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David Sweenor
Founder at TinyTechGuides
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 Sweenor
Points
Academic
15
Author
816
Influencer
54
Speaker
15
Entrepreneur
110
Total
1010
Points based upon Thinkers360 patent-pending algorithm.
The AI-Powered CFO: Why Finance Must Shift from Control to Cognition
LinkedIn
April 20, 2025
According to PwC's 2024 Finance Effectiveness Benchmarking Study, for the first time in 15 years of tracking data, finance departments now spend over 30% of their time on business insight rather than transaction processing. This change highlights how finance functions are evolving beyond traditional controllers and consolidators to become strategic drivers of business growth and competitive advantage.
AI Agents Are Here—But Are They Ready for Prime Time?
LinkedIn
April 13, 2025
The journey from daemons to robotic process automation (RPA) to chatbots has been a steady march toward smarter, more autonomous systems. Today, we stand at the next frontier: AI agents. These systems don’t just follow rules or respond to queries—they understand context, reason through problems, and take action autonomously. In this episode of the Data Faces Podcast, we explore this evolution with Sanjeev Mohan, a leading expert in data and AI.
There Is No Post-AI World: Preparing Your Organization for the Agent Revolution
Import from medium.com
March 26, 2025
John Thompson on the strategic value of AI agents, the unexpected risks of autonomous systems, and why intelligent governance matters more…Continue reading on Medium »
The AI-Powered CFO: Why Finance Must Shift from Control to Cognition
Import from medium.com
March 19, 2025
Traditional finance cycles are fading. Jawwad Rasheed explains why AI, automation, and self-service analytics are transforming the role of…Continue reading on Medium »
AI Agents — State of the Union with Sanjeev Mohan
Medium
March 04, 2025
The journey from daemons to robotic process automation (RPA) to chatbots has been a steady march toward smarter, more autonomous systems. Today, we stand at the next frontier: AI agents. These systems don’t just follow rules or respond to queries — they understand context, reason through problems, and take action autonomously. In this episode of the Data Faces Podcast, we explore this evolution with Sanjeev Mohan, a leading expert in data and AI.
Marketing Mad Libs: Prompt Variables for Smarter Content Automation
Medium
February 26, 2025
As B2B product marketers, we know that personalized content is king or queen. But, creating customized content for every audience, product, and campaign can get a bit onerous. That’s where prompt engineering comes in. As I mentioned in my previous blog, B2B Prompt Engineering for PMMs: A Guide to Getting the Most Out of Your AI, prompt engineering is the art and science discipline of crafting explicit instructions to direct generative AI models to create the desired output.
Beyond the AI Hype: What 20% of Companies Get Right
Medium
February 20, 2025
Shawn Rogers leads BARC US with over twenty years of analyzing data and analytics trends. His team of 24 analysts studies what works — and what doesn’t — in enterprise technology adoption. Rogers advises Fortune 500 companies and speaks regularly at major industry events.
ChatGPT Memory On vs. Off: The B2B Product Marketer’s Guide to Data Privacy
Medium
February 19, 2025
As a B2B Product Marketing Manager, you certainly understand the importance of keeping product roadmaps and competitive intelligence confidential. But, when using tools like ChatGPT, ensuring data privacy has become more complex. This blog post will discuss how ChatGPT’s memory settings can impact your work and how you can control them to protect sensitive information. We’ll also explore the process of opting out of training to further ensure data privacy.
Stop Blending In: Creating Content That Actually Matters
Medium
February 12, 2025
Last month, a business leader asked me why every vendor’s AI content sounds identical. She’s right. Most product marketers have defaulted to letting ChatGPT write their content. The result? A sea of bland posts about “leveraging AI capabilities,” “driving digital transformation,” and “delving into topics.”
