Innovation Strategy
RAI Enables the Kind of Innovation That Matters
A panel of experts weighs in on whether responsible artificial intelligence hampers AI-driven innovation efforts.
A panel of experts weighs in on whether responsible artificial intelligence hampers AI-driven innovation efforts.
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.
MIT SMR’s summer 2022 issue addresses the challenges of C-suite turnover, end users’ AI anxiety, and employee motivation.
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Boeing’s Helen Lee discusses how the aviation giant is using technologies like AI to improve air traffic management.
A panel of experts weighs in on whether responsible AI should be connected to corporate social responsibility efforts.
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.
To gain agility, leaders must deconstruct jobs into tasks and deploy workers based on their skills.
Using differential privacy to safeguard personal information when sharing data still requires a high level of expertise.
A panel of AI experts weighs in on whether responsible AI should be at the top of leaders’ management agendas.
Warner Music Group’s Kobi Abayomi shares how AI helps customers discover new music, and his approach to hiring data scientists.
Data science project failure can often be attributed to poor problem definition, but early intervention can prevent it.
Health care organizations are seeing significant savings using AI in administrative systems.
Katia Walsh discusses how Levi Strauss is upskilling and motivating employees to help drive its digital transformation.
Managers’ intuition about how customers will feel about decisions made by algorithms rather than humans is often wrong.