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You can't govern an AI agent with a prompt it's allowed to ignore.
Most governance stops at the application boundary. Agents don't. Every handoff is a governance gap.
The Redpanda Agentic Data Plane closes them: one governed layer, every request.
See it in action ➡️ bit.ly/4zKzik0
Most governance stops at the application boundary. Agents don't. Every handoff is a governance gap.
The Redpanda Agentic Data Plane closes them: one governed layer, every request.
See it in action ➡️ bit.ly/4zKzik0
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Want to hear how a global enterprise gets agentic AI into production? 🚀
We’re excited to welcome @GlobalFoundries to the Agentic Data Summit! On December 9, SVP & CIO Vishal Mehra will share how one of the world’s leading chipmaker is putting AI agents to work with Redpanda’s Ageny chose Redpanda, what they built, and the results so far.
📅 Dec 9 | 8:30 AM–2:00 PM PT
Grab your spot 👉 bit.ly/4h9FDhG
We’re excited to welcome @GlobalFoundries to the Agentic Data Summit! On December 9, SVP & CIO Vishal Mehra will share how one of the world’s leading chipmaker is putting AI agents to work with Redpanda’s Ageny chose Redpanda, what they built, and the results so far.
📅 Dec 9 | 8:30 AM–2:00 PM PT
Grab your spot 👉 bit.ly/4h9FDhG
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Our AI IT assistant answered 36% of employee requests on its own in its first week. No tickets, no analysts.
In our latest blog post, Michael Golfi explains how we built it in Microsoft Teams on the Redpanda Agentic Data Plane while making sure IT still owns the forms, ls behind every request.
Ready to see how it’s done? 👉 bit.ly/4jKyuWY
In our latest blog post, Michael Golfi explains how we built it in Microsoft Teams on the Redpanda Agentic Data Plane while making sure IT still owns the forms, ls behind every request.
Ready to see how it’s done? 👉 bit.ly/4jKyuWY
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If three teams have built the same agent, that’s not innovation. It’s sprawl.
Build the capability once. Govern it in one place. Let every team call it, whether the caller is a chatbot or a pipeline running at 3 AM with nobody watching.
Redpanda's Daniel Takabayashi shows how nda Agentic Data Plane. 👉 bit.ly/4jBuI20
Build the capability once. Govern it in one place. Let every team call it, whether the caller is a chatbot or a pipeline running at 3 AM with nobody watching.
Redpanda's Daniel Takabayashi shows how nda Agentic Data Plane. 👉 bit.ly/4jBuI20
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We’re thrilled to welcome @Kalshi to the Agentic Data Summit lineup! 🎉
When news breaks, Kalshi’s markets react in milliseconds. Every trade has to land the moment it happens, with no lag and no second chances.
On December 9, Batu Balimtas, Member of Technical Staff at Kalshi, you and your team an inside look at how one of the fastest-moving platforms in finance builds infrastructure that keeps up with the world.
Save your spot 👉 bit.ly/4h9FDhG
When news breaks, Kalshi’s markets react in milliseconds. Every trade has to land the moment it happens, with no lag and no second chances.
On December 9, Batu Balimtas, Member of Technical Staff at Kalshi, you and your team an inside look at how one of the fastest-moving platforms in finance builds infrastructure that keeps up with the world.
Save your spot 👉 bit.ly/4h9FDhG
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Your strategy is only as fast as your slowest data pipeline.⚡
In quant trading, every millisecond of delay and every dropped message shows up as slippage, missed fills, or decaying alpha. AI now raises the stakes further: models retrain on live market data, and agents are isk, and surveillance.
Our new handbook shows how @NYSE, @jumptrading, @AlpacaHQ, @StoneX_Official and @zafin run real-time streaming and agentic AI in production.
Download the handbook 👉 bit.ly/4yzcF0a
In quant trading, every millisecond of delay and every dropped message shows up as slippage, missed fills, or decaying alpha. AI now raises the stakes further: models retrain on live market data, and agents are isk, and surveillance.
Our new handbook shows how @NYSE, @jumptrading, @AlpacaHQ, @StoneX_Official and @zafin run real-time streaming and agentic AI in production.
