Artificial Intelligence

Data-wrapping techniques, building diverse AI teams, and communicating with empathy and authority.

Computer scientists typically lead AI development, but teams with diverse expertise can build better systems.

This infographic highlights research findings on technology governance issues key to implementing trusted AI.

How to boost innovation capacity and institutional pride, and addressing tech inequity and the ethics of automation.

The increasing adoption of AI and robots has implications for jobs, biases, and data privacy.

Assessments about China’s strengths in AI may be overblown.

New AI applications have immense potential to revolutionize communication and deepen human relationships.

Swarm systems draw input from individuals and use algorithms to optimize system performance in real time.

A webinar describes how to develop AI customer service chatbots that meet customer expectations.

Black swans, COVID-19’s supply chain impact, a global upskilling push, and human-machine teams.

Many organizations don’t understand the value of teaming machine capabilities with human abilities.

Many businesses overlook a solution to the machine learning talent shortage: upskilling employees.

A webinar explains how AI can improve communication and coordination across business units

This infographic highlights research findings on the management changes needed for successful AI implementations.

On Tuesday, March 10, we’ll talk about artificial intelligence and business.

Business leaders must rethink data management to succeed with machine learning.

Today’s direct-to-consumer disrupters, the reality of running an AI business, and managing digital natives.

Looking back on disruptive innovation theory and preparing for smarter crowdsourcing.

Pipeline’s Katica Roy explains how AI can help change the narrative around workplace gender bias.

The future workforce and navigating corporate strategy and growth in a world in climate crisis.