Smart machines and cognitive computing
Cognitive computing enters the enterprise
Developing machines capable of exhibiting human-
like intelligence has been a goal of artificial
intelligence (AI) since its inception as a research
field in the mid-1950s. Natural language processing
and machine learning are two of the subfields of
AI. While AI has matured considerably over the
decades, advances in processing power and data
storage make using AI more feasible for solving
enterprise problems.
Today’s smart machines with AI capabilities are
already changing how humans work. Here are
three examples:
• Machines that enhance human capabilities, such
as an employee using a wearable computing
device to answer almost any question.
• Machines replace humans, such as a cognitive
virtual assistant used as an automated customer
service representative.
• Humans and machines work side by side, such as
a warehouse employee working with a mobile
robot to move boxes.
Deloitte’s Tech Trends 2015 points out that the
first example--augmenting human capabilities and
knowledge--could hold more promise for business
by amplifying our intelligence for more effective
decision making.
Cognitive computing is a relatively new term, often
used as a synonym for artificial intelligence. Unlike
traditional computer systems, which are
programmed by people to perform certain tasks,
cognitive systems have the ability to learn through
their interactions with both data and humans. They
can even adapt and get smarter over time.
Cognitive computing is part of an even larger trend,
broadly referred to as “big data.” IBM estimated that
80% of data today is unstructured (i.e., in the form
of natural language), with the remaining 20% being
structured data (i.e., in the form of rows and
columns). Cognitive computing is primarily focused
on unstructured data.
As with any new technological development, early
adoption accompanied by smart strategies and
effective execution can position businesses for
competitive advantages that can last for years. At
Deloitte, we share Gartner’s view that “the risk of
investing too late in smart machines is likely greater
than the risk of investing too soon.”
“For Gartner clients, the risk
of investing too late in smart
machines is likely greater than
the risk of investing too soon.”
IBM Bets on New Watson Unit to Ignite
Smart Machine Era Growth
Gartner Inc., January 14, 2014
Disruption ahead: Deloitte’s point of view on IBM Watson3
