Cloudera, Inc. (NYSE: CLDR), the modern platform for machine learning and analytics, optimized for the cloud, announced that Octo Telematics, a global leader in telematics for insurance companies, is introducing innovations for insurance by aggregating 186 billion miles of driving data from connected cars and using Cloudera Enterprise to predict and model driver risk. Utilizing machine learning and analytics on Cloudera Enterprise, the Octo Telematics platform can now deliver actionable insights and risk modeling to over 100 insurance companies worldwide that enables them to transform insurance including pricing, First Notice of Loss (FNOL), and claims insights. Octo Telematics' platform, built on Cloudera Enterprise, aggregates over 11 billion new data points from 5.4 million connected cars and sensors daily, creating one of the largest connected-car subscribed installed bases across the globe. Every relevant type of data--contextual data, driving data, behavioral data, and crash data--is utilized to forecast individual driving habits, improve crash notifications and response, evaluate crash dynamics, and detect fraud. "At Octo Telematics, we are using the power of IoT data analytics to transform the auto insurance industry and essentially be there for people at the moment they need help. With Cloudera, we use IoT and machine learning to drive intelligence and predict outcomes from billions of miles of driving data, and over 438,000 severe crashes from over five million cars – the largest connected-car subscribed installed base in the world," said Gianfranco Giannella, chief operating officer at Octo Telematics.

After Microsoft signed a deal to test Windows 10 on Xiaomi devices in 2015 and then Xiaomi bought a trove of patents to help run other Microsoft services on its devices in 2016, today the two companies announced another chapter in its collaboration. Xiaomi and Microsoft have signed a Strategic Framework Memorandum of Understanding (MoU) to work more closely in the areas of cloud computing, AI (including Microsoft's Cortana business) and hardware. To date, Xiaomi has largely focused its mobile phone strategy in Asia Pacific, where Gartner revealed yesterday that it (and Huawei) were the only two vendors to increase their market shares at a time of general decline. This deal could point to how Xiaomi is looking to raise its game in the West, specifically in the US, especially as it eyes up an IPO that has been reported to potentially value the company at $100 billion. On the side of Microsoft, it's particularly interesting given that the company has largely pulled back on a lot of its hardware efforts, and has visibly had some major stumbles in this area especially in mobile -- most recently with its failure to take on and grow the Nokia mobile business and Windows Mobile. Understanding that mobile isn't an area that Microsoft can quite step away from altogether, it seems that the company is going to have one more go now on with a different partner (one that is still on the rise) and a different approach.

Google subsidiary DeepMind announced today that it's working with the U.S. Department of Veterans Affairs to use machine learning in an attempt to predict when patients will deteriorate during a hospital stay. Deterioration (when a patient's condition worsens) is a significant issue, since care providers can miss warning signs for potentially lethal conditions that arise as part of other treatment. DeepMind and the VA aim to tackle Acute Kidney Injury (AKI), which, as the name implies, occurs when a person's kidneys temporarily stop working as well as they should. That can mean kidney failure, or just injury that reduces kidney function. AKI can be fatal if untreated.

DUBLIN--(BUSINESS WIRE)--The "Artificial Intelligence Chipsets Market by Technology (Machine Learning, Natural Language Processing, Context-Aware Computing, Computer Vision), Hardware (Processor, Memory, Network), End-User Industry, and Geography - Global Forecast to 2025" report has been added to ResearchAndMarkets.com's offering. This Market is Expected to Be Worth USD 7.06 Billion in 2018 and is Likely to Reach USD 59.26 Billion By 2025, at a CAGR of 35.5% from 2018 to 2025. The growth of the AI (chipsets) market can be attributed to the adoption of AI for improving consumer services and reducing hardware cost. However, the lack of skilled workforce is waning the growth of the AI (chipsets) market. The market for computer vision is expected to grow at the highest CAGR from 2018 to 2025.

