CORRECTING and REPLACING Lack of Data and Skilled Experts Remain Hurdles in Enterprise AI Adoption, a New O’Reilly Survey Reports

AI Skills Gap Remains a Barrier to Implementation a Year After
O’Reilly’s Inaugural AI and Deep Learning Research Findings are Released

BOSTON–(BUSINESS WIRE)–lt;a href=”https://twitter.com/hashtag/AIAdoption?src=hash” target=”_blank”gt;#AIAdoptionlt;/agt;–Third paragraph, second sentence of release dated February 19, 2019
should read: “The survey reveals that the need for AI talent remains
critical, with 18 percent of respondents indicating lack of skilled
people as a factor that slows adoption” (instead of “In fact, the need
for AI talent has become even more critical, with 23 percent of
respondents indicating lack of skilled people as a factor that slows
adoption, compared to 20 percent of respondents last year who indicated
a lack of skilled people as a bottleneck.”)

The corrected release reads:

LACK OF DATA AND SKILLED EXPERTS REMAIN HURDLES IN ENTERPRISE AI
ADOPTION, A NEW O’REILLY SURVEY REPORTS

AI Skills Gap Remains a Barrier to Implementation a Year After
O’Reilly’s Inaugural AI and Deep Learning Research Findings are Released

O’Reilly,
the premier source for insight-driven learning on technology and
business, today announced the results of its 2019 Artificial
Intelligence (AI) survey, “AI
Adoption in the Enterprise
” The report explores how enterprise
organizations are planning and prioritizing AI implementations and how
adoption patterns may change over the course of the year.

Similar to the results of O’Reilly’s
2018 AI survey
issued last April, the findings suggest that there
continues to be strong interest in democratizing AI in production
regarding accountability, compliance and ethics.

Despite this, a majority of businesses are not equipped with the data or
AI/machine learning expertise they need for successful implementations.
The survey reveals that the need for AI talent remains critical, with 18
percent of respondents indicating lack of skilled people as a factor
that slows adoption.

Other notable findings include:

  • Eighty-one percent of respondents work for organizations that already
    use AI.
  • More than 60 percent work for organizations planning to spend at least
    5 percent of their IT budget over the next 12 months on AI.
  • One-fifth (19 percent) work for organizations planning to spend a
    significant portion—at least 20 percent—of their IT budget on AI.
  • The level of spending depends on the maturity of an organization.
    Those with a mature practice plan to spend on AI at a much higher rate
    than less-mature companies.
  • “Lack of data” and “lack of skilled people” remain key factors that
    slow down AI, along with “company culture” (23 percent) and
    “difficulties identifying use cases” (17 percent).
  • More than half of all respondents signaled that their organizations
    were in need of machine learning experts and data scientists.
  • Half of all respondents belonged to organizations that used AI for
    research and development (R&D) projects, while one-third used it for
    customer service or IT.
  • More than half (53 percent) of all respondents already using deep
    learning use it for computer vision applications, but many more use it
    for “enterprise data,” including unstructured data (86 percent) and
    text (69 percent).
  • In O’Reilly’s 2018 survey focused on deep learning, the top three
    tools used were TensorFlow (61 percent), Keras (25 percent) and
    PyTorch (20 percent). This year, usage rates for Keras (34 percent)
    and PyTorch (29 percent) grew.

“AI maturity and usage in the enterprise has grown exponentially over
the past year and there are no signs of that slowing down,” said Ben
Lorica, O’Reilly chief data scientist and AI Conference chair. “Mature
organizations with plans to spend on AI tools that hire talent to
identify use cases that fit those AI solutions will succeed, but for
those less-mature companies with a lack of investment in AI, we expect
the gap between leaders and laggards will only widen.”

You can download the full survey results here.
Further exploring some of the most important trends and developments in
enterprise AI, O’Reilly and Intel AI will host the upcoming AI
Conference
, taking place from April 15-18 in New York City.
Conference registration
is now open, and a limited number of media
passes
are available for qualified journalists and analysts.

For questions regarding media credentials, contact [email protected];
for media queries or scheduling interviews, contact [email protected].
Follow @TheAIConf
or #TheAIConf
on Twitter for the latest news and updates.

About O’Reilly
For almost 40 years, O’Reilly has provided
technology and business training, knowledge, and insight to help
companies succeed. Our unique network of experts and innovators share
their knowledge and expertise at O’Reilly conferences and through the
company’s SaaS-based training and learning platform, O’Reilly Online
Learning. O’Reilly delivers highly topical and comprehensive technology
and business learning solutions to millions of users across enterprise,
consumer, and university channels. For more information, visit www.oreilly.com.

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