News & features
Privacy Preserving Machine Learning: Maintaining confidentiality and preserving trust
| Victor Ruehle, Robert Sim, Sergey Yekhanin, Nishanth Chandran, Melissa Chase, Daniel Jones, Kim Laine, Boris Köpf, Jaime Teevan, Jim Kleewein, and Saravan Rajmohan
Machine learning (ML) offers tremendous opportunities to increase productivity. However, ML systems are only as good as the quality of the data that informs the training of ML models. And training ML models requires a significant amount of data, more…
Meeting Insights: Contextual assistance for everyone
| Abhishek Arun, Ramakrishna Bairi, Paul Bennett, Kevin Moynihan, and Adam D. Troy
It’s a big day for you. Back-to-back meetings are scheduled with critical customers and partners, and a parent-teacher conference is sandwiched in there as well. As you’re headed toward the last meeting, suddenly you cannot remember the key talking points.…
Email overload: Using machine learning to manage messages, commitments
As email continues to be not only an important means of communication but also an official record of information and a tool for managing tasks, schedules, and collaborations, making sense of everything moving in and out of our inboxes will…
The story of an Office AI feature: How AI can promote efficient meeting preparation
Adam Troy had an idea. He was spending so much time searching through old emails and attachments to prepare for meetings: Could AI help him be better prepared for meetings? Could machine learning automatically identify the most relevant emails and…