B2B ad examples

Payment teams modernizing legacy infrastructure usually face the same two choices: keep paying mainframe MIPS costs, or take on a rip-and-replace project that risks everything at once. This webinar will explore a third path: a three-phase modernization approach for high-volume payment systems, plus a live demo of offloading read and analytical workloads from the mainframe to a real-time payments application. The practical payoff is reduced MIPS use and lower operational cost, with digital applications that scale without forcing a full migration. This is the first detailed look at how GridGain, the in-memory computing company MariaDB recently acquired, fits into payment architecture. Register to join us on June 23!

Statsig is transitioning to new ownership. Don't let vendor transition uncertainty stall your production feature flags. Why engineering teams are migrating to GrowthBook: 𝗪𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗲-𝗡𝗮𝘁𝗶𝘃𝗲: Run tests directly against your own data warehouse. 𝗢𝗽𝗲𝗻 𝗦𝗼𝘂𝗿𝗰𝗲 𝗖𝗼𝗻𝘁𝗿𝗼𝗹: Fully transparent architecture with zero vendor lock-in. $𝟭𝟬𝟬𝗞 𝗖𝗼𝗻𝘁𝗿𝗮𝗰𝘁 𝗕𝘂𝘆𝗼𝘂𝘁: 100% free until your current Statsig agreement ends. Learn how to claim your buyout and secure a risk-free transition roadmap.

Trapped in a Statsig contract while the platform goes through a corporate transition? Don't let lock-in freeze your product roadmap. Migrate to an actively innovative infrastructure without the financial penalty: 𝗔𝗰𝘁𝗶𝘃𝗲 𝗩𝗲𝗹𝗼𝗰𝗶𝘁𝘆: Continuous feature updates engineered specifically for modern DevOps. 𝗗𝗮𝘁𝗮 𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝘆: Your core operational and experiment metrics stay inside your warehouse. 𝗭𝗲𝗿𝗼 𝗖𝗼𝘀𝘁 𝗢𝘃𝗲𝗿𝗹𝗮𝗽: We completely waive our platform fees until your agreement runs out. See how you can lock in your buyout eligibility and keep your developers shipping.

Stop spending nights turning Excel exports into slides. With Coreworks AI, you upload your spreadsheets, CSVs, or Google Sheets and instantly get a meeting-ready, on-brand presentation. It thinks like a sharp analyst and a presentation designer, surfacing real insights with traceable metrics you can defend in any executive, board, or client meeting.

Your team shouldn’t spend hours each week copying numbers into slides. With Coreworks, you upload your data once and automatically generate a complete, on-brand deck every time. Update the data, refresh the deck, and keep the narrative consistent across finance, strategy, operations, and compliance functions.

Versnipperde systemen? Eindeloos zoeken naar informatie? Corsa Workspace brengt alles samen in één modulair platform. Beheer je data centraal, automatiseer processen met AI en werk efficiënter in een omgeving die aansluit op jouw organisatie. Zo houd je tijd over voor wat écht belangrijk is.

Are you checking Claude's claims? Auditing ChatGPT for hallucinations? Making sure AI's analysis is *actually* sound before sharing? Data, strategy, finance, and executives agree: sharing quality AI-assisted work is hard, and validating against hallucinations is even harder. With Count, turn any AI output into an auditable, shareable output for free. Here’s how: 1️⃣ Start with an AI answer: From Claude, ChatGPT, or any AI app, push your threads and thinking to Count to identify claims. 2️⃣ Check claim credibility: On the canvas, every claim is mapped out. Trace sources, check logic, and see where the LLM's hallucinated. 3️⃣ Challenge reasoning together: Invite your team for free and inspect the results in tandem, and in real-time.

Are you checking Claude's claims? Auditing ChatGPT for hallucinations? Making sure AI's analysis is *actually* sound before sharing? Data, strategy, finance, and executives agree: sharing quality AI-assisted work is hard, and validating against hallucinations is even harder. With Count, turn any AI output into an auditable, shareable output for free. Here’s how: 1️⃣ Start with an AI answer: From Claude, ChatGPT, or any AI app, push your threads and thinking to Count to identify claims. 2️⃣ Check claim credibility: On the canvas, every claim is mapped out. Trace sources, check logic, and see where the LLM's hallucinated. 3️⃣ Challenge reasoning together: Invite your team for free and inspect the results in tandem, and in real-time.

Don't let your AI strategy fail before it starts. Download the interactive assessment to help pinpoint the gaps in your data infrastructure and future-proof your marketing data foundation.

❌ Dun & Bradstreet blocks you from reselling and monetizing data. ✅ Global Database gives you complete rights – build products, resell, and grow revenue streams. 👉 Smarter data. Smarter monetization. All for €99/month.

🚀 Forget Dun & Bradstreet’s restrictive licenses. With Global Database you get full commercial rights – create derivative products, resell data, and scale without limits. 👉 All for just €99/month.

