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Why Google needs to make machine learning its growth fuel

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These and many other fascinating insights are from CB Insight's report, Google Strategy Teardown (PDF, 49 pp., opt-in). The report explores how Alphabet, Google's parent company is relying on Artificial Intelligence (AI) and machine learning to capture new streams of revenue in enterprise cloud computing and services. Also, the report looks at how Alphabet can combine search, AI, and machine learning to revolutionise logistics, healthcare, and transportation. It's a thorough teardown of Google's potential acquisitions, strategic investments, and partnerships needed to maintain search dominance while driving revenue from new markets. CB Insights found Google is experiencing rising TAC in their core ad and search businesses.


AI-powered service marketplace raises $17 million to "disrupt the classifieds market"

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YouDo.com, a platform that matches people requesting and providing day-to-day services, has raised $17 million in an equity funding round led by mobile operator MTS, as reported by the business daily Kommersant. MTS put $12 million on the table, while undisclosed amounts were brought by the other investors, namely Sistema Venture Capital (a one of the venture instruments of Sistema, a conglomerate that controls MTS), Flint Capital and United Capital Partners (UCP), as well as individual investors Sergey Solonin and Alexander Kabakov. The funding will support the company's "geographic expansion," launch of new service categories, marketing campaign and further service automation. Virtually unknown outside Russia, YouDo.com has a strong traction on the local market. The site presents itself to users in a very simple way, as a place to solve all manner of practical problems -- from computer repair to translations to housekeeping, and thousands of other fields of activities.


Artificial Intelligence Edge Device Shipments to Reach 2.6 Billion Units Annually by 2025

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Artificial intelligence (AI) processing today is mostly done in a cloud-based data center. The majority of AI processing is dominated by training of deep learning models, which requires heavy compute capacity. In the last 6 years, the industry has experienced a 300,000X growth in compute requirements, with graphics processing units (GPUs) providing most of that horsepower. According to a new report from Tractica, however, as the diversity of AI applications grows, an increasing amount of AI processing will be handled within edge devices rather than in a centralized, cloud-based environment. Tractica forecasts that AI edge device shipments will increase from 161.4 million units in 2018 to 2.6 billion units worldwide annually by 2025.


Neo4j 3.5 Poised to Power the Next Generation of AI & Machine Learning Systems

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Neo4j, the market leader in connected data, announced today the upcoming release of Neo4j 3.5, the native graph platform designed to drive the success and adoption of real-time business applications, including artificial intelligence (AI) and machine learning (ML) systems. Neo4j customers – including eBay and Caterpillar – have demonstrated that connected graph datasets are a foundational element of enterprise AI applications. Graph-based data models provide the necessary context for AI applications by capturing facts related to and relationships among people, processes, applications, data and machines. Informed by successful AI customer deployments – including knowledge graphs, fraud detection, recommendation systems and conversation engines – Neo4j 3.5 delivers foundational features for AI-powered systems of connection to generate bottom-line business value. "The way we organize and represent knowledge in AI-powered systems has a profound effect on what and how they can learn," said Bowles.


The Global Machine Learning Chip Market (2018-2025) - CAGR to Grow at 40.8% - Analysis by Chip Type Technology and Industry Vertical - ResearchAndMarkets.com

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According to the report, the global machine learning chip market was valued at $2,425.6 million in 2017, and is projected to reach $37,849.8 million by 2025, registering a CAGR of 40.8% from 2018 to 2025. The trend in artificial intelligence (AI), use of machine learning in numerous applications and emergence of quantum computing are the factors which increase the demand for machine learning chip market. In addition, the development of autonomous robots that can control themselves without human intervention is anticipated to provide potential growth opportunities for the market. However, dearth of skilled workforce and AI phobia are the major restraints of the market. Moreover, increase in demand for smart homes & cities, rise in efforts to make more human-like robots and popularity of IoT across the globe are expected to create tremendous opportunities for the market expansion.


