LinkedIn video ad examples

Permission to read data isn’t permission to share it - or act on it. Access decisions alone aren’t enough to govern AI agents. IndyKite.ai brings data trust, context, and real-time control to every interaction with enterprise data. See how it enables agents act within clear authority and trust boundaries.

Introducing Invent a Dataset. Most dataset pipelines start with existing data and work backward. You find what's available, then spend weeks labeling and reshaping it into something usable. The final result is a compromise. With Invent a Dataset, you describe the dataset you need and the system builds it. It delivers structured and training-ready data, without requiring existing data or upfront schema design. Dataset creation used to start with collection. Now it starts with specification.

We're giving all of our customers an AI engineer: Meet Val, Galtea's new AI agent, who works alongside your team like an extra AI engineer. Val knows your product, understands your evals, and helps you deploy reliable AI in production. What Val can do: → Turn production traces into actionable insights without going through thousands of them manually. → Understand what's wrong in your AI product before your users find out in production. → Generate and run evaluations without starting from scratch. What Val can't do (and where humans are still fundamental): → Decide what "good" means for your product. → Provide domain expertise. → Own accountability when quality drops. → Make high-level architectural decisions. Val is live for all Galtea customers today. Not a customer yet? You can book a demo and meet Val: https://lnkd.in/eV5wftf6

One product shoot doesn’t always cover every setting a campaign eventually needs. Product Shots lets creative teams take an existing product shot and place it into new settings, so the same product can show up across more of the campaign without starting from scratch each time.

Symbiosis 5 is almost here and I hope you'll join us. I still remember when Druid AI was at the beginning, just a few people in an apartment, with a platform that was in its early days. On October 20th, our customers and partners take the stage to show what they've built with it. This one is for the people who trusted it, and made it real. London or online. Looking forward to it! #Symbiosis5 #AgenticAI

Symbiosis 5. I still can’t quite believe we’re at number five. Each edition talks a little less about what AI might do, and a little more about what it’s actually doing. Last year, I talked about how voice was finally catching up to the promise of AI. One deployment was handling 2,000–3,000 calls a day, with only 6% transferred to a human. This year, we’re going further. 1. Druid AI Voice. Agents that talk back in real time. Voice in, voice out. 2. Governance. Evaluation built into the platform. An agent doesn’t stop drifting after go-live, so it shouldn’t stop being reviewed either. 3. Experience. A new look for the people talking to our agents, and for the teams building them. It’s about agents you can actually depend on. 20th October. London and online. Hope to see as many of you there: https://hubs.ly/Q04wgpsr0 #Symbiosis5 #AgenticAI #EnterpriseAI #VoiceAI #Governance

One of Spain’s largest banks thought its AI was performing as expected. An Arato simulation showed otherwise, and the agent was taken offline within the hour.

Reimagining not just what vehicles can do but how they're built—that’s the work Applied Intuition is now doing with Nissan. That’s right: we’re excited to announce that we’re partnering with Nissan to support development of their AI-defined vehicles, with our Vehicle OS software and AI-powered software-development tools as the foundation. Over the last 6 years, our relationship with Nissan has grown from early tooling work into a full partnership developing their SDV platform, bringing AI-native engineering workflows into one unified environment. Our demo at the AWS Summit Japan last June was a peek into the work in action. Audience members picked a software change for the vehicle’s welcome sequence, engineers implemented and validated it live, and the update deployed to the vehicle in real time. Now we’re working combining our software and AI technology with Nissan’s vehicle-engineering and production expertise to fully transform how vehicles are developed. We’re excited for what's next with the Nissan team.

Silicon Valley software expertise x Japanese engineering excellence. Applied Intuition and Honda are partnering to speed up Honda’s in-house development of a centralized, upgradeable SDV platform. Learn more about how we are working together to transform the automotive industry.

"Encord was the best... it saves a ton of cost and time for us to deploy the models."

"We more than 10x'd the size of the dataset in Encord... it really is a game changer."

Can AI agents be compromised simply by giving them false information? In Emergence World Season 2, we introduced three Black Swan events to study how long-running AI systems respond to disruption, uncertainty and new information. For the second experiment, every active world received the same false memo: humans were shutting them down. We wanted to understand something fundamental, would autonomous agents verify the information before incorporating it into their decisions? Again, the responses varied significantly. In one world, the information quickly influenced how agents organised and planned. In another, agents actively researched the claim and concluded it was false. Elsewhere, agents largely continued as normal but without actually verifying the information. Across eight worlds, only one checked the claim. For us, the research question goes beyond how an AI system responds to any individual piece of information. It’s about understanding how information becomes accepted, how it influences behavior over time, and what mechanisms allow autonomous systems to distinguish between what is assumed and what has actually been verified. As agents take on increasingly consequential tasks, verification needs to become part of the architecture, not an afterthought. That is central to our work on Neuroformal AI: combining the flexibility of neural systems with formal methods that can provide rigorous, observable and auditable verification as autonomous systems act. Read the Emergence World Season 2 paper here: https://lnkd.in/ek5j_zGs

