Training Industry Magazine - May/June 2018 - 36



Do you remember when Six Sigma
was hot? Nearly 20 years ago, Motorola
University revitalized Six Sigma with
modern information technology
tools to drive $2 billion worth of
improvements to their bottom line.
"Digital Six Sigma" required training
thousands of Six Sigma experts -
black and green belts to design
great products and improve existing
processes. Training for black belts
included four weeks of in-class
coursework spread over four months,
and in the off weeks they had to apply
the learning to an important project
sponsored by a senior leader.

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For the green belts, Motorola University
used all the latest e-learning and
blended learning and won an industry
award, but still struggled to help 5,000
people apply the new skills onto their
jobs in over 50 countries around the
world. This is because each learner is
unique, with different skills, challenges
and needs, and it was not affordable
to help each one transfer their skills
to the job in a systematic and
personalized way.
While it is not a cure-all, new work
in artificial intelligence (AI) has
substantially addressed this classic
training transfer problem by supporting
learners in-between sessions with an

artificially intelligent coach. When
combined with a real-life, expert coach
or teacher, there are two major types
of AI that are now being used to help
learners practice real-world skills in
their jobs as a new form of electronic
performance support: expert systems
and deep learning "flight simulators."


One new form of AI is a new type of
calibrated coaching. After completing
a short computer-adaptive assessment,
each learner can pick a goal and
schedule short, tweet-sized suggestions
for how and what they should practice.
On the mornings and days they prefer,


Table of Contents for the Digital Edition of Training Industry Magazine - May/June 2018