SAP NOW Agenda

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The federal workforce faces a generational inflection point. An over-taxed talent pipeline, accelerating technology, and rising public expectations are converging to demand a fundamental rethinking of how government attracts, develops, and empowers its people.
This panel takes a candid, solutions-oriented look at the strategies and tools reshaping federal talent - from skills-based hiring and AI-enabled workforce planning to the platforms agencies are deploying to manage their most critical asset: their people.

For 250 years, American industrial strength has been inseparable from American security. Today, global competition, concentrated supply chains, and a defense industrial workforce facing more than 800,000 open positions are demanding a new generation of American industrial capacity while also driving the most significant reinvestment in domestic manufacturing in a generation.

This panel examines how government and industry are working together to build a more resilient foundation - strengthening the supply chains, resources, and digital infrastructure that every mission depends on.

The American experiment has always been a story of invention - from the telegraph to the transistor to the internet, each era has brought a defining technology that expanded what government could do.

Now, a new transformation is underway - and it may be the most consequential yet. Artificial intelligence is no longer a pilot program or innovation lab curiosity. Nearly 90 percent of federal agencies are already using or planning to deploy AI, and agentic systems capable of reasoning, planning, and executing complex tasks are moving from concept to production. The question facing government leaders is no longer whether to adopt AI, but how to scale it responsibly, securely, and at the speed of mission.

This panel takes a broad look at how government and industry are navigating the shift from experimentation to enterprise - scaling AI, governing it wisely, and building the data infrastructure that makes it all possible.

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