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What is Synthetic Intelligence and What Does It Mean for Humanity?

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A merger between humans and machines is coming, and it's not what you may have thought. Something mysterious flickered into reality when our ancestors first learned to extract knowledge from their heads and embed it in tools. Now, millions of years later, our tools are fusing with us and, in so doing, bringing about something that is part biological and part technological. We are incubating this new intelligence in our organizations, but it is also true that it represents an extension of ourselves. Humanity is like a seed in an enigmatic womb made up of artificial intelligence and automation.


Why the 'Just Do Something' Strategy for AI Won't Work

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For all the giant leaps promised by artificial intelligence, when it comes to business, what we've seen so far amounts to just small steps. In fact, a number of very smart people advise companies to start small with AI: Use it to improve your customer service bots, for example, before you try to deploy it to cure cancer. So, yes, that appears to be a sensible approach. But it can also be a dangerous trap. When you think small, notes this week's guest, you get small results.


6 Predictions About Data In 2020 And The Coming Decade

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It's difficult to make predictions, especially about the future. But one fairly safe prediction is that data will continue eating the world in 2020 and the coming decade. The most important tech trend since the 1990s will no doubt accentuate its presence in our lives, for better or for worse. At the beginning of the last decade, IDC estimated that 1.2 zettabytes (1.2 trillion gigabytes) of new data were created in 2010, up from 0.8 zettabytes the year before. The amount of the newly created data in 2020 was predicted to grow 44X to reach 35 zettabytes (35 trillion gigabytes).


Auto Insurers Can Now Use Smartphones to Reconstruct Crashes

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WIRE)--Cambridge Mobile Telematics (CMT), the world's leading mobile telematics and analytics provider, has launched its latest product line, Claims Studio. Through a lightweight smartphone solution, Claims Studio gives claims adjusters access to robust, unbiased telematics and contextual crash data after an impact occurs. CMT's ability to detect crashes has been in the market since 2015, but now has expanded to support the end-to-end claims process. Claims Studio uses telematics and artificial intelligence to reproduce the true story of a crash, creating a data-driven narrative to accelerate the claims process. By accessing key details like speed, severity, and vehicle impact location early in the process, insurers can spend less time collecting information from drivers and third parties, and more time confirming facts and accurately assessing loss.



Artificial Intelligence in Manufacturing Market 2020 Global Industry Size, Forecasts, Emerging Trends, and Competitive Landscape 2020-2027 – BulletintheNews

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New Jersey, United States –The report on the global Artificial Intelligence in Manufacturing market is a compilation of intelligent, broad research studies that will help players and stakeholders to make informed business decisions in future. It offers specific and reliable recommendations for players to better tackle challenges in the global Artificial Intelligence in Manufacturing market. Furthermore, it comes out as a powerful resource providing up to date and verified information and data on various aspects of the global Artificial Intelligence in Manufacturing market. Readers will be able to gain deeper understanding of the competitive landscape and its future scenarios, crucial dynamics, and leading segments of the global Artificial Intelligence in Manufacturing market. Buyers of the report will have access to accurate PESTLE, SWOT, and other types of analysis on the global Artificial Intelligence in Manufacturing market.


Future of Automotive Artificial Intelligence (AI) Reviewed in a New Study – Citi Blog News

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The Automotive Artificial Intelligence (AI) market is an intrinsic study of the current status of this business vertical and encompasses a brief synopsis about its segmentation. The report is inclusive of a nearly accurate prediction of the market scenario over the forecast period – market size with respect to valuation as sales volume. The study lends focus to the top magnates comprising the competitive landscape of Automotive Artificial Intelligence (AI) market, as well as the geographical areas where the industry extends its horizons, in magnanimous detail. The market report, titled'Global Automotive Artificial Intelligence (AI) Market Research Report 2019 – By Manufacturers, Product Type, Applications, Region and Forecast to 2025′, recently added to the market research repository of details in-depth past and present analytical and statistical data about the global Automotive Artificial Intelligence (AI) market. The report describes the Automotive Artificial Intelligence (AI) market in detail in terms of the economic and regulatory factors that are currently shaping the market's growth trajectory, the regional segmentation of the global Automotive Artificial Intelligence (AI) market, and an analysis of the market's downstream and upstream value and supply chains.


Applying Artificial Intelligence to Provide Rural Communities in Nigeria With Renewable Energy

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Nigeria has a population of 200m people yet only half have access to electricity. Without electricity, there are no computers or the internet. There are no fridges to keep food fresh. There is no electric water pump. There is nowhere to charge a mobile phone.


Here's How Artificial Intelligence for Edge Devices Market Growing by 2029 Arm, Alibaba and Apple

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This research study is anticipated to help the new and existing key players in the market that will help in making current business decisions as well as to sustain in the severe competition of the global artificial intelligence for edge devicesmarket. The artificial intelligence for edge devices market report provides a database which pertains to the current and contemporary discovery and the new technology which has been induced in the artificial intelligence for edge devices market, thereby helping the investors to understand the impact of these on the market future development.


Artificial Intelligence For Healthcare Applications Market Enhancement, Latest Trends, Rising Growth and Opportunity during 2019 to 2025 – Citi Blog News

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The Artificial Intelligence For Healthcare Applications Market recently Published Global Market look into study with in excess of 100 industry enlightening work area and Figures spread through Pages and straightforward itemized TOC on "Artificial Intelligence For Healthcare Applications Market". The report provides information and the advancing business series information in the sector to the exchange. The report gives an idea associated with the advancement of this market development of significant players of this industry. An examination of this Artificial Intelligence For Healthcare Applications relies upon aims, which are of coordinated into market analysis, is incorporated into the reports. The global Artificial Intelligence For Healthcare Applications market is expected to grow at a CAGR of 43.5% from 2018 to reach USD 27.60 billion by 2025. Artificial intelligence (AI) in healthcare is the use of complex algorithms and software to emulate human cognition in the analysis of complicated medical data.