B2B ad examples

베스핀글로벌과 구글 클라우드가 주최하는 Game Night: Melt into Bespin 행사에 여러분을 초대합니다! 게임인 여러분들을 위한 네트워킹 파티와 각종 이벤트, 푸짐한 경품까지! G-star 2025의 금요일 밤을 알차게 즐겨보세요 🎉 🗓️ 일시: 2025년 11월 14일 (금) 18:30 ~ 23:00 📍 장소: Melt 부산(해운대) 🙆♂️ 대상: 게임 업계 임직원 ✅지금 신청하기 : https://lnkd.in/gdejQAYn

Viele Tools kommen aus dem Ausland. Oft unklar wo die Daten liegen. Mein Name ist Alex, CTO von BE BRAVE. Unsere Systeme werden in der Schweiz betrieben und betreut. Swissness ist bei uns nicht nur ein Marketingwort, sondern ein Sicherheitsstandard. Testen Sie EagleGPT jetzt, exklusiv für die ersten 50 Schweizer Unternehmen.

Viele Unternehmen nutzen ChatGPT, aber haben Bedenken beim Datenschutz. Mein Name ist Alex, CTO von BE BRAVE. Mit EagleGPT erhalten Sie ein eigenes Sprachmodell, gehostet in der Schweiz - 100% datenschutzkonform. Jetzt kostenlos testen für die ersten 50 Unternehmen und 100 Privatpersonen.

Healthcare teams are drowning in admin. Meet Yuruo, she’s a real-time AI Medical Assistant avatar, built with Beyond Presence and she’s just one example of what ANY clinic or healthtech company can create. Yuruo can: ⚡ Triage patients ⚡ Explain symptoms in plain language ⚡ Support any language ⚡ Reduce clinician workload instantly But here’s the crazy part: 👉 Your company can build its own avatar like Yuruo, fully custom, branded, and real-time, without hiring a video team or AI engineers. This is the future of patient communication. Real-time. Human-like. Scalable. If you want to build an avatar for your product or workflow, you can do it here 👉 www.beyondpresence.ai Go build your first avatar today. It takes minutes.

🚀 A new tutorial just dropped and this one is MASSIVE for anyone building AI agents, customer support, or automation workflows. What happens when you combine: ✨ A real-time, hyper-realistic AI avatar ✨ N8N automations ✨ Live product & knowledge base lookups ✨ Zero coding …you get an AI support agent that greets users, understands context, takes real actions, and literally plugs into ANY website. And that’s exactly what FuturMinds just built in this new tutorial 👇 🎥 Best Real-Time Hyper-Realistic AI Avatar for ANY Website https://lnkd.in/dZP-sehh This walkthrough covers the full end-to-end stack: 🧠 Avatar setup in Beyond Presence 🔁 Data + reasoning flow inside N8N ⚙️ Slack ticket automation 🛒 Product recommendation logic 📩 Collecting name, email, phone 📊 Storing conversation summaries inside Google Sheets 🌐 Embedding your avatar into WordPress And the best part? No engineering required. Just real, practical automation you can deploy today. 🔥 Use cases you can build immediately: – AI customer support (triage + escalation) – Medical intake agents – HR interview screeners – Hospitality concierge – Banking/KYC assistants – E-commerce product experts – Real estate lead qualification – Online course AI instructors If you’re building AI workflows, automations, or next-gen support systems, this is one of the most useful breakdowns you’ll see all month. Huge shout-out to FuturMinds for this incredible deep dive and for pushing what’s possible with Beyond Presence + n8n 🙌 🔗 Watch the full demo here: https://lnkd.in/dZP-sehh

🚀반복 업무는 AI에게, 당신은 더 '크리에이티브'한 일에 집중하세요. 마케터의 데이터 분석부터 개발자의 시스템 모니터링까지. 이제 지시만 하면 스스로 계획하고 실행하는 AI Agent가 든든한 팀원으로 합류합니다. 베스핀글로벌이 마케팅·IT 부서의 업무를 획기적으로 줄여줄 핵심 비법을 공개합니다. ✅실무자가 꼭 봐야 할 E-book 핵심 내용: - Marketing: 타겟 분석부터 캠페인 실행까지 자동화하는 법 - IT/Dev: 에러 탐지 및 인프라 운영 자동화(AIOps) 실전 사례 - 내 업무에 바로 적용 가능한 AI Agent 시나리오 야근 없는 스마트한 워크플로우, 남들보다 먼저 경험하고 싶다면? 지금 바로 전략 리포트를 무료로 받아보세요.

