Above the Trend Line: machine learning industry rumor central, is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items such as people movements, funding news, financial results, industry alignments, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz. Our intent is to provide our readers a one-stop source of late-breaking news to help keep you abreast of this fast-paced ecosystem. We’re working hard on your behalf with our extensive vendor network to give you all the latest happenings. Heard of something yourself? Tell us! Just e-mail me at: [email protected] Be sure to Tweet Above the Trend Line articles using the hashtag: #abovethetrendline.
If the early weeks of 2017 are any indicator, the year should be gangbusters for big data. We’re definitely seeing a sustained upswing in activity across the board. Let’s start with more than ample new funding news — Global call analytics company IOVOX Ltd. announced the completion of a $10M Series A round of equity and debt financing led by Octopus Ventures, SF Capital, and Silicon Valley Bank. IOVOX is using the new investment to expand in the United States and execute a product strategy to widen the addressable market for IOVOX services. Co-founded in the U.K. by Ryan and Belinda Gallagher, IOVOX is a leading European provider of call analytics solutions for large brands such as British Telecom, Zoopla (the U.K.’s largest property portal), AutoTrader U.K., and Pizza Express. The company has recently expanded into the United States, and its office in Mill Valley, Calif. serves as a hub for its U.S. growth plans … Immuta, the unified data platform for secure organizations, announced an $8 million Series A round led by Drive Capital with participation from Greycroft Partners and Conversion Capital. The round brings the company’s total funding to $9.5 million to date. The Immuta platform frees data science teams to work with highly-regulated data without being hamstrung by complex security regulations or information governance policies. The platform also gives information governance teams the confidence they need to expose sensitive data without breaching policies, which in turn gives data scientists the access they need to accelerate time-to-breakthrough. Using Immuta, data scientists can quickly create immediately regulated and compliant data sandbox environments that combine disparate data sources from within and across organizations. Immuta supports every major structured and unstructured data source, on premise or in the cloud, including Amazon S3, SQL, NoSQL and Hadoop. The Immuta platform virtualizes data from any data source, which protects the integrity of original data sets. This allows data owners to confidently expose data and data scientists to experiment at will.