Data Challenges Are Halting AI Projects, IBM Executive Says
28 Mai 2019 - 11:59AM
Dow Jones News
By Jared Council
International Business Machines Corp. executive Arvind Krishna
said data-related challenges are a top reason IBM clients have
halted or canceled artificial-intelligence projects.
Mr. Krishna, IBM's senior vice president of cloud and cognitive
software, said about 80% of the work with an AI project is
collecting and preparing data. Some companies aren't prepared for
the cost and work associated with that going in, he added.
"And so you run out of patience along the way, because you spend
your first year just collecting and cleansing the data," said Mr.
Krishna, who was interviewed at The Wall Street Journal's Future of
Everything Festival last week. "And you say: 'Hey, wait a moment,
where's the AI? I'm not getting the benefit.' And you kind of bail
on it."
Mr. Krishna didn't name clients or say how many had halted
projects.
One well known example of an AI project unraveling happened in
2017 at the University of Texas' MD Anderson Cancer Center, which
aimed to use IBM's AI platform, Watson, to improve cancer care. An
audit by the University of Texas showed the cancer center was using
old data, among other issues.
A report this month by Forrester Research Inc. found that data
quality is among the biggest AI project challenges. Forrester
analyst Michele Goetz said companies pursuing such projects
generally lack an expert understanding of what data is needed for
machine-learning models and struggle with preparing data in a way
that's beneficial to those systems.
She said producing high-quality data involves more than just
reformatting or correcting errors: Data needs to be labeled to be
able to provide an explanation when questions are raised about the
decisions machines make.
While AI failures aren't much talked about, Ms. Goetz said
companies should be prepared for them and use them as teachable
moments. "Rather than looking at it as a failure, be mindful about,
'What did you learn from this?'" she said.
Mr. Krishna said he couldn't specify what percentage of
IBM-related AI projects were halted over the past five years. But
he said: "In the world of IT in general, about 50% of projects run
either late, over budget or get halted. I'm going to guess that AI
is not dramatically different."
Responding to a moderator's question about some of IBM's
perceived AI setbacks, including clients pulling the plug on
projects and the relatively slow uptake of Watson, Mr. Krishna
defended his company's position in the market. He said AI project
halts are "the nature of any early technology," and added that IBM
has some 20,000 AI projects world-wide in industries including
banking, telecommunications and energy.
"I think 20,000 is not slow," he said. "I think 20,000 projects
is, what I would call, successful."
Write to Jared Council at jared.council@wsj.com
(END) Dow Jones Newswires
May 28, 2019 05:44 ET (09:44 GMT)
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