IBM (NYSE: IBM) today announced enhancements to Cloud Pak for Data that leverage the DataOps methodology to help clients get their data'business-ready' for AI. As corporate data continues to grow in both volume and complexity – often of mixed structures and types and from sources strewn across the enterprise – the time required to collect and organize these vast datasets into usable data for AI can stress resources and actually stall AI projects. Improving data preparation, management and automation are the pillars of the burgeoning and collaborative DataOps (data operations) principle, which outlines methods for automating and streamlining data flows across an enterprise. DataOps is also at the core of the "Organize" rung of IBM's AI Ladder strategy, from which clients can transform datasets into data that's tuned and prepared for AI. "The path to consistent success with AI projects begins with business-ready data and the methodology for delivering that is DataOps," said Rob Thomas, General Manager, IBM Data and AI.

IBM (NYSE: IBM) today announced enhancements to Cloud Pak for Data that leverage the DataOps methodology to help clients get their data'business-ready' for AI. As corporate data continues to grow in both volume and complexity – often of mixed structures and types and from sources strewn across the enterprise – the time required to collect and organize these vast datasets into usable data for AI can stress resources and actually stall AI projects. Improving data preparation, management and automation are the pillars of the burgeoning and collaborative DataOps (data operations) principle, which outlines methods for automating and streamlining data flows across an enterprise. DataOps is also at the core of the "Organize" rung of IBM's AI Ladder strategy, from which clients can transform datasets into data that's tuned and prepared for AI. "The path to consistent success with AI projects begins with business-ready data and the methodology for delivering that is DataOps," said Rob Thomas, General Manager, IBM Data and AI.

If you thought we had perfected fast food ordering, think again. McDonald's is going to drag us all into the future, whether we like it or not. The golden arched burger empire announced Tuesday that it plans to acquire Apprente, a startup that specializes in speech-based AI technology. The McDonald's press release claims this will "allow for faster, simpler and more accurate order taking" at its drive-thru kiosks. Kiosks like this have been more and more common in McDonald's restaurants in recent years. Somewhat crucially, McDonald's didn't say how much it's paying for Apprente.

Universal mCloud is creating a more efficient future with the use of AI and analytics, curbing energy waste, maximizing energy production, and getting the most out of critical energy infrastructure. Through mCloud's AI-powered AssetCare platform, mCloud offers complete asset management solutions to three distinct segments: smart facilities, power generation, and process industries including oil and gas. IoT sensors bring data from connected assets into the cloud, where AI and analytics are applied to maximize their performance. Headquartered in Vancouver, Canada with offices in locations worldwide including Calgary, San Francisco, and Beijing, the mCloud family includes an ecosystem of operating subsidiaries that deliver high-performance IoT, AI, 3D, and mobile capabilities to customers, all integrated into AssetCare. With over 100 blue-chip customers and more than 35,000 assets connected in thousands of locations worldwide, mCloud is changing the way energy assets are managed.

McDonald's is partnering with Dynamic Yield, a leader in personalized tech, to customize drive-thru experiences. McDonald's hopes that an investment in technology is the special sauce that will transform drive-thru ordering. The fast-food giant announced Tuesday that it has an agreement to acquire Apprente, a Silicon Valley-based start-up specializing in conversational voice-based ordering technology. McDonald's said the technology understands different accents and is "expected to allow for faster, simpler and more accurate order taking at the Drive Thru" and could also be incorporated into kiosks and mobile ordering. "Building our technology infrastructure and digital capabilities are fundamental to our Velocity Growth Plan and enable us to meet rising expectations from our customers, while making it simpler and even more enjoyable for crew members to serve guests," Steve Easterbrook, McDonald's president and CEO, said in a news release.

