10 big data blunders to avoid
Companies make common data science mistakes. Here’s an expert’s guide to what they are and how to avoid them.
Companies make common data science mistakes. Here’s an expert’s guide to what they are and how to avoid them.
At food service company Sysco, generative artificial intelligence is another tool that optimizes sales, processes, and supply chains.
We are in the fourth wave of artificial intelligence. In his new book, Alex Pentland says understanding AI from the 1960s, 1980s, and 2000s can help us develop technology that supports shared wisdom.
Leaders from Google, ING, and Capital One advise avoiding the “gold rush mentality” around artificial intelligence and following these six steps instead.
Businesses want to achieve growth, equip front-line workers with solutions, and process unwieldy data.
Emerging insights suggest road maps, policy recommendations, and calls for action regarding generative artificial intelligence.
Theresa Seley Associate Professor in Management Science, Associate Professor, Operations Management
From MIT Sloan experts, practical guidance for launching ventures, shaping strategy, and making innovation work.
The year’s most popular terms find us reassessing merit, rejiggering professional and geopolitical networks, and reevaluating how and when we bring AI into the office.
Generative AI has the potential to provide smart, tailored financial guidance, early research from MIT Sloan economist Andrew Lo suggests.