What leaders still get wrong about AI
Organizations are struggling to succeed with AI. Research from the MIT Center for Information Systems Research shows common mistakes and how to overcome them.
Organizations are struggling to succeed with AI. Research from the MIT Center for Information Systems Research shows common mistakes and how to overcome them.
A new study from MIT Sloan Management review finds many employees use AI without realizing it — and without realizing how it benefits them.
From risk management policies to the five stages of AI ethics, here’s how some organizations approach ethical AI.
Organizations see success by starting with smaller AI transformations. Aiming for incremental value builds a foundation for sustainable results.
Fall 2021 update of the HSI Research on Analytics-based opioid overdose prediction
A new approach analyzed resumes for a Fortune 500 firm — and bested traditional screening practices.
While generative AI is widely accessible and useful, businesses need to know when to use other AI tools, like traditional machine learning.
Machine learning tools only work if people use and trust them. To achieve this, developers and end users should have a back-and-forth conversation.
COVID-19 hasn’t slowed proptech in its quest to remake real estate through big data, artificial intelligence, platforms, and virtual reality.
Fintech — technology for financial services — encompasses lending, payments, investing, insurance, property management, risk assessment, and more.