The transformation of Big Data into something more won’t happen overnight!
Provo, Utah–based sales automation company InsideSales has always been interested in applying data analysis to mountains of sales data. After delivering on this mission last year, the company is now ramping up its efforts to predict who salespeople should call and when.
Alteryx has raised $60 million to help expand its fast-growing business, which straddles the middle ground between Excel and SPSS by trying to turn data blending and predictive modeling into self-service experiences.
Google open sourced a new package for the R statistical computing software that’s designed to help users infer whether a particular action really did cause subsequent activity. Google has been using the tool, called CausalImpact, to measure AdWords campaigns but it has broader appeal.
Microsoft’s been in the machine learning game for almost 15 years, announcing a revamped offering last month. What does Redmond’s Machine Learning history tell us about the market’s future?
In his Weekly Update, Andrew Brust, the Gigaom Research research director for data, looks at the dynamics as new predictive, streaming and in-memory analytics gain momentum in the market. He notes that these once-forward technologies are becoming mainstream and sees some promising startups bringing new capabilities to the space.
Context Relevant, a Seattle-based startup that promises to create accurate predictive models in a hurry, even across large datasets, has raised a $21 million series B round of venture capital. Formation 8 led the round, which also included existing investors Madrona Venture Group, Bloomberg Beta and Vulcan Capital, and several angels and strategic investors. Context Relevant’s technology includes specialized algorithms for functions such as fraud detection and behavioral analysis, then automatically analyzes data against them and generates models that can added to applications without recoding.
6Sense, a startup using machine learning to help companies predict who’ll buy their products, launched on Monday along with $12 million in venture capital from Battery Ventures and Venrock. The company claims it uses behavioral data to predict when customers are in the market to buy, and it focuses on each part of the sales cycle. Sales and marketing have become major use cases for machine learning, with a growing numbers of startups trying to help business know which customers to target, when and how.
Numenta, the machine learning company from Palm creator Jeff Hawkins, has narrowed its business model to focus solely on predicting anomalies in Amazon Web Services instances. It’s one of several big changes at the company in the past few years.
Dell has bought a statistical analysis vendor called StatSoft that makes software akin to that of SAS and IBM’s SPSS business. It seems like an uninspired buy for a company trying to forge a new direction since going private.