The Gorilla in the Quadrant: Why Your Data and AI Governance Strategy Needs More Than Gartner’s…
Import from medium.com
February 07, 2025
It’s no surprise that AI and ML are transforming how we collect and use data. But what may be surprising is the lack of attention given to…Continue reading on Medium »
10x Your Productivity: The AI Tools Every B2B Product Marketer Needs
Import from medium.com
February 05, 2025
Tired of waiting for your company to finally choose a generative AI tool? Let’s be honest, sometimes glaciers are melting faster than the…Continue reading on Medium »
Episode 3 of Data Faces: Insights on AI in 2025 with Kjell Carlsson
Import from medium.com
January 14, 2025
Kjell Carlsson on why most Gen AI projects fall short, the evolution of AI engineering, practical governance strategies, agentic AI myths…Continue reading on Medium »
33 Must-Read Articles for Business Leaders in 2024: AI, Ethics, and Innovation
Import from medium.com
December 30, 2024
Last year, I vowed to write a blog a week on Medium. I didn’t quite accomplish that, but I did manage to write 33 different articles on AI…Continue reading on Medium »
Who Watches the Watchman? Managing Cats, Eggplants, and AI Risks
Import from medium.com
December 14, 2024
A couple of months back, my good friend Nick tried using generative AI to brainstorm names for his family’s new kittens. Rather than…Continue reading on Towards AI »
Mind Your AI Manners: The Bottom-Line Impact of Cultural Intelligence
Import from medium.com
December 09, 2024
Remember when HAL 9000 ominously said, “I’m sorry Dave, I’m afraid I can’t do that”? While our current incarnation of AI won’t lock us out…Continue reading on Medium »
Spotting AI junk words: Why AI still can’t write like humans
Import from medium.com
November 18, 2024
In an age where AI seems to be doing it all, from writing never-ending sales cadence emails, generating mediocre marketing blogs, or…Continue reading on Medium »
Generative AI: Turning Hype into Real Business Value — Insights from My Conversation with Yves…
Import from medium.com
November 11, 2024
Generative AI is often surrounded by excitement and speculation, but how can businesses turn this technology into genuine value? In the…Continue reading on Medium »
AI Governance: Your Business’s Competitive Edge or Its Biggest Risk?
Import from medium.com
November 04, 2024
As artificial intelligence (AI) becomes ubiquitous, it’s reshaping decision-making in ways that go far beyond the scope of traditional…Continue reading on Towards AI »
The PMM's Prompt Playbook: Mastering Generative AI for B2B Marketing Success
TinyTechMedia LLC
February 18, 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.
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.
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 AI-Powered CFO: Why Finance Must Shift from Control to Cognition
AI Agents Are Here—But Are They Ready for Prime Time?
Your LLM’s So Smart It’s Missing the Pepperoni
There Is No Post-AI World: Preparing Your Organization for the Agent Revolution
The AI-Powered CFO: Why Finance Must Shift from Control to Cognition
AI Agents — State of the Union with Sanjeev Mohan
AI Agents — State of the Union with Sanjeev Mohan
Deep Fake Dave & The Future of AI Personas
Marketing Mad Libs: Prompt Variables for Smarter Content Automation
Beyond the AI Hype: What 20% of Companies Get Right
ChatGPT Memory On vs. Off: The B2B Product Marketer’s Guide to Data Privacy
Stop Blending In: Creating Content That Actually Matters
The Gorilla in the Quadrant: Why Your Data and AI Governance Strategy Needs More Than Gartner’s…
10x Your Productivity: The AI Tools Every B2B Product Marketer Needs
B2B Prompt Engineering for PMMs: A Guide to Getting the Most Out of Your AI
Intro to Prompt Engineering for PMMs: How to Do More With Less (and Win)
Episode 3 of Data Faces: Insights on AI in 2025 with Kjell Carlsson
33 Must-Read Articles for Business Leaders in 2024: AI, Ethics, and Innovation
Who Watches the Watchman? Managing Cats, Eggplants, and AI Risks
Mind Your AI Manners: The Bottom-Line Impact of Cultural Intelligence
The Faces Behind Data — AI, Ethics, and Leadership with Monica Cisneros
The Yes-Man in the Machine: Avoiding the AI Sycophancy Echo Chamber
Spotting AI junk words: Why AI still can’t write like humans
Generative AI: Turning Hype into Real Business Value — Insights from My Conversation with Yves…
AI Governance: Your Business’s Competitive Edge or Its Biggest Risk?
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
Democratizing Data Science to Better Mitigate Risk
