B2B ad examples

Keep orders moving and opportunities growing with full-scope EDI compliance and modern order management. Order automation meets clean data insights.

Noka streamlines compliance, saves time, and secures top retailer wins with Crisp EDI. Real-time order intelligence transforms operations.

Your world is moving parts, missed windows, and margins that vanish if one vehicle breaks down. You don’t need another theory; you need a sharper playbook written by people who live your reality. Four times a year, you and 9 other field service executives compare what actually moves numbers in the field—so every decision has real-world evidence behind it, not just a slide deck.

You know that question you only ask yourself at red lights and hotel check‑ins: “Am I the only one holding this whole thing together?” You shouldn’t have to carry that alone. This room is 10 field service leaders who’ve seen the same chaos, made the same calls, and are ready to trade the answers nobody else in your company even knows you need.

"Our data is fairly complete" isn't good enough anymore. 🔍 CDQ's free AI Readiness Scorecard replaces the guesswork with a measurable score across 5 weighted dimensions - so you know exactly where you stand before you scale AI. ✅ Free assessment 📊 Score 0-100, three clear tiers 🗺️ A roadmap, not just a report 🎁 See where CDQ Genius fits based on your result

Most teams assume their data is "good enough" for AI. Few have actually measured it. 📊 CDQ's free AI Readiness Scorecard gives you a clear, fact-based score before you invest further in AI initiatives. ✅ Free · no sign-up hassle 🎯 5 weighted dimensions, one clear score (0–100) 🗺️ Low / Moderate / High - plus what to do next ⏱️ Takes minutes, not weeks

🚀 Up to €30,000 in funding to get started with Catena-X Rising customer expectations, new reporting requirements, and fragile supply chains are presenting many companies in the automotive industry with the same challenge: information must be exchanged with partners quickly, securely, and efficiently. Catena-X makes this possible: The dataspace enables companies to exchange data with their business partners according to common standards and rules via unified processes. Most importantly, you retain control and decide what information to share with which partners. The data is neither collected on a shared platform nor managed centrally. Typical applications include the exchange of CO₂ data, quality information, or details on available capacities and demand. Getting started in 2026 is easier than ever: As part of a study by the German federal government, companies receive financial support to establish productive data exchange in Catena-X. Depending on the use case, €15,000 or €30,000 in funding is available to cover initial implementation and setup costs. This offer is particularly interesting for: ✅ SMEs and companies that want to use Catena-X for the first time ✅ Organizations with little experience in the field of data spaces ✅ Teams that want to implement specific use cases, such as Product Carbon Footprint (PCF), certificate management, or the Digital Battery Passport 🏛️ The Data Space Accelerator is funded by the German Federal Ministry for Economic Affairs and Energy and has a total funding budget of 23 million euros. The study will take place exclusively in 2026. Interested? 🔗 Learn more and apply: https://lnkd.in/eRz6K2rv

Attention, automotive industry 🚘: Up to €30,000 in funding to get started with data exchange via Catena-X Learn more now --> https://lnkd.in/eRz6K2rv

Sua equipe tem informações suficientes para aprovar um cliente ou parceiro com segurança? Cadastros incompletos dificultam a validação e podem deixar riscos passarem despercebidos. A Datahub fornece dados para conhecer melhor pessoas e empresas, fortalecer processos de KYC e KYB e apoiar sua rotina de compliance. Tenha mais informação para validar com critério e decidir com confiança. Clique em Saiba mais e conheça as soluções da Datahub para sua operação.

Sua operação de pagamentos está crescendo. A validação dos seus clientes acompanha? Cadastros sem validação e dados inconsistentes abrem espaço para fraudes, retrabalho e decisões que colocam o negócio em risco. A Datahub reúne validação cadastral, análise de risco, KYC e enriquecimento de dados para apoiar uma operação mais segura, em escala. Clique em Saiba mais e conheça as soluções da Datahub para sua empresa.

Today we're introducing Cockroach Continuum, built for an era when agentic applications are growing database estates faster than any team can manage by hand. Bring a workload, and Cockroach Continuum folds it into the shared estate — pooling capacity across thousands of isolated databases instead of provisioning each one for its own peak. Cockroach Plenum, our usage-based storage layer, means you pay for the storage workloads actually use rather than what gets provisioned. Cockroach Aegis, a system of agents, watches the estate continuously, observing, recommending, and, under your governance, acting with growing autonomy over time. The foundation is CockroachDB, the same engine trusted in production for a decade. Cockroach Continuum is what it evolves into next. 🪳 Alongside Cockroach Continuum, we're unveiling a new look. A visual identity built on the same principles as the product: resilience, adaptability, and technology designed to stay up for anything. https://lnkd.in/eAWijr2q

