1+ hour, 37+ min ago   (137+ words) AI is making data analysis faster and more accessible, but it can also amplify flawed reasoning by producing more answers to the wrong questions. Organizations can avoid that trap by building “decision discipline”: starting with the decision they need to…...

2+ week, 3+ day ago   (43+ words) Taming the Complexity of AI Data Readiness Video Series Harvard Business Review Taming the Complexity of AI Data Readiness Video Series The below video series is an extension of the HBR-AS research, Taming the Complexity of AI Data Readiness, sponsored…...

1+ mon, 1+ week ago   (72+ words) In this week’s The Insider newsletter, managing editor Gretchen Gavett writes on why decision-rights tools so often fail in practice and how leaders can fix it. She also unpacks a recent HBR piece by Columbia’s Rita McGrath on “strategic centering,…...

2+ mon, 3+ week ago   (496+ words) Research shows a wide gap between how executives perceive AI adoption and how employees actually experience it—most workers feel anxious and far less enthusiastic than their bosses assume. Without psychological safety, employees are less likely to experiment with new…...

7+ mon, 1+ week ago   (142+ words) Large language models are now central to the ideation phase, where possibilities are explored and assumptions are challenged. Their adoption for idea generation and brainstorming has surged, making these activities among the most common uses in organizations. But ideation is…...

3+ mon, 2+ week ago   (180+ words) While most leaders probably agree that their organizations will need to adapt to AI, too few are willing to admit that this will require them to abandon one of the most pervasive management principles of the past half-century: decision-making by…...

4+ mon, 1+ week ago   (249+ words) There are three common problems people face when working with AI: not understanding how AI made a decision (opacity), the human in the loop becoming over-reliant on AI and falling asleep at the wheel (complacency), and the AI making mistakes…...

6+ mon, 4+ day ago   (169+ words) Bias in AI isn’t just baked into the training data; it’s shaped by us and embedded in the broader ecosystem of human-AI interaction. This cognitive bias emerges from the dynamic interplay between human behavior and machine learning systems. The way…...

6+ mon, 3+ week ago   (110+ words) Business leaders can’t outsource mathematical thinking to AI without sacrificing judgment, because real-world business problems demand practical, approximate reasoning rather than pristine textbook solutions. Drawing on examples from tech, finance, and decision science, the article shows why leaders must learn…...

8+ mon, 1+ week ago   (113+ words) AI is full of promise, but many companies struggle to move from AI pilots to scale. Laying the right foundation for intelligent workflow orchestration requires connected, trusted, integrated data and... Powering AI-Driven Workflows on the Cloud Built to Scale AI…...