AI & Machine Learning
Generative AI Demystified: What It Really Means for Business
This webinar from MIT SMR covers the basics of generative AI and explores business use cases for the emerging technology.
This webinar from MIT SMR covers the basics of generative AI and explores business use cases for the emerging technology.
On the Me, Myself, and AI podcast, Chevron’s Ellen Nielsen explains how AI supports workers and operational efficiency.
Understanding large language models’ limitations can help users discern which tasks they are and are not well suited for.
HR teams must prepare for generative AI’s effects on workers’ job roles, training, and access to information.
With a modest amount of training, nontechnical employees can automate complex processes.
In a Q&A, Power and Progress authors Daron Acemoglu and Simon Johnson discuss the social impact of technological change.
On the Me, Myself, and AI podcast, learn how social scientists help facilitate human-machine collaboration at Intel.
Hype around generative AI tools like ChatGPT impede business leaders’ ability to make well-informed technology choices.
Do responsible AI programs effectively address the risks of generative artificial intelligence tools? Experts weigh in.
This Strategy Guide offers expert advice on creating a comprehensive and flexible cloud strategy.
Researchers discuss the potential benefits of using artificial intelligence to redefine KPIs and strategic measurement.
It may make sense to start AI efforts with isolated experiments, but new structures are needed to reap broader benefits.
Do responsible AI programs address the risks of third-party artificial intelligence tools? A panel of experts weighs in.
Research suggests leaders should focus on a use case for cutting-edge technologies first, then develop a business case.
This issue of MIT SMR focuses on talent management, innovation strategies, and emerging technologies.
Understanding how AI algorithms are trained and validated can help decision makers pick the right tools and avoid risk.
Managers keeping an eye on Web3 can learn from promising implementations of decentralized credentials.
Consumer fears of losing autonomy hinder smart-product adoption and use. But there are ways to boost customer control.
It’s impossible to abolish AI bias in the data behind artificial intelligence models, but companies can remediate it.
Large incumbent companies should begin adopting blockchain before it gets used against them.