B2B ad examples

Discover how situational awareness can protect critical infrastructure, with fewer false alarms and faster discovery of what matters.

Zwei Systeme, verteilte Excel-Listen – und zum Meldestichtag wird es hektisch? So war auch die Ausgangslage der Raiffeisen-Landesbank Steiermark. Mit dem Legal Entity Manager von Goldright wurde daraus ein Single Point of Truth: prüfsichere Stammdaten für rund 300 Beteiligungen und Reporting auf Knopfdruck. Lesen Sie, wie.

Votre modèle d'IA n'est peut-être pas en cause… mais vos données, si. Avant de passer plus de temps à peaufiner vos modèles, assurez-vous que les données sur lesquelles ils s'appuient sont vraiment prêtes pour l'IA. Consultez ce guide et découvrez si vos données sont prêtes pour l'IA.

Ledningen ska kunna se hur databaserna mår, inte hoppas och tro. DB24 ger varje instans ett AiQ-poäng och ett märke, uppdaterat varje natt.

Buying data from one tool and verifying it in another has become the norm in outbound. That’s two subscriptions and twice the work, and bounces still slip through. With Findymail, verification comes built into every search. Just export and send.

Find an email address with one tool and verify it with another? You end up paying twice or risking a 15% to 25% bounce rate. With Findymail, you can do both in one step.

Which companies run Salesforce, Snowflake, or NetSuite? Search any technology and see who uses it. Free, no signup.

¿Cómo cambiaría tu mes si solo vieras los proyectos con verdadero potencial para ti? Con el nuevo Construdatos filtras por materiales, productos y zona, identificas a los profesionales clave y compartes las mejores oportunidades con tu equipo o tu CRM. Tomas decisiones con datos claros, priorizas mejor y conviertes el caos del mercado en una lista manejable de contactos listos para llamar.

Les chiens et les chats suivent-ils les mêmes dynamiques en France ? On parle souvent des "animaux de compagnie" comme d'un ensemble homogène. Pourtant, lorsqu'on observe les données, les populations canines et félines présentent des évolutions distinctes selon les territoires, les modes de détention et les tendances démographiques. Pour les collectivités, les professionnels de la filière et l'ensemble des acteurs concernés, comprendre ces différences est essentiel pour mieux appréhender les évolutions de la relation entre les Français et leurs animaux. Que révèlent réellement les données du Fichier National I-CAD ? Découvrez notre analyse : https://lnkd.in/ePtkrVSi #Animauxdecompagnie #Chien #Chat #Données #Data #Démographie #Territoires

🏗️ ¿Sabes quiénes han liderando la actividad constructiva este 2026? En DoubleTrade analizamos en profundidad a los principales agentes económicos que intervienen en las obras: 🔹 Promotores 🔹 Constructoras 🔹 Estudios de arquitectura Pero vamos más allá de los nombres. Nuestros análisis permiten identificar: ✅ Qué tipo de obras está liderando cada agente ✅ En qué zonas geográficas están más activos ✅ Con qué otros agentes colaboran habitualmente ✅ Qué empresas han mantenido o incrementado su actividad en 2026 ✅ Y cómo ha evolucionado su papel respecto a años anteriores Esta información no solo permite entender la dinámica del sector, sino que se convierte en una ventaja competitiva clave para planificar estrategias comerciales, generar nuevas oportunidades de negocio y establecer alianzas más efectivas. #Construcción #Obras #Proyectos #InformeDoubleTrade #salestech

AI-generated code is shipping fast but the data foundation isn’t ready and you’re on the hook for data quality. That's a tricky spot to be in. So, how do you maintain data quality without becoming the bottleneck for shipping AI? (Hint: it comes before the semantic layer) Steven Hillion will share how our enterprise customers are putting orchestration first to improve data quality at the source to build the data foundation required for AI.

Type in any software, your competitor’s included, and see which companies run it. Fair warning: it’s hard to stop at one search.

