Microsoft 365, the company's enterprise bundle offering of Office 365, Windows 10, and enterprise mobility and security, was also a focus of Build, as noted in a press release, and Microsoft is looking to developers to bolster it. The Windows Machine Learning platform will help developers develop machine learning models in the Intelligent Cloud and deploy them offline and in high performance to the PC platform, Microsoft said.
On Android, you'll find Timeline integrated with the Microsoft Launcher, and on iOS, it will be built into the Edge app, and. Project Kinect for Azure is a package of sensors (including a next-generation depth camera) with on-board compute capabilities. And the AI platform can be used across a number of devices including IoT edge devices, HoloLens, desktop PCs, workstations, servers and data centers.
Microsoft Edge is a redesigned version of Internet Explorer.
New Azure Cognitive Services updates include a unified Speech service with improved speech recognition and text-to-speech, which support customized voice models and translation.
Nadella, who was speaking Monday in front of 6,000 attendees at the company's annual Build developer event in downtown Seattle, said that as part of this new approach, the tech industry needs to treat issues like privacy as a "human right".
Microsoft is aiming to open up new opportunities for developers in the Microsoft 365 platform, with a handful of announcements at Build 2018.
Azure, Microsoft's cloud computing service has always been tangentially related to the company's burgeoning AI ambitions, but that all changes today.
Microsoft at its Build 2018 developer conference announced new features that makes the entire Windows experience more mobile-friendly. "As developers, your UWP will work with Sets from the start, helping to keep your customers engaged", said Microsoft in a statement.
Available today, the new Microsoft Azure Blockchain Workbench makes it easier to develop blockchain applications by stitching together an Azure-supported blockchain network with cloud services like Azure Active Directory, Key Vault and SQL Database, reducing proof-of-concept development time dramatically.