ParallelM, one of the fastest-growing companies in machine learning operationalization (MLOps), today announced that it has been named a "Cool Vendor" based on the September 11, 2018 report titled, "Cool Vendors in Data Science and Machine Learning," by Peter Krensky, Svetlana Sicular, Jim Hare, Erick Brethenoux, and Austin Kronz at Gartner, Inc. Gartner's report notes, "While the democratization of machine learning platforms is proliferating model creation, the need to operationalize models at scale is still a looming challenge. Vendors focusing on this piece of the machine learning life cycle can answer a growing demand in the market." "We believe it is an honor to be named as one of Gartner's'Cool Vendors' this year in the areas of machine learning and data science," said Sivan Metzger, CEO of ParallelM. "As the interest in these areas continues to grow at a rapid pace, technology has brought us to a point where ML models are being created and tested at scale. How can companies actually operationalize these models and derive the value out of ML? With our solution, companies are finally able to automate the deployment and scale of their machine learning applications, finally unlocking their true business value."

DUBLIN--(BUSINESS WIRE)--The "IoT in Healthcare: Global Industry Analysis, Trends, Market Size and Forecasts up to 2024" report has been added to ResearchAndMarkets.com's offering. The report predicts the global IoT in healthcare to grow with a CAGR of 31.1% over the forecast period of 2018-2024. The introduction of artificial intelligence technology in Healthcare is the major factor driving the growth of this market. In addition, some factors such as technological advancement in the Healthcare sector, rising demand of cost effective management systems for treatment, and collaboration of IT companies with major companies catering into Healthcare are expected to fuel the market growth over the forecast period. However, the issue associated with data privacy and security are expected to hamper market growth.

Alphabet's DeepMind division is partnering with Unity to accelerate machine learning and artificial intelligence (AI) research. The collaboration will focus on "virtual environments" that DeepMind and others can use to test and visualize experimental algorithms. Otherwise, little is known about the partnership. Today's announcement is basically a broad agreement, or statement of intent, between the two companies. "I couldn't be more excited to be collaborating with Unity, creating virtual environments for developing and testing the kind of smart, flexible algorithms we need to tackle real-world problems," Demis Hassabis, co-founder and CEO of DeepMind said in a press release light on detail.

This new offering is available to service providers such as security integrators, telecoms and alarm and monitoring companies for reselling to their customers. IvedaAI includes a powerful self-contained server with artificial intelligence (AI) software, capable of searching a combination of objects from dozens to thousands of cameras in less than one second. Video analytics have been around for many years, but adoption has been slow because of inaccuracies and high cost. IvedaAI employs 30 patents in AI, big data analytics and cloud computing. It applies a deep learning algorithm (trained, not programmed), automates processes and uses natural language.

Roughly 2 million farms dot the continental U.S., and the decisions their proprietors make impact the entire food supply chain. According to one study, if just 5 percent of the U.S. broccoli production isn't harvested, over 90 million pounds of broccoli go uneaten. To help stabilize a market often fraught with unpredictability, IBM today launched the Watson Decision Platform for Agriculture, a new platform comprising artificial intelligence (AI), internet of things, and cloud solutions that together generate "evidence-based" insights. It's available as a managed service offering and part of IBM's new collection of prepackaged tools pretrained for customer service, human resources, manufacturing, and marketing use cases. "Farming has always been a complex undertaking that requires growers to manage an interconnected web of pre-season and in-season decisions while at the mercy of mother nature," the Armonk company wrote in a press release.

Caterpillar's marine business has integrated a suite of machine learning software from OSIsoft that should help its clients save millions in fuel costs while improving the safety and reliability of equipment on the high seas. OSIsoft announced today that Caterpillar is OEMing some of its technology, including the Connected Services and PI Systems offerings, as part of Cat Asset Intelligence, which is a suite of machine learning-based services that Caterpillar offers to clients in various industries. The complexity and scale of today's ships make them good candidates for optimization through big data. According to Matt Miller, OSIsoft's transportation industry principal, the two most immediate areas for savings are energy consumption and maintenance costs. "Ships use tremendous amounts of fuel," Miller tells Datanami.

WorkFusion, the leading AI-powered process automation provider, was awarded top honors in robotic process automation (RPA) and artificial intelligence (AI) by two independent panels of industry judges. Judges of the third annual AIconics selected WorkFusion as offering the Best Innovation in RPA from a shortlist that included three of the largest RPA providers. TechXLR8 Asia judges recognized WorkFusion for the Best Application of AI in Financial Services for helping 25% of the biggest U.S. banks, three of the top 10 insurance companies, and half of the top 10 global financial data providers to transform operations by integrating AI into a single, cost-effective automation platform for business people. The AIconics Awards preceded the AI Summit in San Francisco, and the TechXLR8 Asia Awards took place during the AI Summit in Singapore, both taking place concurrently September 19 – 20. AIconics judges selected WorkFusion Smart Process Automation (SPA), the company's flagship AI-driven process automation product, for the Best Innovation in RPA award for letting its customers automate complex processes from end-to-end on a single platform with the lowest total cost of ownership of any RPA product.

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."

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