We’ve realized that what we’ve been
working on in individual government
departments, regional or national agencies
or public sector organizations are silos
of excellence. By adopting a platform
approach to enterprise service delivery
based on individual human performance
not only meets the needs of government,
but can reduce costs, improve citizens’
experience, and secure data environments
not just locally, but globally.
By approaching digital transformation
through a building block approach from
the individual to the national government,
breaking down silos at each level, we
can programmatically deal with each
challenge within the elements and sub-
elements of change along the way.
as decision making information, the
more we will understand the reliability
of that data stream. We will know
whether it has been tampered with,
modified or interrupted. Coupled with
AI’s ability to detect behavior anomalies,
we will have a higher level of trust or
confidence in the algorithmic outputs.
If we look at AI’s application to
transportation, we can see the
efficiency aspect AI plays linking
together multitudes of systems of
record, information or data into a
common view that allows you to
gain operational efficiency across a
multitude of best practice areas.
TRANSPORTATION USE CASE
Trust becomes more critical as we
aggregate information higher and
broader across previously siloed parts of
government—trust in source data, trust
in all elements and domains of security,
and trust in the AI recommendations
which are influencing human decision
making. If you don’t have trust across
these boundaries, across jurisdictions,
across systems, it is very difficult to
share sensitive information. So, what
ServiceNow, as a company, is doing
is putting forth the architectural
philosophy and design capabilities that
start to solve workflow problems for
organizations and countries around the
world with AI and machine learning. Container ships today carry up to 18,000
containers. The life cycle of those
containers is a perfect example where
AI, analytics, machine learning, and
process automation have a tremendous
opportunity. The container arrives at a
port where it is offloaded, checked for
security by Customs authorities, loaded
onto an 18-wheeler or rail car (train)
and sent to its destination. Imagine the
container being placed on and taken off
the ship according to a mix of variables
based on relevant data to ensure the most
efficient delivery: offloaded and placed
on the tractor-trailer to enter its route
during the optimal traffic period based
on weather or facility operating hours.
These technologies enable predictive
behavior analytics which sets the stage
for what we at ServiceNow describe
as “anticipatory government,” or the
ability – based on data – to pre-
empt problems before they erupt. This is only one example of an
extremely complex problem that
involves a multitude of different systems,
agencies, and policies working together
improved by the application of AI and
machine learning. These revolutionary
technologies increase an organization’s
ability to put complex elements of any
process into a contextual basis, which
considers various multi-level business
rule priorities to automate the lower
level decisions and provide enhanced
understanding for humans to engage in
Where we see the promise of AI is in
clarity and transparency of data which
presents information in context to support
human decision making. The more that
we can map and understand the source
of data that is aggregated and presented
higher-level data-driven decisions. This
comprehensive architectural view, which
begins with providing a solid technical
foundation, supports individual, group,
team, department, agency, government
and transnational enhanced capabilities
to support a global economy.
ServiceNow makes the world of
work, work better for people. For
more information, please visit:
www.servicenow.com.
Bob Osborn will moderate CES
Government’s Critical Infrastructure
Keynote Plenary panel “Cybersecurity
and Critical Infrastructure:
Energy” on January 11, 2020.
MEET BOB OSBORN
Bob
Osborn
is
Chief
Technology
Officer
for
Service Now (Federal). Bob
is an accomplished senior
executive who has held
many high level IT leadership
positions, including Director
of Logistics IT for the U.S.
Army G4, Deputy J6/CIO
for
U.S.
Transportation
Command, and CIO of the
National Nuclear Security
Administration where he was
responsible for the Nation’s
nuclear weapons design and
manufacturing information.