The 12 Hidden Risks of ChatGPT and Generative AI
A Guide on What You Need to Know and What Countermeasures to Implement Introduction At the end of November 2023, OpenAI’s ChatGPT had its first birthday. Since it first launched, its capabilities have...
View ArticleWill AI Take My Job? Maybe.
What you can do to remain relevant Introduction I once had a business school professor who said, “Technological change is inevitable; these changes can chew up a generation of workers, but productivity...
View ArticlePreparing for the Future: A CIO’s Roadmap for Generative AI
Navigating the AI Labyrinth for Strategic Advantage Introduction In 2023, there were two schools of thought surrounding generative AI. The skeptics thought generative AI would become sentient and...
View ArticleFuture-Proof Your IT: The CIO’s Guide to Generative AI Vendor Selection
12 Essential Questions for Selecting the Right AI Provider Introduction Did you know that by 2028, approximately 70 percent of businesses will integrate generative AI into their core operations?[1] So,...
View ArticleThe Illusion of Control: Generative AI and the CIO’s Dilemma
Three AI Guardrail Strategies for Managing the Unpredictable in AI Introduction If you’re in the market for a new car, you may want to consider interacting with the dealer’s chatbot. One customer was...
View ArticleFor Generative AI, Metadata is All You Need
(not really, but it’s a good start). How Active Metadata Improves Generative AI’s Potential Introduction The other day, I was considering buying some new shoes, so I was perusing a few different online...
View ArticleAI Oversight: Crafting Governance Policies for a Competitive Advantage
From Cost Center to Value Creator This is part 1 of a 3-part series on AI governance. Introduction As companies begin to deploy both predictive and generative AI technologies, they need to understand...
View ArticleAI Oversight: Implementing Governance Policies for a Competitive Advantage
From Cost Center to Value Creator This is part 2 of a 3-part series on AI governance. Introduction In the first installment of my blog series on AI Governance, AI Oversight: Crafting Governance...
View ArticleAI Oversight: Strategic Imperatives for Successful AI Governance
From Cost Center to Value Creator This article is the final installment of a 3-part series on AI governance. Introduction In Part 1 of our AI Governance blog series, AI Oversight: Crafting Governance...
View ArticleEscaping Generative AI Mediocrity
Why Questioning is the Key to Success Introduction We’ve all seen the stats. McKinsey’s 2023 article proclaimed that productivity enhancements yielded by generative AI could add up to $2.6 to $4.4...
View ArticleThe Generative AI Hammer. Is Everything a Nail?
A Strategic Guide to Identifying the Right Use Cases Introduction As businesses plan to implement generative AI, the number of use cases can seem daunting. The possibilities are endless–from text...
View ArticleGenerative AI Deployment Strategies
A Strategic Guide for CIOs and CTOs Introduction As organizations continue to tinker with generative AI, they face with a critical question: how can they best deploy the technology to achieve scale and...
View ArticleIt’s the Data, Stupid
Beyond Models: Unlocking AI Through Data Maturity Introduction In 1992, James Carville, a strategist for Bill Clinton’s presidential campaign, coined the phrase “It’s the economy, stupid.” That was 32...
View ArticleData-Centric AI: A New Approach to Making Business Decisions
Introduction: The Shift from Model-Centric to Data-Centric AI What if the key to unlocking AI’s full potential isn’t hidden in more complex algorithms, but in the one commodity that’s often...
View ArticleGarden Party: Using LLMs for OCR and Data Analytics
Unlocking the Secrets of Garden Productivity In this article, I’ll share my experience using large language models (LLMs) to digitize handwritten garden yield data and perform analytics, exploring the...
View ArticleThe Rise of AI Agents: Harnessing Autonomous AI to Drive Business Results
Introduction As the sizzle of generative AI wanes, organizations realize that artificial intelligence (AI) is not the panacea they once thought. Although there is tremendous upside to adopting AI...
View ArticleAre You Data-Driven, Insight-Driven, or AI-Driven
As the world turns, data is created at a pace that is incomprehensible to most. In fact, in the 2030s, it’s estimated that we will be generating a Yottabyte (1024 bytes) of data per year. To put that...
View ArticleHow to Build a Compelling Business Case for Generative AI
Introduction The race to implement generative AI is no longer an option for enterprises—it’s an imperative. Companies delaying AI adoption risk losing ground. As businesses rush to integrate...
View ArticleWhy LLM Patterns Are the Key to Enterprise Success – And Why Ignoring Them is...
As the generative AI aura begins to fade, organizations realize that the technology is not the panacea they once thought. To move beyond tinker-toy prototypes to enterprise-grade AI systems is...
View ArticleAI Isn’t Enough: The 5 LLM Patterns That Separate Talk from Action
As organizations begin to get serious about generative AI, they realize that moving from experiments to enterprise-scale AI systems is no easy feat. Despite AI’s promise to automate, optimize, and...
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