Results


Machine Learning: Global Markets to 2022

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Report Scope: In this report, the market has been segmented based on type, deployment, organization size, end-user industries, and geography.The report covers the overview of the global market for machine learning and analyses the market trends, considering the base year of 2016 and estimates for 2017 to 2022. Revenue forecasts from 2017 to 2022 for segmentation based on deployment, organization size, end-user industries, and geography have been estimated with values derived from solutions and service providers' total revenues. The report also includes a section on the major players in the market.Further, it explains the major drivers, competitive landscape, and current trends in the machine learning market. The report concludes with an analysis of the machine learning vendor landscape and includes detailed profiles of the major players in the global machine learning market. Report Includes: - 45 data tables and 32 additional tables - An overview of the global market for machine learning - Analyses of global market trends, with data from 2016 and 2017, and projections of compound annual growth rates (CAGRs) through 2022 - Identification of segments with high growth potential and their future applications - Explanation of major drivers and regional dynamics of the market and current trends within the industry - Detailed profiles of major vendors in the market, including Amazon.com Inc., Alphabet Inc., Baidu Inc., Intel Corp. and Hewlett Packard Enterprise Company Summary Machine learning is one of the fastest growing areas of computer science, with a wide range of applications.Machine learning is an application of artificial intelligence (AI) that provides systems with the ability to automatically learn and improve from experience without being explicitly programmed.


Marsh to Power Next-Gen Insurance Products and Distribution Channels with Launch of Marsh Digital Labs Markets Insider

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Marsh, a global leader in insurance broking and innovative risk management solutions, announced today the launch of Marsh Digital Labs within its broader Digital, Data, and Analytics organization. Marsh Digital Labs will act as an incubator focused on experimenting in emerging technologies and developing innovative products, new business models, and strategic engagements with clients, carriers, and insurtech companies. "We see artificial intelligence, blockchain, the Internet of Things, and other emerging technologies as a transformative opportunity to drive client value," said Sastry Durvasula, chief digital officer and chief data and analytics officer, Marsh. "With Marsh Digital Labs we are providing a hands-on opportunity to collaborate with clients on new ecosystems, innovative use cases, and distribution channels that will better help them manage risk and succeed in the new economy." Based in San Francisco, California, Marsh Digital Labs is currently exploring new products in the small commercial and consumer business, cyber, sharing/gig economy, autonomous vehicle, and workers' compensation sectors.


Cryptics Introduces The World's First AI-Based Trading Solution - Cryptics

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Bitcoin Press Release: Blockchain-based startup Cryptics has announced the launch of the world's first public cryptocurrency analytics based on AI technology. April 10th, 2018, Tallinn, Estonia – The crypto market is still relatively new and lacks many of the traditional institutions of a civilized market. There is a lack of regulation and the volatility factor is detracting a vast majority of classical investors from investing in the new market. Traders are also approaching the market cautiously as the there is a lack of classical application of trading instruments. Despite these issues there are blockchain projects on the market that seek to indemnify or mitigate the associated risks that investors take when deciding to invest in projects.


Fifield launches 5G paper, 'confident' on NBN HFC optimisation

ZDNet

Australian Communications Minister Mitch Fifield has announced the launch of a new Bureau of Communications and Arts Research paper on 5G. Speaking during the CommsDay Summit in Sydney on Monday morning, Fifield said the paper is the next phase of the work being done by the government's 5G Working Group on the impact of 5G on agriculture, health, and autonomous vehicles. "Today, further to this work, I'm pleased to release a new paper that examines the potential impact of 5G on productivity and economic growth," Fifield said. "The Bureau of Communications Research paper was one of the first items considered by the working group when it met earlier this year." Impacts of 5G on productivity and economic growth: April 2018 Working paper [PDF] estimates that 5G will improve multifactor productivity (MFP) by adding between AU$1,300 and AU$2,000 in gross domestic product per person within a decade after being rolled out.


