Share with your friends










Submit

Analytics Magazine

Survey: Despite the hype, AI adoption still in early stages

The hype surrounding artificial intelligence (AI) is intense, but for most European businesses surveyed in a recent study by SAS, adoption of AI is still in the early or even planning stages. The good news is, the vast majority of organizations have begun to talk about AI, and a few have even begun to implement suitable projects. There is much optimism about the potential of AI, although fewer were confident that their organization was ready to exploit that potential.

It isn’t so much a lack of available technology slowing AI adoption; most attest that there are many options available. More often, the challenges come from a shortage of data science skills to maximize value from emerging AI technology, and deeper organizational and societal obstacles to AI adoption.

These were some of the findings of the Enterprise AI Promise Study, a phone survey of executives from 100 organizations across Europe in banking, insurance, manufacturing, retail, government and other industries. The SAS study was conducted in August to measure how business leaders felt about AI’s potential, how they use it today and plan to use it in the future, and what challenges they face.

Fifty-five percent of respondents felt that the biggest challenge related to AI was the changing scope of human jobs in light of AI’s automation and autonomy. This potential effect of AI on jobs includes job losses but also the development of new jobs requiring new AI-related skills. Ethical issues were cited as the second-biggest challenge, with 41 percent of respondents raising questions about whether robots and AI systems should have to work “for the good of humanity” rather than simply for a single company, and how to look after those who lost jobs to AI systems.

Are organizations’ data scientists ready for the challenge of emerging AI? Only 20 percent felt their data science teams were ready, while 19 percent had no data science teams at all. Recruiting data scientists to build organizational skills was the plan for 28 percent of respondents, while 32 percent said they would build AI skills in their existing analyst teams through training, conferences and workshops.

Additionally, trust emerged as a major challenge in many organizations. Almost half of respondents (49 percent) mentioned cultural challenges due to a lack of trust in AI output and more broadly, a lack of trust in the results of so-called “black box” solutions.

The study also sought to assess AI readiness in terms of infrastructure required. There was a contrast between those respondents who felt they had the right infrastructure in place for AI (24 percent), and those who felt they needed to update and adapt their current platform for AI (24 percent) or had no specific platform in place to address AI (29 percent).

“We’ve seen incredible advances in making algorithms perform – with stunning accuracy – tasks that a human could do,” says Oliver Schabenberger, executive vice president and chief technology officer at SAS. “It is remarkable that an algorithm beat the best Go player in the world. We thought that the game of Go could not be computerized – by man. But now a machine did it for us. Once the system knew the rules, it learned to play, and played better than the best of our species can play. We can use this knowledge to build systems that solve business problems as well or better than the static systems in use today. We can build systems that learn the rules of business, then learn to play by the rules and are designed to then improve.”

Related Posts

  • 86
    Operations research (O.R.) has had it easy. From its earliest days, the discipline harnessed the incredible power of mathematical algorithms to drive efficiency without drawing undue public attention. Militaries have relied on O.R. ever since World War I to better move around supplies or to ensure strike missions reach their…
    Tags: ai
  • 81
    A recent Gartner survey reveals that saving time and money are the top reasons why consumers would use artificial intelligence (AI). “AI is among the technologies that consumers consider using for tangible and more ‘serious’ benefits, as opposed to socializing, projecting self-image and having fun – three common reasons for…
    Tags: ai, percent
  • 58
    Advanced artificial intelligence algorithms have the ability to take over tasks traditionally reserved for skilled human operators, such as driving a truck or performing a medical diagnosis. What once was the stuff of science fiction is now reality. This technology has made tremendous leaps in the last decade, yet it…
    Tags: ai
  • 53
    2020 will be a pivotal year in AI-related employment dynamics, according to Gartner, as artificial intelligence (AI) will become a positive job motivator. The number of jobs affected by AI will vary by industry; through 2019, healthcare, the public sector and education will see continuously growing job demand while manufacturing…
    Tags: ai, percent


Headlines

Using machine learning and optimization to improve refugee integration

Andrew C. Trapp, a professor at the Foisie Business School at Worcester Polytechnic Institute (WPI), received a $320,000 National Science Foundation (NSF) grant to develop a computational tool to help humanitarian aid organizations significantly improve refugees’ chances of successfully resettling and integrating into a new country. Built upon ongoing work with an international team of computer scientists and economists, the tool integrates machine learning and optimization algorithms, along with complex computation of data, to match refugees to communities where they will find appropriate resources, including employment opportunities. Read more →

Gartner releases Healthcare Supply Chain Top 25 rankings

Gartner, Inc. has released its 10th annual Healthcare Supply Chain Top 25 ranking. The rankings recognize organizations across the healthcare value chain that demonstrate leadership in improving human life at sustainable costs. “Healthcare supply chains today face a multitude of challenges: increasing cost pressures and patient expectations, as well as the need to keep up with rapid technology advancement, to name just a few,” says Stephen Meyer, senior director at Gartner. Read more →

Meet CIMON, the first AI-powered astronaut assistant

CIMON, the world’s first artificial intelligence-enabled astronaut assistant, made its debut aboard the International Space Station. The ISS’s newest crew member, developed and built in Germany, was called into action on Nov. 15 with the command, “Wake up, CIMON!,” by German ESA astronaut Alexander Gerst, who has been living and working on the ISS since June 8. Read more →

UPCOMING ANALYTICS EVENTS

INFORMS-SPONSORED EVENTS

INFORMS Computing Society Conference
Jan. 6-8, 2019; Knoxville, Tenn.

INFORMS Conference on Business Analytics & Operations Research
April 14-16, 2019; Austin, Texas

INFORMS International Conference
June 9-12, 2019; Cancun, Mexico

INFORMS Marketing Science Conference
June 20-22; Rome, Italy

INFORMS Applied Probability Conference
July 2-4, 2019; Brisbane, Australia

INFORMS Healthcare Conference
July 27-29, 2019; Boston, Mass.

2019 INFORMS Annual Meeting
Oct. 20-23, 2019; Seattle, Wash.

Winter Simulation Conference
Dec. 8-11, 2019: National Harbor, Md.

OTHER EVENTS

Advancing the Analytics-Driven Organization
Jan. 28–31, 2019, 1 p.m.– 5 p.m. (live online)

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.