Microsoft is embedding Anaconda's Python distribution into its Azure Machine Learning products, the latest move by the software vendor to expand its capabilities in the fast-growing artificial intelligence space and an example of Anaconda extending its reach beyond high performance computing and into AI. The two companies announced the partnership this week at the Strata Data Conference in New York City, with the news dovetailing with other announcements around AI that Microsoft officials made this week at its own Ignite 2017 show. The vendors said they will offer Anaconda for Microsoft, which they described as a subset of the Anaconda Python distribution that is now available on Windows as well as MacOS and Linux. There will be a range of options within the Anaconda for Microsoft offering, they said. Initially, Anaconda for Microsoft will be included in Microsoft's Azure Machine Learning, Machine Learning Server, Visual Studio, and SQL Server, but there also will be additional advantages to developers.
Microsoft is adding to its AI development tool stable with new Azure Machine Learning tools. Microsoft is taking the wraps off what it's calling its "next generation of Azure Machine Learning" at its Ignite IT Pro conference in Orlando on September 25. Among these tools are the Azure Machine Learning workbench, which officials describe as a cross-platform client for data wrangling and experiment management; an Azure Machine Learning Experimentation service and Azure Machine Learning Model Management service. The Azure Machine Learning Workbench will complement the current Microsoft Azure Machine Learning Studio tool, officials said. The Workbench supports modeling in Python, PySpark and Scala and integrates with Visual Studio Code and PyCharm.
Artificial Intelligence (AI) has emerged as one of the most disruptive forces behind the digital transformation of business. Today, at Microsoft Ignite 2017, as we engage in conversations about digital transformation with over 25,000 customers and partners, I am pleased to share some of our latest and most exciting innovations in AI development platforms. These announcements – which span Azure Machine Learning (AML), new Visual Studio tools for AI, Cognitive Services and new enterprise AI solutions – demonstrate our mission to bring AI to every developer and every organization on the planet, and to help businesses augment human ingenuity in unique and differentiated ways. Today we are announcing a set of powerful new capabilities in AML for developers to exploit big data, GPUs, data wrangling and container based model deployment. Let me tell you more about these below and for a deep dive please review this AML blog.
Artificial intelligence (AI) has been around since 1950s and has made some giant leaps in that time. Companies have only recently started adopting AI for core consumer services. The relationship between men and machines is changing, and organizations are now ready to make AI an everyday element of their customer offerings. Artificial intelligence is a utilitarian tool that has many valuable applications, especially in a business setting. When considering its use for customer support it becomes very attractive as an investment in a company's overall IT infrastructure.
One of the top conversations that we have with businesses all over the world is how digital transformation is impacting every part of their operations. This wave of transformation is being driven by the ongoing advances in computing building blocks of the last few decades: compute, storage, and networks. At the same time as companies are continuing down the path of digital transformation, there is a new generation of software building blocks that will drive even greater transformation for businesses in the future of which AI is one of the core drivers. AI will help to transform all industries, including transportation, manufacturing, retail, agriculture, and more and create opportunities we have yet to consider. In this post I will talk about how Microsoft is helping businesses transform with AI.