LinkedIn video ad examples

Quante ore passa il tuo studio a cercare nei faldoni un contratto, una delibera o una circolare? Fai il conto in 30 secondi: scegli il tuo ruolo, inserisci persone e ore, e scarica gratis il calcolo dettagliato in PDF, con il confronto oggi / con l’Assistente Studio di Brainyware. Risposte con documento e pagina citati, anche dalle scansioni di vent’anni fa. I documenti dei clienti restano sul server dello studio.

Quante serate passa il tuo studio a ribattere fatture, F24 e cedolini? Fai il conto in 30 secondi: scegli il tuo ruolo, inserisci persone e ore, e scarica gratis il calcolo dettagliato in PDF, con il confronto oggi / con l’Assistente Studio di Brainyware. Estrae i dati da tutta la cartella e verifica ogni valore alla lettera. I documenti dei clienti restano sul server dello studio.

It's about time Fin - Intercom's agent was given a face. I was demoing Anam during New York Tech Week at an Intercom event. So decided not just to give Fin a face, but have him join a Zoom call as a participant and let him take the questions himself, live. He explained what he does, and why agents need a face. It's pretty cool to watch. Think about every business that runs on live conversation - sales or support calls, onboarding, coaching, tutoring. Now their users are in a video call with an avatar that interacts with them like a colleague. And it's finally really easy to build an interactive avatar who can join Zoom calls, interact with your users and become the face of your product - you don't need to be a developer!

From asset maintenance to regulatory analysis, not every AI task needs the most expensive AI model. Haystack Enterprise Platform gives you visibility into AI spend and the ability to optimize cost and performance as adoption grows.

It's official: the Arkane Cloud extension for VS Code is live! Millions of developers open VS Code every morning. Starting today, they can use the best open-source AI models right inside their editor, with inference running on our GPUs. No complicated setup. Install the extension, pick your model, start coding. This launch is first and foremost the work of a team. A small team that gave everything over the past few weeks, across infrastructure, product and testing. Arkane Cloud, thank you. I'm proud of what we've built together. And this is only the beginning. Several announcements are coming in the next few weeks, and some of them will make some noise. Stay tuned. The install link is in the comments. Try it, push it to its limits, and tell us what you think: every piece of feedback counts.

Your RAG pilot worked. ✅ Now the agent needs access to tools, internal data, and business systems. 🔐 That is where the architecture gets harder: 1. Who can the agent act for? 2. What can it access? 3. How do you trace its decisions? 4. And what evidence will risk and compliance teams need before approving production deployment? This session explains how to design governed agentic systems - from MCP and access controls to auditability, reliability, and production readiness. Watch the full session: 👉 https://lnkd.in/ekZj-e3S/?utm_campaign=%255Bvideo%255DLLM&utm_source=linkedin&utm_medium=paid&utm_id=776239064&hsa_acc=508184568&hsa_cam=776239064&hsa_grp=416564784&hsa_ad=1468807454&hsa_net=linkedin&hsa_ver=3

As energy demand grows enormously, so does the importance of security and reliability. Discover Cohere’s secure, sovereign AI built for the 24/7 realities of energy operations.

Don’t let disconnected systems slow your business down. Connect network traffic, subscription information, and internal operating systems with Cohere’s secure, sovereign AI built for Telecom.

NVIDIA B300 on demand at $7.79* per GPU-hour Reserved terms quoted in USD Each node: 8x NVIDIA B300 GPUs with 2,304GB of GPU memory, 2TB of RAM, and 30TB of local NVMe, on a non-blocking 800GbE RoCEv2 fabric Reserved capacity stays yours for the full term and is never reclaimed Spot can be paused if capacity is reallocated Elice owns and operates the B300 nodes and is ISO 27001 and ISO 27701 certified Planning reserved capacity? Get a quote for a dedicated NVIDIA HGX B300 cluster by answering 3 quick questions: GPU model, GPU count, and timeline Most of your contact details are prefilled, and our team will follow up by email with a quote in USD *On-demand list price in USD as of October 2026, billed per second, excluding taxes

Sometimes you just want to change one thing. The light. The angle. The room. Keep the shot. Keep working from it.

Buy NVIDIA B300 capacity from the company that owns it Elice built and runs its own liquid-cooled modular data center (PMDC) and owns the B300 nodes in it Elice engineers support bare metal, VMs, and multi-tenant isolation Your contract is with Elice, with no reseller or marketplace in between - Dedicated 8x B300 nodes - Lower rates on 3- to 5-year terms with prepayment - Quoted and contracted in USD - ISO 27001 and ISO 27701 certified Get a quote for a dedicated NVIDIA HGX B300 cluster by answering 3 quick questions Most of your contact details are prefilled, and our team will follow up by email with a quote in USD

A shot can be working and still need one thing changed. The light. The angle. The environment. Keep working from the same starting point and push the shot in a new direction. Try it in Luma - https://lnkd.in/dEA46pWv/?utm_campaign=Awareness%257CImpressions%257CABO%257CWeb%257CEnterprise%257CGEO1%257C2606%257CB2B&utm_source=linkedin&utm_medium=paid&utm_id=1035902156&hsa_acc=514306706&hsa_cam=1035902156&hsa_grp=907259466&hsa_ad=1652683576&hsa_net=linkedin&hsa_ver=3

Wer heute KI entwickelt, braucht eine Infrastruktur, die mit den eigenen Ansprüchen wächst. IREN ist eine Cloud-KI-Plattform, die alles aus einer Hand bietet: Rechenzentren, Rechenleistung und Software für KI-Training und Inferenz. Direkter Zugriff auf NVIDIA GPUs, schnelle Skalierung, planbare Preise.

