A massive disruption now appears imminent in one of the world's largest – and most important – industries. In much the same way that Amazon disrupted the retail business – and how PayPal disrupted the payments industry – one under-the-radar health technology company now seeks to transform the $11.85 trillion global health industry. By moving healthcare away from brick and mortar, traditional medicine into an AI-driven tool that offers unprecedented speed, efficiency, and accuracy... Investors still have a brief window of opportunity to get in on this transformational investment opportunity while it still flies beneath Wall Street's radar. But as you'll soon discover, this company's technology is so powerful that it could become a valuable addition to hundreds of millions of households worldwide. Whether most patients, providers, or large healthcare companies realize it or not, the healthcare industry is already in the early stages of significant change. That's because patients now desire access to more information – and better information – in the blink of an eye. In a recent survey of U.S. health consumers, 71% reported facing major frustrations through their experience with healthcare providers. Concerns ranged from difficulties scheduling appointments to impersonal visits.

Jeffrey Austin White has joined Holmes Murphy as its Chief Analytics Officer (CAO), bringing his nearly three decades of expertise focused on strategic investments in talent and technology to the national insurance brokerage. In this new role for Holmes Murphy, White will work to increase emphasis on innovation and data intelligence, helping to drive the company's potential and performance for clients. He will largely be responsible for defining and driving analytics and business intelligence initiatives, including assessing the current state of data and analytics capabilities, developing an analytics strategy, and leveraging innovations in artificial intelligence to propel Holmes Murphy and its clients forward. White will also be working to provide insight on potential opportunities for BrokerTech Ventures (BTV), the first broker-led convening platform and accelerator program focused on delivering innovation to the insurance broker industry. "Holmes Murphy continues to raise the bar when it comes to developing technology and innovations within the insurance industry. I'm excited to play a role in advancing their data analytics and AI capabilities," said White.

Zoox has been testing its Level-3 (L3) autonomous vehicles in Las Vegas and the Bay Area for four years, way before Amazon acquired the self-driving company in 2020. But to be able to train its technology further, it has to hold trials in other locations with different environmental conditions -- like Seattle. Zoox has announced that it will soon start testing its L3 vehicles in the city to collect data and trial new hardware in the face of frequent rains. "It rains more frequently in Seattle than it does in San Francisco," the company said in its announcement. Zoox built special hardware into its sensors to give its vehicles the capability to automatically remove water and debris when needed.

BOSTON--(BUSINESS WIRE)--BriefCam, the industry's leading provider of Video Content Analytics and VIDEO SYNOPSIS solutions, today announced availability for BriefCam Video Content Analytics on Axis deep learning cameras in December 2021. Edge video processing on Axis deep learning cameras is a new hybrid deployment option for the BriefCam platform that reduces the total cost of ownership of a real-time video analytics deployment, enables operation in low-bandwidth environments, and makes for faster real-time alerting. Through the Axis Application Development Partner Program, BriefCam is one of the first to leverage the AXIS Camera Application Platform (ACAP) to enable comprehensive analytics directly on Axis Communications' deep learning camera series. BriefCam analytics are enabled on the Axis deep learning cameras AXIS P3255 and AXIS Q1615 Mk III, which feature a dual chipset of ARTPEC-7 and a deep-learning processing unit (DLPU), as well as the ARTPEC 8 camera series. By enabling BriefCam analytics on the edge, along with post processing and management capabilities, users experience up to six times faster real-time alerting, a 5-10x reduction in bandwidth, and up to 55% less real-time GPU processing servers for real-time processing.

Babylon, a world leading digital-first, value-based care company today announced a collaboration to explore opportunities to improve the accessibility, affordability and quality of healthcare for people across the world by using their combined AI, Machine Learning and Cloud technologies. The new collaboration has the aim of exploring opportunities to accelerate and enhance current AI and Machine Learning, utilizing them to shift the focus from sick care to preventative health care. "Babylon and Microsoft working together shows our combined commitment to build on our leading-edge digital health technologies and deliver better access and greater affordability for health systems and patients alike", said Ali Parsa, Chief Executive Officer, Babylon. "We share the same vision of healthcare and believe that by bringing our assets together we can further the digital health revolution, offer immediate access to all-in-one personalized care and we can enhance the consumer experience, improve patient outcomes and reduce overall costs." As part of this relationship, the two organizations will explore opportunities to innovate and deliver across product, cloud and AI research with the view toward increasing the impact of their complementary healthcare technologies and extending the Babylon healthcare platform.