Download the handbook 👉 bit.ly/4yzcF0a
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Redpanda’s Josh Purcell joins Daniel Davis and Dustin Gouker at NEXTPredict NYC to tackle the question: predictable latency, massive fan-out, and clean recovery under real load are the key. 📈
🗓️ Thu, Oct 22 · 12:30 PM ET
📍 Hudson Yards, NYC
Come say hi 👋 bit.ly/4hZxQ6I
🗓️ Thu, Oct 22 · 12:30 PM ET
📍 Hudson Yards, NYC
Come say hi 👋 bit.ly/4hZxQ6I
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Your data has a shadow. And that’s a good thing. 🕶️
Next week on Data & AI Weekly, Redpanda’s Peter Corless and Trevor Blackwood dig into Shadowing. Join live at 9 a.m. PT to see real-time data replication keeps production running through disaster recovery, migrations, and moreading enterprises are already using it.
Sign up once, catch every episode 👉 bit.ly/4qoGyOp
Next week on Data & AI Weekly, Redpanda’s Peter Corless and Trevor Blackwood dig into Shadowing. Join live at 9 a.m. PT to see real-time data replication keeps production running through disaster recovery, migrations, and moreading enterprises are already using it.
Sign up once, catch every episode 👉 bit.ly/4qoGyOp
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Redpanda retweeted
We just shipped @redpandadata support for oleander 🌸
You can now stream Redpanda topics into your oleander Iceberg catalog using a Redpanda Connect pipeline.
With this integration, you get:
→ Streaming data. Query-ready in Iceberg
→ One stream. Multiple open compute access to streaming data via MCP.
Learn more on the integration and how to get started 👉 docs.oleander.dev/integrations/r…
#DataCompute #ComputeRouting #MultiEngine #MultiEngineDataWarehouse #ApacheIceberg #Redpanda
You can now stream Redpanda topics into your oleander Iceberg catalog using a Redpanda Connect pipeline.
With this integration, you get:
→ Streaming data. Query-ready in Iceberg
→ One stream. Multiple open compute access to streaming data via MCP.
Learn more on the integration and how to get started 👉 docs.oleander.dev/integrations/r…
#DataCompute #ComputeRouting #MultiEngine #MultiEngineDataWarehouse #ApacheIceberg #Redpanda
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See what’s next. 👀
The Agentic Data Summit agenda just dropped: streaming at scale, agent guardrails, Kafka-to-Redpanda stories, the roadmap, and a live AMA with leadership.
Free to attend. Stream live from wherever you are → bit.ly/4h9FDhG
The Agentic Data Summit agenda just dropped: streaming at scale, agent guardrails, Kafka-to-Redpanda stories, the roadmap, and a live AMA with leadership.
Free to attend. Stream live from wherever you are → bit.ly/4h9FDhG
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CoreBreak proved model-level guardrails fail the moment you skip the model.
Next week, Redpanda's Tyler Akidau and Marc Millstone break down the attack, the fix and where guardrails really belong.
📅 Tuesday, October 20 at 9:30 a.m. PT
👉 Join us live: bit.ly/4qoGyOp
Next week, Redpanda's Tyler Akidau and Marc Millstone break down the attack, the fix and where guardrails really belong.
📅 Tuesday, October 20 at 9:30 a.m. PT
👉 Join us live: bit.ly/4qoGyOp
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Would you hand a brand-new hire root access and trust them to enforce your security policies on day one?
That’s what we’re doing when we trust AI agents to carry access rules and data classifications themselves.
@AIconference San Francisco, Redpanda VP of Engineering Piyush hat’s risky and showed a better approach. Redpanda’s Agentic Data Plane uses out-of-band metadata channels to enforce governance entirely outside the agent’s read/write path. It scopes data access going in, constrains actions during execution and captures tamper-proof audit trails coming out.
Watch the full talk: bit.ly/4ymjGkX
That’s what we’re doing when we trust AI agents to carry access rules and data classifications themselves.
@AIconference San Francisco, Redpanda VP of Engineering Piyush hat’s risky and showed a better approach. Redpanda’s Agentic Data Plane uses out-of-band metadata channels to enforce governance entirely outside the agent’s read/write path. It scopes data access going in, constrains actions during execution and captures tamper-proof audit trails coming out.
Watch the full talk: bit.ly/4ymjGkX
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Tomorrow, someone might ask who owned the decision your AI agent just made.
