press release


New InfiniteIO Platform Reduces Latency and Accelerates Performance for Machine Learning, AI and Analytics

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AUSTIN, Texas--(BUSINESS WIRE)--InfiniteIO, the world's fastest metadata platform to reduce application latency, today announced the new Application Accelerator, which delivers dramatic performance improvements for critical applications by processing file metadata independently from on-premises storage or cloud systems. The new platform provides organizations across industries the lowest possible latency for their mission-critical applications, such as AI/machine learning, HPC and genomics, while minimizing disruption to IT teams. "Bandwidth and I/O challenges have been largely overcome, yet reducing latency remains a significant barrier to improving application performance," said Henry Baltazar, vice president of research at 451 Research. "Metadata requests are a large part of file system latency, making up the vast majority of requests to a storage system or cloud. InfiniteIO's approach to abstracting metadata from file data offers IT managers a nondisruptive way to immediately accelerate application performance."


NVIDIA Announces Scalable GPU-Accelerated Supercomputer in the Microsoft Azure Cloud

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SC19 -- NVIDIA today announced the availability of a new kind of GPU-accelerated supercomputer in the cloud on Microsoft Azure. Built to handle the most demanding AI and high performance computing applications, the largest deployments of Azure's new NDv2 instance rank among the world's fastest supercomputers, offering up to 800 NVIDIA V100 Tensor Core GPUs interconnected on a single Mellanox InfiniBand backend network. It enables customers for the first time to rent an entire AI supercomputer on demand from their desk, and match the capabilities of large-scale, on-premises supercomputers that can take months to deploy. "Until now, access to supercomputers for AI and high performance computing has been reserved for the world's largest businesses and organizations," said Ian Buck, vice president and general manager of Accelerated Computing at NVIDIA. "Microsoft Azure's new offering democratizes AI, giving wide access to an essential tool needed to solve some of the world's biggest challenges."


Adobe's Experience Cloud now incorporates AI and machine learning

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Software giant Adobe announced the release of its new customer service tool called Adobe Experience Platform. The platform gives enterprises greater data governance capabilities, general access to Adobe's Customer Data Platform service, and avenues for more personalized and impactful customer interactions, the company said. Adobe has revamped Adobe Experience Cloud to incorporate its AI and machine learning platform, named Adobe Sensei. The service will help businesses with digital marketing, advertising, analytics, commerce and more. In a release, the company called Adobe Experience"the industry's first open and extensible platform that stitches data across the enterprise," and said it gave organizations the ability to map out the potential customer experience through "customer journey orchestrations."


Investorideas.com Newswire - The AI Eye: Apple (Nasdaq:AAPL) and Salesforce (NYSE: CRM) Launch AI-Powered App, Intel (Nasdaq: INTC) Unveils oneAPI

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Apple (NasdaqGS:AAPL) and Salesforce (NYSE:CRM) have announced the launch of two new apps, including the AI-powered redesigned Salesforce Mobile App with features exclusive to iOS and iPadOS. "With Salesforce Mobile, Salesforce and Apple are empowering sales, service and marketing professionals on the go to deliver game-changing customer experiences, powered by AI. And with Trailhead GO, millions more can now skill up for free, anytime and anywhere, to learn in-demand skills and fill the jobs of today and tomorrow." Intel Corporation (NasdaqGS:INTC) has unveiled oneAPI, "a unified and scalable programming model to harness the power of diverse computing architectures in the era of HPC/AI convergence", and "a general-purpose GPU optimized for HPC/AI acceleration based on the Xe architecture". "HPC and AI workloads demand diverse architectures, ranging from CPUs, general-purpose GPUs and FPGAs, to more specialized deep-learning NNPs, which Intel demonstrated earlier this month. Simplifying our customers' ability to harness the power of diverse computing environments is paramount, and Intel is committed to taking a software-first approach that delivers a unified and scalable abstraction for heterogeneous architectures."


Global Earth Observation Market, Forecast to 2029: New Customers, Artificial Intelligence, and Big Data are Entering Geospatial Markets Covering Multiple Start-ups & New Applications - ResearchAndMarkets.com

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The "Global Earth Observation Market, Forecast to 2029" report has been added to ResearchAndMarkets.com's offering. The earth observation market is currently undergoing multiple technologies and business model disruptions, largely driven by NewSpace participants in the market. Multiple small-satellite operators have entered the market and some of them have already launched their satellites. The research indicated that over 12,000 small-satellites will be launched in the coming decade covering both installation and replenishment phases of multiple constellations. This has resulted in the availability of cheaper satellite imagery data that is also getting updated more frequently.


