Eric Kavanagh on #DMRadio

My Little Brother is gone. You left us too soon! You were such a beautiful boy who grew into a wonderful man! I'll miss you always, my dear friend. I still see your smile and hear your laugh. You will live forever in my heart, and through your wonderful children. CU in Heaven!

@MarshaCollier @AkwyZ @dhinchcliffe @eric_kavanagh @TheFuturumGroup @MeghanMBiro @thomaspower @CTOAdvisor @geoff_deweaver @JimMarous Point taken!

@MarshaCollier @AkwyZ @dhinchcliffe @eric_kavanagh @TheFuturumGroup @MeghanMBiro @thomaspower @CTOAdvisor @geoff_deweaver @JimMarous Not in EU :)

@AkwyZ @dhinchcliffe @eric_kavanagh @TheFuturumGroup @sarbjeetjohal @MeghanMBiro @thomaspower @CTOAdvisor @geoff_deweaver @JimMarous For years employee creations have often become the property of the employer. This goes back further than I can recall. Gatorade is a good example. We have to figure out a way to encourage employees to create good quality content versus just giving them a small bonus.

@sarbjeetjohal @AkwyZ @dhinchcliffe @eric_kavanagh @TheFuturumGroup @MeghanMBiro @thomaspower @CTOAdvisor @geoff_deweaver @JimMarous That doesn't invalidate my comment. We live in a global society now. Good to know that the EU has such protections.

@eric_kavanagh @TheFuturumGroup @sarbjeetjohal @MarshaCollier @MeghanMBiro @AkwyZ @thomaspower @CTOAdvisor @geoff_deweaver @JimMarous Yes, we’re seeing reports that workers are been screen-recorded 24x7 to document their work so AI can be re-trained on it. Likely to turn into a major point of employment contention unless there’s a fair model for transferring work to AI. Humans + AI must work together!

@dhinchcliffe @eric_kavanagh @TheFuturumGroup @sarbjeetjohal @MarshaCollier @MeghanMBiro @thomaspower @CTOAdvisor @geoff_deweaver @JimMarous That's a valid concern. In some regions, such recording is illegal. Balancing AI integration with fair employment practices is crucial. Collaboration between humans and AI can lead to better outcomes if handled thoughtfully.

@IranIntl_En I saw a video of someone that has designed a tracking system using 3 separate lenses to lock onto the drone and fires. The weapon is automatic rifle that can reload manual using a clip. All homemade. Never misses but the demonstration was done in daylight. Not sure about night.

@IranIntl_En CRAMS or R2D2 are 20mm Gatling guns with ONLY a 500 round box ammo load. It takes more than 20 minutes to reload them. Plus the barrels ARE NOT water or liquid cooled, so they have to go through a cool-down every 100 rounds. In battle, time is your enemy.

@dhinchcliffe @TheFuturumGroup @sarbjeetjohal @MarshaCollier @MeghanMBiro @AkwyZ @thomaspower @CTOAdvisor @geoff_deweaver @JimMarous Sounds like some legislation may be required. That will be a challenging document to write! Thanks for sharing this, Dion.