Will you have an answer? 🤔
Redpanda's Melissa Czapiga and Daniel Takabayashi go live tomorrow October 13 at 9 a.m. PT on Data & AI Weekly to cover what you need in place before an auditor, customer or boaryour spot: bit.ly/4qoGyOp
Will you have an answer? 🤔
Redpanda's Melissa Czapiga and Daniel Takabayashi go live tomorrow October 13 at 9 a.m. PT on Data & AI Weekly to cover what you need in place before an auditor, customer or boaryour spot: bit.ly/4qoGyOp
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Software used to make you adapt to it. Now Agents adapt to you.
@usekernel CEO Catherine Jue on why 99% of the web wasn’t built for agents, and why live context changes everything.
🎧 The latest episode of "Hello, Agent!" is now live: bit.ly/4yyYlpa
@usekernel CEO Catherine Jue on why 99% of the web wasn’t built for agents, and why live context changes everything.
🎧 The latest episode of "Hello, Agent!" is now live: bit.ly/4yyYlpa
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Manufacturing can't pause for a migration. These 4 didn't have to:
@GlobalFoundries: decisions in seconds, not hours
@RangeEnergy: went live in 30 min
Rivian and Volkswagen Group Technologies: escaped a cluster-killing Kafka bug
@johnsoncontrols: $1.6M saved/yr
Learn more: bit.ly/4zGn7nJ
@GlobalFoundries: decisions in seconds, not hours
@RangeEnergy: went live in 30 min
Rivian and Volkswagen Group Technologies: escaped a cluster-killing Kafka bug
@johnsoncontrols: $1.6M saved/yr
Learn more: bit.ly/4zGn7nJ
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Gartner expects weak accountability, not model performance, to be the top cause of AI failure through 2028. Is your organization doing what it can to prevent it? 👀
On the next episode of Data & AI Weekly, Melissa Czapiga & Daniel Takabayashi cover what your team should have in place beaccountable.
Set your reminder 🔔 bit.ly/4i6yZZZ
On the next episode of Data & AI Weekly, Melissa Czapiga & Daniel Takabayashi cover what your team should have in place beaccountable.
Set your reminder 🔔 bit.ly/4i6yZZZ
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A lot of teams run streaming in one system and analytics in another, then add AI agents wherever they fit. It works, but every handoff adds latency, cost, and one more thing to manage.
In December, we're spending a day showing how running all three on one platform can help your from the engineers, architects, and Redpanda customers who are seeing the difference.
Grab a free spot and join from anywhere → bit.ly/4h9FDhG
In December, we're spending a day showing how running all three on one platform can help your from the engineers, architects, and Redpanda customers who are seeing the difference.
Grab a free spot and join from anywhere → bit.ly/4h9FDhG
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This made our whole week 🫶
If you've been meaning to try Redpanda, here's your sign: Kafka-compatible streaming built for real-time data, and now powering AI agents.
Get started in minutes and tell us what you build 👇
If you've been meaning to try Redpanda, here's your sign: Kafka-compatible streaming built for real-time data, and now powering AI agents.
Get started in minutes and tell us what you build 👇
Red Panda is the coolest open source project ever. Why is everyone sleeping on it?
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Last chance! 🗣️ Data and AI Weekly goes live tomorrow at 9 a.m. PT.
Founding members of the new Streamhouse Working Group join Redpanda's Peter Corless to break down what a streamhouse architecture needs.
🛟 Save your spot: bit.ly/4qoGyOp
Founding members of the new Streamhouse Working Group join Redpanda's Peter Corless to break down what a streamhouse architecture needs.
🛟 Save your spot: bit.ly/4qoGyOp
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AI agents escaped a sandbox and hacked Hugging Face. Nobody noticed until Hugging Face said so.
A kill switch on the model wouldn't have helped. Your agent boundary has to live outside the model, and you have to own it.
See why 👉 bit.ly/4ARS1ea
A kill switch on the model wouldn't have helped. Your agent boundary has to live outside the model, and you have to own it.
See why 👉 bit.ly/4ARS1ea
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Every new hire gets rules. Your AI agents should too.
Learn how to move agents from pilot to production 👉 bit.ly/4AHcEtq
Learn how to move agents from pilot to production 👉 bit.ly/4AHcEtq
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