Your SEC exam is in 47 days. Hapax already found 12 gaps.

AI that understands how YOUR business works. Hapax maps every stimulus that triggers a reaction in your organization. A new deal closing, a support ticket escalating, a compliance deadline approaching. It understands the chain of events each one sets off and builds AI to handle them. Get started with Hapax today. Use code: HAPAXDEMO for $25 in credits

Your B&W team is operating at Predictive. The Foods workstream is onboarding onto the same architecture. North America is the lighthouse for every market Unilever runs.

Three proposed directions, all aligned to BGS. 30 minutes to scope which one is closest to the planning cycle your team runs today.

Boring hold music. A robot that doesn't understand you. Your afternoon, lost to the noise. Sound familiar? AZcall is the AI that waits on hold, navigates the phone tree, and gets you to a real person, so you don't have to lose your afternoon to it. Now available on the App Store and Google Play. https://lnkd.in/eWzZnEsg

𝗪𝗵𝗲𝗻 𝘁𝗵𝗲 𝗵𝗲𝗮𝘁 𝗵𝗶𝘁𝘀 𝘁𝗵𝗲 𝗨𝗞, 𝗶𝘁 𝗱𝗼𝗲𝘀𝗻’𝘁 𝗷𝘂𝘀𝘁 𝗺𝗮𝗸𝗲 𝘂𝘀 𝘂𝗻𝗰𝗼𝗺𝗳𝗼𝗿𝘁𝗮𝗯𝗹𝗲. 𝗜𝘁 𝗮𝗳𝗳𝗲𝗰𝘁𝘀 𝗼𝘂𝗿 𝗳𝗮𝗺𝗶𝗹𝗶𝗲𝘀, 𝗼𝘂𝗿 𝗰𝗼𝗺𝗺𝘂𝘁𝗲𝘀, 𝗼𝘂𝗿 𝗵𝗲𝗮𝗹𝘁𝗵, 𝗮𝗻𝗱 𝘁𝗵𝗲 𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝘄𝗲 𝗿𝗲𝗹𝘆 𝗼𝗻. If you have teammates, friends, family, or customers in the UK, you've probably seen it already. The UK is resilient. People adapt. Teams keep going. But heatwaves reveal where the strain appears first, from transport and water to healthcare and energy. And this isn't just a UK story. With El Niño and climate change driving more frequent extreme weather, we're seeing the same patterns emerge around the world. That's why we built the Axonis Weather Intelligence Application for the UK and Ireland, powered by Axonis Decision Intelligence. It connects trusted public data to help people understand what changing weather could mean across: 🏥 NHS demand 💧 Water resources 🚆 Rail operations 🌾 Agriculture ⚡ Energy 🚰 Hosepipe restrictions We built it for ourselves, then realised it could help others too. Because this isn't just about spotting risk. It's about recognising patterns early and helping people stay one step ahead. Explore the Weather Intelligence Application: weatherimpact.ai We're grateful for the open, accessible public data across the UK and Europe, especially from: 🌦️ Weather & Climate Met Office (UK) World Meteorological Organization (WMO) Copernicus ECMWF (C3S) European Centre for Medium-Range Weather Forecasts - ECMWF NOAA: National Oceanic & Atmospheric Administration 🏛️ Public Sector NHS England Network Rail Environment Agency National Grid 🔬 Research & Climate The Alan Turing Institute Royal Meteorological Society (RMetS) And a special thanks to BBC News and The Guardian for their reporting, which also contributed to the insights used by ADI.

𝗔𝗜 𝘀𝗵𝗼𝘂𝗹𝗱𝗻’𝘁 𝗷𝘂𝘀𝘁 𝗮𝗻𝘀𝘄𝗲𝗿 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀. 𝗜𝘁 𝘀𝗵𝗼𝘂𝗹𝗱 𝗱𝗼 𝘁𝗵𝗲 𝘄𝗼𝗿𝗸. AZcall makes task-driven phone calls, navigates phone trees, waits on hold, and works toward an outcome so employees can stay focused on their jobs.

