"Google Cloud Platform is giving AI creators a new, shared, end-to-end environment for teams to test, train, and deploy models called the AI Platform.

Google today also upgraded AutoML, its service for automating the creation of custom AI models, at the Cloud Next conference taking place this week in San Francisco..."

"Enterprises are data-rich and insight-poor as it relates to security for multi-cloud, hybrid infrastructure. Machine learning approaches are relatively well-established for email security, data loss prevention and malware detection. But for infrastructure security, ML is largely untapped, yet it can unlock the data jam and delight SecOps users, if applied correctly.

The 4 Ps

In our analysis, most successful breaches exploit the '4 Ps. in unforeseen ways. You're all too familiar with the usual suspects: (open) Ports, (loose) Privileges, (weak) Passwords and (missing) Patches. The 4 Ps pop up throughout the entire enterprise stack, including the network, storage, databases, virtual and physical servers, containers, cloud services and applications. We expect that ML approaches will hone in on the 4 Ps, learn from patterns thereof and predict potential weaknesses in an enterprise infrastructure..."

"Artificial intelligence efforts lack long-term vision, and it may be a structural problem. Worse yet, the direction of AI -- and future of corporate decision-making -- is now concentrated in a relatively small handful of global companies.

That's the word from author and futurist Amy Webb, who recently shared her concerns with Michael Krigsman, host of CxOTalk. Webb, a professor of strategic foresight at NYU and founder of the Future Today Institute, says AI is being shaped by nine companies, all in the US or China: Alibaba, Amazon, Apple, Baidu, Facebook, Google, IBM, Microsoft, and Tencent. Webb documented the hold these organizations have on AI and other technologies in her recent book, 'The Big Nine: How the Tech Titans and Their Thinking Machines Could Warp Humanity'..."

Video: New AI Hardware And Trends
inside HPC, April 8th, 2019

In this video from the HPC User Forum, Alex Norton from Hyperion Research presents: New AI Hardware and Trends.

"This presentation will highlight some of the trends in emerging technologies associated with the AI ecosystem.

  • Much of the information in this presentation is broad trends of the overall market in terms of the emerging technology trends.

  • There will also be a few highlights of interesting technologies being produced and incorporated into the ecosystem


"What we've known for a while is that edge computing - sometimes called IoT - will be everywhere, and part of most corporate strategies. Mobile phones and other smart devices and sensors have transformed industries, from top to bottom.

But the emergence of AI has been surprising in its power to accelerate what is happening on the edge. Machine learning and deep learning have combined with increased computing power to make edge devices extraordinarily smart - and getting smarter all the time..."

"One of the hottest areas of technology today, machine learning promises to have a profound impact on our world and the way we live. Perhaps most exciting is the fact that we have reached the point where it is much more than just hype, as evidenced by the massive amount of investment from the corporate world in talent and resources dedicated to this space.

Usually described as a subset of artificial intelligence, machine learning involves computers using large amounts of data to teach themselves and improve their performance of certain tasks. Already, we are seeing machine learning applied in a variety of areas, from transportation to healthcare, retail and cybersecurity, among others..."

"We've been keeping tabs on the automation trend, from the 'robots-are-stealing jobs' story to the rise in interest in robotic process automation (RPA), which, in a surprise upset, is becoming one of the biggest AI and tech trends across industries. (Honestly, we thought it was going to be the John Legend thing.)

RPA has been around for a while. Traditionally, it's referred to automating discrete tasks, such as book-keeping, data entry, inventory management, invoice and contract management, IT services like software deployment, and so on. But now AI is being infused, allowing not only automation but intelligent decision-making on top, thus the new moniker: 'Intelligent' RPA..."

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