HeyJaredKristin Burnham
- Indexed articles, last 90 days
- 3
- Latest publication
- Aug 10, 2026
- Outlet visibility, for MIT Sloan
- Top 500K sites
- Earliest in this view
- Jul 20, 2026
Latest articles
Why a semantic layer is pivotal to your AI strategy | MIT Sloan (opens the original)
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As companies deploy generative AI tools and agents, many are discovering that giving an artificial intelligence system access to enterprise data is not equivalent to giving it the context needed to understand that data. When organizations pull information from applications, documents, data platforms, and outside sources, they often strip away the business context that gives it meaning. Different systems may label the same customers, products, or transactions in different ways and apply different
How organizations can capture value from digital colleagues | MIT Sloan (opens the original)
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For many organizations that adopt generative AI, the first phase centers on individual productivity: faster drafts, quicker summaries, better search, and employees experimenting with AI assistants. A new research briefing from the MIT Center for Information Systems Research argues that as artificial intelligence systems become more capable, companies will need to think beyond individual tools and begin managing AI as a “digital colleague” — part of how teams, workflows, and business processes op
These are the most urgent AI risks, according to 272 experts | MIT Sloan (opens the original)
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Artificial intelligence presents business leaders with a difficult management problem: The risks are numerous and fast-moving and fall unevenly across organizations, sectors, and stakeholders. Some challenges are well known, like the potential for discrimination and the spread of misinformation, while others are emergent, like AI systems that could accelerate cyberattacks, make weapons development easier, or behave in ways that were never intended. A new study from MIT FutureTech and the Univers
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