AI & Machine Learning
How to Succeed With Predictive AI
To succeed with machine learning, manage projects as business initiatives, not technology projects.
To succeed with machine learning, manage projects as business initiatives, not technology projects.
Two automation initiatives succeeded by scoring potential processes and combining technical and process knowledge.
Age-related cognitive changes can hinder workers’ technology use, but these strategies can help managers support them.
Taking a three-stage approach can increase the likelihood of a successful digital transformation in manufacturing companies.
Three new surveys of data executives have identified five trends they’ll be paying attention to in 2024.
This webinar from MIT SMR offers guidance to help business leaders thoughtfully plan a generative AI implementation.
This webinar from MIT SMR explores key areas in which generative AI could transform existing ways of doing business.
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.
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.
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.
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.