HPE InfoSight Brings Autonomous DC (i.e. Skynet) Closer
Dec07

HPE InfoSight Brings Autonomous DC (i.e. Skynet) Closer

The upcoming termination of Meg Whitman’s reign is not the only Big Bang due out of Hewlett Packard Enterprise early next year: in January the drastically slimmed-down enterprise IT powerhouse will roll out a 3PAR-enabled artificial intelligence recommendation engine (InfoSight AIRE) that will take HPE closer to the autonomous datacenter, according to company officials. “Infosight is AI for the datacenter,” HPE’s Gavin Cohen, VP, Product and Solutions Marketing, Storage, told IT Trends & Analysis. “That’s something Nimble started building on from the start.” HPE announced the completion of its $1.2 billion acquisition of Nimble Storage in April, and while that significantly beefed up its flash and cloud storage assets, the company said it would be leveraging InfoSight across both its storage and server portfolios. Calling InfoSight the “crown jewels” of the Nimble acquisition, the AI power of the platform provides HPE and its partners with a big competitive advantage against any and all competitors, said Meg’s CEO successor-to-be (as of  February 1) HPE President Antonio Neri. “Nobody has this,” he said in a recent interview. The predictive analytics capabilities are sure to power dramatic reductions in storage total cost of ownership (TCO) for businesses of all sizes, he said. “It delivers the best performance with the best uptime and lowest TCO optimized for the specific workloads that run on the platform. The customer gets the best experience at the lowest cost.” Beyond storage are servers and ultimately the datacenter, and bringing AI and predictive analytics to the datacenter is not only necessary for protecting existing revenue streams, but essential to the autonomous datacenter. While we hopefully won’t get a Skynet, Terminator’s rise (and fall) of the machines, AI in the datacenter is coming quickly. By 2019, 40% of digital transformation initiatives will use AI services; by 2021, 75% of commercial enterprise apps will use AI; and the majority of adopters have seen quantified returns meeting or exceeding expectations. “AI is a positive force for change,” stated Mark Purdy, Managing Director-Economic Research, Accenture Research. “It has the potential to markedly increase growth rates and substantially raise economic output across industries, while helping organizations to more easily rotate to the new way of doing business.” A recent survey found that AI could boost average profitability rates by 38% and lead to an economic increase of $14 trillion by 2035. But all that remains in the future; today, we have AI-powered storage, or at least Nimble, and shortly, 3PAR, and the benefits are equally compelling. The AI and predictive analytics capabilities of InfoSight reduce the time spent troubleshooting issues by up to 85% and help to deliver greater than 99.9999% of guaranteed...

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CA Wants To Be The One (DevSecOps) Throat To Choke
Nov30

CA Wants To Be The One (DevSecOps) Throat To Choke

Whether it’s via a perfect storm, product onslaught or the ‘disrupt or be disrupted’ times, CA Technologies appears to be making steady, if slow, progress from its mainframe roots to the app-fueled digital transformation world where trust, AKA cybersecurity, is essential. Changing a $4-billion company is proving challenging, especially when you consider that the bulk of your business is tied up with a mainframe environment synonymous with slow and steady, as befits the platform that holds between 70-80% of corporate data and affects 70% of enterprise transactions. The software developer may be pushing the ‘software factory’ theme together with fast and agile DevOps, or the newer handle, DevSecOps, but that doesn’t mean it’s customers are comfortable with rapid changes. Not that they have much choice: only 12% of the Fortune 500 survived the period between 1955 and 2016, and up to 50% of the S&P 500 ranks are expected to be replaced over the next 10 years. So disruption is the name of the game, and CA is doing its best to change its spots and become the essential go-to partner for fast and agile DevSecOps where ‘everyone is responsible for security with the goal of safely distributing security decisions at speed and scale to those who hold the highest level of context without sacrificing the safety required.’ That’s a mouthful, but the stakes are mind-boggling, with the potential to take CA’s total addressable market from mainframe billions to DT/DevSecOps trillions. “The ability to manage change, respond to new inputs or insights and pivot has never been more important,” said CA Technologies CEO Mike Gregoire in his opening keynote . “Our entire portfolio is designed around the pillars of the Modern Software Factory to increase the velocity, security and performance of the solutions and the apps that are critical to our customers’ businesses.” He said the company is on a “deliberate journey”, balancing creation and execution and morphing from a solutions company to one that is focused on “accelerating business values.” Operational efficiency isn’t enough, Gregoire added. “First among the tools to confront these challenges is your Modern Software Factory. It ensures that your company is built to change and can adapt to an accelerating digital world.” We may be app-driven, but without security, you’re looking at a world of pain. With DevOps, CA helped break down the barriers between development and operations but “we don’t think about security,” said Gregoire in a media scrum following his keynote. The application is the weakest link in your chain, he said, so you need security involved right from the start, with the coder. However, rather than best-of-breed standalone tools, customers are...

