AI & Machine Learning
What Machines Can’t Do (Yet) in Real Work Settings
Most companies that are using AI are deploying it for augmentation, not large-scale automation.
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.
L’Oréal’s Stéphane Lannuzel discusses artificial intelligence’s role in technology innovation in the beauty industry.
Disciplined experimentation is bringing the use of artificial intelligence into clinical health care at Mayo Clinic.
Sanofi’s Frank Nestle explains how the pharma company is using AI to improve drug discovery and development.
Plenty of organizations dabble with AI, but Mastercard’s capabilities — and confidence — set it apart.
Sowmya Gottipati shares how Estée Lauder uses AI to learn about customers and make better product recommendations.
Boeing’s Helen Lee discusses how the aviation giant is using technologies like AI to improve air traffic management.
EBay’s chief artificial intelligence officer shares how the e-commerce platform uses AI to help both buyers and sellers.
Successful AI adoption requires developers to think beyond business goals and address end users’ workflow concerns.
LinkedIn’s Ya Xu discusses leading the high-traffic site’s team of data scientists and delivering value to consumers.
A panel of AI experts weighs in on whether responsible AI should be at the top of leaders’ management agendas.