Hentsu Tech News Round-up #10

Another week showcases more exciting stories related to multiple advantages of cloud technology. Dive into the latest Hentsu weekly tech news round-up to keep your finger on the dynamic pulse of the cloud. Enjoy!

Cloud Gaming for a Seamless Streaming Future

We have already talked about how cloud gaming is in the crosshairs for industry giants such as Google, Microsoft. The benefits of cloud technology are essential for next-gen gaming, as much as it is for movie streaming services such as Netflix. With video games though, streaming via cloud tech brings a variety of features to the table.

Google has proved its efforts on the cloud gaming front with the Google Stadia, which was developed around the concept of virtual machines. Any complex compute processes are handled by the power of cloud to start game engines – and what is amazing is that this denotes components such as the graphics, AI, physics, and audio, as well as distributing machine resources to gamers who are playing in their homes.

New subscription-based streaming platforms are also here such as Microsoft’s xCloud. These services give gamers the opportunity to dig into large libraries of games, without every worrying about expensive consoles or PC hardware.

News via AM.

Google Signs up Verizon for its AI-powered Contact Center Services

Google recently confirmed that they now have Verizon onboard as a new major customer of their Google Cloud Contact Center AI service. This service is focused on incorporating natural language recognition to phone menus used by most of the companies today.

This is yet another solid example of how machine learning (or AI) amalgamates perfectly with cloud technology.

“A big part of our approach is that machine learning has enormous power but it’s hard for people,” Google Cloud CEO Thomas Kurian told me in an interview ahead of today’s announcement. “Instead of telling people, ‘well, here’s our natural language processing tools, here is speech recognition, here is text-to-speech and speech-to-text — and why don’t you just write a big neural network of your own to process all that?’ Very few companies can do that well. We thought that we can take the collection of these things and bring that as a solution to people to solve a business problem. And it’s much easier for them when we do that and […] that it’s a big part of our strategy to take our expertise in machine intelligence and artificial intelligence and build domain-specific solutions for a number of customers.”

Discover more at TechCrunch.

Azure Synapse Analytics: A Progress Report

Back in November, Microsoft first unveiled Azure Synapse Analytics, its powerful analytics that combines enterprise data warehousing and big data analytics. Recently, several features of Azure Synapse were released and are in public preview. It is time to examine how it works in practice and the first results are in.

More importantly, Synapse is already being hailed as a service that efficiently aggregates, integrates, and facilitates a wide range of other existing Azure data services.

Already, the word in the cloud community is that “Synapse is the ‘better together’ agent for data and analytics on the Azure cloud.”

Read the full progress report over at ZDNet.com.