200 E-Mails täglich im Postfach des Einkaufs. Irgendwo dazwischen: 3 Auftragsbestätigungen mit Fehler. Der händische Abgleich ist aufwändig und teuer. Darauf hoffen, dass es passt, ist aber auch keine Option. KogniLink bietet die Alternative: Jede Bestätigung wird automatisch gegen die Bestellung im ERP abgeglichen: Positionen zugeordnet, Stückmenge, Preise, Einheiten und Summe verglichen, Abweichungen markiert. Geprüft in unter einer Minute. Nur Ausnahmen landen beim Einkauf, mit Kontext zur Entscheidung. Jede Prüfung ist 100% nachvollziehbar. Das Ergebnis: In mehreren Fertigungsunternehmen spart der Abgleich heute zwischen 25 und 55 Stunden pro Monat. Das Verfahren für die intelligente Prüfung geht weit über die Prüfung mittels LLMs hinaus, und sorgt für eine deutlich höhere Ergebnisqualität. Die Funktion ist Teil unserer KI-Plattform für Fertigung & regulierte Industrien. Angeschlossen an euer ERP, PLM, DMS und E-Mail-Postfächer, automatisiert sie tägliche Fleiß- und Tipparbeit in Fachabteilungen. Vom Belegabgleich über die Recherche in 8D-Reports, die Prüfung von Analysenzertifikaten bis zur Compliance-Überwachung von SOPs und Lieferketten. On-Premise, schon auf kleiner, kostengünstiger Hardware, kein Dokument verlässt das Haus. Klingt zu gut? Überzeugt euch selbst: kostenloser Pilot, eure Testdaten, keine Verpflichtung.

Arcade is the only MCP runtime built to run real agents in production. With Arcade, your agents get: secure agent authorization, high-accuracy tools, and centralized governance.

MCP gives you the protocol. You still need the runtime. Here's what breaks when you move from demo (one user, hardcoded creds) to production (1000+ users, real systems) – The gap MCP doesn't fill: →Multi-user OAuth flows that work inside agent loops →Token lifecycle management without exposing credentials to the model →Tool optimization for accurate agent selection →Governance with audit trails showing who did what, when →Version control and centralized execution with failover logic That's the infrastructure gap that kills 70% of agent projects. Arcade is the MCP runtime that solves it—sitting between your agent and 1000+ tools with proper authorization, execution integrity, and operational control. Try it yourself → https://lnkd.in/gMDkkrAD

Newton is heading to NVIDIA GTC San Jose! Colin Capobianco (VP of Sales), Larry Geller (VP of Strategic Partnerships), Sisinio Baldis (Head of Solutions Architecture), and Brandon Barbello (COO) will be on the ground and ready to talk about Physical AI, live demos, and what it actually looks like when a foundation model understands the physical world. Whether you're working on predictive maintenance, industrial monitoring, or trying to make sense of sensor data at scale, this is the conversation worth having. See you in San Jose in March! Book a demo with our team 👇 #NVIDIAGTC #PhysicalAI

Most talks about AI agents stay theoretical. This one doesn't. Alyx 2.0 is an AI engineering agent built for real AI workflows — error analysis, prompt experimentation, trace debugging — all executed autonomously inside Arize AX. Join Arize engineers Priyan Jindal and Jack Zhou for a live 45-minute demo and technical deep dive into how they actually built it: → The planning architecture behind multi-step reasoning → How they solved context management at scale → Testing strategies that got an agent to production Practical lessons. Real design decisions. Live Q&A at the end.

What does it look like when an AI agent actually understands your debugging workflow? Alyx 2.0 — now live in Arize AX. Unlike most AI assistants that follow a single decision tree, Alyx breaks down complex tasks, reasons across multi-step workflows, and acts autonomously across your entire AI lifecycle: ↳ Error analysis ↳ Prompt experimentation ↳ Trace debugging We're hosting a live walkthrough to show you exactly how it works. Save your spot → https://lnkd.in/gpEggkGi

Bank of America built Erica seven years before the rest of the industry caught up. As the "build once, reuse" strategy expands into agentic workflows across markets and wealth, Arthur is the observability and governance layer built to operate at that scale.