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CA: Connecting the DoTs

To help address the emerging multi-trillion-dollar app-driven digital transformation business phenomenon, CA Technologies made more than 20 new and enhanced product announcements at CA World ‘17. That might seem like a lot, but not when you consider that even after decades of consolidating and rationalizing its software portfolio, the ISV still lists 192 separate products on its website (courtesy of the approximately 70 companies acquired since opening its doors as Computer Associates back in 1976). While its efforts to expand the non-mainframe portion of its business — 65% of total revenues last quarter — seem to be taking longer than expected, CA’s emphasis on four pillars, or what Ayman Sayed, President & Chief Product Officer, called patterns — 1-making the products simpler to use and driving faster time to value; 2-SaaS availability; 3-openness, i.e. any infrastructure, any platform; and 4-AI — figured prominently in the innovation onslaught. Innovation was repeated often in the keynotes and one-on-ones. ”Most everyone in our industry is operationally efficient… but that’s not enough,” said CA CEO Mike Gregoire. “Our job is to break down barriers between technology and innovation,” referring to the event’s ‘No Barriers’ theme. Whether it’s built internally or bought, the company’s promise “and the holy grail” is to take innovation, integrate it with its other offerings and make it a “force multiplier”, he said. The innovations were intended to help address some of the impacts customers are confronting, he said. There has been a shift from building products to providing and supporting business outcomes. Customers are also demanding more intelligence, and security is becoming a bigger concern and a challenge, he added. Customers were another focus for CA, and as important as the announcements were, the “most exciting” news were the “170 customers joining us to talk about using our products to transform themselves,” said Sayed. Then he talked about the products, including the company’s latest artificial intelligence initiatives. CA combined the up and coming technology with its mainframe roots with solutions that ‘help customers speed time to resolution by 5X, reduce insider threats and cut operational expenses by 25%.’ “Through A.I. and machine-learning powered intelligent automation, CA’s new mainframe solutions enable increased insights across broader sets of data,” said CA’s Ashok Reddy, GM, Mainframe, in a prepared statement. It’s not a new concept or term, but as part of its security focus CA is pushing the concept of DevSecOps. In announcing new tools that integrate security throughout the software development lifecycle, Sayed said this approach is “critically important”, and the tools are now available across the company’s Automic, Veracode, and Continuous Delivery portfolios. “Companies that embrace DevSecOps deliver better and...

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IBM Advances Cluster Virtualization…

On the classic Groucho Marx quiz show You Bet Your Life if a contestant accidently said the “secret word” of the day, he or she would win a prize. There’s no prize included in this commentary, but the secret word of the day is virtualization, especially as it relates to IBM’s new HPC and AI solutions. IBM defines virtualization as “A technology that makes a set of shared resources appear to each workload as if they were dedicated only to it.” IT is very familiar with this concept, what with operating system-level virtualization, server virtualization, network virtualization, and storage virtualization all continuing to permeate more and more through computing infrastructures and the collective consciousness. So, it should come as no surprise that IBM is advancing the concept of cluster virtualization in its latest announcement, tying it closely to cloud and cognitive computing. IBM’s cluster virtualization initiative combines products from its Spectrum Computing family, namely Spectrum LSF, Spectrum Symphony, and Spectrum Conductor, along with overall cluster virtualization software (Spectrum Cluster Foundation) to manage the whole process. And that includes the storage that is delivered through IBM Spectrum Scale, another member of the IBM Spectrum Storage family. The goal of this approach is to automate the self-service provisioning of multiple heterogeneous high-performance computing (HPC) and analytics (AI and big data) clusters on a shared secure multi-tenant compute and storage infrastructure. Doing so delivers multiple benefits to numerous technical computing end users, including data scientists and HPC professionals. The announcement focuses on these products: IBM Spectrum LSF, IBM Spectrum Conductor, and IBM Spectrum Scale. For more information, CLICK HERE NOTE: This column was originally published in the Pund-IT...

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Teradata’s Analyze This: Any Tool, Anywhere, Anybody

At last week’s ‘The Edge of Next’, Teradata Corporation’s (TDC) annual customer and partner event, the data analytics company made several product, service and business announcements, as well as provided more context on its new AI survey that concluded artificial intelligence is on big business’ agenda, but that significant challenges will have to be overcome before it goes mainstream. While TDC didn’t make a lot of announcements, the ones it did make were fairly significant, including: the Teradata Analytics Platform; Teradata IntelliSphere, with all the tools to ingest, access, deploy and manage a flexible analytical ecosystem; AI services and accelerators; and the Agile Analytics Factory an as-a-service program to accelerate client innovation in advanced analytics, and deliver strategic business outcomes. When asked for the key takeaway from the announcements, Teradata’s Imad Birouty, Director, Technical Product Marketing, said the new products and ecosystem provide analytics flexibility for customers, what the company calls derisking. “There’s no risk to your decision,” he said. “The ability to have technology run on-prem, in the cloud… it takes the shackles off of them.” As companies’ needs change, or they become more familiar with the technologies, tools and deployment options, they change where and how they do analytics, he told IT Trends & Analysis. They may want to start on-prem, but six months later might decide cloud looks more appealing, or vice versa. IntelliSphere is a toolbox that provides all the tools you need to build an analytics system, said Birouty, and you can make all the changes you want without having to rip and replace. “This is a comprehensive portfolio, 10 products in one bundle. As your business needs change tomorrow… you already have all the tools in your toolbox, so change all you want. It gives companies the flexibility for today and tomorrow.” “We’re helping companies to operationalize their analytics, and make it part of your daily workflow.” That’s difficult to do today, added Birouty, and a lot of companies stumble trying to make analytics initiatives successful. Flexibility is essential, said Oliver Ratzesberger, EVP, and Chief Product Officer, Teradata. Customers cannot predict what is coming tomorrow, so the company’s strategy, Teradata Everywhere (originally unveiled in September 2016) provides the necessary flexibility and agility, delivered via four broad concepts: 1/analyze anything; 2/deploy anywhere; 3/buy anyway; and 4/move anytime.Customers can move anytime, anywhere and are not locked in, he said. The products and services are important, but how they are deployed are even more significant, said Ratzesberger. “…when companies step up to take an enterprise view… not department… they drive significant improvement… when all of that comes together that’s when we see order of magnitude increases...

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