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Why digital transformation is now on the CEO's shoulders

#artificialintelligence

Big data, the Internet of Things, and artificial intelligence hold such disruptive power that they have inverted the dynamics of technology leadership. When science and technology meet social and economic systems, you tend to see something akin to what the late Stephen Jay Gould called "punctuated equilibrium" in his description of evolutionary biology. Something that has been stable for a long period is suddenly disrupted radically--and then settles into a new equilibrium.1 1.See Stephen Jay Gould, Punctuated Equilibrium, Cambridge, MA: Harvard University Press, 2007. Gould pointed out that fossil records show that species change does not advance gradually but often massively and disruptively. After the mass extinctions that have occurred several times across evolutionary eras, a minority of species survived and the voids in the ecosystem rapidly filled with massive speciation.


IBM's big quantum push: Samsung, Daimler sign up for 20-qubit test drive

ZDNet

IBM is ready to open the doors to the first customers for its commercial quantum-computing services. Sometimes the most profound solution is to change the entire problem. JPMorgan Chase, Daimler, and Samsung will be among the first group of businesses to gain access to IBM's new 20 quantum bit (qubit) IBM Q quantum system to help uncover commercial, industrial and scientific quantum computing applications. While IBM is playing catchup with artificial-intelligence breakthroughs made by Google, Microsoft, and Amazon, it has taken a lead in the race to build a practical quantum computer thanks to its recently demonstrated prototype 50-qubit processor. The companies joining the IBM Q Network gain access to the 20-qubit system, which is capable of producing qubits with a record 90 microsecond'coherence', the time a single qubit -- representing both 1 and 0 simultaneously -- survives in this state before dissolving into a conventional bit's single state of either 1 or 0. That means 50 qubits can represent more than one thousand trillion values.


The Surprising Truth about Humans and Artificial Intelligence - Greater Phoenix In Business Magazine

#artificialintelligence

Artificial intelligence is not new but, suddenly, everyone seems to be talking about it. We have hit an inflection point with computing power and data that is finally allowing for commercial applications of this technology, and that's what all the excitement is about. It's only going to get faster and better from here on out. Along with talk about the new possibilities, there is also a lot of fear about people possibly losing their job to a robot, or even becoming irrelevant. Despite the wow factor of being able to shout a command at Siri or Alexa and have a task performed, when you get right down to it the tasks they are performing are rudimentary.


The Surprising Truth about Humans and Artificial Intelligence - Greater Phoenix In Business Magazine

#artificialintelligence

Artificial intelligence is not new but, suddenly, everyone seems to be talking about it. We have hit an inflection point with computing power and data that is finally allowing for commercial applications of this technology, and that's what all the excitement is about. It's only going to get faster and better from here on out. Along with talk about the new possibilities, there is also a lot of fear about people possibly losing their job to a robot, or even becoming irrelevant. Despite the wow factor of being able to shout a command at Siri or Alexa and have a task performed, when you get right down to it the tasks they are performing are rudimentary.


AI News: Artificial Intelligence Trends And Leading Stocks Stock News & Stock Market Analysis - IBD

@machinelearnbot

Investors beware: there's plenty buzz around artificial intelligence (AI) as more and more companies say they're using it. In some cases, companies are using older data analytics tools and labeling it as AI for a public relations boost. But identifying companies actually getting material revenue growth from AI can be tricky. X AI uses computer algorithms to replicate the human ability to learn and make predictions. AI software needs computing power to find patterns and make inferences from large quantities of data.


AI News: Artificial Intelligence Trends And Leading Stocks

#artificialintelligence

Investors beware: there's plenty buzz around artificial intelligence (AI) as more and more companies say they're using it. In some cases, companies are using older data analytics tools and labeling it as AI for a public relations boost. But identifying companies actually getting material revenue growth from AI can be tricky. XAutoplay: On Off AI uses computer algorithms to replicate the human ability to learn and make predictions. AI software needs computing power to find patterns and make inferences from large quantities of data.


How Amazon Is Losing The Artificial Intelligence Race

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While many observers consider Amazon.com Inc. (AMZN) to be an unstoppable force that steamrolls the competition wherever it goes, most notably in retail and cloud computing, the fields of machine learning and artificial intelligence (AI) are particularly important areas where it lags, Bloomberg reports. Getting up to speed is vital for Amazon, Bloomberg adds, because the running of AI applications is likely to fuel much of the future growth in cloud computing. Global market intelligence firm International Data Corporation (IDC) projects that sales of software for coding AI applications will increase by 40% through 2021, exceeding $8 billion, and that the growth will be even faster for these products in the cloud, Bloomberg says. Meanwhile, competitors Microsoft Inc. (MSFT) and Alphabet Inc. (GOOGL), the parent of Google, have raced ahead in developing AI applications for their cloud computing clients, per Bloomberg.


Lenovo says AI crucial for enterprise as it announces new tech for training machine-learning systems

ZDNet

Lenovo has announced new hardware and software for firms building machine-learning systems, as the Chinese tech giant double down on AI. Lenovo expects firms will increasingly rely on AI systems to make rapid decisions based on the vast amount of data being generated, predicting will be 44 trillion gigabytes of data will exist by 2020. To serve the fast-growing market, Lenovo today announced new hardware and software for streamlining machine-learning on high-performance computer systems. The ThinkSystem SD530, a two-socket server in a 0.5U rack form factor, is now available with the latest NVIDIA GPU accelerators and Intel Xeon Scalable family CPUs. By including the option of adding NVIDIA's Tesla V100 GPU accelerator, Lenovo is giving businesses the ability to massively boost the performance of AI-related tasks.


Edge, core, and cloud: Where all the workloads go

ZDNet

There is a strange and uneasy tension standing at the base of a wind turbine, amid a power generation farm full of dozens more. The air can seem still even though you can clearly see, and hear, the turbines moving. Indeed, the sound never dies down, although you're standing in precisely the space where you would most expect it to. With all these rotating blades the size of softball fields, it indeed feels and sounds like a place you'd expect to find something called "the edge." There's no methodology for any of the world's power grids to distinguish renewable power, such as wind-generated, from coal-based or hydroelectric power.


The top 10 technology trends for 2018

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Artificial intelligence will continue to dominate technology investments in 2018, along with cloud computing, the Internet of Things and customer-focused applications. In their new report, "The Top 10 Technology Trends to Watch: 2018 To 2020 - Ten Trends Will Help You Maximize the Value of Business Technology," Forrester Research analysts Brian Hopkins, Bobby Cameron, Ted Schadler and Rusty Warner offer their picks on the technology and business trends that will most shape the IT landscape. "The growth of IoT aspirations and technologies has led to a host of technology innovations in edge devices, such as gateway servers, microdata centers, cloudlets, fog fabric nodes, intelligent routers and device firmware," the authors write. "Firms in the vanguard of this trend will engage customers more quickly and squeeze new efficiencies out of processes. Exploiting computing power on the edge will give them an actual edge.