ANSYS, with its Twin Builder software, has teamed with Microsoft, and its Azure public cloud Digital Twins Platform, on a joint product strategy to take on the rapidly emerging digital twins market, which Gartner last year called a top 10 technology trend for 2019. Digital twins software constructs a virtual, multi-dimensional representations of a physical ...Full article
Intel continues to expand its push into AI silicon with the acquisition of Israeli-based Habana Labs, a specialist in deep learning accelerators for datacenters—a capability Intel hopes to extend to the network edge. The acquisition announced by Intel on Monday (Dec. 16) is valued at about $2 billion. Additional terms of the purchase were not ...Full article
While developers are moving up the machine-learning learning curve, a vendor survey finds they still have a way to go in scaling ML deployments. Algorithmia’s annual survey of the state of enterprise machine learning technology released on Thursday (Dec. 12) did find an uptick in machine learning deployments over the past year. A modest 22 ...Full article
Change within Intel’s upper management – and to its company mission – has continued as a published report has disclosed that chip technology heavyweight Gary Patton, GlobalFoundries’ CTO and R&D SVP as well as former IBM VP of semiconductor R&D, has joined Intel as corporate VP and GM of design enablement. He will report to ...Full article
Cisco Systems unveiled its networking framework of the future this week aimed at scaling internet performance for emerging enterprise workloads like AI and machine learning along with network routers for Internet of Things and other 5G-driven applications and services. The networking giant (NASDAQ: CSCO) announced a programmable silicon architecture as the foundation of a framework ...Full article
A wholesale shift is underway to agile IT microservices as enterprises look to stay a step ahead of emerging business models along with the distributed applications and services that are driving a broad-based digital transformation. A key to that transition is adoption of AI technologies and the deployment of machine learning tools in the workplace. ...Full article
Designed to push the frontiers of computing chip and systems performance optimized for AI workloads, an 8 petaflop IBM Power9-based supercomputer has been unveiled in upstate New York that will be used by IBM data and computer scientists, by academic researchers and by industrial and commercial end-users. Installed at the Rensselaer Polytechnic Institute Center for ...Full article
In this monthly feature, we'll keep you up to date on the latest career developments in the enterprise A.I. community -- promotions, new hires, and accolades. Here's the A.I. career news for early December: Ari Berman BioTeam, Inc. promoted Ari Berman to chief executive officer. In his new role, Berman will expand the company's reach ...Full article
An infrastructure vendor zeroing in on AI and machine learning workloads has added GPU support to a Kubernetes-based appliance designed to handle those emerging applications in containers while adding GPU horsepower to scale in-house workloads to the cloud. Diamanti, a five-year-old startup that recently closed a $35 million funding round, unveiled this week what it ...Full article
Hype happens like a virus: We’re suddenly jammed into our seats and told to watch a new movie. Then afterward — often as soon as the lights go up — we become ourselves again and the virus is gone. Most of the time, hype is harmless: We’ve wasted time and a few dollars, but we’ll ...Full article
Pausing at the end of 2019 to take stock of where enterprise AI stands, a new business model floated over the last year encourages distributed model training through the sharing of data. Depending on the project, the critical question raised by the emerging AI model dubbed “federated learning” is whether corporate rivals would ever be ...Full article
Open source software development is thriving, but a growing number of developers worry that momentum cannot be sustained as large corporations continue snapping up startups that helped fuel the movement. A report released this week also revealed concerns about a lack of diversity within the open source community. While an annual survey on the state ...Full article
AWS, Azure, Google Cloud, IBM Cloud, Oracle – they’ll all vying to become the dominant force of gravity in the public cloud services market, and among the most fiercely fought over areas of cloud leadership is AI/machine learning enablement. Given that AI’s TAM is roughly ∞* and that the FAANGs are out ahead of everyone ...Full article
Datacenter construction is booming in the second half of 2019 as cloud providers and co-location service providers embrace common platforms that scale to accommodate data-driven applications and services. IHS Markit reports that 9.9 million square feet of datacenter capacity is currently under construction and is expected to come online by the end of the year. ...Full article
Medical applications are emerging as an attractive market for AI developers pitching machine learning solutions that reduce time spent on administrative tasks by physicians while also meeting strict regulatory requirements for patient privacy. This week, for example, Nvidia (NASDAQ: NVDA) added a secure learning tool to its Clara AI platform aimed at medical imaging. Amazon followed ...Full article
The “x86 Big Bang,” in which market dominance of the venerable Intel CPU has exploded into fragments of processor options suited to varying workloads, has now encompassed CPUs offered by the leading public cloud services provider, AWS, which today announced it has further invested in its Graviton Arm-based chip for general purpose, scale-out workloads, including ...Full article
Ali Ghodsi might have one of the best jobs in technology right now. As the CEO of Databricks, Ghodsi just completed an oversubscribed $400 million round of funding that gave the company a $6.2 billion valuation. Better still, Ghodsi never once had to break out the pitch stick. “It was the easiest fund raise I’ve ...Full article
Successfully operationalizing machine learning models in production environments can be incredibly difficult, as the industry has already seen. In fact, Gartner has predicted 85 percent of AI projects in the next few years will fail to produce results. So how do you set your AI projects up for success? ML implementation requires a unique approach ...Full article
AI technologies incorporated into diagnostic imaging tools have proven useful in eliminating confirmation bias, often outperforming human clinicians who may bring their own prejudices. Another issue slowing progress is the need for machine learning frameworks that can access patient data without violating strict privacy regulations. Hence, chip vendors such as Nvidia have promoted new AI-powered ...Full article
“One of the things we are witnessing is the compute requirement for (AI) training jobs is doubling every three-and-a-half months. So we were very impressed with Moore’s Law doubling every 18 months, right? This thing is doubling every three and a half months. Obviously, it’s unsustainable. If we keep at that rate for sustained periods ...Full article
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Alex WoodieEditorial Director
Jaime HamptonManaging Editor
Ali AzharContributing Editor
Drew JollyContributing Editor
