So what skills are needed for these roles? The chart above displays a nice visual, where the horizontal axis is the level of Machine Learning expertise and the size of the bubble is the level of communication and technical writing (the bigger the better). The Machine Learning DevOps is primarily a software engineering role, which often comes from a standard software engineering pipeline. The Data Engineer belongs to the software engineering team that works actively with Machine Learning teams. The Machine Learning Engineer requires a rare mix of Machine Learning and Software Engineering skills.

Accenture is dipping into its massive wallet again in the waning days of 2019 to buy Clarity Insights, an expert in artificial intelligence (AI) and machine learning that will add to the systems integrator's data analytics capabilities. The Lowdown: The planned acquisition of Clarity will help Accenture address the growing demand among enterprises to scale their AI and machine learning efforts and to more quickly analyze the rapidly growing amount of data that they're generating. The Details: Clarity, an 11-year-old data analytics consulting firm based in Chicago, will become part of Accenture's Applied Intelligence business, a unit that the company has been expanding both through internal innovation and acquisitions, including Knowledgent and Kogentix in 2018 and more recently Pragsis Bidoop and Analytics8 this year. Clarity's business is built around working with large enterprises from the time they launch their AI, analytics, and automation initiatives to implementing the strategy and supplying engineering capabilities. The acquisition will add almost 350 new employees to Accenture's workforce of more than 492,000.

Accenture is dipping into its massive wallet again in the waning days of 2019 to buy Clarity Insights, an expert in artificial intelligence (AI) and machine learning that will add to the systems integrator's data analytics capabilities. The Lowdown: The planned acquisition of Clarity will help Accenture address the growing demand among enterprises to scale their AI and machine learning efforts and to more quickly analyze the rapidly growing amount of data that they're generating. The Details: Clarity, an 11-year-old data analytics consulting firm based in Chicago, will become part of Accenture's Applied Intelligence business, a unit that the company has been expanding both through internal innovation and acquisitions, including Knowledgent and Kogentix in 2018 and more recently Pragsis Bidoop and Analytics8 this year. Clarity's business is built around working with large enterprises from the time they launch their AI, analytics, and automation initiatives to implementing the strategy and supplying engineering capabilities. The acquisition will add almost 350 new employees to Accenture's workforce of more than 492,000.

Newswire) Veritone, Inc. (NASDAQ: VERI), a leading provider of artificial intelligence (AI) insights and cognitive solutions, today announced that it has achieved Amazon Web Services (AWS) Machine Learning (ML) Competency status. This designation recognizes Veritone for offering solutions that enable prescriptive and predictive capabilities within customer workflows and applications. AWS ML Competency status designates Veritone as an AWS Partner Network (APN) member that has built solutions that help organizations solve their data challenges, enable machine learning and data science workflows or offer SaaS/API-based capabilities that enhance end applications with machine intelligence. Attaining the AWS ML Competency demonstrates to Veritone's customers that the company has ML expertise on AWS. "Achieving AWS ML Competency status recognizes Veritone's proven track record of making AI accessible and actionable to institutions and organizations by combining the most advanced processing engines across major cognitive functions with a suite of powerful applications and a proprietary orchestration layer informed by machine learning," said Chad Steelberg, chairman and chief executive officer of Veritone.

Fast-growing Amazon Web Services solutions provider REAN Cloud has purchased 47Lining to strengthen its capability around creating dashboards and reporting. The Herndon, Va.-based company, No. 459 on the CRN Solution Provider, said acquiring Niwot, Colo.-based 47Lining will bridge a technical competency gap, enabling REAN to move up the chain in the decision-making process, according to Sri Vasireddy, a REAN managing partner. "We needed an anchor to position ourselves in that space," Vasireddy told CRN. "Amazon trusts them like they trusted us in our earlier days." Although 47Lining has just 20 employees, Vasireddy said AWS isn't afraid of presenting them to larger enterprises given their expertise around big data analytics, machine learning, and the Internet of Things (IoT). Nineteen of 47Lining's 20 employees are engineers, most of whom bring years of experience and deep domain expertise to the table, according to Dan Connolly, EVP of Rean's customer business group.