B2B ad examples

À mesure que les tours de la présidentielle 2027 approchent, chaque jour de collecte compte double ⏱️ Une base mal qualifiée, ce sont des délais qui débordent le calendrier électoral et des coûts qui explosent sur chaque enquête. Tout se joue avant le premier contact. ✅ Avec une base de contacts enrichie et qualifiée en amont, vous ciblez directement les bons profils. Ce livre blanc vous montre comment repenser votre collecte d’opinion pour tenir les délais et les coûts sans sacrifier la représentativité. Téléchargez-le maintenant.

𝐒𝐜𝐚𝐥𝐢𝐧𝐠 𝐎𝐩𝐞𝐧𝐒𝐞𝐚𝐫𝐜𝐡® 𝐬𝐡𝐨𝐮𝐥𝐝𝐧’𝐭 𝐦𝐞𝐚𝐧 𝐬𝐜𝐚𝐥𝐢𝐧𝐠 𝐲𝐨𝐮𝐫 𝐨𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐛𝐮𝐫𝐝𝐞𝐧. NetApp Instaclustr handles the infrastructure, monitoring, maintenance, and scaling—so your team can focus on building, not managing.

Reassessing the cost and complexity of DataStax? Move to NetApp Instaclustr with 𝐳𝐞𝐫𝐨 𝐝𝐨𝐰𝐧𝐭𝐢𝐦𝐞 and gain the economics of 100% 𝐨𝐩𝐞𝐧 𝐬𝐨𝐮𝐫𝐜𝐞 Cassandra®—without putting business-critical workloads at risk.

79% of organizations are confident they can detect AI agents. Only 23% have a proactive strategy. Get the data behind the gap.

🔎 La IA está redefiniendo el riesgo de privacidad Gartner prevé que, para 2029, la mayoría de los incidentes de privacidad estarán relacionados con inferencias generadas por IA sobre las personas, y no con la exposición directa de datos personales. Ante este escenario, CISOs y equipos de privacidad están reforzando sus estrategias con nuevas tecnologías, gobernanza y Privacy by Design. Explora las tendencias y capacidades que marcarán la evolución de la privacidad en el Gartner® Hype Cycle™ for Privacy, 2026. ✅ Descarga el informe.

🗣 La privacidad de verdad requiere tecnología de tratamiento de datos. No alcanza con definir políticas o gestionar consentimientos. Data Discovery. Subject Rights Requests. Privacy Management Tools. Privacy by Design. Synthetic Data. La privacidad efectiva necesita capacidades que permitan encontrar, proteger, transformar y actuar sobre los datos allí donde realmente viven. ✅ Descubre las tecnologías que analiza el Gartner® Hype Cycle™ for Privacy, 2026.

For over a decade we've watched AI initiatives stall on "the data." Duplicate records, conflicting dashboards, metrics that never reconcile. Leaders call it poor data quality. More often it's the technical residue of a business disagreement nobody ever resolved, and we watch the organisation slowly paint itself into a corner. Ask five departments in the same company "who is an active customer?" and you'll get five answers. Each one correct, yet probably different. Traditional reporting could absorb years of ambiguity, because teams quietly worked around each other's definitions, or found more subtle, unspoken ways to stay aligned. AI tends to consume every domain entirely, with little of that between-the-lines nuance. So every unresolved question about ownership and truth becomes operational overnight. That's a problem if you're trying to implement AI or optimise your data stack. And a tricky one to climb out of, if I may add. AI projects usually don't have a data problem. They have an alignment problem. The evidence is hard to ignore: → MIT: 95% of enterprise GenAI pilots produced no measurable P&L impact → McKinsey: only 37% of firms attribute any EBIT to AI, flat year on year → Gartner expects 60% of AI projects without AI-ready data to be abandoned The organisations pulling ahead aren't buying better models. They're redesigning how work gets done, and agreeing on what the business actually believes to be true before the first line of code. Or at least getting as close to it as they can. Skip that step and you build something we've started calling AI debt. The first project survives. The second gets harder. The fourth becomes impossible to trust. Eventually you spend more effort validating outputs than generating value from them. Sound familiar? So here's a test worth running before your next AI project. Put four things in front of your team: 1. the problem you're solving 2. what success looks like 3. the data it depends on 4. who owns the truth Then see if the four answers actually match. If they do, you're further ahead than most. If they don't, you've got a bit of a mountain to climb, and that's the part we find most interesting. Always glad to compare notes with anyone carrying this kind of mandate. Full article here on our article page: https://lnkd.in/eiA4Hv77 #AITransformation #DataStrategy #AILeadership

Your client paid expert rates. The expert typed the question into ChatGPT and read the answer back. We check every call for it and tell you if your experts are risking your credibility. Runs on the transcription pipeline you already use. Get an AI plagiarism audit of your own calls.

Experts are cheating using AI. The question is which ones? Our AI plagiarism detector has been pilot with one of the world's largest expert networks, and selected in their own blind test. Get an AI plagiarism audit of your own calls.