Synthetic data is not real-world data. But neither is it “fake” like most of us seem to believe. It’s artificially generated from real datasets using statistical models that preserve patterns, distributions and correlations, but without copying the original records. By 2030, Gartner predicts synthetic data will outpace real data as the main source for AI training. Today, companies are turning to synthetic data to: • Work around GDPR/PII (Personal Identification Information) restrictions • Balance out biased datasets • Generate edge cases they’ll never see in limited real-world data While also being safer, synthetic data is also faster, cheaper, and more flexible than waiting for the “perfect” dataset for your models. Grepsr’s synthetic data isn’t random. It's powered by over a decade of high-quality, domain-rich seed data we’ve collected for enterprises across multiple industries. Generate your own sample synthetic data here👇 https://lnkd.in/gbvT5Sqp #SyntheticData #AITraining #Grepsr

Get the data you need customized according to your requirements - delivered on time and at scale. Leave the heavy lifting to us so you can focus on what you do best!

What if missing the critical trace was no longer a risk? Grepr’s Signature Sampling keeps every unique path visible so you always know what’s happening, even in complex systems.

We’re thrilled to sponsor an evening of Topgolf swings, real talk on ops wins (and fails), and casual conversations with Marketing Ops Community on November 20 in Canton. Join fellow marketing, revenue, and operations leaders at Topgolf Canton for a fun and informal way to connect, share insights, and celebrate another big year in marketing operations. Event Details: ▪️ Date: November 20 ▪️ Time: 6:00 - 8:30 PM EST ▪️ Location: Topgolf Canton | 777 Dedham St, Cantan, MA 02021 👉 Learn more and save your spot: https://lnkd.in/gF2-YQFV #MarketingOps #RevOps #B2BMarketing #Convertr #DataIntegrity #AIReadyData

Most APM tools take shortcuts when it comes to trace sampling. We do not. Grepr’s new Signature Sampling captures high fidelity data from every unique execution path so you can catch performance issues that tail sampling misses. See how it works and why it changes observability for the better. https://lnkd.in/gU5xTFdk

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1 million queries routed to DuckDB. 82% cost savings. 10x faster queries on average. One of our earliest Greybeam customers just crossed this milestone 🎉 At the beginning of this year when Arsham and I started buildig Greybeam, we hypothesized that executing Snowflake queries on DuckDB would save customers up to 70% on their workloads. Now that we've been in production for some months with a small handful of customers, we will need to revise this number. For some workloads, we've seen this number reach a staggering 95% while making queries faster on average. It's amazing to see how far we've come, and even more amazing to deliver on our original promise. See you at 10 million!

The cleaner your SQL looks, the worse it might perform. Take this perfectly readable join: FROM orders JOIN customers ON orders.customer_id = customers.id OR orders.legacy_customer_id = customers.id Looks elegant. Runs terribly. Why? Snowflake can't use hash joins with OR conditions! There is no longer one clear key to partition on and the query optimizer has to account for matches on either column. The ugly fix that actually works: SELECT * FROM orders JOIN customers ON orders.customer_id = customers.id UNION SELECT * FROM orders JOIN customers ON orders.legacy_customer_id = customers.id Less readable but nearly 40x faster. This OR join pattern shows up everywhere and it's just one of many innocent looking query patterns that destroy performance. I just wrote a blog that deep dives into 7 ways to make your queries run faster. The others include: - Join optimization - Query pruning - Proper use of warehouse cache - Choosing the right query engine If your queries are slow and expensive, these patterns might be why. 👇 https://lnkd.in/g_v7PjPM edit: the SF10 on the left is a screenshot error. If we run the same query on SF10 it would've taken 2h 57m!

AI is changing security faster than most teams can keep up. Join us for a hands-on workshop built to help practitioners strengthen SecOps workflows and safely operationalize AI. Plus earn 2 CPE credits while you’re at it. You’ll learn: - How AI is reshaping detection & response - Practical guardrails for using AI agents in security workflows - Apply practical frameworks and workflows

AI is revolutionizing the security landscape—are you ready to lead? Participate in our hands-on workshop designed to enhance your skills and adapt your workflows, while earning valuable CPE credits.

We get 10,000+ sign-ups every month. A lot of them use personal emails. For months, we had zero visibility. We didn't know who was behind those sign-ups. Sales was guessing. Marketing was blasting generic nurture sequences. CS was missing expansion opportunities sitting right in front of them. So we built a reverse email lookup for ourselves. Now the funnel updates in real time. A VP from Salesforce. A Sales Rep from Stripe. A RevOps from HubSpot. They appear the second they sign up. Here's what surprised us: 20% of our biggest customers had signed up with a personal email first. They were testing the product under the radar. We almost missed them. Now we catch every single one. If you're a PLG company, run paid campaigns, or have incomplete CRM data, this is for you. Available now for all FullEnrich users. Credits used only on a successful match.

We get hundreds of sign-ups each week. Most of them are personal emails. We had zero visibility for months. We built a reverse identity to fix our own blind spot. Now the funnel updates in real time. A director from HubSpot. A sales lead from Stripe. A product manager from Notion. They appear the second they sign up. We reach out faster. We run cleaner discovery. We move deals sooner. Our sales cycle dropped by thirty percent. We built the tool for ourselves before anyone else. We still use it every single day. If you're a PLG company; run marketing campaigns; or have incomplete CRM data; this is for you. Available now for all FullEnrich users. Credits used only on a successful match.