratizing Analytics for Organizational Success
TDWI
September 16, 2022
Data and analytics used to be the province of anyone with a task to complete, so how did it become a field for the specialists only? How can we make it for everyone once again?

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Tags: AI, Analytics, Big Data

The Art of The AI KPI
Import from medium.com
September 12, 2022
Creating a KPI Game Plan“Not everything that can be counted counts and not everything that counts can be counted.” -Albert EinsteinImage Courtesy of Author — David E. SweenorSome say data is the new oil. It’s not, as the World Economic Forum pointed out in 2018. Petroleum is a finite

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Tags: AI, Analytics, Big Data

Crossing the Analytics and AI Chasm
Import from medium.com
September 06, 2022
A Framework for leaders to build out their data and analytics practicesPhoto Courtesy of Author — David E. SweenorA recent study from NewVantage Partners found that 92% of organizations are increasing their investments in data and artificial intelligence (AI). The study goes on to say that on

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Tags: AI, Analytics, Big Data

Unconscious bias in AI models: is synthetic data the ethical solution?
Journal du Net
August 23, 2022
Previously considered the preserve of the data scientist, artificial intelligence is now omnipresent in our daily lives.

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Tags: AI, Analytics, Big Data

Scaling cloud analytics: can governance keep pace with the democratisation imperative?
Digitialization World
August 23, 2022
See Page 52.
Cloud is one of the most discussed – and arguably least understood - topics
of the last decade. The move to cloud was the ultimate catch-all term for a
long period of time – something that could deliver health, wealth, happiness,
a better hairline, or even that endearing sports car that caught your eye.

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Tags: AI, Analytics, Big Data

The key myths impeding AI and Machine Learning success – and why there’s no truth in them
The AI Journal
August 22, 2022
Any successful endeavor — from house building to digital transformation — requires the establishment of strong foundational knowledge, and this holds true when trying to unlock AI and produce positive, actionable outcomes. However, many companies battle to get past some of the more common AI myths and misconceptions.

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Tags: AI, Analytics, Big Data

Top 5 Strategies to Future-Proof Analytics, Data Science, and ML Investments
Import from medium.com
August 22, 2022
A Guide for Business Leaders to Maximize Their InvestmentsPhoto by Dominik Scythe on UnsplashWhen COVID-19 struck in early 2020, everyone’s data science and ML models broke. The pandemic fundamentally changed the nature of work and accelerated activities to become data driven.Wow, times have cer

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Tags: AI, Analytics, Big Data

Why So Many Organizations Are Getting AI and Machine Learning Wrong
Import from medium.com
August 17, 2022
The Future Flail of AI: Automating Bad Decisions FasterWaikiki, HI Photo Courtesy of Author — David E SweenorIf you want ROI on your data science investment, you must understand what it can (or can’t) do. Otherwise, you’re throwing time and money away.Artificial intelligence (AI) was sup

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Tags: AI, Analytics, Big Data

The Biggest Challenges When Adopting Data and AI Technologie
InsideBigData
August 16, 2022
With the right technical infrastructure and data-literate work culture, the challenges with the adoption of data science and machine learning technologies can be easily addressed.

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Tags: AI, Analytics, Big Data

Data Analytics - Here's How SMEs Can Get on Board Now
BigData-Insider
August 16, 2022
Every business has vast amounts of data at its disposal, and the midmarket is no exception. Every human being already generates an average of more than one gigabyte a day, and the trend is rising. According to statistics, however, only two percent of the data generated is actually saved. This means that their great potential for processing and analysis for new insights is lost. But even when information stays in the system, it's often hidden in spreadsheets that are difficult to analyze.

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Tags: AI, Analytics, Big Data

Data Ethics - Here's How SMEs Can Get on Board Now
IT-Business
August 15, 2022
Every company has huge amounts of data - even in medium-sized companies. According to statistics, however, only two percent of the data generated is actually saved. This means that their great potential for processing and analysis for new insights is lost.

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Tags: AI, Analytics, Big Data

Why Data Ethics Leadership Needs to Become the New Normal in Finance
Global Banking and Finance Review
August 13, 2022
If data is the fuel needed to drive modern business insights, then AI is the turbo engine that powers this process – delivering new solutions and insights far faster than previously possible. Conversely, however, using AI automation at this scale without a data ethics leader in such a highly regulated environment is the equivalent to starting a road trip with no map, no sense of direction, nor an ability to adjust course to get back on track.

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Tags: AI, Analytics, Big Data

Artificial intelligence and data ethics: Four tips on how companies can reconcile the two
All About Security
August 10, 2022
Algorithms influence our lives: they personalize recommendations for our music and television consumption, recognize fraudulent online orders and decide who is invited to an interview. The use of AI models has grown rapidly over the past 20 years, going as far as being used for mortgages, financial applications, and even targeted advertising. But what can companies do to ensure their AI projects are ethical?

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Tags: AI, Analytics, Big Data

Unconscious Bias in #AI Models - Can Synthetic Data be an Ethical Solution?
Netzpalaver
July 19, 2022
How can unconscious biases in AI models be detected and reduced?

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Tags: AI, Analytics, Big Data

Five myths about artificial intelligence and machine learning
Computer Weekly
May 06, 2022
There are a number of myths surrounding artificial intelligence and machine learning. Those responsible should be aware of these points in order to lead AI and ML projects to success.

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Tags: AI, Analytics, Big Data

The biggest misconceptions about artificial intelligence
IT Daily
March 12, 2022
79 percent of companies in Germany expect that artificial intelligence (AI) will noticeably change our economy and society - and not at some point, but already in the course of this decade.

