How to align corporate learning with artificial intelligence
Artificial Intelligence (AI) which was once upon a time largely implemented in video games and select complex advanced scientific and industrial applications, has now invaded the corporate world.
Artificial Intelligence (AI) which was once
upon a time largely implemented in video games and select complex advanced
scientific and industrial applications, has now invaded the corporate world. It
is befriended by different functions of the business as an aid for decision
making, simulating scenarios and in gaining new knowledge and insights about
various facets of business on a scale and magnitude never before experienced by
organisations. Robots which were considered very complex to build and were
mostly positioned in large manufacturing companies have become significantly
more impactful powered by AI and are also able to socialise recognising human
body and voice. Hence every business, small or large, is beginning to think of
the impact AI could make in enhancing customer experience, innovating their
products and offerings with the help of deep analytics, reducing costs and
losses by avoiding potential pitfalls in taking smarter decisions. It is also
time to consider the role AI could play in the talent development function and
make learning and development of professionals more exciting and impactful.
The biggest value add AI could bring to
corporate learning is better understanding of learners, their learning styles
and their evolving learning needs. AI may replace trainers in some cases fully
or partially and by following the learning patterns of the trainees, will
empower the training managers to come up with customised and varied offerings.
Often times, learners do not wish to be exposed of their weaknesses and
therefore may be reluctant to learn. AI powered environment facilitates
learning through trial and error methods and encourages the learners to
experiment without fear or being intimidated.
AI systems could provide expertise and answer
queries intelligently and through this process become smarter and more
intelligent with every transaction thus slowly becoming a synergistic companion
for the learner as well as the trainer whose role over a period of time will
become that of a facilitator. AI systems could even take on the role of
grading, evaluating the students and providing feedback from time to time. At
times, the learning content and pedagogy may not be just right because of which
learners struggle with their grades and the learning outcomes may not be
satisfactory. AI systems enable large organisations to study these patterns to
arrive at the exact course corrections that are required to be made to bridge
such gaps and thus make learning purposeful. They bring together the vast
amounts of data about individual learning, social contexts, learning contexts
and personal interests and makes it possible to derive insights from
interactions to make learning adaptive as well as contextual.
When knowledge is served up to the employees
as required and contextualised, it becomes much more valuable than when it is
static and has the same flavour at all times to everyone. Contextual support at
the time of addressing a customer query or resolving a problem at customer site
not only enables the executive to be productive and tap into the knowledge just
in time, the organisation knowledge repository also constantly grows in this
process and becomes more intelligent over a period of time.
The examples of Siri, Cortana, Deep Mind
acquired by Google and driver less cars are
well known, all of which highlight the potential of machine learning unleashed
by AI systems applied in different ways. IBM’s Watson is a classic example of
the deep commitment to ongoing learning—which has seen brilliant results in a
variety of fields such as oncology, travel, law and finance. The device can
perform text mining and complex analytics on huge volumes of unstructured data
and serve up knowledge that we are seeking. OpenAI, the artificial intelligence
company invested by Tesla founder Elon Musk is aiming to build a new model of
free training “gym” for computer programmers. Known as OpenAI Gym, it’s an open
source tool to get developers around the world to train computer systems in
better ways to learn and develop more complex reasoning systems.
Training managers motivated by the potential
of AI interventions in the talent development process could start by
identifying a specific area where a pilot could commence. With the help of a
relevant AI tool and ongoing analytics, it would be possible to assess the
progress the learning programme makes. While the possibilities are exciting,
there has to be a commitment from the top to accord importance for AI powered
learning and continuous engagement with the view to making processes intelligent.
Rules would have to be defined, domain expertise needs to be formulated and
control structures require to be outlined in order to make the programme
robust.
The measure of success in such
an exercise is not just the short term outcome, but the impact it is
capable of creating on an ongoing basis. In addition, the longer term
intelligence that the tool acquires helps in coaching and providing expertise
that surpasses the impact traditional training programmes and trainers can
deliver.
The writer is CEO, Global Talent Track, a
corporate training solutions company
Regards
Pralhad
Jadhav
Senior
Manager @ Library
Khaitan
& Co
Upcoming
Events | BOSLA-NIFT ANNUAL
LECTURE SERIES-2016 on Saturday,
20th August 2016 at 10.00 hrs in National Institute of Fashion Technology, Kharghar, Navi Mumbai.
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