AI & Machine Learning

Building responsible AI systems starts with recognizing that technology solutions implicitly prioritize efficiency.

In this webinar, we outline key findings from recent artificial intelligence and business strategy research, including that mandating individual use actually improves employee engagement across multiple dimensions.

New data-efficient AI techniques can help when developers lack sufficient volumes of labeled training data.

A panel of experts weighs in on whether responsible AI governance extends beyond technology leadership.

Embedding data, analytics, and artificial intelligence into products has been a game changer for businesses.

Wayfair’s CTO describes how the e-commerce retailer uses AI and machine learning to support customers and manage risk.

The 2022 MIT SMR-BCG AI and Business Strategy report finds organizations get more value from AI when workers benefit too.

Data science leader Khatereh Khodavirdi discusses how PayPal uses AI and machine learning for customer personalization.

To succeed with AI, design applications and workflows that tap the best of what people and machines have to offer.

Orangetheory Fitness members get the most out of their group workouts with some help from both AI and human coaches.

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

A panel of experts weighs in on whether mature responsible artificial intelligence programs mitigate system failures.

ADP’s Jack Berkowitz explains the benefits of having data strategy, data products, and AI oversight within the CDO role.

The data streams generated by customers using smart, connected products can lead to new products and services.

The 2022 MIT SMR-BCG responsible AI report finds that leaders view RAI as important but few prioritize it in practice.

Novo Nordisk’s Tonia Sideri explains how the pharma company uses AI to test new ideas before initiating tech projects.

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

The data streams generated by customers using smart, connected products can lead to new products and services.

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

Land O’Lakes’ CTO explains how data and artificial intelligence help the organization support agricultural production.