ARM Holdings is preparing a $600mn takeover bid for data analytics specialist Treasure Data, reports Bloomberg. SoftBank-owned ARM, which is based in the United Kingdom and is an industry-leader in semiconductor and software design, is eyeing the acquisition to expand its footprint in the Internet of Things (IoT). IoT is at the forefront of ARM's long-term strategy - in June, it completed the acquisition of leading technology connectivity management provider Stream Technologies and by 2035 it hopes to operate a trillion connected devices around the world. ARM was sold to SoftBank in 2016 for a reported $32bn, a purchase funded by SoftBank's Vision Fund which delivers investment for startups in advanced technologies such as artificial intelligence, driverless cars, robotics and ride sharing, as well as IoT. Treasure Data operates cloud services tailored to Big Data collection, storage and analysis and already works with a number of major IoT companies.
Here are this week's top stories in fraud and big data technology: Thanks to its huge network of users, Sprint has access to vast amounts of user data. Three years ago it established subsidiary Pinsight Media to investigate ways of capitalizing on that data. Since then it has gone from serving zero to six billion ad impressions per months, based on "authenticated first party data" which it alone has access to. The fact that plain passwords are no longer safe to protect our digital identities is no secret. For years, the use of two-factor authentication (2FA) and multi-factor authentication (MFA) as a means to ensure online account security and prevent fraud has been a hot topic of discussion.
Oracle made a big move to make its cloud more attractive to data professionals Wednesday with a deal to acquire DataScience.com. The startup was founded in 2014 built an enterprise platform on which data science teams can organize data, access computing resources, and execute model development workflows. Terms of the deal were not disclosed. The platform unifies data science tools, libraries and languages with cloud infrastructure with the aim of making it easier for data scientists to collaborate and push their work into production environments. Oracle has put a lot of emphasis on artificial intelligence of late, rolling out services that self-manage databases and other cloud tools by integrating machine learning capabilities into those products.
Machine learning techniques may have been used for years, but recently there has been an explosion in their applications. In fact, in a recent Q3 earnings call, Google CEO Sundar Pichai said "Machine learning is a core, transformative way by which we're re-thinking how we're doing everything." In the past, successful use of machine learning algorithms required bespoke algorithms and huge R&D budgets, but all that is changing. IBM Watson, Microsoft Azure, Amazon and Alibaba all launched turnkey cloud based machine learning SaaS solutions in 2015. At the same time startups like Idibon, MetaMind, Dato and MonkeyLearn have built machine learning products that companies can take advantage of.
ThetaRay, a big data analytics company based in Hod HaSharon, Israel, today announced that it raised more than $30 million in a funding round led by Jerusalem Venture Partners (JVP), GE, Bank Hapoalim, OurCrowd, SVB Investments, and others. That puts its fundraising total to date at about $60 million. "In this era when criminal activity and money laundering are increasing and becoming more sophisticated and also regulation is on the rise, there is a greater demand for our solutions," Mark Gazit, CEO of ThetaRay, said in a statement. "As the amount of digital information grows, you just can't protect it without artificial intelligence systems. ThetaRay offers the most advanced and mature solutions to detect threats before they happen."