press release


O'Reilly and Intel Announce Speaker Lineup at Artificial Intelligence Conference, San Jose 2019

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BOSTON--(BUSINESS WIRE)--O'Reilly, the premier source for insight-driven learning on technology and business, today announced the lineup of speakers presenting at the O'Reilly Artificial Intelligence Conference, presented with Intel. The event will take place from September 9-12 in San Jose, Calif. at the San Jose McEnery Convention Center. Through detailed case studies, technical sessions and trainings, the AI Conference will offer a unique opportunity to tap into the leading minds in AI and network with thousands of innovative researchers, data scientists, engineers, senior developers and executives across industries. Together, Conference Chairs Ben Lorica (O'Reilly), Julie Shin Choi (Intel) and Roger Chen (Computable Labs), along with Honorary Co-Chairs Tim O'Reilly (O'Reilly) and Peter Norvig (Google), have created a conference program designed to help organizations successfully apply AI from both a business and technical perspective, covering emerging AI techniques and technologies. In advance of the conference, O'Reilly will release a report, "How Organizations are Sharpening their Skills to Better Understand and Use AI," that explores the data- and AI-related topics technology experts are most interested in.


Nexus backed H20.ai raises $72.5 M Series D

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Our partner company H2O.ai announced their $72.5M We are blessed to have been part of H2O's journey from Day one, starting in 2012 when we backed the founders with a bold vision of democratizing AI for everyone, at a time when "AI" was yet to be popular in enterprise-technology vernacular. Over the last few years the company has steadily advanced toward realizing that vision, by building on the foundation of customer centric approach, product-first thinking and community focused bottom-up adoption. H20's efforts have played a pivotal role in making enterprise AI real and mainstream. It has been a pleasure to see H2O.ai grow and become the open source leader in AI and automatic machine learning.


Top 8 Use Cases of Data Science in Retail

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Data Science has become one of the most powerful technologies in the retail sector by providing fact-based and data-driven insights. Data Science technologies help retailers in enhancing their marketing strategies, operations, and financial performance. Retailers today are searching for ways to derive more customer intelligence and operational insights from their overflowing databases which are currently fulfilled by Data Science technologies. Data science plays a vital role in almost all sectors of retail such as assortment, recommendation, Logistics and Supply Chain Management, Demand Forecasting, Price Optimization for products, Predictive Maintenance, Churn prediction, and Data-Driven Product Management. Other products that are bought together with the required products by the customers lead to increase in sales.


Perspecta Labs to Provide Advanced Photonic Edge Artificial Intelligence Compact Hardware Research for DARPA

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Perspecta Inc. announced that its innovative applied research arm, Perspecta Labs, was awarded a prime contract from the U.S. Defense Advanced Research Projects Agency (DARPA) to provide Photonic Edge AI Compact Hardware (PEACH) research under DARPA's Artificial Intelligence (AI) Exploration program. The contract, which represents new work for the company, has a total value of $1 million and work will be performed over 18 months. The goal of the PEACH program is to research and develop novel AI processing architectures in combination with innovative photonic hardware to enable breakthrough AI functionality with significant reduction in hardware complexity, latency and power consumption. Perspecta Labs will create a novel multiple-loop, delay-line reservoir computing architecture, an algorithm for specific emitter identification, and a scalable prototype hardware design in combination with innovative photonic hardware. "Perspecta Labs will draw on its rich portfolio of research and development in AI, photonics, radio frequency (RF) analytics, and systems engineering to deliver this work," said Petros Mouchtaris, Ph.D., president of Perspecta Labs.


Amazon Forecast hits general availability

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The ability to forecast events at scale, given a set of variables, is something most companies would find useful. So Amazon is aiming to make prediction more accessible with a fully managed service called Forecast that uses AI and machine learning to deliver highly accurate forecasts. As Amazon explained in a press release, Forecast -- which is based on the same technology the Seattle company uses to anticipate demand for hundreds of millions of products every day -- can be used to build precise forecasts for virtually any business condition, including product demand and sales, infrastructure requirements, energy needs, and staffing levels. It automatically provisions the necessary cloud infrastructure and processes data, building custom AI models hosted on AWS without requiring an ounce of machine learning experience on the part of developers. Amazon says the API or a console allows the average person to build custom machine learning models in less than five clicks and achieve accuracy levels that would normally take months in as little as a few hours.


NewswireToday Leading Press Releases & Newswire Distribution Service

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Jio, the world's largest mobile data network service provider, and Guavus, a Thales company and the leader in AI-powered analytics for communications service providers, announced a partnership today centered on AI-driven analytics. Guavus' AI-based solutions will provide real-time customer experience analytics, predictive analytics to automate network troubleshooting, and key marketing insights to Jio. As a result, Jio will be able to offer superior service to its customers while addressing critical service operations with intelligent automation. Jio is one of the world's largest and fastest growing data service operators with more than 300 million subscribers. The Indian service provider, which has disrupted the market with its affordable data plans and unlimited calling benefits, has created a completely digital experience for its users ranging from data services on smartphones, to gigabit Internet at home, along with a portfolio of media offerings and IoT devices such as smart speakers and switches for the smart home.


Gartner Says AI Augmentation Will Create $2.9 Trillion of Business Value in 2021

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In 2021, artificial intelligence (AI) augmentation will create $2.9 trillion of business value and 6.2 billion hours of worker productivity globally, according to Gartner, Inc. Gartner defines augmented intelligence as a human-centered partnership model of people and AI working together to enhance cognitive performance. This includes learning, decision making and new experiences. "Augmented intelligence is all about people taking advantage of AI," said Svetlana Sicular, research vice president at Gartner. "As AI technology evolves, the combined human and AI capabilities that augmented intelligence allows will deliver the greatest benefits to enterprises." Gartner's AI business value forecast highlights decision support/augmentation as the largest type of AI by business value-add with the fewest early barriers to adoption (see Figure 1).


Verisim Life uses AI-powered biosimulations to replace animal drug testing

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The global drug discovery market is estimated to be worth at least $35 billion, a figure that could rise to $71 billion by 2025. But taking a drug from research and development to market is a long and resource-intensive process. A large part of this work involves rigorous testing to ensure a drug is not only effective, but safe -- and this unfortunately entails animal testing, whether on monkeys, rats, mice, dogs, or rabbits. Contrary to what some may think, animal testing is not only a pivotal facet of drug development, in most countries it's actually a legal requirement that must be completed before clinical trials on humans can commence. However, animal testing is slow and expensive, with a low success rate -- it's estimated that fewer than 10% of drug candidates tested on animals make it through the pipeline.


Who Is Winning the AI Race: China, the EU or the United States?

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The United States Geological Survey confirmed with the Center for Data Innovation over email on July 22, 2019, that "1-meter DEMs are available or in progress for 45% of the country."


Micro Focus Announces SMAX 2019.05, Latest Release of Industry's Only Modern Cloud-Native Intelligent Service Desk and Asset Management Solution

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SANTA CLARA, CA – Micro Focus (LSE: MCRO; NYSE: MFGP) today announced the general availability of Service Management Automation X (SMAX) 2019.05. SMAX is the first application suite for Enterprise Service Management and IT Service Management built on machine learning and analytics, powered by an embedded CMDB and Discovery to help drive down costs and speed up time to resolution. Built-in best practices are quickly and easily configured and extended in an entirely codeless way with the SMAX Studio enabling customers to achieve faster time to value. The scalable, multi-tenant cloud-native solution delivers significantly lower cost of ownership and enables customers to deploy on their choice of public or private cloud. SMAX is also available as-a-service by Micro Focus partners worldwide.