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Leading with AI
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The Latest
A strategic playbook for entrepreneurs: 4 paths to success
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This Entrepreneurial Strategy Compass from MIT Sloan helps startups avoid conflicting advice and choose the right path to commercialization.
Bringing transparency to the data used to train AI
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Using the wrong datasets to train AI models can result in legal risks, bias, or lower-quality models. The Data Provenance Initiative’s tool can help.
4 ways that AI and tech are reshaping finance
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Generative AI and financial data are opening up the digital economy to more consumers and small businesses, but crypto concerns remain.
What’s your company’s ‘AI maturity’ level?
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Are you experimenting with artificial intelligence, or are you “AI future-ready”? A new model maps four stages of enterprise AI maturity.
How to use generative AI to augment your workforce
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Artificial intelligence can be useful in the workplace, but humans have to first define what success looks like, according to MIT Sloan’s Danielle Li.
To withstand credit market shocks, diversify your company’s bonds
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Having access to a wider variety of institutional investors allows companies to better maintain access to capital, research shows.
What business needs to know about carbon border adjustments
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Climate economist Catherine Wolfram explains how the EU’s Carbon Border Adjustment Mechanism aims to level the playing field among trading partners.
Thinkers50 names 6 MIT alumni as talent to watch
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Researchers studying AI, leadership, and gender equality were named to the Thinkers50 Radar list.
The relationship between machine learning and climate change
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Machine learning can drive climate action initiatives, but its widespread use could have negative implications, according to Climate Change AI’s Priya Donti.
Finance taps generative AI to streamline accounting, hiring tasks
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In finance, AI can improve efficiency and help executives make strategic decisions, but proper governance is a must.