Share with your friends










Submit

Analytics Magazine

Gartner: Nearly half of CIOs planning to deploy artificial intelligence

Photo Courtesy of 123rf.com | © abidal

Meaningful artificial intelligence (AI) deployments are just beginning to take place, according to Gartner, Inc. Gartner’s 2018 CIO Agenda Survey shows that 4 percent of CIOs have implemented AI, while a further 46 percent have developed plans to do so.

“Despite huge levels of interest in AI technologies, current implementations remain at quite low levels,” says Whit Andrews, research vice president and distinguished analyst at Gartner. “However, there is potential for strong growth as CIOs begin piloting AI programs through a combination of buy, build and outsource efforts.”

As with most emerging or unfamiliar technologies, early adopters are facing many obstacles to the progress of AI in their organizations. Gartner analysts have identified the following four lessons that have emerged from these early AI projects.

  1. Aim low at first. Don’t fall into the trap of primarily seeking hard outcomes, such as direct financial gains, with AI projects,” says Andrews. “In general, it’s best to start AI projects with a small scope and aim for ‘soft’ outcomes, such as process improvements, customer satisfaction or financial benchmarking.” Expect AI projects to produce, at best, lessons that will help with subsequent, larger experiments, pilots and implementations. In some organizations, a financial target will be a requirement to start the project.
  2. Focus on augmenting people, not replacing them. Big technological advances are often historically associated with a reduction in staff head count. While reducing labor costs is attractive to business executives, it is likely to create resistance from those whose jobs appear to be at risk. In pursuing this way of thinking, organizations can miss out on real opportunities to use the technology effectively. “We advise our clients that the most transformational benefits of AI in the near term will arise from using it to enable employees to pursue higher-value activities,” Andrews added. Gartner predicts that by 2020, 20 percent of organizations will dedicate workers to monitoring and guiding neural networks.
  3. Plan for knowledge transfer. Conversations with Gartner clients reveal that most organizations aren’t well-prepared for implementing AI. Specifically, they lack internal skills in data science and plan to rely to a high degree on external providers to fill the gap. Fifty-three percent of organizations in the CIO survey rated their own ability to mine and exploit data as “limited” – the lowest level. Gartner predicts that through 2022, 85 percent of AI projects will deliver erroneous outcomes due to bias in data, algorithms or the teams responsible for managing them.Data is the fuel for AI, so organizations need to prepare now to store and manage even larger amounts of data for AI initiatives,” says Jim Hare, research vice president at Gartner.
  4. Choose transparent AI solutions. AI projects will often involve software or systems from external service providers. It’s important that some insight into how decisions are reached is built into any service agreement. “Whether an AI system produces the right answer is not the only concern,” says Andrews. “Executives need to understand why it is effective and offer insights into its reasoning when it’s not.” Although it may not always be possible to explain all the details of an advanced analytical model, such as a deep neural network, it’s important to at least offer some kind of visualization of the potential choices. In fact, in situations where decisions are subject to regulation and auditing, it may be a legal requirement to provide this kind of transparency.

Related Posts

  • 66
    Market hype and growing interest in artificial intelligence (AI) are pushing established software vendors to introduce AI into their product strategy, creating considerable confusion in the process, according to Gartner, Inc. Analysts predict that by 2020, AI technologies will be virtually pervasive in almost every new software product and service.
    Tags: ai, gartner, intelligence, artificial
  • 57
    CIOs have a major role to play in preparing businesses for the impact that artificial intelligence (AI) will have on business strategy and human employment, according to Gartner, Inc. Gartner predicts that by 2022, smart machines and robots may replace highly trained professionals in tasks within medicine, law and IT.
    Tags: will, ai, gartner, intelligence, artificial
  • 54
    Emotion artificial intelligence (AI) systems are becoming so sophisticated that Gartner, Inc. predicts that by 2022, personal devices will know more about an individual’s emotional state than his or her own family. AI is generating multiple disruptive forces that are reshaping the way we interact with personal technologies.
    Tags: ai, will, percent, gartner, data, artificial, intelligence
  • 49
    Are there any hotter topics in the analytics community today than artificial intelligence (AI) and machine learning (ML)? If so, please let me know. Ironically, in 1991, when I began editing OR/MS Today (the membership magazine of INFORMS), AI and ML were also hot topics. At the time, Lionheart Publishing,…
    Tags: ai, intelligence, artificial, will
  • 48
    Citizens are willing to try new artificial intelligence (AI) tools for government services despite their concerns about government use of the technology, according to results of an Accenture multi-country survey. The survey of more than 6,000 citizens from the United States, Australia, the United Kingdom, Singapore, France and Germany found…
    Tags: ai, percent, intelligence, artificial


Headlines

Does negative political advertising actually work?

While many potential voters dread campaign season because of pervasive negative political advertising, a new study has found that negative political advertising actually works, but perhaps not in the way that many may assume. The study “A Border Strategy Analysis of Ad Source and Message Tone in Senatorial Campaigns,” which will be published in the June edition of INFORMS’ journal Marketing Science, is co-authored by Yanwen Wang of the University of British Columbia in Vancouver, Michael Lewis of Emory University in Atlanta and David A. Schweidel of Georgetown University in Washington, D.C. Read more →

Meet Summit, world’s most powerful, smartest scientific supercomputer

The U.S. Department of Energy’s Oak Ridge National Laboratory on June 8 unveiled Summit as the world’s most powerful and smartest scientific supercomputer. With a peak performance of 200,000 trillion calculations per second – or 200 petaflops – Summit will be eight times more powerful than ORNL’s previous top-ranked system, Titan. For certain scientific applications, Summit will also be capable of more than three billion billion mixed precision calculations per second, or 3.3 exaops. Read more →

Employee engagement a top concern affecting customer experience

Employee engagement has surfaced as a major concern in delivering improvements in customer experience (CX), with 86 percent of CX executives in a Gartner, Inc. survey ranking it as having an equal or greater impact than other factors such as project management and data skills. “CX is a people issue,” says Olive Huang, research vice president at Gartner. “In some instances, the best technology investments have been derailed by employee factors, such as a lack of training or incentives, low morale or commitment, and poor communication of goals." Read more →

UPCOMING ANALYTICS EVENTS

INFORMS-SPONSORED EVENTS

INFORMS Annual Meeting
Nov. 4-7, 2018, Phoenix

OTHER EVENTS

Making Data Science Pay
July 30-31, 12:30 p.m.-5 p.m.


Predictive Analytics: Failure to Launch Webinar
Aug. 18, 11 a.m.


Applied AI & Machine Learning | Comprehensive
Sept. 10-13, 17-20 and 24-25


Advancing the Analytics-Driven Organization
Sept. 17-20, 12-5 p.m. LIVE Online


The Analytics Clinic: Ensemble Models: Worth the Gains?
Sept. 20, 11 a.m. -12:30 p.m.

CAP® EXAM SCHEDULE

CAP® Exam computer-based testing sites are available in 700 locations worldwide. Take the exam close to home and on your schedule:


 
For more information, go to 
https://www.certifiedanalytics.org.