Immuta today announced that it has been named in Gartners report, Cool Vendors in Data Science and Machine Learning. Immuta provides the industrys only enterprise data management platform for artificial intelligence (AI), enabling organizations to easily operationalize data for increased access, control and visibility to drive their machine learning and artificial intelligence (AI) programs. In the report, Gartner finds that attention and emphasis on data management and governance around machine learning have intensified. Mature data science teams are looking for functionality around data lineage, privacy, risk management and access control. Gartner recommends that data management and governance becomes a point of emphasis within data science teams, and provide support through specialized technologies.

Octopai, the leader in metadata management automation for BI, has been recognized in Gartner's September 2018 "Cool Vendors in Data Science and Machine Learning" report by analysts Peter Krensky, Svetlana Sicular, Jim Hare, Erick Brethenoux and Austin Kronz, as one of 5 Cool Vendors According to Gartner, "Data and analytics leaders should engage with vendors in areas such as data management, unstructured data analysis and model operationalization." "We are very honored to be named a Gartner Cool Vendor for 2018," said Amnon Drori, Co-founder and CEO of Octopai. "The growing complexity of data management environments has created a need for modern and disruptive metadata management automation tools. We believe Octopai's inclusion in the Gartner report highlights this need." According to the report, "as citizen data science, enabled by augmented analytics, dramatically increases the volume of models created, discipline in data management and operationalization becomes even more critical."

This release contains "forward-looking statements" within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E the Securities Exchange Act of 1934, as amended and such forward-looking statements are made pursuant to the safe harbor provisions of the Private Securities Litigation Reform Act of 1995. Statements in this news release other than statements of historical fact are "forward-looking statements" that are based on current expectations and assumptions. Forward-looking statements involve risks and uncertainties that could cause actual results to differ materially from those expressed or implied by the statements, including, but not limited to, the following: the ability of On the Move Systems to provide for its obligations, to provide working capital needs from operating revenues, to obtain additional financing needed for any future acquisitions, to meet competitive challenges and technological changes, and other risks. On the Move Systems undertakes no duty to update any forward-looking statement(s) and/or to confirm the statement(s) to actual results or changes in On the Move Systems expectations.

RAD's suite of products which presently includes SCOT, WALLY and FRED provides recurring monthly revenue for RAD. On average, each SCOT, WALLY and FRED respectively can generate, over a 4 year period, $60,000, $25,000 and $12,000 of total revenue for the Company. To date the aggregate of all units presently deployed, at purchase order stage and client verbal commitment stage equal more than $2,400,000 worth of total potential revenue. RAD expects to reach $100,000 of monthly recurring revenue by this fiscal year end February 28, 2019, which represents approximately $5,000,000 of total potential revenue. RAD already has total deployments, purchase orders and verbal commitments for half of this amount to date.

To use the title of Brad Stone's seminal book about the nation's largest online retailer, Amazon is so much "The Everything Store" that it can be a little hard to remember when it was just a bookstore. But Jeff Bezos' ambitions are actually the grandest in the land, and the dozen-plus Alexa devices the company announced today show the next step. Throughout tech history, incumbents have needed to beware of leapfroggers. Apple never needed to defend a dumb-phone business, so it could upend smartphones. T-Mobile had no landline thinking, so it could become the UnCarrier.

CEO, Martin Spencer, addresses their 2018 progress in multiple markets. For over twenty years, GeckoSystems has dedicated itself to development of "AI Mobile Robot Solutions for Safety, Security and Service(tm)." We have further cost reduced the direct manufacturing costs of our proprietary, breakthrough SafePath! It is our AI enabled human quick sense and avoid of moving and/or unmapped obstacles that opens up the immense HME/DME rehab and power wheelchair markets to GeckoSystems for a first mover opportunity. We now believe that our collision free benefit can be added to most power wheelchairs for less than $2,000 MSRP, installed. "Recently, I had the opportunity to do some Delphi Market Research with one of Pride Mobility's largest US dealers and their master rehab power wheelchair technician.

Microsoft and Amazon said that voice and video calls via the service will come to Alexa devices (including Microsoft's Xbox One) with calls that you can start and control just by voice. Last year the two companies announced plans to make Alexa and Cortana work together and it's taken a while to arrive, but now it's here. Amazon's push to make people buy more things via its assistant could provide a boost to Microsoft's aspirations of product integration in a way that didn't happen after the launch of the Xbox One and Kinect, which already featured voice control for Skype before Cortana and Alexa were on the scene.

It wouldn't be an Amazon event without a slew of new Echo devices, and this time is no different. The company announced not one, not two, but seven new Echo products today at an event today in Seattle. Not only are there now new versions of the Echo Dot, the Echo Plus and the Echo Show, Amazon also introduced several new Echo companions that you can use to bring Alexa to every room in your house -- and even your car. Like the new Echo Show, the new Echo Dot and Echo Plus look a lot better this year than last. The Dot, for example, no longer looks like an oversized hockey puck.

Artificial intelligence (AI) processing today is mostly done in a cloud-based data center. The majority of AI processing is dominated by training of deep learning models, which requires heavy compute capacity. In the last 6 years, the industry has experienced a 300,000X growth in compute requirements, with graphics processing units (GPUs) providing most of that horsepower. According to a new report from Tractica, however, as the diversity of AI applications grows, an increasing amount of AI processing will be handled within edge devices rather than in a centralized, cloud-based environment. Tractica forecasts that AI edge device shipments will increase from 161.4 million units in 2018 to 2.6 billion units worldwide annually by 2025.

Neo4j, the market leader in connected data, announced today the upcoming release of Neo4j 3.5, the native graph platform designed to drive the success and adoption of real-time business applications, including artificial intelligence (AI) and machine learning (ML) systems. Neo4j customers – including eBay and Caterpillar – have demonstrated that connected graph datasets are a foundational element of enterprise AI applications. Graph-based data models provide the necessary context for AI applications by capturing facts related to and relationships among people, processes, applications, data and machines. Informed by successful AI customer deployments – including knowledge graphs, fraud detection, recommendation systems and conversation engines – Neo4j 3.5 delivers foundational features for AI-powered systems of connection to generate bottom-line business value. "The way we organize and represent knowledge in AI-powered systems has a profound effect on what and how they can learn," said Bowles.