𝗖𝗲𝗹𝗲𝗯𝗿𝗮𝗺𝗼𝘀 𝗷𝘂𝗻𝘁𝗼𝘀. Festejamos não só o que somos hoje, mas também a história que nos trouxe até aqui: 120 anos de evolução, inovação e compromisso com os nossos clientes. 120 anos apoiar as decisões de negócio Imagine Next — O futuro tem passado

𝗖𝗼𝗻𝘃𝗶𝘁𝗲 | 𝗪𝗲𝗯𝗶𝗻𝗮𝗿 No próximo dia 17 de setembro , às 10h00, participe no webinar da Informa D&B e conheça uma nova forma de analisar empresas, identificar oportunidades e tomar decisões mais informadas. 🔗Saiba tudo: https://lnkd.in/eyaKBirw

Cross-border fraud runs 3× higher than domestic. Legacy monitoring can’t see between the hops. Get the guide for payment leaders.

Your biggest sales day is also your riskiest. When volume spikes, milliseconds decide revenue — watch every transaction in real time.

Excited to once again meet with industry colleagues at IBC - International Broadcasting Convention 2026, in just a couple of weeks' time! Team Hydrolix will be at the show in force, both on our own booth (Hall 14, C47), and via various collaborations with our awesome partners Accenture, Amazon Web Services (AWS), Bitmovin, CacheFly, EINBLIQ.IO, Fastly, G&L Systemhaus, GlobalDots, Touchstream, TrackIt, and Varnish Software amongst others! We're also looking forward to participating in the Rise 4K for the Future annual charity race - always a great event, and always a nice way of connecting with the media technology community at large. Link in the comments! If you'd like to set up some time to catch up whilst in Amsterdam, ping me or use the link below. Look forward to seeing old friends and making new ones at the show. *text generated by a human / image generated by an LLM. I blame the prompter. https://lnkd.in/eYS373vH.

Something special, just for you 👀 Introducing Riva Vision, a 100% free, sign-up-free, no-strings-attached tool that instantly transforms your spreadsheet into a ready-to-share dashboard. Think of it like a bite-sized Hurree platform. Whether you constantly find yourself needing last-minute client dashboards or can never quite find the reporting tool that really understands marketers. Riva Vision is here to make the most tedious part of your day the easiest! Why not give it a go? 👇

Whether you're investigating a suspicious login, detecting credential stuffing, or evaluating high-risk activity, residential proxy detection provides additional context that can support more informed risk evaluation. See below how the residential proxy signals available in IPinfo Max fit into fraud prevention and threat detection workflows. Learn more about residential proxy detection now available self-serve: https://lnkd.in/eBYXZUcc/?utm_campaign=Prospecting-Awareness&utm_source=linkedin&utm_medium=paid&utm_id=1196840856&hsa_acc=503443399&hsa_cam=1196840856&hsa_grp=875450736&hsa_ad=1599409906&hsa_net=linkedin&hsa_ver=3

Your IPinfo database downloads just got a lot lighter. We’ve rolled out a lossless optimization across our MMDB datasets that reduced file sizes by up to 81%, while keeping every network, field, and lookup result intact. Across the 80 databases we generate daily, the full catalog is now 24.4 GB smaller. For teams working with IPinfo databases, smaller files can mean faster downloads, lower memory requirements, and more room to grow, all with the same format and tooling you already use. See what changed and how much each database shrank: https://lnkd.in/eWknHfPh/?utm_campaign=Remarketing%2526Reengagement-Conversions&utm_source=linkedin&utm_medium=paid&utm_id=1186453146&hsa_acc=503443399&hsa_cam=1186453146&hsa_grp=864103466&hsa_ad=1599419986&hsa_net=linkedin&hsa_ver=3

Time series data gets more interesting when you stop treating it as something to query later and start using it as input to the system itself. That means catching tool wear before a machine fails, shifting load before demand spikes, or spotting rising latency before customers notice. The common thread is that the data is being used to make a decision while the decision still matters. That’s the loop: detect what’s changing, anticipate where it’s going, and take action. We broke down how that pattern works in practice and why more time series workloads are moving from passive monitoring toward systems that can respond in real-time. 👇

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What’s missing from your legal research process? Whether you need to serve a complaint to a defendant or interview a potential witness, sifting through unreliable data sources is costly. For 3+ years, a top personal injury law firm has leveraged idiCORE™ to: 🔍 Verify identities and create detailed person of interest reports 📓 Access death records 🚗 Locate assets, witnesses, and defendants

What’s missing from your legal research process? Whether you need to serve a complaint to a defendant or interview a potential witness, sifting through unreliable data sources is costly. For 3+ years, a top personal injury law firm has leveraged idiCORE™ to: 🔍 Verify identities and create detailed person of interest reports 📓 Access death records 🚗 Locate assets, witnesses, and defendants

How are your peers reshaping risk, compliance, and customer engagement by harnessing real-time, high-quality data? Dive into Celent’s latest research to explore how modern data platforms are transforming decision intelligence.