Global AI Trends In Business and Humanity – Show 12
Interview with Egle B. Thomas, PhD, MBA After a nice four week break, the AI Think Tank Podcast is back for its 12 show. I had the… Read More »Global AI Trends In Business and Humanity – Show 12
Interview with Egle B. Thomas, PhD, MBA After a nice four week break, the AI Think Tank Podcast is back for its 12 show. I had the… Read More »Global AI Trends In Business and Humanity – Show 12
The Harvard Business Review article “Has Generative AI Peaked?” raised a troubling concern concerning Generative AI (GenAI): “This brings us to an unsettling yet entirely… Read More »Avoid GenAI Model Collapse and Death by Averages
The current fascination with Generative AI (GenAI) – especially as manifested by OpenAI’s ChatGPT – has raised public awareness of Artificial Intelligence (AI) and its… Read More »Synergy of Generative, Analytical, Causal, and Autonomous AI
In my previous blog, “GenAI Maturity: From Productivity To Effectiveness,” I discussed the dramatic disparities between the organizational mindset of using Generative AI (GenAI) to… Read More »Nine Categories of Innovation-Driven Prompt Engineering
As I work with more organizations using Generative AI (GenAI) tools like OpenAI’s ChatGPT and Microsoft’s Copilot, I see an interesting dilemma – many organizations… Read More »GenAI Maturity: From Productivity To Effectiveness
It is unlikely that AI safety for superintelligence and artificial general intelligence could be achieved directly without a track from current risks. Already, there are… Read More »Computing: Where should AI safety for superintelligence and AGI start?
The Chief Data Officer (CDO) role has evolved significantly over the past five to seven years. It has transitioned from a CIO Mini-me, focused on… Read More »Talking to a CDO? Think Like an Economist
“It’s not the AI technologies that fail; it’s the organization.” That might be a somewhat controversial viewpoint, but it emphasizes an important truth: Artificial Intelligence… Read More »Critical Importance of Stakeholder-centric Design with AI
Training data is the cornerstone of AI algorithms – the quality of outputs is contingent on the data the AI model was trained on. The… Read More »From chaos to creation: How data labeling drives success in generative AI
The pharmaceutical industry is among the most regulated industries in the United States for the safety and efficacy of therapies. Yet, there are other approaches… Read More »Internet: Lessons for AI safety and alignment from pharmaceutical regulations