B2B ad examples

An unanswered question shouldn't stop users from purchasing. Gladly AI gives shoppers real-time answers, personalized guidance, and confidence to purchase, all on your site.

Natural language in. Perfectly curated cart out. Gladly turns a shopper’s intent into personalized product recommendations, helping them find everything they need.

Want to make your internal comms more consistent? Join our free webinar on November 16 to discover where your communication is falling short, get practical tips from Happeo, and access a free 2027 Engagement Calendar & Comms Planner. Register now to uncover your communication gaps and learn what to fix first!

¿Arquitectura Empresarial sin procesos alineados? Es una base frágil para cualquier iniciativa de transformación. ⚠️ En muchas organizaciones, el problema no es la falta de modelos, diagramas o repositorios. El verdadero desafío surge cuando el conocimiento de los procesos, la arquitectura empresarial y la realidad operativa evolucionan por separado. Cuando estas piezas no están conectadas, la transformación se convierte en una cuestión de suposiciones. Y las suposiciones salen caras. 📄 Descubra cómo las organizaciones líderes están conectando BPM, Arquitectura Empresarial, Gobernanza, Inteligencia de Procesos y Automatización en una única plataforma para acelerar la transformación y mejorar el rendimiento operativo. 👉 Más información: https://lnkd.in/d7zJ9fey

La IA no está creando una brecha tecnológica. Está desvelando una brecha de aprendizaje. 🧠 Los procesos cambian. Los sistemas evolucionan. Surgen nuevos riesgos. Y la IA acelera aún más el ritmo de cambio. El reto está en mantener el conocimiento de la organización al día. Cuando los procesos, sistemas, gobernanza e información operativa permanecen desconectados, las organizaciones tienen dificultades para aprender y adaptarse con la suficiente rapidez. Process Superlearner™ cambia esta situación al crear un Gemelo Digital dinámico de la organización, que conecta: ✅ Procesos y sistemas ✅ Riesgos, controles y dependencias ✅ Realidad operativa y mejores prácticas externas La IA aporta información. Las personas aportan criterio. Y cada decisión prepara mejor a la organización para la siguiente. 👉 Experimente Process Superlearner™: https://lnkd.in/dsQtVPHQ

What happens when AI agents meet real-world development workflows? Hear what worked, what broke, and what teams learned. Watch GitLab Transcend on demand.

What happens when vulnerabilities are discovered faster than you can fix them? Frontier AI is changing how quickly flaws are found and exploited, but remediation isn’t keeping pace. With Anthropic’s Claude Mythos 5.1 now in GitLab, we’re bringing that same speed to remediation and prevention by connecting discovery, fixes, and policy enforcement in one trusted workflow inside the software factory. Read the blog to see how it works and how you can put it to the test on us. https://lnkd.in/e_Yubwju

AutoBuild is a software factory that runs your team's process end to end. Agents build, you decide what ships. Try it free and tell us what you think.

Stop nudging agents along one thread at a time. With AutoBuild you design how the work gets done, and agents carry it out. You stay the author of what ships.

Who gives the better demo? Marketing has opinions. Sales definitely has opinions. Here's what we do know: When buyers experience your product before the meeting, they show up with better questions, involve more stakeholders, and move through deals faster. That's why everyone demos better with Consensus.

Hey AFSVision 👋 Thinking about switching customer onboarding tools? Here's how to spot the wrong one: ❌ Static forecasts that don't update in real-time ❌ Support tickets that sit for 12+ hours ❌ No native Salesforce integration (just API band-aids) Or you could just use GUIDEcx. Your call.

Can implementation teams really cut time to value (TTV) by 55%? Is it possible to reduce project length by 60%? Follett did—and says it "changed the game for us, and our customers notice." 👇

At large enterprises, 20–40% of total build time is spent re-downloading dependencies that haven't changed. That's not an engineering inefficiency. That's a line item: CI compute you're paying for while agents sit idle downloading, WAN egress charges for the same artifacts thousands of times over, repository infrastructure scaled to absorb redundant traffic, and engineering hours lost to builds that fail because an upstream repository had an outage you don't control. Artifact Cache eliminates most of it. Edge nodes co-located with your CI infrastructure serve over 95% of dependencies locally cutting WAN egress and upstream repository load by the same margin, and insulating delivery from third-party repository instability. Rollout risk is minimal by design: it deploys centrally as CI pre- and post-steps with zero changes to build scripts, so there's no team-by-team migration project. And you can project the ROI before committing. Develocity Analytics models your expected cache-hit rate from what your builds resolve today, then measures the actual rate per project after rollout. The business case isn't a vendor estimate; it's your own data. As AI-generated code drives CI volume up, this is the difference between compute costs scaling linearly with delivery or not. https://lnkd.in/guE_J2Qp

