LinkedIn image ad examples

Find the “why” behind agent failures. Join our live product webinar to see how Fiddler Agentic Observability treats agents as first class citizens and connects system wide health to span level metrics. You will learn how to combine evaluations with monitoring in production to build a continuous feedback loop that improves performance, safety, and ROI. See how the Fiddler platform brings visibility, context, and control across the agentic hierarchy so that you can deliver scalable, production-ready agents.

You didn't become a marketing leader to manually pull campaign reports or chase down content updates all day. Imagine AI workers handling content repurposing, lead scoring, campaign analytics, and social scheduling while you focus on strategy, creative direction, and driving pipeline. This eBook shows you exactly how to build 6 AI marketing workers (no code needed) that eliminate repetitive work and give you time back for high-impact campaigns and team leadership.

You didn't become a marketing leader to drown in spreadsheets and status updates. Imagine AI workers handling content production, campaign reporting, lead routing, and data analysis while you focus on strategy and growth. This eBook shows you how to build 6 AI marketing workers (no code needed) that handle the repetitive work so you can lead.

Find leads by tech stack, hiring, social signals, and more

You create premium research reports. Track downloads. Then... nothing. You don't know: → If anyone actually reads them → Which sections resonate → Who's a real buyer vs. tire-kicker → If they're being shared with competitors Join research marketing leaders Nov 5 (11am EST) discussing: ✅ How to capture leads INSIDE your reports (not just at download) ✅ Track page-level engagement across all your research ✅ Stop readers from copying to ChatGPT with in-doc AI ✅ Real case studies from research firms solving this

You spend months creating research. Someone downloads it. Then... nothing. You don't know: → If they actually read it → Which sections they care about → Whether they're a qualified buyer → If they shared it with competitors Factify changes this. ✅ Capture leads directly inside your reports (not just at download) ✅ Track page-level engagement across all your research ✅ Embed AI chat so readers don't leave for ChatGPT

AIxBio Hackathon. April 24-26. Co-organized with BlueDot Impact and Cambridge Biosecurity Hub. New rewards on the table: top teams get fast-tracked into programmes from our co-organizers. ERA:AI Fellowship interviews at Cambridge. The Apart Fellowship. CBAI. BlueDot's talent and funding pathways. That stacks on top of: - $11,000 in prizes across hubs and tracks - Four tracks: DNA Screening, Pandemic Early Warning, AI Biosecurity Tools, Benchtop Synth Security - In-person hubs in SF, Berlin, London, and Boston Three days. One weekend. Real research output on one of the most neglected intersections in AI safety. Who on your team should be building here? Sign up: https://lnkd.in/dZjwEBsj

AIxBio Hackathon, T-3 days | With BlueDot Impact and Cambridge Biosecurity Hub. Three days out. Here's what's on the table this weekend: New keynote: Dr. JAIME YASSIF, Senior advisor at NTI. She co-chaired the NTI-RAND side event on AIxBio Governance at the Paris AI Action Summit and leads the Global Forum's push for tiered access to AI-bio tools. That makes three keynotes, alongside Prof. Kevin Esvelt (MIT Media Lab) and Dr. Oliver M. Crook (Oxford). Funding runway talk: Conor McGurk, Chief of Staff, Biosecurity at Coefficient Giving, on their biosecurity RFP. The RFP closes May 11, two weeks after the hackathon ends. Teams can prototype across the weekend and submit real applications two weeks later. Fast-tracks stack up: - ERA:AI Fellowship, 10 weeks of funded research at Cambridge. Top teams get fast tracked. - ERA AIxBio Fellowship, bio-focused summer cohort. Top teams get fast tracked. - CBAI fellowship fast-track. - Apart Fellowship invitation for top teams. Plus $13,000 in prizes across four biosecurity tracks and local hub prizes, in-person hubs in SF, Berlin, and London, and full remote. Who on your team should be building here? Sign up: https://lnkd.in/dz8fYGBv Local hubs: https://lnkd.in/dHWCJZjj

【ELYZA Works with KDDI】日々の労務管理、採用業務を効率化

【ELYZA Works with KDDI】日々の経費精算、請求業務を効率化

Most finance automation projects sound great until implementation turns into a year-long ERP project. Endeavor is built for speed: AI agents can be deployed across AP, AR, and spend workflows in weeks — working with your existing systems, not replacing them.

Most finance automation projects sound great until implementation turns into a year-long ERP project. Endeavor is built for speed: AI agents can be deployed across AP, AR, and spend workflows in weeks — working with your existing systems, not replacing them.

Still debating whether to build your edge AI stack from scratch? Discover how Edge Impulse helps you: ✅ Accelerate time to market ✅ Slash development costs ✅ Scale effortlessly across devices ✅ Tap into expert support and a thriving dev community Skip the complexity. Start innovating faster with Edge Impulse.

Engineering teams face a critical choice: invest months building infrastructure—or accelerate innovation with a proven platform. With Edge Impulse, you get: 🔧 Production-ready pipelines for data ingestion, model training, and deployment 📈 Proven performance benchmarks across real-world edge devices 🔒 Enterprise-grade security and compliance baked in 🧑💻 Full transparency and control over your ML lifecycle Don’t reinvent the wheel. Focus your team on what matters: launching great products, not building AI models.