How Big Data Can Use Language To Find The Hidden Reason To Sell A Stock

@machinelearnbot

Traders and financial professionals work at the opening bell on the floor of the New York Stock Exchange (NYSE). It's no secret on Wall Street that a "sell" recommendation in sell-side research reports is exceedingly rare, and it can't be chalked up to today's bull market recently surpassing its ninth birthday. According to FactSet data, only 6% of analyst recommendations on S&P 500 companies are "sell" ratings or the equivalent, lending credence to the notion that conflicts of interest persist despite reform efforts to make recommendations more objective in nature. Put simply, negative recommendations can place an analyst in the virtual penalty box when it comes to getting access to companies, and the effects are clear in a business where access is king. So, is there still use to looking through research reports to figure out which stocks are worth buying and selling?


Automotive Artificial Intelligence Market (AI) Growth Forecast at 37.32% CAGR to 2022

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Commenting on the report, an Automotive Artificial Intelligence (AI) Market analyst one trend affecting this market is advent of infotainment systems powered by automotive AI. Automotive AI can be defined as the technological capability of the machine to make logical decisions based on certain parameters without the aid of a human. This report covers the present scenario and the growth prospects of the Global Automotive Artificial Intelligence (AI) Market. To calculate the market size, the report considers the revenue generated from the application of AI, such as human-machine interface, ADAS applications, and autonomous vehicles. Key questions answered in this report - What will the market size be in 2022 and what will the growth rate be? - What are the key market trends?


Artificial Intelligence-Driven Hardware Sales Will Reach $115 Billion Worldwide by 2025

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The race for making perfect hardware to accelerate artificial intelligence (AI) applications is heating up and many companies are jumping in with their products and solutions. Of the three key parts of hardware infrastructure compute, storage, and networking compute has made significant progress in the last couple of years. The other two areas, storage and networking, are lagging behind and have yet to see major innovations pertaining to AI applications. Currently, the industry is going with the fastest available option and promoting that as a solution for deep learning. Over time, more research and development (RandD) will go into these areas and new products will emerge that are designed specifically for AI.The distributed computing infrastructure that allows AI applications to run on multiple machines is in its infancy.


Artificial Intelligence and Blockchain Aim to Turn 1 Billion People into Entrepreneurs by 2040

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Blockchain technology continues to be one of the most exciting emerging technologies in the world today. Individuals, corporations, and even governments are developing means to use this revolutionary tool in advancing their processes. Many experts have come out to say that Blockchain holds the key to the actualization of a number of important technological breakthroughs. Within the haze of excitement and optimism, the core of the discourse surrounding Blockchain tends to center on strengths and weaknesses of the technology. A key figure in the Blockchain and cryptocurrency community is Fabio Zoffi, the President and Executive Chairman of ORS GROUP.


Artificial Intelligence and Blockchain Aim to Turn 1 Billion People into Entrepreneurs by 2040

#artificialintelligence

Blockchain technology continues to be one of the most exciting emerging technologies in the world today. Individuals, corporations, and even governments are developing means to use this revolutionary tool in advancing their processes. Many experts have come out to say that Blockchain holds the key to the actualization of a number of important technological breakthroughs. Within the haze of excitement and optimism, the core of the discourse surrounding Blockchain tends to center on strengths and weaknesses of the technology. A key figure in the Blockchain and cryptocurrency community is Fabio Zoffi, the President and Executive Chairman of ORS GROUP.


Datameer Partners with IBM in New Data Science and Machine Learning Platform

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About Datameer Datameer is changing the way companies do business by enabling them to get value and insights from their data at the speed of thought to make better, more trustworthy decisions and drive better business outcomes. Datameer offers a unified way to simplify the time-consuming, cumbersome process of turning complex, multi-source data into valuable, business-ready information in a matter of minutes and hours, rather than weeks or months. Leading global organizations, including Citibank, Royal Bank of Canada, Aetna, Optum, HSBC, National Instruments, Vivint and more use our secure and scalable enterprise-grade platform to streamline and simplify data integration, preparation and exploration so subject matter experts can leverage trusted data to cultivate innovation, creativity and efficiency for competitive advantage.