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Software Ate The World, Now AI Is Eating Software

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Marc Andreessen famously said that "Software is eating the world" and everyone gushed into the room. This was as much a writing on the wall for many traditional enterprises as it was wonderful news for the software industry. Still no one actually understood what he meant. "Today, the world's largest bookseller, Amazon, is a software company -- its core capability is its amazing software engine for selling virtually everything online, no retail stores necessary. On top of that, while Borders was thrashing in the throes of impending bankruptcy, Amazon rearranged its web site to promote its Kindle digital books over physical books for the first time. Now even the books themselves are software."


Elon Musk will debate Alibaba founder Jack Ma at an artificial intelligence conference

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The chief executive is headed to an artificial intelligence conference in Shanghai that kicks off on Thursday where he's set to face-off with Alibaba founder Jack Ma in what Bloomberg reports to be a "free-wheeling debate." "Conference-goers can look forward to featured speakers shedding light on the status quo of the industry and the potential impacts of artificial intelligence," a press release distributed by conference organizers says. Both leaders have been outspoken in their views on AI. Musk, who counts an AI company among his diverse portfolio of bets, has stressed the dangers of the nascent technology. "I'm really quite close, very close to the cutting edge in AI. It scares the hell out of me," Musk said at SXSW in 2018.


Machine Learning Market Opportunity, Demand, recent trends, Major Driving Factors and Business Growth Strategies 2026 - ScoopJunction

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Global Machine Learning Market was valued US$ 2.5 Bn in 2017 and is expected to reach US$ 12.3 Bn by 2026, at a CAGR of 22.4 % during forecast period. Global Machine learning Market includes a complete range of services, solutions and techniques interconnected closely to artificial intelligence, which is performing statistical analysis of input data to recognize its current and future relationship and performance. Machine learning is making use of huge amount of input data to deliver better analytical output while enhancing workflow for different industry verticals, Machine learning is incorporating variety of services which offers machine learning tools by cloud computing services. Global machine learning market is influenced by numerous factors which includes growth in demand for improved application areas, development associated with artificial intelligence & cognitive computing market, lack of trained professionals, and effect of developing economies. All these factors are collectively creating opportunities for market growth, each factor is expected to have its certain impact on the machine learning market share. Increasing automation and advanced technology are expected to boost the market growth during the forecast period.


How banking is using artificial intelligence to pick up financial distress

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And there are few fields where AI is driving innovation as quickly as in the thriving fintech sector, an area in which Scotland is rapidly building a world class reputation. Financial institutions of all sizes are developing and implementing advanced AI systems designed to pick up and prevent financial distress among customers. This includes the likes of Royal Bank of Scotland, which recently opened a research unit dedicated to solving real-world problems with data-driven innovation. In its broadest definition, AI has been with us since the advent of machine learning in the 1950s. But today's tech, based around systems capable of not just holding data but understanding and interpreting it intelligently, opens up a world of possibilities. There are two main reasons why AI is now coming to the fore, explains Stephen Ingledew of FinTech Scotland: "The first is the power of technology to manage a huge amount of data and understand it.


The growth economics of artificial intelligence

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Artificial intelligence (AI) promises impelling potential for the growth of society and economy in today's times. As India is moving on the trajectory of digital transformation, the growing penetration of digital technologies in the lives of Indians and the generation of huge volumes of data at every interaction point projects a germane use-case for an AI-driven economy. However, for making the ocean of data points work in synergy to transform India as the AI leader, we require the power of AI to address the complex challenges that the country is facing across its demographic diversity. According to an Accenture report published in December 2017, AI alone can add $957 billion, or 15% of the current gross value added, to the Indian economy by 2035. The economic value can be unlocked primarily through three ways: augmentation delivered through human and machine collaboration, intelligent automation and productivity that comprise $597 billion, $83 billion and $277 billion, respectively.


National Science Foundation Awards Litterati Grant to Advance its AI for a Cleaner Planet

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The funds will go towards building out Litterati's taxonomy which currently applies a COMB framework - Category soda / Object can / Material aluminum / Brand Coke. This system is the foundation for a smarter tagging system, where machine learning is applied to the images, presenting a list of tags with increasing precision. By building a more granular database, Litterati can derive more specific insights about the types of litter seen in various communities.



futureofwork _2019-08-28_06-11-51.xlsx

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The graph represents a network of 3,948 Twitter users whose tweets in the requested range contained "futureofwork ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 28 August 2019 at 13:13 UTC. The requested start date was Tuesday, 27 August 2019 at 00:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 5,000. The tweets in the network were tweeted over the 2-day, 1-hour, 37-minute period from Saturday, 24 August 2019 at 22:22 UTC to Tuesday, 27 August 2019 at 00:00 UTC.


Self-Driving Companies Are Coming โ€“ MIT Sloan Management Review

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Automation can go far beyond cars. Self-driving company capabilities are closer than we realize. Every day we hear more about how self-driving vehicles will change our lives. Automotive innovators such as Tesla and Waymo have been working to advance this capability for years while legacy companies, including GM and Ford, have more recently joined the chase. Self-driving cars are now shuttling around riders -- although still with human overseers -- in Las Vegas, Boston, and Detroit, among other cities.


Tesla's Elon Musk debated Alibaba's Jack Ma in China. The audience was spellbound

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Elon Musk and Jack Ma matched wits publicly for the first time. And boy, they didn't disappoint. An onstage debate between China's richest man and the Tesla Inc. boss left a largely Chinese audience both awestruck and dumbfounded as the pair sparred over everything from the existence of aliens to the preservation of human consciousness. Musk, alternating between tech visionary and larger-than-life Bond villain, argued that AI will soon surpass the human race; that civilization may end and hence humankind needed to explore the cosmos (specifically Mars); and that people are essentially dumb creatures circumscribed by genes. But Musk, who appeared discombobulated at times following a late trans-Pacific flight, met his match in a fellow billionaire who parried him at every turn.