Significant investments in AI Chip start-ups is anticipated to boost the Market growth 5.1.2

Significant investments in AI Chip start-ups is anticipated to boost the Market growth 5.1.2

McLeod Software has created the AI Truck Racing League (AITRL), a new organization focused on advancing the understanding of Machine Learning technology in the transportation industry. "Machine Learning is not yet widely understood by many, but to help companies gain a better understanding, we have set up a fun racing simulation as a way for companies to learn and participate. At McLeod Software, we realize Machine Learning is the future happening now. That is why we have created the AI Truck Racing League and the McLeod Software Racing Team," said Vice President of Special Projects Ken Craig. AITRL's open platform enables member-racing teams to use industry standard cutting edge AI technologies.

WIRE)--Baker Hughes, a GE company (NYSE:BHGE) and C3.ai today announced the launch of BHC3 Reliability, the first artificial intelligence (AI) software application developed by the BakerHughesC3.ai Unveiled at BHGE's annual digital conference, UNIFY2019, the now generally available application uses deep learning predictive models, natural language processing, and machine vision to continuously aggregate data from plant-wide sensor networks, enterprise systems, maintenance notes, and piping and instrumentation schematics. Using historical and real-time data from entire systems, the BHC3 Reliability machine learning models identify anomalous conditions that lead to equipment failure and process upsets. Application alerts enable proactive action by operators to reduce downtime and lost revenue. Applicable to operations across all sectors of the energy value chain, BHC3 Reliability's system-of-systems approach scales to any number of assets and processes across offshore and onshore platforms, compressor stations, refineries, and petrochemical plants, reducing downtime and increasing productivity.

WAUKESHA, Wis.--(BUSINESS WIRE)--GE Healthcare today announced the Food and Drug Administration's 510(k) clearance of Critical Care Suite, an industry-first collection of artificial intelligence (AI) algorithms embedded on a mobile X-ray device. Built in collaboration with UC San Francisco (UCSF), using GE Healthcare's Edison platform, the AI algorithms help to reduce the turn-around time it can take for radiologists to review a suspected pneumothorax, a type of collapsed lung. "X-ray – the world's oldest form of medical imaging – just got a whole lot smarter, and soon, the rest of our offerings will too," says Kieran Murphy, President & CEO, GE Healthcare. "GE Healthcare is leading the way in the creation of AI applications for diagnostic imaging and taking what was once a promise and turning it into a reality. By integrating AI into every aspect of care, we will ultimately improve patient outcomes, reduce waste and inefficiencies, and eliminate costly errors. Critical Care Suite is just the beginning."

WIRE)--Guidewire Software, Inc. (NYSE: GWRE), provider of the industry platform Property and Casualty (P&C) insurers rely upon, today announced that specialist insurer Beazley has selected Guidewire Cyence Risk Analytics (Cyence) to leverage its internet-scale data collection capabilities to improve underwriting, capital and pricing efficiencies, and offer policy terms and premiums as quickly as possible to its customers. Beazley will implement Cyence data models to augment its existing data modeling applications for its cyber insurance line of business, with plans to expand to other lines of business in the future. "We are pleased that Beazley has expanded its Guidewire relationship with the selection of Cyence, and applaud the company's global mission of providing its clients with the highest standards of underwriting and claims service," said Mike Rosenbaum, chief executive officer, Guidewire Software. "Guidewire is committed to bringing smart insurance solutions to the market. We look forward to working with Beazley to infuse data analytics to help achieve its strategic goals around enterprise risk management and overall business growth."

The "Opportunities Assessment of Artificial Intelligence in Consumer Electronics" report has been added to ResearchAndMarkets.com's offering. Alongside automotive, manufacturing, and healthcare industries artificial intelligence (AI) is poised to have a high impact on the demand-driven consumer electronics industry. Tier-1 OEMs such as LG Electronics, Samsung Electronics, and Whirlpool Corporation have developed AI-driven consumer electronic products leveraging enhanced user experience. Research and Markets also offers Custom Research services providing focused, comprehensive and tailored research.

Hewlett Packard Enterprise (HPE) today announced a container-based software solution, HPE ML Ops, to support the entire machine learning model lifecycle for on-premises, public cloud and hybrid cloud environments. The new solution introduces a DevOps-like process to standardize machine learning workflows and accelerate AI deployments from months to days. 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.

Mindtree, a global technology services and digital transformation company, today revealed the findings of its recent survey of AI usage across enterprises. The study found most businesses are well underway with AI experimentation, but many still lack an understanding of the use cases to deliver business value and the data infrastructures for making AI a success across the enterprise on a sustainable basis. The survey, which gathered data from 650 global IT leaders from key business markets, found 85% of organisations have a data strategy and 77% have implemented some AI-related technologies in the workplace, with 31% already seeing major business value from their AI efforts. Organisations are achieving their vision to industrialize AI, but many can do more to gain real business value. When implementing an AI strategy, there's a pressing need for use cases to demonstrate business value.

Deep Nexus Inc. (Deep Nexus) today announces the launch of its AI-powered predictive analytics for financial markets. "Our core approach is to find repeating patterns and anomalies in data and to use these for intra-day trading," said Chief Executive Officer Kevin M. Riley. "Our technology stack is complete; from collecting incoming data, to generating analytics, through trade execution. It is the emerging hardware and software technologies, especially deep learning, that have made our platform possible." Riley began experimenting with quantitative trading strategies and neural networks more than 20 years ago.