Data, AI, & Machine Learning

A human-AI workforce, today’s tech bubble, dealing with deregulation, a misplaced focus on metrics.

The true underperformers in this digital disruption era are not measures but their managers.

The most effective use of AI: Symbiotic systems enabling humans and AI to work to their strengths.

How companies are making AI pay; tread cautiously in a transparent world; CIOs step up their game.

Gain actionable insights from peers and AI experts during a live Twitter chat.

Our flawed approach to the AI race, corporate boards get less cozy, and not much love for Libra.

Why do workable analytics-based strategies always seem to fail when the playoffs start?

We’ve unlocked our site and curated reading lists to help you solve your key business problems.

Re-skilling done right, telling a good data story, and three big points on disrupting yourself.

To solve the issue of advanced analytics talent concentration, companies need to think creatively.

This case study follows Mondelez International’s project to implement RPA as part of its AI journey.

A classic bar, line, or pie chart is often the best choice for communicating information.

WeWork’s disastrous week, AI breaks down business silos, and the most important leadership skill.

Innovations from the front office are keeping fans engaged and disrupting the staid order in sports.

AI offers the potential to break down silos and make collaboration more effective.

Must-reads for managers: breaking down big tech, smart KPIs, and a new podcast for busy leaders.

Some want big tech companies broken up. Others call for stiffer industry oversight. Who’s right?

In the face of feeling powerless, doing small things can make a huge difference.

Digital transformation empowers smarter KPIs.

Counterpoints takes a closer look at whether football’s running game still matters.