The new GRAX is here. Welcome to a universe where full ownership of your operational history is assumed rather than "extra". When customers own all versions of their historical data in their own private cloud, they unlock new possibilities for how data is governed, analyzed, integrated, and leveraged with AI. Insights that took weeks to uncover are now available in seconds. Business users who did not have access to complex querying capabilities now audit legacy data sets with precision. Want to surface CRM insights in Snowflake? We've got you covered! Need to unify data sets from multiple Salesforce instances? Check! Need data access without compromising security? You know we do that too! I could not be more proud to be part of this team...let's launch! Clinton Ford, Chris Cimaglia, Jason Wilburn, Joe Gaska, Ben Melton, Rich Bloyd, Diane Deng, Stuart Newton, Alex Blanes, Diego Bellalta, Ascendx, Ortoo, Documill, Eposly. https://www.grax.com/

A new era of observability is being born. And yes, we're throwing it a birthday party at KubeCon NA! 🎈 We're talking birthday gifts, scratch cards, and observability that actually gives you a reason to celebrate. 📍 Booth #111 — just look for the bouncy castle on the expo floor!

Access high-quality, first-party sample programmatically. Source, launch, manage, and close sample projects without manual intervention.

Social spend keeps growing. Platform reported metrics still stop at impressions and clicks. This guide covers what to measure instead, and how.

Sometimes the details on your map matter and you need to get up close. Icon Map for Microsoft Fabric enables you to surface Gaussian Splats (eg 3D models made from drone imagery) stored in your Onelake lakehouse. Just one of many new capabilities. Sign up for the private preview here: https://lnkd.in/ejhtbghC #IconMap #IconMapForFabric #MapsInFabric #MicrosoftFabric #Maps #GeospatialAnalytics Attribution: Satellite imagery - Mapbox. Gaussian Spat - https://lnkd.in/eV5ZpV-q

I've been wanting to improve how the sea looks on our base map styles for a long time - especially for our a maritime customers. After a series of rewrites I think I've finally found an approach I'm happy with. It works with all our map styles, and can inherit the colours of the existing map. Keep up to date with the regular updates: https://lnkd.in/ecpnG2nU #IconMapForFabric #MapsInFabric #MicrosoftFabric #IconMap

Most QA teams don’t actually have a testing problem. They have a test data problem that cuts their sprint velocity in half. Ask an average QA Lead where most of their sprint time goes, and the answer is rarely "writing automated test scripts." It’s almost always: · Waiting on the DBA for a fresh database refresh. · Searching for hours to find that one specific customer edge case in a massive, polluted database. · Manually faking data in Excel or Notepad because crucial test scenarios are missing. Industry research shows that testers spend 30% to 50% of their time just preparing test data. That isn’t quality assurance. That’s operational overhead. As long as your testing department relies on 'DBA goodwill' for a refresh, true Continuous Delivery is an illusion. Real agility only happens when QA engineers get self-service access to fresh, masked, and subsetted test data via a simple portal or CI/CD pipeline integration. How many hours is your team losing this week searching for usable data?

When a database refresh takes 4 to 6 hours, something deeply human happens: teams simply stop doing it. And right at that point, an invisible drain opens in your IT budget. In our latest research, we calculated the true cost of neglected Test Data Management for a 30-person engineering team. Even with extremely conservative assumptions, we uncovered a shocking outcome: $421,800 per year in hidden waste. Where is that money going? • 45 minutes per test case lost searching for usable data in a polluted database. • 40 minutes per test case wasted manually creating test scenarios. • Rework and recovery effort caused by incomplete testing leading to bugs that leak into production. When refreshes take hours, teams improvise. They test on outdated garbage or skip chain testing entirely. The solution isn't more manual labor; it's reducing the data load. By switching from massive production copies to lean, representative subsets, you bring refresh times down from hours to 20 minutes. That single shift immediately removes $350,000+ in annual waste from your operation. I wrote this white paper about it and I'd love to hear what you think. Link in first comment.

