10 steps to Federal agency
AI readiness
While federal agencies are making significant headway moving IT workloads to multiple cloud service
platforms, many face a variety of challenges in managing the growing complexity of their complete
IT environments.
Automation through artificial intelligence (AI) provides a solution for greatly simplifying cloudcomplexity while accelerating digital transformation. The potential benefits are vast, but undertaking
AI initiatives requires careful planning, a measured approach and a cross-team effort to ensure better
mission outcomes.

10 stepsfor successful AI adoption

STEP 1

STEP 2

STEP 3

Clearly define goals andobjectives for your AI
initiative from the outset.
There are myriad use
cases — customer service,workforce management,
reducing fraud, quality
control, improved defense— limited only by theimagination. As you get
started, determine wheretargeted investment needs
to be made to get themaximum mission velocity.

Ensure there is budget
approved and available
for your AI initiative —both for research and forall of the supporting ecosystem and infrastructure
required for the initiative
to work.

Pursue targeteduse cases where large
productivity gains canbe made and ROI proven.

STEP 4

STEP 5

STEP 6

Ensure high fidelity
sources of good quality
data to enable trustworthy
AI systems. That requires
observability of data
telemetry from a breadthof data sources. Make surethe data is ready, labelled
and available to be used
for testing and training.

Start small, and workfrom there. Focus onwhere you think you canbe successful, and enlistchange agents in theorganization who arewilling to help. Designsystems to be scalable
so more data and analysis
can be added over time.

Test from the very
beginning to support
an agile-styledevelopment process.

STEP 7

STEP 8STEP 9Make sure resulting
datasets produced
through AI systems canbe understandable
and digestible by all
who need to use it;otherwise it won’t
be trusted.

Engage end users ina shared responsibility
model — they need to do
more than throw data over
the wall and wait for a
final solution back; it willneed strong partnershipto be successful.

Facilitate culturechange; employees mayneed to learn new tools
and skills to make use ofwhat the AI produces forthem. Step users throughtraining and learning in
bite-sized chunks so they
don’t feel overwhelmedor reject new solutions.

STEP 10Create enabling
systems for other teams
to adapt AI to their specificuse cases. Be sure to sharelessons learned — thegood and the less so,
so everyone can learn
and benefit.

A recent report from the National Security Commission on Artificial Intelligence (NSCAI) assesses wherethe U.S. government currently stands on AI, and calls for industry partnership in AI adoption.
At Dynatrace, we are committed to supporting and engaging with federal agencies to help
meet that target. Dynatrace automated solutions — designed to provide end-to-end observabilityof assets, applications and performance across legacy and cloud systems — empower agencies to utilize
AI to do more with current capabilities, while speeding response times, reducing redundant workand multiplying productivity.

Ready to get started?
Learn more

About Dynatrace
Dynatrace provides software intelligence to simplify cloud complexity and accelerate digital transformation. With automatic and intelligent observability at scale, ourall-in-one platform delivers precise answers about the performance and security of applications, the underlying infrastructure, and the experience of all users to enableorganizations to innovate faster, collaborate more efficiently, and deliver more value with dramatically less effort. That’s why many of the world’s largest enterprises trust
Dynatrace® to modernize and automate cloud operations, release better software faster, and deliver unrivalled digital experiences.

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11.02.21 14288_IG_USlet_cs@dynatrace