Imanis Data Unveils Industry-First Autonomous, Machine Learning-Powered Backup with Launch of SmartPoliciesTM

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WIRE)--Imanis Data, the leader in enterprise data management powered by machine learning, today announced a major upgrade to the Imanis Data Management Platform, continuing the company's momentum since raising $13.5 million Series B funding earlier this year. The new Version 4.0 includes multiple industry firsts including autonomous backup, any-point-in-time recovery for multiple NoSQL databases, enhanced ransomware prevention, as well as numerous Imanis Data management enhancements. Hadoop and NoSQL applications are running in virtually every enterprise on-premises and in the cloud, but they lack enterprise data management capabilities, exposing organizations to data loss, downtime, and cyberattacks. "According to our research, 78% of organizations currently use NoSQL databases and an additional 18% plan to in the future," said Christophe Bertrand, senior analyst for data protection, at ESG Research. "The data protection market in this space is underserved by traditional vendors and Imanis Data with their unique machine learning approach is setting the bar for Hadoop and NoSQL enterprise data management."


A.I. May Have Written This Article. But Is That Such a Bad Thing?

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Did AI write this article?Depositphotos enhanced by CogWorld Imagine how productive Woodward and Bernstein might have been if only they had robots to write their articles for the Washington Post. With a little A.I. on their side, they might have taken down Nixon in days instead of years. "A lot of people don't realize this, but a lot of the news stories you read now are increasingly written by artificial intelligence," said Stephen Ibaraki, social entrepreneur, futurist and chair at REDDS Capital in an interview for my upcoming book, Uber Yourself Before You Get Kodaked: A Modern Primer on A.I. for the Modern Business, co-authored by Michael Ashley. "You get these news releases about things that are happening in sports, for example, or in business. But people are not creating these pieces anymore.


Are you ready to embrace the cognitive organisation? -

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Digital transformation is a process that has been underway for some time. It is a wide-ranging overhaul of the way organisations do business both internally and externally. It includes changes to technology and culture from users to developers, operations teams to the C-Suite. On the technology side, organisations have taken advantage of APIs to integrate with suppliers and key customers. This removes paper from the workflow reducing both delays in entering data and the risk of keying errors.


Apple Strategy Teardown: Where the World's Most Valuable Company Is Focusing In Augmented Reality, Wearables, AI, Cars, And More

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The maverick of personal computing is looking for its next big thing in spaces like healthcare, AR, and autonomous cars, all while keeping its lead in consumer hardware. With an uphill battle in AI, slowing growth in smartphones, and its fingers in so many pies, can Apple reinvent itself for a third time? Get the detailed analysis on Apple's trove of patents, acquisitions, earnings calls, recent product releases, and organizational structure. In many ways, Apple remains a company made in the image of Steve Jobs: iconoclastic and fiercely product focused. But today, Apple is at a crossroads. Under CEO Tim Cook, Apple's ability to seize on emerging technology raises many new questions. Looking for the next wave, Apple is clearly expanding into augmented reality and wearables with the Apple Watch and AirPods wireless headphones. Apple's HomePod speaker system is poised to expand Siri's footprint into the home and serve as a competitor to Amazon's blockbuster Echo device and accompanying virtual assistant Alexa. But the next "big one" -- a success and growth driver on the scale of the iPhone -- has not yet been determined. Will it be augmented reality, auto, wearables? Apple is famously secretive, and a cloud of hearsay and gossip surrounds the company's every move. Apple is believed to be working on augmented reality headsets, connected car software, transformative healthcare devices and apps, as well as smart home tech, and new machine learning applications. We dug through Apple's trove of patents, acquisitions, earnings calls, recent product releases, and organizational structure for concrete hints at how the company will approach its next self-reinvention. Given Apple's size and prominence, we won't be covering every aspect of its business or rehashing old news. There's strong evidence Apple is once again actively "cannibalizing itself," putting massive resources behind consumer tech that will render its own iPhone obsolete.


A.I. May Have Written This Article. But Is That Such a Bad Thing?

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Did AI write this article?Depositphotos enhanced by CogWorld Imagine how productive Woodward and Bernstein might have been if only they had robots to write their articles for the The Washington Post. With a little A.I. on their side, they might have taken down Nixon in days instead of years. "A lot of people don't realize this, but a lot of the news stories you read now are increasingly written by artificial intelligence," said Stephen Ibaraki, social entrepreneur, futurist and chair at REDDS Capital in an interview for my upcoming book, Uber Yourself Before You Get Kodaked: A Modern Primer on A.I. for the Modern Business, co-authored by Michael Ashley. "You get these news releases about things that are happening in sports, for example, or in business. But people are not creating these pieces anymore.