Your number is down. Should you be worried? If you can't tell, that's a problem. When you can't separate signal from noise, you either waste time chasing something irrelevant or miss something going badly wrong. And you don't want to bother your analysts every time; what if they do all that work only to find it was normal variance all along? Now you can do it yourself, with the help of Holistics AI: find out whether a change is worth worrying about, and what actually drove it. Simply right-click any data point that looks off, choose Analyze increase or Analyze decrease, and Holistics AI runs a two-step investigation for you: 1/ Triage first: The Anomaly Detection skill checks the historical data to decide whether the move actually matters or is just statistical noise. 2/ Then explain: The Contribution Analysis skill breaks down exactly which dimensions and segments drove the change, and by how much. Analyze Changes is the first release under Smart Analysis, our step toward BI that investigates with you, not just something you look at. Soon, you'll ask one question - "how's revenue been lately?" and Holistics AI will run the whole investigation itself: a trend read, an anomaly check, an attribution breakdown, each output feeding the next, then tell you what's actually worth digging into. If you're interested in trying it out, drop us a message! :) #agenticBI #businessintelligence

The best analyst you've ever worked with was probably a little annoying. You'd ask for a number. They'd ask you five questions back. "What are you actually trying to decide?" "Are you comparing to the forecast or last year?" "Do returns count?" They’d say. You'd sit there, thinking "I just want the number, why do you ask so many unnecessary questions", until realize you were about to decide on the wrong one. This is what separates a good analyst from a great one: they ask, a lot. They always challenge the question before answering it. They want full context, and they are as invested in solving your problem as you, even you don't even see what exactly the problem is yet. It's also exactly what most AI skips. You type a prompt, you get a chart. It’s fast, but it’s often slightly off from what you actually need. Nobody pauses to ask. ✨ Holistics AI now pauses to ask. Before running the analysis, our AI checks your intent with clarifying questions. "By region or by product?" "Including returns?" "Compared to forecast or last year?" After it generates results, it suggests what to investigate next. We know that AI can't fully replace the judgment of a great analyst. But it can learn the most important part of the job: asking before answering.

Trace #sampling allows you to harness the power of distributed tracing without breaking the bank, but also adds inaccuracies; let's talk about how you fix that. There are two commonplace ways of doing sampling: probabilistic #HeadSampling and #TailSampling. With probabilistic head sampling, it is like you throw a die for every trace, and keep the trace only if the die's face is low enough. With tail sampling, you collect the traces and keep those that are *interesting*, typically slow ones and erroneous ones. Head and tail sampling reduce the accuracy of your data, over or underestimating error rates and latencies of your services. (Btw, creating animations with LLMs is pretty addictive.) What can you do to reduce inaccuracies? You additionally record rate, errors and durations (RED) metrics for your services on the full data before sampling. With #OpenTelemetry, you can do trace sampling and #RED metrics collection with the same pipeline setup. Sometimes you also combine the two methods: tail sampling for interesting traces and probabilistic head sampling for baselines. However, processing the resulting data in alerting and dashboards is usually a challenge, while RED metrics make it easy. I wrote an article about this a little while ago that is still pretty relevant, and there is also an accompanying talk, which I fearlessly link in the main post: * https://lnkd.in/eKJCyuXy * https://lnkd.in/eRaczB4N What else do you do to improve the accuracy of trace sampling?

Your agent can log in and still reach the wrong data. The Data Authorization Layer decides what the request can access and why.

Your access model was built for people. Your data estate is serving machines. A data authorization layer is needed for agentic data access.

One event. Hundreds of industry connections. The African base oils market depends on international trade, and making strong business relationships more important than ever. The ICIS African Base Oils and Lubricants Conference brings together senior executives, procurement professionals, traders, distributors, producers and blenders from across Africa and key global supply hubs. If expanding your network, finding new customers or securing future supply is a priority for 2026, this is where the industry's most important conversations happen. Download the sample attendee list to see the calibre and diversity of companies that attend.

Join data visionaries, Cloudera experts, and customers at EVOLVE26, the industry’s must-attend Data and AI Conference.

EVOLVE26 is the industry’s biggest Data & AI event. See how leading organizations are turning AI into reality and hear from the visionaries behind the next wave of game-changing AI innovation.

Coupler.io covers 400+ sources on one plan — ads, CRM, ecommerce, finance, email. and more. Connect the accounts, pick the columns, set the refresh. One connector to run, one bill at renewal, no per-destination fee.

Hi %FIRSTNAME%, AI isn’t just another workload. It’s always-on, machine-driven traffic that finds the weak points in data architecture fast. In The State of AI Infrastructure 2026, we asked 1,125 senior cloud, engineering, and infrastructure leaders how their systems are holding up. A few of the findings: • 83% expect their data infrastructure to hit its limit within two years without major upgrades • 30% name the database as the first point of failure in an AI-overload scenario • 57% say an hour of AI-related downtime costs over $100K Grab the full report below to see where teams are investing to stay ahead.

Coupler.io loads ads, ecommerce, finance and CRM into BigQuery as ready-to-use tables, refreshed daily. Every report reads one source, so the numbers stop disagreeing. No SQL. No code. Start free — 7 days, no card.

A problem most construction contractors have: when you ask Finance, Commercial and Ops what a job has cost, you get 3 different numbers. Tellum connects and syncs your data, so you have a single source of truth – and clarity on what’s actually happening across your projects. Get a prototype with your real data in 48 hours. Free of charge. Request now. 🏗

Osabudjetit, skenaariot, kassavirtaennusteet ja toteumaseuranta samassa työkalussa. Data yhdistyy automaattisesti kirjanpidosta ja muista järjestelmistä. Fuusor on rakennettu talousjohdolle, joka tarvitsee vastaukset silloin, kun niitä kysytään.