Optra Health, which produces AI-driven iPhronesis analysis platform for healthcare and life sciences clients, today announced the launch of a new genetics-focused product specially designed for consumers, genetic counselors, and other genomics researchers. The OptraGURU platform combines the AI tech of iPhronesis with the language capabilities of Amazon's Alexa. Users can speak directly to OptraGURU to navigate through extensive genomic datasets or receive personalized insights. "The convergence of artificial intelligence, conversational technologies like Alexa, and an ever-increasing availability of data is having a transformative effect on how research and clinical results are delivered and communicated," Optra Health cofounder and CEO Gauri Naik said in a statement. "The possibilities of using OptraGURU and AI platforms like iPhronesis in combination with extensive public and private data sets, will advance research and improve the consumer experience."

The AI (chipsets) market is expected to grow from USD 7.06 Billion in 2018 to USD 59.26 Billion by 2025, at a CAGR of 35.5% from 2018 to 2025. The major drivers for the growth of this market are increasingly large and complex dataset driving the need for AI and the adoption of AI for improving consumer services. Moreover, the increasing number of AI applications, improving computing power, and declining hardware cost are propelling the market growth. In the technology segment, machine learning holds the largest share of the AI (chipsets) market. Moreover, the market for computer vision is expected to grow at the highest CAGR from 2018 to 2025.

IOI's software and services support global leaders in life sciences, biotechnology, pharmaceutical, and medical industries, reducing time and cost to benefit from clean, richly connected data. The firm helps realize value from complex, changing data by revealing deeper data relationships through machine learning and reasoning operations. Melissa Informatics, operating as a division of Melissa, integrates a global intelligence toolset to extend these capabilities in healthcare markets and beyond, buoyed by a worldwide enterprise sales and support infrastructure.

Maximizing intelligence on client devices residing on the edge of the network ensures AI-powered user experiences can be realized with better overall performance and with or without a network connection. The key benefits of on-device AI include real-time responsiveness, improved privacy, and enhanced reliability. Supported within the AI Engine, Snapdragon core hardware architectures – Qualcomm Hexagon Vector Processor, Qualcomm Adreno GPU and Qualcomm Kryo CPU – are engineered to run AI applications quickly and efficiently on-device. This heterogeneous computing approach gives developers and OEMs the ability to optimize AI user experiences on smartphones and other edge devices. "On-device AI demands multiple hardware architectures, software tools, and frameworks to meet developer demand and performance thresholds for the myriad of AI-powered features and apps arriving on smartphones this year," said Gary Brotman, director of product management, Qualcomm Technologies, Inc. "The AI Engine capabilities of select Snapdragon mobile platforms have and will continue to fuel AI innovation among our OEMs and ecosystem partners, and are engineered to accelerate the development and delivery of rich, seamless and compelling features for consumers."

According to the latest market research report "Artificial Intelligence Market by Offering (Hardware, Software, Services), Technology (Machine Learning, Natural Language Processing, Context-Aware Computing, Computer Vision), End-User Industry, and Geography - Global Forecast to 2025", published by MarketsandMarkets, the market is expected to grow from USD 21.46 Billion in 2018 to USD 190.61 Billion by 2025, at a CAGR of 36.62% between 2018 and 2025. Major drivers for the market are growing big data, the increasing adoption of cloud-based applications and services, and increasing demand for intelligent virtual assistants. The major restraint for the market is the limited number of AI technology experts. Browse 67 tables and 48 figures spread through 205 pages and in-depth TOC on "Artificial Intelligence Market - Global Forecast to 2025" The market for services is expected to grow at the highest CAGR between 2018 and 2025. The adoption of AI is rapidly increasing in various applications.

About Cognoa Cognoa develops AI-based digital diagnostics and personalized therapeutics that provide accurate, earlier diagnoses and more effective treatments to improve outcomes and lower behavioral healthcare costs. Its first clinically-validated mobile application identifies autism as early as 18 months of age, when early intervention has the greatest potential for improved lifelong outcomes, over two and half years sooner than the national average age of 4.1 years. Cognoa provides its applications to parents through their employers and benefit providers and has been used by over 250,000 families. Cognoa is working with clinicians to offer additional precision medicine applications for faster behavioral health diagnostics and more personalized therapeutics, enabling greater opportunities for life-changing outcomes.