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Tags: AI, Analytics, Big Data

Accelerate Digital Transformation with Automated Analytics
Import from medium.com
March 05, 2022
Photo by David E Sweenor. ‘Iao ValleyAutomated analytics is the fuel for your organization’s growth, keeping it relevant, agile, and one step ahead of your competitors.Change is inevitable, change is constant, and for business, change can be scary. However, rather than hide from this eventualit

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Tags: AI, Analytics, Big Data

The Case for a Global Responsible AI Framework
Import from medium.com
February 23, 2022
A Global AI Framework is NeededThe design and use of artificial intelligence is proving to be an ethical dilemma for companies throughout the United States considering its implementation. While currently only 6% of companies have embraced AI-powered solutions across their business, according to a s

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Tags: AI, Analytics, Big Data

Finding the right problem to solve is unique to each business
Business Transformation
February 09, 2022
To become data-driven, we need to start with data literacy programmes.

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Tags: AI, Analytics, Big Data

The Case for a Global Responsible AI Framework
KDNuggets
October 30, 2021
Framework

Public and private organizations have come out with their own set of AI principles, focusing on AI-related risks from their perspective. However, it’s imperative d=to have a global consensus on Responsible AI – based on data governance, transparency and accountability – on how to utilize and benefit from AI in a way that is both consistent and ethical.

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Tags: AI, Analytics, Big Data

Developing a data-driven business: Four scalable strategies for any SMB to turn data into problem-solving insight
ITProPortal
September 23, 2021
There exist a range of myths against the use of data analytics that need to be dispelled

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Tags: AI, Analytics, Big Data

The Rise of the Citizen Data Scientist
DataScienceCentral.com
October 08, 2017
The development of Big Data, artificial intelligence and predictive analytics has created extravagant expectations for enterprise productivity growth — and aroused popular anxiety about intelligent information systems taking jobs from human workers. It is ironic, against that backdrop, that what is holding back widespread adoption of these technologies is, of all things, a manpower shortage.

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Tags: AI, Analytics, Big Data

5 Books
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!

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Tags: AI, Analytics, Big Data

Automating Analytics: A Human Centered Approach to Transformative Business Outcomes
O’Reilly Media
October 22, 2021
Transformation without analytics is just digitization. Analytics makes it transformative.
—David Sweenor, Alteryx

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Tags: AI, Analytics, Big Data

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.

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Tags: AI, Analytics, Big Data

ML Ops: Operationalizing Data Science
O’Reilly
April 01, 2020
Four Steps to Realizing the Value of Data Science Through. Model Operations

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Tags: AI, Analytics, Big Data

Reporting, Predictive Analytics, and Everything in Between
O’Reilly Media
November 01, 2019
A Guide to Selecting the Right Analytics for You

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Tags: AI, Analytics, Big Data

1 Founder
TinyTechGuides
TinyTechMedia
April 02, 2022
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.

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Tags: AI, Analytics, Big Data

3 Journal Publications
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.

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Tags: AI, Analytics

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.

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Tags: AI

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.

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Tags: Emerging Technology

5 Media Interviews
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.

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Tags: AI, Analytics, Big Data

Democratizing Data Science to Better Mitigate Risk
Raconteur
March 28, 2022
Businesses with agility react better to disruption, but a data skills gap is holding them back.

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Tags: AI, Analytics, Big Data

Data Science Job Market Trends
Datamation
January 27, 2022
5 Top Data Science Job Market And Career Trends

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Tags: AI, Analytics, Big Data

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.

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Tags: AI, Analytics, Big Data

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!

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Tags: AI, Analytics, Big Data

4 Patents
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.

Patent Number US20130332587A1

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Tags: Analytics

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.

Patent Number US7558999B2

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Tags: Legal and IP

Designing scan chains with specific parameter sensitivities to identify process defects
USPTO
September 20, 2007
A method is disclosed for designing scan chains in an integrated circuit chip with specific parameter sensitivities to identify fabrication process defects causing test fails and chip yield loss.

Patent Number US7194706B2

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Tags: Legal and IP

Defect diagnosis for semiconductor integrated circuits
USPTO
August 08, 2006
A method for defect diagnosis of semiconductor chip. The method comprises the steps of (a) identifying M design structures and N physical characteristics of the circuit design, wherein M and N are positive integers, wherein each design structure of the M design structures is testable as to pass or fail, and wherein each physical characteristic of the N physical characteristics is present in at least one design structure of the M design structures; (b) for each design structure of the M design structures of the circuit design, determining a fail rate and determining whether the fail rate is high or low; and (c) if every design structure of the M design structures in which a physical characteristic of the N physical characteristics is present has a high fail rate, then flagging the physical characteristic as being likely to contain at least a defect.

Patent Number US7089514B2

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Tags: Legal and IP

3 Quotes
2022 will be the year of the Chief Transformation Officer
Enterprise Channels MEA
February 18, 2022
No-code and low-code will simplify and democratise AI

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Tags: Analytics

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.

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Tags: AI

Artificial Intelligence: Should You Teach It To Your Employees?
Forbes
September 10, 2021
AI is becoming strategic for many companies across the world. The technology can be transformative for just about any part of a business.

But AI is not easy to implement. Even top-notch companies have challenges and failures.

So what can be done? Well, one strategy is to provide AI education to the workforce.

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Tags: AI

3 Speaking Engagements
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.

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Tags: AI, Analytics, Big Data

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.

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Tags: AI, Analytics, Big Data

The Human Side of AI
DATACated
October 06, 2021
DATACated Expo

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Tags: AI, Analytics, Big Data

2 Webinars
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.

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Tags: AI, Analytics, Big Data

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.

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Tags: AI, Analytics, Big Data

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