At 10:00 a.m., inbound volume is slightly above forecast. By 10:45, customers are already waiting longer. Somewhere between those two moments is the only period when an insight can still change the outcome. We call it the Decision Window. The Data Advantage #12, The Intervention Advantage, looks at how to engineer intelligence that arrives inside that window, with enough context for the right person to act. Inside this issue: ▸ Why the next generation of alerts must be more intelligent ▸ The anatomy of an alert worth acting on ▸ From AI insight to recommendations people trust ▸ Healthcare spotlight: one patient access shift, from an 8:30 start to a 9:06 alert with 45 minutes still on the clock ▸ A technical deep dive for data and platform teams Two free tools help you put it into practice: The Intelligent Intervention Playbook Eight plays, two worked examples, a 30-day pilot plan and a 10-question quiz that benchmarks how decision-ready your operation is today. The Decision-Ready Alert Canvas A one-page fillable canvas your team can use to design its first decision-ready alert in a single workshop. One question to start with: if you could see one operational problem 30 minutes earlier, which would you choose? The full issue and both downloads are linked in the first comment. #DecisionIntelligence #ContactCentre #CustomerExperience #OperationalIntelligence #DataAnalytics

This Thursday I'm joining Chris Merrick (CTO, Omni) to talk about how BambooHR went from decision to GA on Elite Analytics, our branded AI data product, in four months, and has since grown it to 100K users. Chris and the Omni team have been amazing partners. Come hear what worked, what we learned, and how we did it without pulling engineering off our core roadmap. 📅 Thursday, Oct 22 · 10am PT / 1pm ET 🔗 Register: https://luma.com/94qpxqrs

Four cities. Three weeks. One team. ⠀ definity is on tour this fall: ⠀ Chicago · Oct 29 San Francisco · Nov 2 London · Nov 11 New York · Nov 19 ⠀ 📍 Meet us at the booth at every stop – and schedule time with us for a personalized demo. 🥂 Join Spark & Spirits happy hours in SF, London, and NYC with fellow data, platform, and AI engineers. 🎤 Join our Agentic Databricks Cost Optimization session in NYC and London. ⠀ Booking and RSVP links in the comments.

🏛️ 𝗟𝗲𝘀 𝗰𝗮𝘀 𝗱’𝘂𝘀𝗮𝗴𝗲 𝗚𝗥𝗨 𝗱𝘂 𝘃𝗲𝗻𝗱𝗿𝗲𝗱𝗶 ! Et si, pour parler de Gestion de la Relation Usager, on partait directement de cas d’usage concrets rencontrés par les Départements ? Blueway & SoftProject vous donnent rendez-vous chaque vendredi pour une nouvelle série de webinars consacrée à la GRU. 🏫 Simplifier la relation entre le Département et ses collèges Comment centraliser les demandes des établissements, les orienter vers les bons services et suivre leur traitement ? 🤝 Action sociale : mieux accueillir et orienter les usagers Comment créer un point d’entrée unique pour qualifier les demandes et faciliter leur prise en charge par les services sociaux et médico-sociaux ? 👶 PMI : fluidifier le traitement des demandes Comment centraliser les sollicitations adressées à la PMI et faciliter leur suivi et la coordination entre professionnels ? 🔎 Construire une vision 360° de vos usagers Comment réunir données, demandes et historique pour donner aux professionnels une vision complète du parcours de chaque usager ? 🏛️ Simplifier la relation entre le Département et les maires Comment créer un guichet unique pour centraliser et suivre les demandes des élus et faciliter les échanges avec les services départementaux ? 🎙️ Chaque vendredi, Gauthier Coponat, Directeur Produit – Solutions sectorielles chez Blueway, vous présentera l’un de ces cas d’usage à travers une démonstration concrète de Forum GRU. 📅 𝟭 𝘃𝗲𝗻𝗱𝗿𝗲𝗱𝗶 = 𝟭 𝗰𝗮𝘀 𝗱’𝘂𝘀𝗮𝗴𝗲 𝗰𝗼𝗻𝗰𝗿𝗲𝘁 👉 Choisissez le ou les webinars qui correspondent à vos enjeux et inscrivez-vous !