WIRE)--Bidgely today introduced the latest version of its UtilityAI Platform for delivering a personalized energy experience to utility customers as well as operational efficiencies for global utilities. As the energy industry's only artificial intelligence (AI) platform for hyper-personalization, Bidgely has developed the world's most accurate and actionable customer energy insights based on actual energy habits that are continuously improved and personalized with each interaction. To highlight the impacts of AI in 2019 and in the years to come, global utilities and energy retailers including NiSource, VSE-RWE, Hydro Ottawa and Origin Energy join Navigant Research and Smart Energy Consumer Collaborative in the video How AI Will Change the Utility Industry. "2019 has been a breakout year for UtilityAI," said Bidgely CEO Abhay Gupta. "Our AI-powered hyper-personalization for utilities is powered by actual insights gained from real world deployments, i.e. 15M homes from 30 utility partners in 15 countries. We continue to expand the Bidgely UtilityAI ecosystem with multiple, global customer engagements in key industry categories. This broadening of our solutions and deepening of each offering is only accelerating as our AI and machine learning algorithms become more powerful and reveal new value to be gained throughout an entire utility's operations."

The "Innovations in Artificial Intelligence, Natural Language Processing, IoT, and Analytics" report has been added to ResearchAndMarkets.com's offering. This edition of IT, Computing and Communications (ITCC) TechVision Opportunity Engine (TOE) provides a snapshot of the emerging ICT led innovations in artificial intelligence, machine learning, natural language processing (NLP), and advanced analytics. This issue focuses on the application of information and communication technologies in alleviating the challenges faced across industry sectors in areas such as retail, BFSI, manufacturing, supply chain and industrial sectors. ITCC TOE's mission is to investigate emerging wireless communication and computing technology areas including 3G, 4G, Wi-Fi, Bluetooth, Big Data, cloud computing, augmented reality, virtual reality, artificial intelligence, virtualization and the Internet of Things and their new applications; unearth new products and service offerings; highlight trends in the wireless networking, data management and computing spaces; provide updates on technology funding; evaluate intellectual property; follow technology transfer and solution deployment/integration; track development of standards and software; and report on legislative and policy issues and many more. The Information & Communication Technology cluster provides global industry analysis, technology competitive analysis, and insights into game-changing technologies in the wireless communication and computing space.

Palo Alto, Calif., April 16, 2019 – Hazelcast, the leading in-memory computing platform company, today announced the general availability of Hazelcast Jet, the only streaming engine with no external system dependencies. The result is the industry's fastest stream processing engine that dramatically simplifies implementation from the smallest to largest deployments. Whether deployed in constrained environments, such as IoT sensors, or cloud-scale applications, Hazelcast Jet ingests, categorizes and processes vast amounts of data with ultra-low latency to support continuous intelligence practices. "SigmaStream specializes in high-frequency data and works with some of the world's largest companies that operate in the most constrained environments. By integrating Hazelcast Jet's high-performance streaming engine with our Hummingbird visualization and processing platform, we process high-frequency data from dozens of channels and address inefficiencies in real-time," said Hari Koduru, CEO of SigmaStream.

The global artificial intelligence (AI) chips market is expected to post a CAGR of around 39% during the period 2019-2023, according to the latest market research report by Technavio. This press release features multimedia. Technavio has announced its latest market research report titled global artificial intelligence (AI) chips market 2019-2023. The generation of massive amounts of data in data centers has necessitated the need for more power than what is offered by CPUs. This is compelling data center operators to increase the use of AI technology to improve uptime and reduce operational costs and enhance energy efficiency, infrastructure management, server optimization, security, and others.

The 2019 edition of Opus Research's Decision Makers' Guide to Enterprise Intelligent Assistants report determined [24]7 AIVA to be a top solution for enterprises, and the only virtual agent solution capable of delivering across a breadth of simple FAQs to complex, conversational issues to online transactions. The Opus report presents a comprehensive assessment of 16 enterprise-grade Intelligent Assistant solution providers, with a focus on natural language processing, machine learning, AI, analytics and customer management integration to power digital self-service solutions. The report highlights [24]7 AIVA's ability to support both voice and digital channels and deliver unified self-service, calling out the company's differentiators as being a unique blend of AI and human insights, two decades of unparalleled experience in customer journeys across all channels, and proprietary insights including more than 150 patents and patent applications. "We analyzed a short-list of the leading providers in natural language processing, machine learning, AI and analytics to develop the industry's most comprehensive assessment of today's virtual agents and digital self-service solutions," said Dan Miller, lead analyst, Opus Research. An agent can take over a bot conversation at any time, and hand the conversation back to the bot to complete the interactions.

