FEATURE: STAFF RESOURCES
AI to become a strategic differentiator.
For example, a sales organisation wants
to increase the size of its sales force to
boost revenue. That expansion would
benefit from insights gleaned from HR
data (hiring trends and history, training,
benefits etc.) and finance data (budgets,
local tax implications of opening new
offices etc.) and not only from sales data
(revenue projections, sales productivity).
Enterprise AI would allow organisations
to gather, centralise, analyse and act
upon that cross-departmental data far
more easily. load and health. Enterprise AI at the
platform level will allow more people
within the company to reuse existing
common AI services and also leverage
more data streams for machine
learning (we know now that deep
learning needs enormous data sets;
trillions versus billions of data points to
become truly effective).
Another example; a company’s IT
department is stretched to manage
networks and servers in its own data
centre, as well as manage a cloud
provider’s compute capacity for testing
and development of new apps and
storage on a private cloud platform. Be realistic about AI and Implement
an integrated strategy. With the
right approach- implementing an
enterprise AI strategy that brings
together customer data, enterprise
data, and structural data through
integrated applications, platforms and
infrastructure; you can make informed,
proactive, game-changing decisions
faster than your competition.
Enterprise AI can automate
provisioning, coming up with
suggestions of when to downsize or
burst into the cloud by taking into
account IoT data on the data centres’
52
INTELLIGENTCIO
While each of the scenarios would work
very well even in isolation; imagine how
transformative it can be when adopted
at an enterprise level.
This approach requires partnering with
an enterprise AI provider who can help
you piece together insights gleaned
from structured and unstructured
data sets across your entire enterprise,
integrating many different silos. Point
solutions are a very short term option
and will complicate strategic decision
making in the future.
How can IoT become a valuable
resource for those working for
an enterprise?
Experts predict that data’s importance
will only continue to grow. The Internet
of Things (IoT) will connect 6.4 billion
devices worldwide in 2016 and exceed
20 billion intelligent, connected things
by 2020, according to Gartner Inc.
These devices are generating more
and more data. Software is being
embedded in more and more products,
from automobiles to televisions to
prescription medications, and they’re all
generating data.
This scenario creates opportunities to
analyse data and that data analysis
creates value. n
www.intelligentcio.com