B2B ad examples

Every research report you publish has hidden opportunities inside. The problem? Traditional PDFs can't: • Capture leads where readers show interest • Tell you what content resonates • Keep readers engaged without external tools Factify fixes this: ✅ Built-in lead capture - Gate sections, insert forms anywhere in your report ✅ Advanced analytics - See which pages hold attention and where readers drop off ✅ In-document AI chat - Readers get answers without leaving (no more ChatGPT copying) Transform your research from static PDFs to interactive revenue engines.

Once a PDF leaves your inbox, it’s out of your control — passed between subs, printed, or used weeks later from the wrong version. Factify keeps every drawing live, trackable, and revocable, so you know exactly who viewed it, and can kill access anytime.

Pick a track. Ship something in three days. 1. Specification Elicitation: pulling formal specs out of code, docs, conversations. 2. Specification Validation: checking whether a spec captures intended behavior. 3. Spec-Driven Development and Evaluation: generating and ranking implementations from a spec. 4. Adversarial Robustness: stress-testing formal methods pipelines. Generalist engineers welcome. No formal methods background required, but expect to lean on teammates who have it. Top teams: invitation to the Secure Program Synthesis Fellowship (June - October 2026). Sign up now.

The alarm system that was supposed to catch the overload had crashed silently. Nobody knew it was down. When your AI degrades in production, what catches it? Will anyone know?

I spent 6 months building an AI product the hard way. Manual data cleaning. 65% accuracy on real queries. AI that forgot what users told it yesterday. Then I found Empromptu. 98% accuracy. Automated data pipelines. Persistent memory across sessions. We haven't launched yet and I'm not going back to doing it alone.

Before switching inference infrastructure, teams ask one thing: How does this compare to what we already use? On Artificial Analysis public benchmarks, Eigen AI ranks among the top performers across 25 mainstream models, providing a data-backed reference point against existing setups. Comparison should be based on data, not promises.

In the enterprise AI race, the biggest risk isn't the model, it's the friction between a great idea and a shipped product. High throughput isn't just a technical metric; it’s a business lever. By delivering strong tokens/sec across 10+ mainstream models (validated by Artificial Analysis), EigenInference enables faster feedback loops. When your infrastructure keeps pace with your product roadmap, you don't just iterate—you can outpace the market.

【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.

Get a free 2-week, hands-on trial with Edge Impulse's ML experts. Our solutions engineers will assess your data compatibility, optimize models, and validate feasibility for anomaly detection, predictive maintenance, or smart devices. 10-20 hours of guided experience. Limited spots available.

At its core, edge AI is as close to the data as possible, exactly where it's being collected. Edge Impulse developer relations engineer Brian McFadden breaks down the distinction of edge vs cloud in this moment from our Imagine Innovators conference. Learn more and get started with Edge Impulse: https://lnkd.in/gEsSsyVG #ai #edgeai #imagineinnovators

What does it actually mean for your business to have sovereignty over its AI? Our CEO Brian Mengwasser breaks it down to two conditions: a 𝗴𝘂𝗮𝗿𝗮𝗻𝘁𝗲𝗲𝗱 ability to produce, and 𝗮𝘂𝘁𝗵𝗼𝗿𝗶𝘁𝘆 over your own information. Lose either one, and you're not really in control of your AI - or, increasingly, your business. This is Part 1 of an ongoing series we're tackling on Sovereign AI and what it means for the physical operations that keep society running. Link in comments. #SovereignAI #PhysicalAI #DataSovereignty #AISovereignty #AI

Sovereign AI comes down to two conditions: a guaranteed ability to produce, and authority over your own information. Most enterprises have neither today. Our CEO breaks down why AI sovereignty is no longer optional - and what it actually takes to get there.

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.

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.

There’s a big difference between talking about AI and delivering with it. At Suncorp Bank, Elula’s Sticky and Elastic products are doing exactly that — helping the bank anticipate customer needs, improve retention, and optimise pricing decisions with data-driven precision. This is what happens when AI moves from theory to execution. 🔗 Watch the full story here https://lnkd.in/gRjiDsVA #AI #Banking #Elula #CustomerExperience #Innovation #Datascience #customerretention #pricing

Activate real business impact with ChatGPT in 4 weeks. Eliza helps organizations move beyond simple tasks to high-value, ROI-unlocking use cases. Our hands-on training model embeds ChatGPT into daily workflows through: ✔ Co-build sessions with internal champions to tailor use cases by role and function ✔ Playbooks and prompts that target measurable outcomes like hours saved and quality improved ✔ Team workshops and office hours that drive adoption and confidence The result: rapid scale, high engagement, and visible ROI across the organization. Want to see this model in action? Request a free consultation to get a custom AI adoption roadmap for your organization. Fill out the form to connect.

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

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

Imagine having one platform providing seamless access to the leading AI tools. Simplify and excel together.

Most banks pilot AI. Few turn it into revenue. Which side is your institution on? 78% of financial institutions are experimenting with AI. But only 28% are scaling it to drive measurable revenue. Why the gap? And how can you bridge it? Our latest whitepaper dives deep into: ✅ Revenue opportunities in Southeast Asia, Latin America, and MEA ✅ The critical barriers to scaling AI—and how to overcome them ✅ Real-world use cases If your goal is to move AI from experimentation to real revenue impact, this report is made for you. 👇 Download the full report now for actionable insights and execution frameworks.