Data, AI, & Machine Learning

Most companies that are using AI are deploying it for augmentation, not large-scale automation.

Offers detailed, real-world case studies of AI-augmented jobs in settings that range from finance to the factory floor.

The 2022 MIT SMR-BCG responsible AI report supports the prioritization of RAI as a business imperative.

Companies from Zoom to Slack lean on the product itself to find customers and convert them to paying.

Digital twins can deliver immense benefits across a wide range of supply chains with the right implementation strategy.

Successful AI adoption requires developers to think beyond business goals and address end users’ workflow concerns.

Streamlined metrics can get people moving in the same direction and improve business performance.

The internet giants control vast stores of data — and that may limit innovation at other companies.

When we rely on machines to make decisions, we substitute data-driven calculations for human judgment.

To address algorithms’ potential harm, companies must be willing to focus on users and rethink their business models.