Microsoft earlier this month launched a preview of a new cloud service called Azure Machine Learning, and some partners are already using it to build the sort of apps that used to require a team of expensive data scientists to pull off.
While business intelligence technology slices and dices data to see what has happened in the past, machine learning -- also known as predictive analytics -- crunches historical data to predict what will happen in the future.
Azure Machine Learning is a public cloud-based service that lets developers embed predictive analytics into their applications, Joseph Sirosh, corporate vice president in Microsoft's Cloud and Enterprise group, said in a recent interview.
Machine learning software has been around for years but isn't easy to use or deploy, and it's also expensive, Sirosh said. Packaging up machine-learning-as-a-cloud service solves these problems, and by being first to bring it to market, Microsoft has a head start on the likes of Google, Amazon and IBM, he said.
"I think, on this particular front, that we are the leaders," Sirosh told CRN.
Hiring Sirosh was something of a coup for Microsoft. He joined last July from Amazon, where he spent close to nine years as a vice president in various machine-learning-related roles. Sirosh said former Microsoft CEO Steve Ballmer and current CEO Satya Nadella -- then head of the Cloud and Enterprise group -- recruited him to help Microsoft build a platform that would "democratize" machine learning.
"The reason machine learning needs to be democratized is because until now, it's been the realm of few highly skilled people," Sirosh told CRN.
Microsoft started developing machine learning technology in 1992, and uses it today in Xbox, Bing and its Cortana digital assistant for Windows Phone. The technology also is effective in fraud prevention and for predicting consumer buying behavior. Sirosh said Microsoft has more than 100 partners using the Azure ML preview.
Versium, a Redmond, Wash.-based Microsoft partner, uses Azure ML with its proprietary LifeData predictive analytics service. Combining this with data from its customers' CRM, marketing and other internal systems lets Versium generate "scores" that predict consumer behavior, Versium CEO Chris Matty said in an interview.
A credit score is a simple example, but Versium is currently developing many other types of scores with leading consumer brands, and it's using Microsoft's Azure ML service to build them.
Versium's scores can be used to verify the identities of online shoppers, predict the likelihood that they'll cancel a service to jump to a competitor, and gauge their influence on social media, among other things, Matty said.
"They're all designed to answer questions: Which of my customers are likely to scam me? Who is likely to donate to my cause?" Matty said of the scores. With Azure ML, "We can inject data, build our model, tune it and deploy in a matter of a couple of weeks."
NEXT: How Other Microsoft Partners Are Using The Service