How Artificial Intelligence
is Shaping Non-Traditional
Technology Companies
Joey Jablonski
As organizations look to transform and stay competi-
tive in digital markets, technologies like artificial intel-
ligence and machine learning are enabling non-tradi-
tional technology companies to be more effective,
make better decisions and respond more quickly to
changing market conditions.
Many companies get instinctively grouped as either technological leaders, or
traditional non-tech companies. This rash judgment often misses the evolution
that many companies are going through to transform their business and indus-
try through modern technological capabilities. People often assume that only
the biggest tech companies such as Facebook, Google or Instagram are using
advanced technologies like artificial intelligence (AI) and machine learning (ML)
to drive their business. Since AI and ML have become easier to consume as cloud
based services, we are seeing many organizations once thought to be non-tradi-
tional technology firms, begin to adopt these advanced technologies as well.
As organizations look to transform and stay competitive in increasingly digital
markets, technologies like AI and ML are enabling employees to be more effec-
tive, make better decisions measured through data and respond more quickly
to changing market conditions. This rapid response to changing markets is the
largest driver for the use of AI. Employees no longer need to spot trends and
react, but rather let the tools and algorithms respond as users’ needs change.
AI and ML enable leaders in these non-traditional digital organizations to let
their staff focus on the most powerful work activities where human input is
required, and let the more trivial and less meaningful work fall to automation.
Four industries that we see rapidly changing due to AI include automotive, real
estate, legal services and education. Each industry is defined by traditional
models that are reliant on growing numbers of employees to support growing
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