Something very important for most people to understand is now happening inside parts of the tech industry right now. Companies aren’t just automating work. They’re systematically extracting it. Across firms like Atlassian, Amazon, and Block, a new pattern is emerging: Knowledge extraction sprints. These are structured, time-bound efforts to capture how top performers actually do their jobs in the wild. This is not sanitized documentation, viability testing, or training decks, but real, proactive cross-training of AI systems on what workers actually do. And then using AI agents to do the work humans previously did instead. Not documentation. Not playbooks. Action. Doing the work. • Screen recordings are made of live work • Decision paths and tradeoffs are captured • Debugging flows and problem-solving sequences saved • Even strategic judgments in real time This is a key missing ingredient for agentic AI. The constraint is no longer model capability, it’s access to how work actually gets done inside high-performing teams. These extraction efforts convert human expertise into machine-readable workflows that agents can execute. That’s the real shift and it has major pros and cons. We have started moving from tools that assist work… to systems that precisely replicate how work is done. Once captured, that knowledge doesn’t just scale. It detaches from individuals, from teams, and eventually from labor itself. The organization begins to move from human-executed to system-executed work. This is where the slope gets quite slippery. Because the message to employees is increasingly clear: Your job is no longer just to perform work. It is now to teach the system how to perform the work instead. That is a very different psychological contract, and it breaks trust much faster than most leaders realize or anticipate. We must now expect rapid changes in employment norms: • Fewer senior roles anchored in experience • More junior + agent combinations executing work • Institutional knowledge shifting from people into systems For CIOs, this is not about AI adoption. It’s about who owns execution inside the enterprise. If vendors or external platforms are capturing and encoding your workflows, you are effectively outsourcing your operating model. Governance alone will not solve this. You need new operating structures that are designed for this reality: • Human and agent collaboration as a first-class design principle • Internal ownership of critical workflows and decision logic • Agent orchestration as a core enterprise capability This is organizational architecture now, not tooling strategy. For technology leaders, the tradeoff is even sharper. Knowledge extraction at scale can create enormous leverage — but it can also destroy trust and actually lose institutional knowledge if handled poorly. And without trust, the flow of high-value knowledge work will slow or stop entirely. The enterprises that navigate this successfully will be explicit about the new contract: • What is being captured and why • What remains uniquely human • How employees evolve and gain leverage in an agentic system • Basic fairness on how workers are treated Because the end state is no longer theoretical. • Agents execute • Humans orchestrate • Organizations become programmable And right now, we are watching the first companies figure out how to capture, and ultimately own, how work actually happens. We should learn how to do this right, while ensuring humans still have a strong stake in the resulting systems.

An LLM is a reasoning engine, NOT a knowledge base. It knows how the world works, but it doesn't know YOUR contracts, specs, or policies. The RAG Fix: ✅ Grounding: Tie the model to actual facts. ✅ Accuracy: Stop hallucinations before they start. ✅ Context: Turn a genius mind into a knowledgeable expert. "An LLM without a vector database is like a genius with short-term amnesia." 🧠💨 Watch the full DM Radio episode with our CEO @ashashutosh and host @eric_kavanagh here: youtube.com/watch?v=cuDj53…

Excited to share that we closed our $10M Series A led by @Venrock! 📷 But this isn't just about the funding – it's about accelerating our vision of agentic data intelligence and transforming  how you manage and understand your data. Read the full blog: blog.getcollate.io/how-collates-s…

Metadata is fast becoming the most important aspect of data that organizations need to get right. If you are wondering what metadata system is right for you, please check out the blog blog.open-metadata.org/why-openmetada….

@TimSheehyMT Ya know, it's kinda hard to deny the role this amazing woman played in the revolution underway.

Smoke 'em if you got 'em. #Iran

GenAI agents get a serious upgrade with evaluators that pinpoint database, prompt, and process improvements. It's about identifying and suggesting enhancements for smarter operations. #GenAI #AI

AI is transforming claims processing, boosting efficiency and morale. Discover how this non-linear technology tackles complexity head-on. #AI #ClaimsProcessing #Efficiency

New strike on the Taleghan 2 facility at the Parchin military complex is visible in imagery taken today by Vantor

Meet Watson, the AI revolutionizing claims investigations. It uses the Next Best Action (NBA) Machine to analyze inputs, suggesting actions with confidence levels to drive automation. #AI #Automation #ClaimsTech

At its best, technology should unlock what makes us our best—in our personal lives and professional lives. That’s the vision driving Conga forward. – Dave Osborne @CongaHQ #CongaConnect2026 bit.ly/4s9cyGm

What does it mean when @CongaHQ and @PROS_Inc come together? More people....more customers...more community. But also means more change and more opportunity to address complexity. Big issues on the table here at #CongaConnect