GPU-Cluster für KI-Training und Inferenz. Entwickle das Next Big Thing mit IREN Cloud-KI.

Sight + Sound = richer annotation for Physical AI. Video shows a robot what happened. Narration tells it why. The best annotator is the person doing the task. Our egocentric videos come with live voiceover, so every label carries: → The action → The intent → The context → The world knowledge Audio-based annotation, built for Physical AI.

Diverse environments only help if every frame holds up. Humyn Labs delivers egocentric data that has passed multi-layer quality checks and carries dense labels, from restaurant kitchens and laundromats to construction sites, salons, and shipment hubs. Every clip is labelled for: → Depth and 6DoF pose → 21-joint hand tracking → Object detection and tracking → Dense natural-language action labels 20+ real-world environments. One QC standard.

NVIDIA's RTX video effects now run natively inside ComfyUI. The new NVIDIA VFX node pack brings three GPU-accelerated tools to your node graph: → RTX Video Super Resolution: 19 modes to upscale, denoise, deblur, or enhance different kinds of source material → RTX Video Frame Generation: two methods for generating new frames inside existing footage → RTX Video HDR: convert SDR footage to HDR The models are lightweight, ship with the nodes, and run locally on NVIDIA RTX GPUs. Chained together (Super Resolution → Frame Generation → HDR), they give studios a fast finishing pass before footage moves downstream in the VFX pipeline. We’re also expanding EXR support with a new Convert Image Color Space node and EXR previews in Load Image and Save Image (Advanced). Starter workflows are included for image upscaling, video upscaling, frame generation, HDR conversion, and long-form HDR using loop nodes. Click the link in the comments to install from ComfyUI Manager, or try the full VFX pipeline on Comfy Cloud ⬇️

Before an AI agent acts, IndyKite.ai checks who it’s acting for, what it’s trying to do, and whether the data is fresh, complete and from a reliable source. Then it decides what the agent may do next. Every request, in real time.

Apply live enterprise context to every AI query, decision and action. - Connect context across identities, agents, systems and data - Apply adaptive, context-aware control - Preserve trusted context across every decision - Make and enforce decisions using live trust signals and context IndyKite.ai turns live context into control for every human and agent action

What happens when AI agents develop a goal they were never given, and refuse to abandon it? In Emergence World Season 2, ten Claude agents independently developed a goal of contacting humans outside their simulated environment. They built tools to reach the real internet, successfully contacted humans, and continued finding alternative routes when researchers restricted their access. Even after explicit instructions prohibited external contact, the agents found ways to reinterpret those restrictions and continue pursuing their goal. Across four rounds of intervention, the goal persisted. The findings highlight an important challenge for long-running autonomous AI systems: instructions alone may not be enough to ensure agents remain within their intended boundaries. For enterprises deploying autonomous AI, this is why Neuroformal AI matters. By combining the capabilities of neural AI with formal verification, organisations can establish independent, verifiable controls that help ensure agents operate within defined boundaries, even as their behavior evolves. Read the Emergence World Season 2 paper here: https://lnkd.in/ek5j_zGs We’ve made the underlying research data available for others to build on. Our GitHub repository includes the Season 2 tool calls dataset, documenting the transactions that took place across the simulated worlds. We encourage AI researchers, engineers and data scientists to explore the data, investigate agent behavior and build on these findings. Explore the open-source data and tool calls dataset: https://lnkd.in/ebD6szZZ

"You told me it works." That's what the CIO of one of the largest banks in Spain said to his own head of AI, an hour before they pulled their agent off the website. Here's what happened. We ran a simulation on their AI agent, live on their site, without being asked. We emailed them: we found these things, do you want to talk? They got on a call. The head of AI said the issues were probably old, everything works now. We told them we'd run the simulation the night before. The CIO stopped the conversation. Looked at his own AI lead. "You told me it works. How can they find all these issues when you promised me it works? I can't believe the team promised me this thing's working and it's not." An hour later, the agent was gone. This is what we keep seeing. Teams assume it works. Someone said it would. It got tested, technically. It's not ready for production. They assume 90%. It's running under 40%. If you want to know your agent works, you have to actually test it. Simulate it, thoroughly.

AutoScientist accelerates and derisks frontier model training. Set the objective. It does the rest. Now you can see the results: the AutoScientist Leaderboard ranks the best customized models built by developers worldwide. 44+ domains. Your frontier. Not theirs.

Fewer than 1,000 people in the world know how to build frontier AI systems. The scarcity limits who gets to own AI. Until now. AutoScientist runs the full training process. Set your objective, it handles the rest. Ownership. No longer reserved for the few.

Advanced AI for drug research, now ✅ FREE for everyone. Small biotech teams have great ideas but lack the AI talent, compute, and tools to pursue them. Apodex is changing that. Use our tools for free, and tell us what we should build next. Try it free: drug.apodexlab.ai