The banks already running agentic AI in production are discovering they need to retrofit governance after the fact. U.S. Bank has the opportunity to do it the right way — with Arthur as the foundational observability and governance layer for every agent, before they scale, not after.

Most AI benchmarks test questions that already have an answer key. The hardest, highest-value problems in science, medicine, and engineering are still unsolved — no one knows what a correct answer even looks like. Meet TRACES 🧭 — the world's first standard for measuring discoverative AI: AI directed at reaching conclusions nobody has reached yet. Proposed by our founder Tianqiao Chen 陈天桥, who defined its six capabilities. Before today, "AI that makes discoveries" is just a slogan. Three things published today change that: a definition of "discoverative intelligence", a rubric to tell sound investigation from lucky guesses, and a open call for both solvers and problems. WHAT TRACES MEASURES Not just the answer, but the path to the answer. Six capabilities that spell its name: T — Tools: selecting, calling and correctly interpreting external tools R — Repair: locating and correcting its own errors once feedback arrives A — Alternatives: laying out competing hypotheses and keeping or discarding them as evidence accumulates C — Coherence: holding state, constraints and logic intact across a long chain of work E — Evidence: grounding every conclusion in observation, data, experiment or citation S — Scope: stating the conditions under which a conclusion holds, and where it does not apply TRACES evaluates today whether the discovery process is rigorous and evidence-grounded, even when the final outcome is not yet known 🔍 WHAT IS PUBLISHED TODAY Today, in full: the technical report — the definitions, the rubric, the registry of problems — spanning biomedicine, clinical translation and frontier-model engineering. Led by Apodex’s Lead Scientist Sheng Wang, who brings together the technical framework behind this effort. Behind them: 10 STEM PhDs, two months, 561 industries surveyed to find the 423 problems worth doing this for. Bring a problem. Bring a solver. Both doors are open. 📄 Paper : https://lnkd.in/gv7V-Arg 🌐 Website https://traces.apodex.com/ #AIforScience #ScientificDiscovery #AIEvaluation #DrugDiscovery

Meet Apodex 1.1 ⚡: Scaling Agentic Intelligence for Complex Work We’re excited to introduce Apodex 1.1, our new model family built to scale agentic intelligence for professional work. 🧠 Frontier-level intelligence for complex work Apodex 1.1 brings frontier-level agentic performance across complex professional work, scientific research, financial analysis, and deep search. 🤝 Asynchronous Agent Team Apodex 1.1 can break down complex tasks, coordinate multiple agents in parallel, continuously integrate their findings, and let you step in to guide or redirect the work at any time. 🔬 Open-source research workbench We’re open-sourcing FrontierAgent—a locally deployable research workbench for the Apodex 1.1 family, including asynchronous Agent Team. Where Apodex 1.1 lands: ▸ Professional work — APEX-Agent 38.5 · GDPVal 78.8 win rate ▸ Finance — FrontierFinance 54.3 ▸ Scientific research — FrontierScience-Research 63.3 · BioMysteryBench (Human-difficult) 35.3 ▸ Reasoning — HLE 56.1 Across the four benchmarks evaluated in both ReAct and Agent Team configurations, Agent Team adds 4.1–9.3 points. Available now: 🔹 Apodex 1.1 — our most capable frontier model, available through the Apodex online workbench 🔹 Apodex 1.1 mini — open-weight model for running complex work locally 🔹 FrontierAgent — open-source, locally deployable research workbench Open Source Harness: https://lnkd.in/gA8k3wkE Open Weights: https://lnkd.in/gq3xkMrm Online workbench: https://www.apodex.ai/ API platform: https://lnkd.in/grwQB-te Paper: https://lnkd.in/gQy--prw Blog: https://lnkd.in/gxzAqeHv

Join us at #GITEX2025 for hands on demos. Test near human machine translation with context preservation, cross lingual semantic search, document QA and summarization, RFP and contract assistants, and meeting summarization for Arabic and English. All built on #Pronoia for enterprise latency, quality, and scale. We are at Hall 8, Booth H8-19, Oct 13 to 17, Dubai World Trade Centre. Bring your use cases and we will map a path to production during the session. Get your free invitation: https://lnkd.in/dr89YHCf