Writing code was the bottleneck. AI just moved it, into your CI pipeline and your infrastructure bill. Agent loops multiply build volume, and every iteration re-downloads artifacts that haven't changed. That's CI compute paying for idle downloads, WAN egress compounding on the same artifacts thousands of times over, and an Artifactory footprint scaled to absorb traffic that shouldn't exist. The fix isn't replacing JFrog Artifactory, there's no migration project here. Develocity Artifact Cache deploys beside your build agents and serves over 95% of artifacts locally, cutting egress and repository load by the same margin while Artifactory remains your system of record. And as agents multiply what moves through the pipeline, every artifact keeps its provenance origin, signature, lineage,so governance scales with volume instead of eroding under it. The business case runs on your own data: Develocity Analytics models your expected cache-hit rate from what your builds resolve today, then measures the actual rate after rollout. Governance and efficiency, at the pace AI ships. Read why Artifact Cache and JFrog Artifactory are better together → https://lnkd.in/gY5PQ9Bm

The report calls it the new operating model for customer service. 1.2 billion tickets show where AI carries the volume, where people take over, and how resolution times differ across the mix.

Last year it was 32%. The Customer Service Benchmark Report '26 tracks how fast AI moved from pilot to production across 33,889 support orgs, and what it changed for response and resolution.

„A műtét sikerült, a beteg meghalt.” Kiss Péter iratkezelési szakértő szerint ez a mondás jól szemlélteti, mi történik akkor, ha egy iratkezelő rendszer ugyan minden előírásnak megfelel, a mindennapi használata mégis nehézséget okoz a munkatársaknak. A tanúsítás azt igazolja, hogy a rendszer megfelel az előírt követelményeknek. Azt viszont nem, hogy mennyire egyszerű és kényelmes a használata. Hány kattintással végezhető el egy-egy művelet? Mennyire könnyű eligazodni a felületen? És ami talán a legfontosabb: szívesen dolgoznak-e vele a munkatársak? 🎬 Rövid videónkban Kiss Péter arra hívja fel a figyelmet, miért nem elegendő önmagában a jogszabályi megfelelés. De mitől lesz egy iratkezelő rendszer valóban jól használható? Erről részletesebben is olvashat cikkünkben: https://lnkd.in/dJyvDgNh

Ce jour-là, la directrice générale pose une autre question. « Qu'est-ce que l'IA a changé dans ton équipe depuis un an ? » « On a Copilot pour tout le monde. Ça marche bien, les gens l'utilisent. » « D'accord. Et qu'est-ce qui a disparu ? »

Welk werk blijft bij jullie liggen? Specsheets, orders uit de mail, klantvragen? Vink het aan en zie in 1 minuut welke digitale collega daarbij past en hoeveel tijd het scheelt.

Heb je een IT-afdeling nodig voor een digitale collega? Nee. Tribers bouwt hem en sluit hem aan op jullie systemen. Van je team is vooral kennis van het werk nodig. Wat er met jullie data gebeurt en wat het kost? Lees alle antwoorden op de pagina.

PHP ma ostatnio gorący okres: krytyczne luki, pilne aktualizacje, administratorzy na pełnych obrotach… Krótko mówiąc - dzieje się. W AMODIT też mamy sporo na głowie, na szczęście PHP nie jest jedną z tych rzeczy. 😎 AMODIT działa bez PHP. Za to z automatyzacją procesów biznesowych radzi sobie całkiem nieźle. 😉 👉 Odkryj AMODIT: https://lnkd.in/dYiybezm #AMODIT #Cybersecurity #LowCode

One order ID, full traceability: from order event to completed print job, including automatic rerouting to a backup printer. See error recovery in action on 4 November.

Wir wollten uns überzeugen, ob Aircall wirklich so cool ist, wie die hier immer auf LinkedIn tun... Und wat soll ich euch sagen? Nachdem die uns mit Süßigkeiten bestochen haben, sind wir nun der Überzeugung, dass Aircall wirklich krass ist. Wenn ihr euch selber mal Aircalll angucken wollt, oder checken wollt warum der Lennart zum Best SDR bei den Sales Awards 2026 nominiert wurde, dann bucht euch doch mal ein Meeting mit ihm --> https://lnkd.in/dFgN-tKP Besonders cool, fand ich auch Lennarts Story mit seinem KI-Assistenten - was denkt ihr? Werden wir bald alle durch KI-Agenten ersetzt? Schreibt mal eure Meinung in die Kommentare, bin seeeeehr gespannt!!

Weak signal turns a webview paywall into "This page can't be loaded". Native paywalls with offline fallback still show up.