The new HPE ML Ops solution extends the capabilities of the BlueData EPIC container software platform, providing data science teams with on-demand access to containerized environments for distributed AI / ML and analytics. BlueData was acquired by HPE in November 2018 to bolster its AI, analytics, and container offerings, and complements HPE's Hybrid IT solutions and HPE Pointnext Services for enterprise AI deployments. Enterprise AI adoption has more than doubled in the last four years1, and organizations continue to invest significant time and resources in building machine learning and deep learning models for a wide range of AI use cases such as fraud detection, personalized medicine, and predictive customer analytics. However, the biggest challenge faced by technical professionals is operationalizing ML, also known as the "last mile," to successfully deploy and manage these models, and unlock business value. According to Gartner, by 2021, at least 50 percent of machine learning projects will not be fully deployed due to lack of operationalization.2

Informatica, the enterprise cloud data management leader, today announced it is investing in GreenBay Technologies, a data management startup focused on AI and machine learning, to develop AI innovations that strengthen the impact of Informatica's AI-powered CLAIRE engine across its Intelligent Data Platform . GreenBay Technologies has ties to the University of Wisconsin (UW) at Madison and the Wisconsin Alumni Research Foundation (WARF), one of the oldest and most successful technology transfer offices in the nation focused on advancing transformative discoveries to the marketplace. GreenBay Technologies develops products that use machine learning and big data technologies to automate complex data management tasks such as entity and schema matching. The company was co-founded by Dr. AnHai Doan, UW's Vilas Distinguished Achievement Professor, who oversees multiple data management research projects at the university's department of computer science. Doan and the staff of Ph.D. students will collaborate with Informatica's R&D team to enhance Informatica's CLAIRE engine and power industry-leading data management solutions.

Kleyman brings more than 15 years of experience to his role as Executive Vice President of Digital Solutions at Switch. Using the latest innovations such as AI, machine learning, blockchain, DevOps, cloud, and advanced technologies, Kleyman delivers solutions to customers that help them achieve their business goals and remain competitive in their market. An active member in the technology industry, he was ranked number 16 globally in the Onalytica study that reviewed the top 100 most influential individuals in the cloud landscape; and number 4 in another Onalytica study that reviewed the industry's top Data Security Experts. His published and referenced work can be found on ITPro Today, Data Center Knowledge, InformationWeek, Network Computing, AFCOM, TechTarget, Dark Reading, Forbes, CBS Interactive, Slashdot, and more.

Newswire) Patriot One Technologies Inc., (TSX: PAT) (OTCQB: PTOTF) (FRANKFURT: 0PL) ("Patriot One" or the "Company"), developer of the PATSCAN Multi-Sensor Covert Weapon Detection Platform ("PATSCAN Platform"), is pleased to announce the acquisition of XTRACT Technologies Inc. ("XTRACT") and all its related interests, assets, and intellectual property for consideration of $6,000,000 and the issuance of 9,422,956 Patriot One common shares (the "Consideration Shares") to XTRACT's former shareholders (the "Transaction"). Subject to certain exceptions based on the business of the Company or the performance of the Company's common share price, the Consideration Shares will be subject to escrow restrictions and released on a quarterly basis over the next twelve consecutive fiscal quarters of Patriot One. The Transaction follows demonstrated success of an ongoing collaborative project between the two firms that was announced in late July 2019. The XTRACT acquisition is part of an ongoing strategic initiative by the Company to bring together leading-edge technologies and services that will enhance the power of its PATSCAN Platform, which offers a layered, multi-sensor approach to concealed threat and disturbance detection. "Just over a month ago, we announced a development project with XTRACT, and during this period we've already seen great progress in significant opportunities for enhanced detection accuracy" said Martin Cronin, Patriot One's CEO and President.

Predictive Oncology Inc. (NASDAQ: POAI) is a data and artificial intelligence-driven discovery services company that provides predictive models of tumor drug response to improve patient outcome. Predictive Oncology harnesses the power of artificial intelligence, collaborating with the pharmaceutical, diagnostic and biotech industries to develop highly customizable assessment methods for patients, which can lead to much more effective treatments. Predictive Oncology leverages the synergies of its three wholly owned subsidiaries to bring precision medicine to the diagnosis of cancer. Helomics applies artificial intelligence to its rich data gathered from patient tumors to both personalize cancer therapies for patients and drive the development of new targeted therapies in collaborations with pharmaceutical companies. Helomic's CLIA-certified lab provides clinical testing that assists oncologists in individualizing patient treatment decisions, by providing an evidence-based roadmap for therapy.