CIO Forum

 Cio Forum is for Global Information Technology Industry

  1. Each year we talk with tech leaders about the biggest problems they’ll face in the near future, and we’re starting to see some subtle and not-so-subtle shifts from the worries of 2018.

    Data overload, a major concern 12 months ago, has evolved as new data-hungry tools and AI help make sense of data and drive business decisions. This year CIOs say they’re more concerned with how to protect that data, as organizations grapple with new privacy regulations.

    As the economy continues to improve, CIOs are less hampered in 2019 by tightening budgets. And worries about moving to the cloud are less of an issue, since many companies have already made the jump. Executives put more emphasis now on securing their cloud-based assets across multiple cloud environments.  

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  2. Cloud continues to undergo intense innovation. Around this time last year, I predicted Cloud 2.0—which puts heterogenous cloud at the future of application architecture—would finally go mainstream. This year, we’ll move beyond just a tipping point and onto a new era of cloud: Cloud 3.0. 

    So, what will Cloud 3.0 look like? If re:Invent is any indication of what we can expect in the next year, we’ll continue to see impressive cloud adoption across all industries and with this, the continued creation of solutions and integrated data tools that best meet user needs.

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  3. Today’s telecommunications companies operate in an era of constantly connected users. From smartphones to smart cars, the Internet of Things has greatly increased the number of devices connected to communications networks. This expansion is driving telcos to adopt new technologies to simplify and automate processes while reducing costs. And this is where artificial intelligence enters the picture for telephone companies, Internet service providers and other players in the telco industry.

    To meet the demands of always-connected customers and drive operating efficiency, telcos are investing in AI — in a big way. Market intelligence firm Tractica forecasts that global telecommunications industry investment in AI software, hardware and services will reach $36.7 billion annually by 2025.1

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  4. In today’s data centers, a great convergence is under way, bringing together high performance computing (HPC) and artificial intelligence, along with data analytics, in a single system. This convergence makes complete sense, given that these technologies are designed to unlock the value of data, and it’s difficult to reach AI goals without HPC.

    For a real-life example of this convergence, we can look to the University of Cambridge’s latest supercomputer, called Cumulus–UK Science Cloud. Cumulus was launched by the University’s Research Computing Services organization, which provides leading-edge computational services to academic researchers and the broader realm of the UK scientific and industrial community. Researchers use the Cumulus system to solve some of today’s most demanding data-driven simulation and AI challenges, from those involving medical imaging and genomic analysis to the mapping of exoplanets.

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  5. We all know the benefits that APIs can bring in getting the right data to the right people at the right time. There are enough tools out there to make offering API access to your data a relatively easy experience. However, a common problem has been too great a focus on sorting out the technical issues, often at the expense of building a compelling business case for having an API in the first place.

    A closer integration with core business objectives and the commercial needs of the organization can help design better APIs as well as increase the likelihood of internal funding approval. Here are five ways your company’s or product’s business model may benefit from incorporating an API.

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