Businesses are intensively exploring generative AI (GenAI) in their search for game-changing use cases. In this context, LLM-based AI engineering is outgrowing simple prompt engineering, leading to the rise of what has been dubbed PromptOps.
PromptOps is a systematic methodology for optimizing the way large language models (LLMs) are prompted. This approach to managing AI prompts at scale…
Generative AI is evolving at a rapid pace – from automating document extracts to reviews to powering customer interactions. But with speed comes greater risks, including privacy leakage, intellectual property leakage, bias in outputs, regulatory frameworks, and unclear accountability. Unlike traditional IT systems, generative AI adoption is often bottom-up with employees’ vibe coding with models, making it hard to control technically while foundation models evolve unpredictably…
The global market for artificial intelligence is evolving under two very different legal paradigms. On one side, the European Union has enacted the AI Act, the first comprehensive and enforceable regulatory regime for AI, applicable across all member states and with far-reaching extraterritorial scope. On the other, the United States continues to advance AI oversight primarily at the state level, resulting in a patchwork of rules that vary in focus, definitions, and enforcement…
Last October, I wrote a column about the use of generative AI in producing a professional service. I pondered the question of whether or not others’ knowledge about the use of AI in producing a professional service – such as legal work, consulting, or creative work – would devalue the service. My hypothesis was that […]
The ink is barely dry on generative AI and AI agents, and now we have a new next big thing: agentic AI. Sounds impressive. By the time this article comes out, there’s a good chance that agentic AI will be in the rear-view mirror and we’ll all be chasing after the next new big thing. […]
We stand at a pivotal moment. Generative AI, with its large language models (LLMs) and retrieval-augmented generation (RAG) systems, promises to revolutionize how industries operate. We’ve all seen the impressive demos that can summarize articles, write code, or draft marketing copy. But when the stakes are high and an error could lead to a financial […]
This month, we’re reviewing “Rewiring Your Mind for AI” by David Wood. In this book, Dr. Wood shows us how to think differently to leverage the benefits of artificial intelligence (AI). The book first sets us up to think in terms of growth mindsets instead of limiting mindsets – starting with some anecdotes about how calculators and […]
Generative AI (GenAI) continues to provide significant business value across many use cases and industries. But despite the many successful customer experiences, GenAI is also proving to be challenging for some businesses to get right and deploy across their organizations in full production. As a result, plenty of projects are getting stuck in planning, experimentation, […]
Enterprise AI agents are moving from proof-of-concept to production at unprecedented speed. From customer service chatbots to financial analysis tools, organizations across various industries are deploying agents to handle critical business functions. Yet a troubling pattern is emerging; agents that perform brilliantly in controlled demos are struggling when deployed against real enterprise data environments. The problem […]
Not long ago, manipulating large datasets, training machine learning models, or visualizing results required advanced programming skills and specialized statistical knowledge. Today, intuitive AI tools and natural language interfaces are allowing nearly everyone – not just data scientists, engineers, and technical experts – to analyze and act on data. In fact, nearly 8 in 10 organizations now […]