Mark Johnson @MarkJohnsonIT
Helping Federal orgs get more from emerging tech. Husband, father, retired Navy pilot. Databricks employee, but all opinions all mine and only mine. Virginia, USA Joined July 2017-
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I think data management will be one of the defining leadership challenges of the AI era. Two teams can look at the same business & produce different numbers because they pull from different sources. When those inconsistencies feed AI systems that people rely on for major decisi…
Watching Kellie's organizing work has reinforced something a core belief: people underestimate the value of structure. Disorganization creates friction. Time gets spent looking for things, revisiting decisions, and navigating confusion. Good systems free people to focus on wha…
A few years ago, it would have been strange for an AI conversation to focus on electricity. Today, data centers are buying power developers as they struggle to meet demand. I didn't expect one of the more interesting AI stories of 2026 to involve power companies, but here we a…
On my way to #DataAISummit in SF! If you're here, lmk and let's talk federal IT solutions!
The DoD's AI Acceleration Strategy is directionally right and the $30B budget request for infrastructure is also good. Now let's work together to show how to securely share data so everyone who needs it, has it! ift.tt/JpHqDk2
DoD's contested logistics sprint includes an AI tool to help commanders make real-time decisions. The hard part: connecting data across commands. AI is as good as it's data. nationaldefensemagazine.org/articles/2026/…
$29.5 billion to centralize & scale DoD's AI computing infrastructure is a huge investment. I'll be interested in seeing what gets ingested into all that compute. $30 billion of infrastructure running on poorly governed data might produce faster decision… ift.tt/mUuX6so
A miscoded field in one program office is a minor annoyance. The same field ingested into an enterprise AI system across twelve offices informs four months of award decisions before anyone notices. Scale only buries data problems deeper and spreads them wider.
894 million tokens per day in agentic workflows during Operation Epic Fury. Compute bottleneck is a serious concern. But I'd push back gently on where the focus should actually be. The data governance layer underneath those workflows is the constraint ge… ift.tt/Swc39rh
Stop by the @databricksinc.bsky.social table at the AFCEA Bethesda Health IT Summit this week and let's talk about enabling the workforce with better data and analytics to improve health outcomes!
Eight AI vendors now have agreements to deploy on DoD's classified networks. Buried in the announcement: it's not clear how the department plans to use them. Access and readiness to deploy responsibly are different problems. Adding vendors doesn't solve … ift.tt/6OCdDxI
The Army automated 150+ workflows with CDAO's Wingman & got back 687,000 work hours & $37M in cost avoidance from operational use. But federal data ownership is murky & automation will amplify problems if the right data governance layer is not in place. ift.tt/qFtKjU4
Everyone has AI tools. Almost nobody answers the most important questions before deploying them: which tools are trusted for which decisions, and who owns an output when it's wrong. It's a governance gap that exists long before the tool goes live. It just becomes visible six m…
DoD has decades of data across every domain. The harder question is whether the workforce can tell you which sources are authoritative and trustworthy enough to act on. That's an issue with data maturity, and policy reforms alone won't solve it.
When direction changes, the instinct is to get straight to solutions. Before that, the team needs to understand why the work still matters and how the new direction connects to what they were already doing. Skip that conversation and the execution always suffers.
Looking forward to the AFCEA DC luncheon on May 13th on operationalizing agentic AI for DoW. With agentic AI, the system takes actions autonomously. A bad output can execute a bad decision before anyone reviews it. That's a governance problem & I'm curio… ift.tt/i40opd5
Agencies are losing 25–35% of their statistical staff while standing up AI at scale. To be successful, we must invest in the tools that ingest, prep, and govern the data as much as the flashy AI tools that use it. ift.tt/iWIcpMr
AI pilots run on data someone prepared specifically for them. Production runs on data the way it actually exists: pulled from different systems, inconsistent, and nobody owns it. And that's why most pilots don't survive the transition.
Just got this internal email on Genie Code progress! For the first time, we have MORE code written by Genie Code than by humans on the platform.
DoD has no shortage of AI pilots. What it has a shortage of is deployments that made it to production and stayed there. The data strategy, lineage, and governance underneath are what determine which pilots survive the transition. ift.tt/Mk8vPEe
Qnary @qnary
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Nina von @elvirahgmm
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Ashley Thompson @Ashleyy_Toie
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Databricks AI Researc... @DbrxMosaicAI
51K Followers 120 Following We remove the barriers to state-of-the-art generative AI model development and make data + AI available to all.
Databricks @databricks
93K Followers 1K Following Databricks is the Data and AI company, helping organizations build and scale data and AI apps, analytics and agents.
John Saylor @JSaylorIII
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Scott M. Graffius @ScottGraffius
9K Followers 4K Following Agentic, Autonomous, and Autopoietic AI | Agile | Project Management and PMO | Teamwork | Author | Speaker | Generated Over $2.5 Billion in Business Value
Molly O’Shea @MollySOShea
63K Followers 879 Following Investing & Tech →Newsletter/Podcast @Sourceryy | HUGE Fan @brexhq @Turingcom @public @deel
Evergreen Intel @vcdgf555
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SaaStr.ai @saastr
65K Followers 1K Following World’s 🌍 largest community for B2B + AI founders, execs & VCs. ➡️https://t.co/nA1aNGxZiA. Learn to scale faster at ▶️https://t.co/waF8ZjGE1y
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Ameritocracy @Ameritocracyshw
93 Followers 88 Following Evaluating where effort and talent meet opportunity. Hosted by @Troy_Edgar. New #podcast episodes premiering every Monday on YouTube, Apple & Spotify.
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Helen Yu @YuHelenYu
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