How Tech Startups Are Implementing Checkout-Free Platforms

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According to a recent study conducted by Forrester Research, waiting in the checkout line is the top complaint among U.S. grocery, mass-merchandise, and convenience store shoppers. Mega-retailer Amazon and a quartet of well-funded retail technology startups -- Zippin, Standard Cognition, Grabango and Trigo -- believe they have the solution to the problem: Checkout-free stores powered by various technologies that enable shoppers to walk into the store, grab what they want off the shelves and just walk out. Autonomous checkout, another term for checkout-free, is becoming one of the hottest areas of retail investment today. It comes as the convenience expectations of today's Amazon-shopping, Grubhub-ordering, Uber-hailing consumers are ever-increasing, and informing their in-real-life (IRL) shopping demands. Brands are responding in kind, delivering digital services aimed at automating mundane tasks -- in this case, the checkout process -- so much so that the result is meant to feel "automagical," according to trend forecasting firm TrendWatching.


Artificial Intelligence in Education System Market 2019: Popular Trends, Growth, Rising Demand & Progressive Technologies To Watch Out For Near Future - Sound On Sound Fest

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The statistical study, the report outlines the Global Artificial Intelligence in Education System Industry including production, cost/profit, supply-demand, and import-export. The total market is further bifurcated into a company, by country, and by various segmentation for the competitive landscape study.


ZoomInfo Acquires Komiko; Integrates AI-Powered Data Platform with GTM Intelligence Solution

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Vancouver, WA: ZoomInfo, the global leader in go-to-market (GTM) intelligence solutions, today announced the acquisition of Seattle-area based technology startup Komiko, whose technology will integrate into the ZoomInfo Powered by DiscoverOrg platform. Designed to accelerate the sales pipeline with valuable analytics, Komiko's AI-powered CRM automation, playbooks, and predictive analytics will be released as ZoomInfo InboxAI. Founded by Microsoft executives Hal Howard and Ami Heitner, Komiko utilizes machine learning and data science to better automate the CRM process. Now as a function of ZoomInfo InboxAI, the technology can capture contact and activity data buried deep in the email inboxes and calendars of sales representatives. That data is then populated within the CRM system of record -- triggering alerts and generating analytics essential to supporting renewals, managing new business pipelines, and giving every organization a 360-degree view of customers, prospects, and partners.


Global Military Artificial Intelligence (AI) and Cybernetics Market: Focus on Platform, Technology, Application and Services - Analysis and Forecast, 2019-2024

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Key Questions Answered in this Report: • What are the trends in the global military artificial intelligence and cybernetics across different regions? Global Military Artificial Intelligence Market Forecast, 2019-2024 The Global Military Artificial Intelligence Market report projects the market to grow at a significant CAGR of 18.66% on the basis of value during the forecast period from 2019 to 2024. North America dominated the global military artificial intelligence market with a share of 48.23% in 2019. North America, including the major countries such as the U.S., is the most prominent region for the military artificial intelligence market. In North America, the U.S. acquired a major market share in 2019 due to the major deployment of counter measures in defense sector in the country.


Wayve raises $20 million to give autonomous cars better AI brains

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Wayve, a U.K.-based startup that's developing artificial intelligence (AI) that teaches cars to drive autonomously using reinforcement learning, simulation, and computer vision, has raised $20 million in a series A round of funding led by Palo Alto venture capital (VC) firm Eclipse Ventures, with participation from Balderton Capital, Compound Ventures, Fly Ventures, and First Minute Capital. Several notable angel investors also participated in the round, including Uber's chief scientist Zoubin Ghahramani and Pieter Abbeel, a UC Berkeley robotics professor and pioneer of deep reinforcement learning. Founded out of Cambridge, U.K., in 2017, Wayve's core premise is that the big breakthrough in self-driving cars will come from better AI brains rather than more sensors or "hand-coded" rules. The company said that it trains its autonomous driving system using simulated environments and then transfers that knowledge into the real world, where it emulates how humans adapt to conditions in real time. Wayve's systems learn from each safety driver intervention to understand why the driver had to intervene, bypassing HD maps, lidar, and other sensors that have become synonymous with the burgeoning autonomous vehicle movement.