Skip to content

Blog Posts: AI

Too many AI projects are founded on the belief that it will be the solution to all your productivity and operating challenges. Here’s how to avoid this mistake.
Trade-offs in AI evolution demand thoughtful choices. The article describes how we must strike a balance between productivity vs. distribution, innovation vs. competition, and privacy vs. performance.

AI in the Future Workplace Artificial algorithms and platforms are great equalizers. They work for large and small enterprises alike; they work for both novice and experienced analysts the same.…

How to successfully manage uncertainty and deliver innovation What do space and ML programs have in common? Quite a lot! To name a few, high uncertainty, research-oriented nature, improvisation, and…

Starting approximately 2018 with ELMO, a new class of machine learning models called large language models (LLMs) has been developing at an extremely rapid pace. These models may differ slightly…

Europe’s GDPR. California’s CCPA. The AI Act. The Blueprint for an AI Bill of Rights. New York’s City Local Law 144. The Algorithmic Accountability Act. The American Data Protection and…

It’s still early days for artificial intelligence (AI) in the enterprise, and if you have some responsibility for analytics and/or AI within your company, you may be wondering just how…
First you might be thinking, why the heck is the International Institute for Analytics writing about Design Week? It doesn’t sound like it’s related to analytics, AI, machine learning, or…
When I talk with analytical professionals about artificial intelligence, many are reluctant to claim expertise in the area or bill themselves as AI practitioners. “I don’t want to appear to…