ARM Holdings lines up $600mn swoop for Treasure Data

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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.


"Above the Trend Line" – Your Industry Rumor Central for 8/22/2016 - insideBIGDATA

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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. Be sure to Tweet Above the Trend Line articles using the hashtag: #abovethetrendline.


Accenture buys analytics consulting firm OPS Rules - InfotechLead

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IT services provider Accenture announced its deal to acquire OPS Rules, an analytics consulting company based in the US. The acquisition of OPS Rules enables Accenture to expand its machine learning and operations analytics capabilities. Last year, Accenture also acquired Gapso, an analytics services and solutions provider in Brazil that assists enterprises to solve supply chain and logistics challenges. OPS Rules, founded in 2012, specializes in the application of data science to create supply chain and operations analytics solutions. The US head-quartered Accenture aims to add new operations analytics professionals to its team that apply machine learning and optimization techniques to develop innovative analytics approaches for clients.


How machine learning will affect your business

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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.


Oracle acquires machine learning, big data startup DataScience.com

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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.