Technology Investment

Research finds that the adoption of generative AI tools across industries has been slower than many people anticipated.

New research shows where marketers are seeing gains from AI and how to speed up payoffs.

A panel of artificial intelligence experts weighs in on whether organizations are adequately investing in responsible AI.

On the Me, Myself, and AI podcast, venture capitalist Hina Dixit shares her criteria for investing in AI startups.

The authors created a three-step framework aimed at helping leaders at incumbent companies identify and execute their deep-tech engagement strategies.

Research suggests leaders should focus on a use case for cutting-edge technologies first, then develop a business case.

Join us to learn about strategies for great customer experiences in a variety of industries.

Research points to three barriers to deep-tech corporate venturing success that chief innovation officers can overcome.

David Kiron and François Candelon discuss the latest MIT SMR-BCG AI and business strategy report at Web Summit 2021.

This free webinar offers expert advice on adopting AI today and preparing for tomorrow’s challenges.

In this webinar, experts from Kaiser Permanente, Accenture, and SAS discuss business readiness for AI.

To be a technology leader, a CTO needs both tech and business knowledge, explains Two Sigma’s Camille Fournier.

Organizations can benefit from taking a holistic approach toward digital transformation efforts.

Organizations that struggle to gain payback from data science efforts can recognize and overcome five common obstacles.

Rooting out AI bias, assessing new tech investments, and customers’ pandemic-affected preferences.

Leaders’ implicit biases toward new technology can cause them to make poor investment decisions.

The ease with which consumers have adapted to rapid change signals a future of more disruption.

CFOs need to lead AI technology decision-making — and they should start now.

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

The most challenging path for systems evolution is also the most rewarding.