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Microsoft showcases new tech synergies with cloud at its core

James Henderson | July 15, 2016
During a string of Azure, Office 365, Windows 10 and Surface announcements on the second day of 2016 Microsoft Worldwide Partner Conference in Toronto, the tech giant displayed a sense of coherence in front of its sell-out channel crowd.

Skype for Business

Delving deeper into the Office 365 solution set, by the end of 2016, customers will be getting a preview of automatic transcription and translation in Skype Meeting Broadcast.

Released in 2015, Skype Meeting Broadcast allows users to produce, host and broadcast meetings to large online audiences of up to 10,000 attendees.

As explained on stage, these new services will provide live closed captioning of presentations and allow viewers to choose translation into preferred language from a list of supported languages.

"The Skype services coming to market will be huge for Microsoft," Goldie said. "The demonstration was a relevant example of partners seeing something that is new and interesting, but then realising how this can be applied in the market.

"In the context of Skype for Business meetings, as an organisation Microsoft is a perfect example of how this can be utilised.

"We've been using Skype Meeting Broadcast internally for sometime and now having inbuilt translation for a company such as ours, with offices across the world, provides context."

Cloud

During the keynote, Microsoft reported 120,000 new Microsoft Azure subscriptions a month, coupled with the launch of Windows Server 2016 and System Centre 2016 later this year. 

Microsoft Executive Vice President, Cloud and Enterprise, Scott Guthrie also announced the general availability of Azure SQL Data Warehouse, designed to deliver cloud elasticity to data warehousing, saving time and money compared with competitive solutions.

"To give an idea of the benefits, a data warehouse can be provisioned in 3‒5 minutes and scale in seconds to meet demand while the SQL-based view can unlock intelligence for all your data, across structured, unstructured, on-premises and cloud, using tools you already have like Power BI and Microsoft Excel," he explained.

"It also has auditing and threat detection built in, which use machine learning to understand workload patterns and serve as an advanced alarm system against potential breaches."

 

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