CHICAGO & LONDON--(BUSINESS WIRE)--Artificial Intelligence (AI) is widely expected to drive important benefits across the health system, from increasing efficiency to improving patient outcomes, but it also may be key to making healthcare more human. Benefits range from increasing the amount of time clinicians can spend with patients and on cross-care team collaboration to enhancing the ability to deliver preventative care. According to a new study of more than 900 healthcare professionals in the U.S. and U.K. conducted by MIT Technology Review Insights with GE Healthcare, nearly half of medical professionals surveyed said AI is already increasing their ability to spend time with and provide care to patients. Additionally, more than 78 percent of healthcare business leaders who reported they have deployed AI in their operations also reported that AI has helped drive workflow improvements, streamlining operational and administrative activities and delivering significant efficiencies toward transforming the future of healthcare. "Of any industry, AI could have the most profound benefits on human lives if we can effectively harness it across the healthcare system," said Kieran Murphy, President and CEO, GE Healthcare.

Samsung Electronics has partnered up with Baidu to produce its new cloud-to-edge artificial intelligence (AI) chip, Kunlun, with mass production slated for early next year, the companies announced. It is the first such partnership between the South Korean tech giant and Chinese search behemoth. Kunlun will be built on Baidu's own XPU neural processor architecture for cloud, edge, and AI and will be made with Samsung's 14nm process. The South Korean company will also make the chips using its I-CubeTM, or interposed-cube, package solution. I-Cube integrates a System-on-a-Chip (SoC) and a High Bandwidth Memory (HBM) onto a silicon interposer to create a single package to increase electrical transference.

Intel Corporation this week announced that it has acquired Habana Labs for approximately $2 billion. Habana is an Israel-based company that develops programmable deep learning accelerators for the data centre. This acquisition is aimed at strengthening Intel's artificial intelligence portfolio and accelerate its efforts in the AI silicon market, which Intel expects to be greater than $25 billion by 2024. "This acquisition advances our AI strategy, which is to provide customers with solutions to fit every performance need – from the intelligent edge to the data centre," said Navin Shenoy, executive VP at Intel, in a press release. In July, Habana announced its Gaudi AI training processor, which the Tel Aviv startup promised was capable of beating GPU-based systems by 4x.

Hankook Tire showed "tangible results" in its efforts to develop a Virtual Compound Design (VCD) system, a predictive model for tire compound properties using artificial intelligence, the company said. VCD system uses technology that predicts the characteristics of compounds and draws the most optimal combination of the materials through artificial intelligence analysis, which is based on accumulated data without actual testing during the tire compound development. Generally, it takes six months to three years to develop a new compound, but this period is expected to be reduced by 50% if artificial intelligence is used, Hankook says. The new development system operates within the cloud platform by creating a "Digital Twin," a twin of real-life objects, repeating the process of reflecting results derived from virtual simulations into reality and affecting each other over reality and virtual reality to find improved results, Hankook says. After Hankook signed an agreement with Korea Advanced Institute of Science and Technology (KAIST) early this year on research on future technologies, cooperation was undertaken on the project.

SAN FRANCISCO, Dec. 17, 2019 (GLOBE NEWSWIRE) -- Holberton School, the two-year tuition-deferred college alternative educating the next generation of digital workers, announced the launch of their brand new Machine Learning curriculum which will be available at all eight world-wide Holberton campuses. The announcement was made at the flagship San Francisco campus featuring Grammy award-winner NE-YO, Black Girls Code founder and CEO Kimberly Bryant and representatives from Google (Tensorflow) and IBM. "Machine Learning, and by extension Artificial Intelligence, are increasingly dominating how we interact with technology at all levels, and the need for diversity has never been so urgent," said Gabriela de Queiroz, founder, AI Inclusive and R-Ladies. "Having programming skills isn't enough -- we need people who are aware of the ethical implications of AI, who can bring their diverse backgrounds, experiences, and perspectives to the workplace and incorporate them into the algorithms that will increasingly play a major role in healthcare, safety, and every other element of our lives." Machine Learning, which gives computers the capability to learn without being explicitly programmed, is already in use across the globe and is rapidly supplementing, and even replacing, traditional software development.