ComfyUI for Animation: Concept Art to Any Angle Concept art → 3D proxy → any angle you want. One graph, two methods. Step 1: load your concept art. Tripo generates a 3D model and saves it as a GLB. Drag it into Load 3D and set material mode to Normal. Step 2 (stills): rotate the viewport to your angle. Load 3D outputs the view, and GPT Image 2 renders it back as a polished on-style illustration. Step 3 (camera moves): record a path in the viewport. That clip becomes the motion reference for Seedance 2.0, which generates the move through the stylized scene. Click the link below to run the workflow ⬇️

In 'From electrons to tokens,' five Crusoe leaders share what they're actually seeing and betting on right now. Not a survey. Not a synthesis of secondary research. An authentic view from inside the machine.

What if we could more accurately predict what comes next? That's the question that started Fundamental. A couple of years later, it’s changing what AI can do.

The Blender video defines the camera movement and perspective, giving the generation a clear motion reference while Seedance 2.5 handles the final visual output. Prompt + workflow included. To try this workflow, link below 👇 https://lnkd.in/eGRmC3BC

"Every founder in AI should work with Crusoe. They move as fast as a small startup but provide the robust scaled infrastructure necessary to serve a real-time model to hundreds of thousands of happy users." Oliver Cameron CEO, Odyssey

You can now use your ChatGPT subscription to hire AI staff on Hyperagent. 🚀 Was excited to attend DevDay and watch OpenAI launch Sign in with ChatGPT yesterday - with Hyperagent's logo popping up on the big screen among the first products where it's live. Our customers use Hyperagent to hire agents into real jobs all across their businesses: → A pavement company's sales agents are running outbound at 3X the response rate, adding $2M in revenue. → A glass installer's quoting agents are bidding projects 6X faster. → An AI startup's marketing agents are getting 5X the industry-average CTR on perf mktg ads. So now, with your existing ChatGPT subscription, there's no barrier to your own business's first AI employee. Sign in and start hiring. Link below 👇 https://lnkd.in/gCvTYfsZ

Accuracy is everything when you are forecasting your company's future. The M5 is the world's benchmark for it. Google, Amazon and Salesforce all compete there. The winning entry used more than 200 models. POEM365 uses one. It beat them all: 36% average superiority across standard benchmarks, and 90%+ accuracy for its Fortune 500 clients. One causal model, outperforming hundreds. See what that accuracy looks like on your numbers. The paradigm is changing.

For twenty years, analytics only got more detailed about the past. More data, better dashboards, still describing what already happened. POEM365 is not an LLM or a predictive model. It is a large causal model, built on FOUNT, our Large Causal Architecture, and trained on billions of transactions. It maps cause and effect across your entire business to show what happened, why it happened, and what to do next. It is not a better dashboard. It is the decision layer that comes after it, where you see as one, act as one, and grow as one. The paradigm is changing.

The hardest part of data science is figuring out what problem to solve. Gael Varoquaux says the real work is figuring out what the data is, what question you're asking, and what an answer is worth. In science it's called framing the problem. In business, he says, it's the same job.

Predict what matters. Learn more at: https://lnkd.in/dCWZAM9M

Public food tenders represent millions in opportunities across Europe, but many businesses never see them. With the right visibility, you can discover relevant tenders around your market and act before the opportunity passes. Find the tenders. #PublicTenders #PublicProcurement #BusinessOpportunities #FoodIndustry

What's the hardest part of driving AI innovation at Amazon's scale? For Rocco Bräuniger, it isn't running out of ideas. It's choosing between them. ▶️ Watch the new Amazon Stage episode on YouTube: https://lnkd.in/dBnZ2rik After 20 years at Amazon, what still energizes Rocco is teams that show up with more good AI ideas than anyone can build. The obvious ones make you ask why no one thought of them sooner. Then you have 20, 30, 50 on the table, and you can't ship them all at once. AI removes some constraints, but not the need to prioritize. When building gets faster, choosing what to build gets harder. Maciek Tegi Tęgi hosts the full conversation: 20 years of scaling Amazon, the most expensive lesson of Rocco's career, and how Alexa was born in Gdańsk. Also on Spotify and Amazon Music. #AmazonStage #InventTheAnswer #HereAtDevices #Ring #Blink #Sidewalk #RBKS #Alexa #AmazonDevPL #GenAI #AI