Deloitte today announced the launch of its ConvergeHEALTH CognitiveSpark for Marketing artificial intelligence (AI) precision engagement solution, a module of the CognitiveSpark suite. CognitiveSpark for Marketing harnesses the power of AI to boost digital marketing return on investment (ROI) for life sciences companies, helping marketers make AI-powered decisions at scale and with speed. CognitiveSpark for Marketing harnesses the power of AI to boost digital marketing ROI for life sciences companies. A recent Deloitte survey of biopharma executives found that digital innovation is now a burning priority, with 77% of those surveyed saying their organization considers "digital innovation as a competitive differentiator." And in the same survey, 86% of commercial leaders pointed to "health care provider (HCP)/patient engagement as the top use case likely to be impacted by digital innovation."

Thales has launched Season 3 of AI@Centech, a business accelerator designed to help artificial-intelligence focused startups tackle real-world problems. Thales selected five international startups in early August out of a pool of more than 200 potential competitors from around the world. The search for qualified startups began in February when the program published challenges ranging from how to more efficiently use AI to manage satellites to applying augmented cognition to improve human decision-making. The selected startups will work closely with Thales business coaches and AI experts who will advise them on critical skills such as fundraising, product enhancement, design, visibility, proof-of-concept, and market access. Season 3 of AI@Centech follows last year's successful second season of the program, which resulted in many achievements such as Thales and MyDataModels winning a bid with the municipality of Nice Côte d'Azur, France for underwater threat detection.

WIRE)--Alation Inc., the leader in enterprise data intelligence solutions, today announced the acquisition of Lyngo Analytics, a Los Altos, Calif.-based data insights company. The acquisition will elevate the business user experience within the data catalog, scale data intelligence, and help organizations drive data culture. Lyngo Analytics CEO and co-founder Jennifer Wu and CTO and co-founder Joachim Rahmfeld will join the company. Lyngo Analytics uses a natural language interface to empower users to discover data and insights by asking questions using simple, familiar business terms. Alation offers the most intelligent and user-friendly machine-learning data catalog on the market.

Residents of what is typically a quiet neighborhood in San Francisco are being plagued with humming from several Waymo vehicles crowding a dead-end street. The mysterious sightings are coming from the end of 15th Avenue, where up to 50 of the self-driving cars appear to be confused as they enter the area, residents told local news station KPIX. Resident Jennifer King told KPIX that the vehicles, which are being tested in the California city, all make a multi-point turn and then just leaving from where they came in – and sometimes multiple cars arrive at once. 'I noticed it while I was sleeping,' Jennifer King, a resident in Richmond District told KPIX. 'I awoke to a strange hum and I thought there was a spacecraft outside my bedroom window.'

PLEASANTON CA, Sept. 30, 2021 (GLOBE NEWSWIRE) -- The latest study titled "Global Artificial Intelligence in Manufacturing Market Ecosystem By Components; By Deployment; By Technology; By Application; By Device; By Region; By End Users (Logistics, Healthcare, Automotive, Retail, BFSI, Defence, Aerospace, Oil & Gas, Others) Forecast by 2027" published by AllTheResearch, features an analysis of the current and future scenario of the global Artificial Intelligence (AI) in Manufacturing Market. The Global Artificial Intelligence (AI) in Manufacturing Market was valued at USD 2.1 Bn in 2020 and is expected to reach USD 11.5 Bn by 2027, with a growing CAGR of 27.2% during the forecast period. The Artificial Intelligence in manufacturing market is forecasted to grow at a high rate owing to the accelerating innovations in industrial IoT and automation. The manufacturing industry is expected to be among the market leader in the artificial intelligence market. Further, the manufacturing industry is also expected to display the fastest growth during the forecast period due to rapid digital transformation to promote smart solutions in factories, logistics and management.