• November 16, 2017 16 Nov'17

    Push for public, private sector cybersecurity cooperation continues

    Efforts to establish public and private sector cybersecurity cooperation have stalled in recent years, but high-profile incidents could be turning the tide.

  • November 16, 2017 16 Nov'17

    The uphill battle of beating back weaponized AI

    AI experts at the recent EmTech conference in Cambridge, Mass., painted a frightening picture of weaponized AI.

  • November 14, 2017 14 Nov'17

    Free course targets candidates for network engineering jobs

    NexGenT is new to the IT boot camp field, so it's promoting itself, offering up a course that helps people prepare for IT careers. The fee? A $5 charity donation.

  • November 03, 2017 03 Nov'17

    AI future is nigh, but enterprises are unready

    The AI future is terrifying, terrific -- and companies are unprepared to exploit it. Also: Big tech testifies on 2016 election meddling; iPhone X privacy concerns.

  • November 03, 2017 03 Nov'17

    Tim O'Reilly: The flawed genie behind algorithmic systems

    The founder of O'Reilly Media explains how the algorithmic systems that power the world's most customer-pleasing companies reflect our humanity back to us -- for better or worse.

  • Sponsored News

    • Why the Citrix-Microsoft Relationship Will Enhance Digital Workspace Solutions for Customers

      One of the most important megatrends impacting IT organizations is the move to fewer, more comprehensive technology platforms for delivering critical components of IT infrastructure. This makes perfect sense, as it frees IT from having to work across multiple vendors and their unique technology silos simply to deploy a key platform or service―saving innumerable hours and resources. Some vendors have finally recognized this demand and are now working more closely together to enable greatly improved efficiency for the IT teams deploying, managing and enhancing these platforms. See More

    • 5 ways to accelerate time-to-value with data

      Organizations that embrace IT Transformation are 18x more likely to make faster, data-driven decisions—while also being more innovative, competitive and cost-efficient. With fast, automated access to real-world data from current workloads, you can expedite development cycles, eliminate silos and accelerate access to innovation. Here’s how. See More

    • End-User Service Delivery: Why IT Must Move Up the Stack to Deliver Real Value

      Within many IT organizations, system admins and managers have always focused fairly low in the software stack, dealing with the minutiae of delivering individual services or apps to each user. This low-level focus has been driven by the design of many legacy software products, which prioritize creating individual implementations of complex software over leveraging standardization and automation. In digital workspaces, however, the huge number of unique devices and employees makes working at low levels of the stack especially resource-intensive. Delivering high-value services or game-breaking and transformational apps becomes quite difficult, as IT resources are being overloaded with the details. See More

    • 4 steps to making better-informed IT investments

      IT teams are under the gun to make data-based, future-oriented infrastructure investments to support IT transformation and cloud computing. Here’s how your organization can easily and efficiently collect, visualize, model and share real-world data from existing workloads to make faster and smarter decisions. See More

    View All Sponsored News
  • October 31, 2017 31 Oct'17

    Machine learning's training data is a security vulnerability

    Microsoft's Danah Boyd has a sobering message for CIOs: The data used to train machine learning algorithms is at risk.

  • October 31, 2017 31 Oct'17

    2017 Gartner Symposium: A SearchCIO photo roundup

    In this photo roundup, we chronicle the SearchCIO team's experience at the 2017 Gartner Symposium and highlight some key sessions and themes from the event.

  • October 31, 2017 31 Oct'17

    Xerox CISO: Cybersecurity is 'enabler' for innovative tech

    New data-driven technologies hold a lot of promise, Alissa Johnson says in this video. But the data needs to be protected so the tech works for us, not against us.

  • October 31, 2017 31 Oct'17

    Main cybersecurity management challenge? People, but simple tech can help

    How do you solve a problem like your risky-email-clicking employees? Train them, and make software easier, Xerox CISO Alissa Johnson says in this video.

  • October 27, 2017 27 Oct'17

    Top technology trends will put CIOs, companies in warp-speed mode

    Don't get too attached to those predictive models you've been churning out. In a few years, software will be calling the shots. Also: CIO salaries surging; first robot citizen.

  • October 27, 2017 27 Oct'17

    Companies want explainable AI, vendors respond

    Dispatch from the Strata Data Conference: The push for explainable AI is on, and companies like and Microsoft are looking to deliver.

  • October 26, 2017 26 Oct'17

    Finding AI talent is almost impossible, so cultivate it

    Let me guess. You want to find AI talent to build a self-thinking artificial intelligence platform that will revolutionize your business and catapult your organization to the forefront of your ...

  • October 20, 2017 20 Oct'17

    Google Glass device finally finds a use case -- in the enterprise

    Understand the problem first, then invent the technology -- unless you're Google and the technology is its Google Glass device. Also: KRACK attack, AlphaGo Zero, IoT security strategies on the rise.

  • October 20, 2017 20 Oct'17

    On cloud-first policy, not all companies are equal

    At Symposium 2017, Gartner contemplated IT's 'cloud-only' future, but an informal survey of attendees revealed that many enterprises have yet to adopt a cloud-first policy.

  • October 17, 2017 17 Oct'17

    CIOs should lean on AI 'giants' for machine learning strategy

    Components of AI, such as machine and deep learning, will be part and parcel of every enterprise. When devising a machine learning strategy, CIOs should think of it as the next wave of analytics.