1. Articles from CIO.com

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  2. 25-48 of 435 « 1 2 3 4 5 ... 17 18 19 »
    1. How IT Can Empower the Enterprise with Self-Service Analytics at Scale

      Business intelligence used to be a top-down affair which IT often approached in the same manner as traditional IT projects. The business makes a request of IT, IT logs a ticket, then fulfills the request following a waterfall methodology.While this approach centralized data and promoted consistency, it sacrificed business agility. There was a significant lag between question and answer. And this delay led to lackluster adoption and low overall business impact.

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    2. IT leaders say it's hard to keep the cloud safe

      IT managers are finding it difficult to keep their applications and data safe in the cloud, and many are slowing cloud adoption because of it. That was one of the findings of an Intel cloud security report that surveyed 2,000 IT professionals in different countries and industries last fall. The issue isn't with the cloud itself, since trust outnumbers distrust for public clouds by more than two to one, according to Intel's survey.

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    3. How open compute cuts server costs in the enterprise

      The open compute project (OCP) means you can get the designs that Microsoft, Facebook and (to a lesser extent) Google use for their data centers.  The goal is to get original design manufacturers (ODMs) to build them for you rather than buying standard servers and switches from original equipment manufacturers (OEMs).  Six years on, it’s still mainly the largest of companies with the largest of data centers that are buying OCP designs, Forrester principal analyst Richard Fichera tells CIO.com. “Some of the larger financial services and large manufacturers are actively implementing OCP designs or OCP-like designs.”

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    4. MapR delivers persistent storage for containers

      One of the core issues that has inhibited the adoption of container technologies, like Docker, is the lack of support for persistent storage required for stateful applications and microservices, says Jack Norris, senior vice president, Data and Applications, MapR Technologies. Container technology has come a long way in the past several years, but when it comes to storage, the options have been point solutions for file and block storage, with no comprehensive, secure data services for stateful containers.

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    5. AT&T open sourced the heart of their network

      Last year at the Open Networking Summit, AT&T announced (and released a white paper on) its Enhanced Control, Orchestration, Management & Policy (ECOMP). At that time, John Donovan, chief strategy officer and group president, technology and operations at AT&T, said that if there was enough interest by the networking community, they may open source the project. Fast forward a year and ECOMP has been open sourced and is now a Linux Foundation Collaborative Project.

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    6. IT and C-level leaders point fingers at each other over cyber defense

      IT managers disagree with chief executives over who is responsible for a cyber security breach, according to a survey released Thursday. The survey -- of a group of 221 chief executive officers and other C-level executives and another group of 984 IT decision makers -- found that each group largely believes the other group is responsible in the event of a breach. IT managers say a cyber attack will cost double what their bosses estimate.

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    7. Insurance spin-out rides API-driven strategy

      Allstate has spun out an analytics business that harnesses driver risk scores, roadside rescue services and other telematics data, which it is packaging into software to sell to rival insurers, automakers, as well as ride-sharing companies. So it is fitting that the startup, called Arity, is also aping the API-based platform strategies of the very startups that have blown up the transportation industry.

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    8. One CIOs vision of the future of the modern workplace

      Dan Kieny, CIO of Black & Veatch, looks to the generations beyond millennials to envision a more user-centric workplace. Where collaboration and communication happen in real time. Dan Kieny: The worker of the future will interact with and leverage today’s emerging technologies of today with little understanding of “how things used to be.”  In our next gen workplace, employees will be able to “like” each other’s work. Our employees will no longer be attached to a particular office with a workforce; they will be attached directly to people and information. 

       

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    9. The Evolution and Maturation of HPC in the Enterprise

      The convergence of high performance computing (HPC) and big data has been under way for years. As I noted in an earlier blog, HPC and big data grew up in different worlds and are now coming together—due to necessity. People using HPC applications often work with big data, and people working with big data often need the processing power of HPC systems. This convergence is giving rise to the era of high performance data analytics (HPDA) in the enterprise.

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    10. Is the call center era over?

      The heyday of the big and bustling call center is coming to an end. While customer inquiries, outreach and grievances never go away, the ways in which they are managed are changing quickly. The majority of B2C interactions will soon be person-to-machine rather than person-to-person due to the rapid rise of RPA (robotic process automation) and artificial intelligence (A.I.).

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    11. Connected cars are ripe for hacking

      Technology has taken over almost every area of consumers’ lives, from the way they work and play to the toys their children use. In addition to finding ways to connect homes to the internet, innovators have also begun developing software and hardware for the cars people drive every day. When a vehicle can connect to the internet, automakers can build in amenities that make their products more desirable to consumers. But like the many other devices that can communicate, connected vehicles bring security issues. 

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    12. Hyperconvergence in high demand

      Hewlett Packard Enterprise's $650 million acquisition of SimpliVity last week highlights the growing popularity of consolidated computing systems that CIOs are adopting as an alternative to public cloud services.

      SimpliVity is a market leader in hyperconverged systems, which bundle computing, storage and networking are bundled onto the same server. Such systems, once considered a niche market in a rapidly shrinking sector for on-premises technology, are rapidly gaining traction.

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    13. Taking Control of Cloud ERP

      Today’s maturing and evolving Cloud ERP solutions allow organizations to streamline their financial operations and business processes — with employees able to access and support the organization from anywhere, at any time. Easy access, however, also means increased risk. Unfortunately, many companies struggle to strike a good balance between business enablement and security protections, and proceed without a clear direction.

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    14. Why every company needs to modernize its software factory

      Software has played an integral role in business for decades by optimizing the silos of sales, marketing, product development, HR, finance and so on. But in the digital economy, software isn’t just a mechanism for increasing the efficiency of your business; it has become the primary tool for engaging your customers. Today, delivering a seamless, high quality digital experience to your customers is the foundation of your brand, and ultimately, your business success.

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    15. 5 goals your 2017 digital transformation program needs

      Chances are you've spent the better part of the last quarter working with your business colleagues on your digital strategy and 2017 business objectives. You've assembled the best research, gathered the appropriate stakeholders, reviewed the latest data, consulted with key customers and prioritized a list of 2017 initiatives. Each initiative is designed to improve the customer experience, grow revenue, become more efficient, enhance security, and invest in new digital capabilities. 

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    16. Data science is easy; making it work is hard

      In the world of data science, there are three core problems: acquiring data, doing the math and taking action. Two of those drive data scientists crazy; the other one they find easy. “Doing the math” is what most people think of as data science. Algorithms, machine learning, cognitive tools, deep learning and the word stochastic are often not far away. That's the easy bit. Now let me define easy: Data science is easy if you have the right data scientists.

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    17. Old networks can hobble IoT, even in tech paradise

      IoT isn’t all brand-new, cutting-edge technology. In fact, some of it’s already suffering through painful upgrade cycles.A case in point is the system that tells transit passengers in the tech hub of San Francisco when the next train or bus will arrive. The NextMuni system, based on the third-party platform NextBus, recently began sending out wildly inaccurate forecasts on many lines.

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    25-48 of 435 « 1 2 3 4 5 ... 17 18 19 »