10Tasks Machine Intelligence Will For Enterprise Firms in 2017

10
Tasks Machine Intelligence Will
Eliminate
For Enterprise Firms in 2017
The best examples of applied machine intelligence (AI) will be
those that eliminate tasks to empower humans, not replace them.
Providing Front-Line Customer Support
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FAQs
HISTORY
CALLS
KBs
Over half of the queries to a support function
can be solved with one knowledge base article,
and it doesn’t take a human to do a intranet
search. If the user needs further support, an AIbased agent can smartly route them to the right
person without requiring any time on hold.
Assessing Consumer Demand
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preferences
products
purchases
pricing
Amazon’s new Go store leverages inventory data
to accurately determine what items are popular,
determining demand to a far greater accuracy
than check out scans alone. Generally, AI can
not only accurately track inventory, but it can
correlate multiple data streams to assess desire
for a product or service as well.
Drafting Reports from Data
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Reports based on repeatable patterns or data
can be easily generated by a machine intelligent
author. These tools analyze data from many
sources to weave them together in a way that
is instantly readable, often with little additions
required by human authors.
Ensuring Data Compliancy
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Companies conducting business within
industries with sensitivities on data storage,
retention and use must ensure they meet
compliance measures. Machine learning
solutions can scan documents (or even code) to
ensure they meet compliance measures.
“Advances in AI and robotics allow people to cognitively offload repetitive tasks and invest their attention and
energy in things where humans can make a difference” - Pamela Rutledge
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Detecting and Resolving IT Incidents
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Optimizing Company Spending
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Predictive analytics solutions enable companies
to forecast situations in an environment in
order to proactively take action. Companies can
monitor application data with machine learning
to detect IT incidents before they occur, saving
time and money within their cloud operations.
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Enterprise companies cannot rely on HR
functions to monitor and manage each
individual’s spend against their company card.
AI algorithms may also uncover new categories
of items that a business can flag as needing
further review and support from management.
Monitoring Brand Sentiment
Marketers must constantly be aware of brand
perceptions, as a negative one can take a long
time to bounce back from. Companies can
leverage AI solutions to scan the sentiment of
social content in real time, gaining insights into
the root cause of a potentially greater issue.
“I think society benefits if all the human race is empowered and aspiring to do great things.” - Andrew Ng
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Finding Perfectly Matched Employees
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Companies stress culture fit as the most
important measure of an employee’s ability to
perform, but has been previously difficult to
quantitatively measure. AI can understand the
trade-offs among the raw skills of a prospective
talent, their ability to work with other
employees, and their potential for growth.
Uncovering New Business Opportunities
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Connectifier
A cold lead may only be the result of providing
the wrong message and losing the opportunity.
Predictive analytics based solutions can surface
manage customer success by surfacing up new
leads after new product revisions or when a
timely event occurs within a business, reviving a
potential deal.
Customizing Corporate Training Programs
Providing a cookie-cutter training experience
glosses over the differences in learning styles
each new employee (or contractor) has when
absorbing the large amounts of info they need to
be successful in representing your product. AIbased training solutions can create personalized
programs that ensure knowledge acquisition and
retention at a higher rate of accuracy.
Infographic by
Tarun Gangwani
(not a robot)
Attributions
All icons provided by the Noun Project under a royalty free license.
Grok has no formal business agreements with any companies mentioned as of publication, but appreciates
their product and mentions them for reader guidance.
Andrew Ng quote: https://www.wired.com/brandlab/2015/05/andrew-ng-deep-learning-mandatehumans-not-just-machines/
Pamela Rutledge quote: http://www.pewinternet.org/2014/08/06/future-of-jobs/
grokstream.com ● @grokstream