Is Bing Full of Bugs or Is Constant Change And “Agility” the Wave of the Future?
February 29, 2016
The article titled 600 Engineers Make 4,000 Changes to Bing Each Week on WinBeta goes behind the scenes of a search engine. The title seems to suggest that Bing is a disaster with so many bugs that only a fleet of engineers working around the clock can manage the number of bugs in the system. That is actually far from the impression that the article makes. Instead, it stresses the constant innovation that Bing calls “Continuous Delivery” or “Agility.” The article states,
“How about the 600 engineers mentioned above pushing more than 4,000 individual changes a week into a testing phase containing over 20,000 tests. Each test can last from 10 minutes to several hours or days… Agility incorporates two “loops,” the Inner Loop that is where engineers write the code, prototype, and crowd-source features. Then, there’s an Outer Loop where the code goes live, gets tested by users, and then pushes out to the world.”
For more details on the sort of rapid and creative efforts made possible by so many engineers, check out the Bing Visual Blog Post created by a Microsoft team. The article also reminds us that Bing is not only a search engine, but also the life-force behind Microsoft’s Cortana, as well as being integrated into Misrosoft Office 2016, AOL and Siri.
Chelsea Kerwin, February 29, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Startup Semantic Machines Scores Funding
February 26, 2016
A semantic startup looks poised for success with experienced executives and a hefty investment, we learn from “Artificial Intelligence Startup Semantic Machines Raises $12.3 Million” at VentureBeat. Backed by investors from Bain Capital Ventures and General Catalyst Partners, the enterprise focuses on deep learning and improved speech recognition. The write-up reveals:
“Last year, Semantic Machines named Larry Gillick as its chief technology officer. Gillick was previously chief speech scientist for Siri at Apple. Now Semantic Machines is looking to go further than Siri and other personal digital assistants currently on the market. ‘Semantic Machines is developing technology that goes beyond understanding commands, to understanding conversations,’ the startup says on its website. ‘Our Conversational AI represents a powerful new paradigm, enabling computers to communicate, collaborate, understand our goals, and accomplish tasks.’ The startup is building tools that third-party developers will be able to use.”
Launched in 2014, Semantic Machines is based in Newton, Massachusetts, with offices in Berkeley and Boston. The startup is also seeking to hire a few researchers and engineers, in case anyone is interested.
Cynthia Murrell, February 26, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
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