"Why can't we just build this ourselves?" is the first question we hear in almost every Physical AI conversation. Marc Rouanne, veteran of Nokia and DISH, breaks down the complexity - all 15 layers of the DIY stack - and why most DIY pilots stall out after 18-24 months of lost effort.

If your team is weighing a DIY approach to Physical AI infrastructure, read this first. We walked through all 15 layers - firmware, security, connectivity, release management, and more - before you commit budget and headcount to building it yourself.

Have 200+ ChatGPT Enterprise licenses? You qualify for a 3-day complimentary Enablement Package from Eliza, designed to accelerate adoption and unlock ROI. 1. Use Case Discovery & Prioritization (with Lighthouse Wins) We co-create a catalog of high-impact AI opportunities, prioritize by ROI, and deliver a quick “lighthouse win” so teams see immediate success. 2. Training & Coaching Role-based workshops and 1:1 coaching help employees build confidence, turn theory into practice, and embed AI into daily workflows. 3. Lasting Momentum We leave behind champions, playbooks, and repeatable patterns so adoption compounds instead of stalling after the first week. 4. Health Check & Best-Practice Setup We review your environment, security posture, and configuration to ensure your deployment is compliant, scalable, and ready to expand. This package is complimentary for qualifying customers. Reach out to [email protected] to learn more.

AI doesn’t fail because of models: it fails because data isn’t ready to move. Our platform brings data, automation, and governance together so agents can reason, plan, and execute across workflows without manual handoffs. That’s what true data readiness looks like.

How are you preparing your team for an AI-native world? The most valuable employees in the near future won't just use AI; they will build with it, automate with it, and integrate it into the core of their workflows. Passive learning isn't enough. To stay ahead, teams need hands-on experience. That's why we're hosting two FREE, in-person labs designed to equip your team with the practical skills they need to lead the change, not just react to it. Join us in NYC to stop talking and start building. Choose Your Track ( 🗓️ Weds, Oct 29 - NYC): 1️⃣ For Your Developers → Codex Lab: Give your engineers hands-on experience translating natural language into working code with OpenAI Codex. 🏆 Hackathon Prize: iPad ↳ Sign up: https://lnkd.in/g-73D-3g 2️⃣ For Your Business Teams → ChatGPT Business Essentials: Move your power users beyond basic prompts into a world of custom GPTs, Agents, and automated workflows. 🏆 Hackathon Prize: AirPods Pro ↳ Sign up: https://lnkd.in/gCnCjewm Food, drinks, and a glimpse of the future are on us.

Eigen AI ranks #1 on Artificial Analysis for multiple popular models. 🚀 Today we’re excited to share that Eigen AI’s serving APIs are now listed on Artificial Analysis—with standout results in output speed, TTFT, and speed-for-price. 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬 • #1 output speed (tokens/s) among all GPU-based providers for GPT-OSS-120B, DeepSeek-V3.1-Terminus, and Qwen3-VL-235B-A22B 🚀 • Compelling speed-for-price: high throughput without premium pricing • Low latency at high speed (and low price): efficient placement on latency-vs-speed plots • Low TTFT: snappy first-token response for chat, agents, and copilots How we do it: 𝐄𝐢𝐠𝐞𝐧𝐈𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞 A full-stack acceleration toolkit: FP4/NV-FP4 quantization (plus PTQ/QAT), sparsity, speculative decoding, KV-cache optimizations, and kernel/graph work (fused ops, custom CUDA/Triton). Why it stays up: 𝐄𝐢𝐠𝐞𝐧𝐃𝐞𝐩𝐥𝐨𝐲 Run serverless, on-demand, or dedicated. Traffic-aware autoscaling, hot restarts, and multi-replica HA keep latency and reliability steady. • Run anywhere: our managed cloud, your VPC/on-prem, or self-built clusters across regions • Observability & controls: token-level traces, metrics, budget alerts, audit logs • Uptime: 99.9%+ envelope Coming soon: 𝐄𝐢𝐠𝐞𝐧𝐂𝐥𝐨𝐮𝐝 Launching in a month—turn your SLA into a production API in a few clicks, powered by the same acceleration + reliability stack. Learn more & Compare results • Artificial Analysis provider view: https://lnkd.in/edYgbibm • Full blog: https://lnkd.in/eff-8RUW • Playground and API: https://app.eigenai.com/ • Eigen AI: https://www.eigenai.com/ Special thanks to Artificial Analysis team for the great efforts onboarding Eigen! #AI #LLM #Inference #MLOps #GenAI #Quantization #FP4 #Sparsity #SpeculativeDecoding #DevOps #Cloud #VPC #Agents #AEI

Models were built to predict. Systems are built to adapt. The future? Agents that evolve because their data does too. Real autonomy starts with data readiness. Data readiness is the groundwork: clean, connected, data availability. From that foundation, agents can evolve to learn, adapt, and collaborate in real time. Autonomy emerges from data that’s ready for change.

About $160 million in member balances move between funds every day. Elula’s Al spots which members are most likely to leave and gives you the actions to keep them. Rethink your customer retention strategy. Put the power of our AI software to work for you. Discover more at elula.ai

Super fund members often switch without all the facts and end up in the wrong fund for their needs. Our AI software helps you spot which former members to re-engage with. It provides insights that power the right conversations to win them back. Discover how Elula can do more for all your members. Visit elula.ai today.

Imagine not having to pay per seat per model for your team to have access to ChatGPT, Anthropic, Copilot or Gemini?