Google rules the search market, but Bing has made real inroads in gaining a bigger share of the market. Comscore reports that Bing has slightly more than 20 percent of the U.S. search market on its own between March 15 and April 15.
However, since Yahoo’s search engine is Bing powered, it might be fair to say Bing’s share is closer to 33 percent of the market, as Yahoo had 12.7 percent of the market. Read More
Microsoft’s Windows Store has been decried as being a “lawless” frontier where users couldn’t find apps that had value for customers. Few businesses wanted to even develop an app for Windows 8 or 8.1. The Windows Store became a joke itself.
But with the advent of Windows 10, the head of the Store and Apps announced that Microsoft would enforce a more robust approach to its policies to clean things up. Read More
Microsoft introduced its HoloLens at Build 2015 to much excitement and fanfare, but it’s still far too early to tell when the augmented reality hardware and the Windows Holographic platform needed to run it will be a reality.
Developers professed great interest in working with the augmented reality platform to create their own applications. But they want to get their hands on a development kit now. The Microsoft HoloLens website reveals no timetable on its release. All it says is, “We’re working hard to release development tools. In the meantime, you can start by building Windows universal apps and ramping up on Unity.” Read More
More than 40 percent of the revenue Microsoft collects through Azure comes from start-ups and ISVs, according to Scott Guthrie, executive vice president of the Microsoft Cloud and Enterprise group. Read More
The dotnetConf, a free, two-day virtual event co-organized by the .NET community and Microsoft, begins Wednesday. The online conference helps developers create desktop, mobile, web, and cloud-based applications using the .NET Framework.
The third annual event picks up from last June’s two-day event. Day 1 features 10 talks with the latest on updates to .NET with the developers and program managers who are building the framework. Thursday features a whole day dedicated to .NET-related projects created by the community, partners and other Microsoft groups. Read More
Microsoft, in an intriguing move geared to Atlanta’s tech and start-up communities, will open an “innovation center” in downtown’s Flatiron building, Atlanta Business Chronicle reported this week.
Microsoft centers “provide resources and support for students, entrepreneurs and startups, accelerating the creation of new companies, jobs and growth of the local software ecosystem,” the article stated. Read More
The headline on a recent article by ZDNet’s Ed Bott asks: Did the browser wars finally end in 2014?
The phrase “browser wars” even has its own page on Wikpedia, defined as “competition for dominance in the usage share of web browsers.” Read More
Almost everyone in the business world has had the same experience. Create an Excel document, define the header columns and start typing in data. Microsoft’s Excel spreadsheet application long has been the backbone of business, with early versions going back to the mid-‘80s. And it’s not going away anytime soon.
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IBM and Microsoft recently announced they will be partnering to create a Microsoft .NET runtime for IBM’s Bluemix cloud platform. As part of the agreement, IBM will make its WebSphere Liberty application server, MQ messaging middleware and DB2 database software available on Microsoft Azure. IBM will also be sharing its PureApplication Service on SoftLayer on Azure in the near future. In turn, Windows Server and SQL Server will become available on IBM’s cloud platform.
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Many of the goals behind big data involve using data to find trends and predict behavior. The process of creating complex algorithms that to do this is known as Machine Learning. In the past, large enterprises have leveraged machine learning to their advantage, employing data scientists to create models that predict things like hospital readmission likelihoods.
Building a machine learning system used to require a great amount of effort. Highly technical statisticians, programmers and data scientists were needed to do things like collect and massage data into a form which could be used by the model. The software that was used to develop these tools required a considerable amount of expertise and could be very expensive. Read More
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