B2B ad examples

When one carrier in a market gets field-level risk classification, underwriting quality diverges. They price risk others cannot see. Adverse selection follows. Treaty terms reflect the difference. The advantage compounds each season. This is not a forecast — it is already in motion in agricultural lending and insurance in sub-Saharan Africa.

"ASA’s Neurodiversity Training helped our leaders build the skills to support neurodiverse staff and ensure they are set up for success.”

Your MIFIDPRU return has been submitted. But how easy is it to show exactly where the numbers came from? When a figure is challenged, having the answer isn’t always enough. You need the evidence behind it, from source data and calculations to adjustments and approvals. We help firms build a clearer, governed evidence trail around their regulatory reporting. Make every number defensible.

Look familiar? When regulatory reporting relies heavily on spreadsheets and manual processes, version control can quickly make it harder to establish exactly what was reported and why. Your MIFIDPRU evidence trail shouldn't depend on finding the right file.

New blog 🎉 Another chapter in our AutoMQ journey at Fresha from Nicoleta Lazar This time: migrating our outbox Kafka cluster from AWS MSK to AutoMQ | Low Latency Diskless Kafka® on S3. The tricky part wasn’t moving Kafka itself, but doing it without losing events or forcing a big-bang consumer cutover. The answer was a mix of dual writes, replay, and Inbox deduplication. No Kafka Linking this time as the target topics were populated independently and wire format was changed as well. This post covers the migration design, rollback safety, and how we moved application events to diskless Kafka on S3. 🌊 ⚙️ 📕 Read: https://lnkd.in/ePVD5dYv 💬 Comments welcome #ApacheKafka #AutoMQ #Fresha #DisklessKafka #AWS #MSK #DataEngineering #OutboxPattern

𝐃𝐢𝐬𝐤𝐥𝐞𝐬𝐬 𝐊𝐚𝐟𝐤𝐚 𝐈𝐬 𝐑𝐞𝐝𝐞𝐟𝐢𝐧𝐢𝐧𝐠 𝐭𝐡𝐞 𝐊𝐚𝐟𝐤𝐚 𝐖𝐨𝐫𝐥𝐝. By 2026, Diskless Kafka has moved beyond theory. Don't take my word for it. Check the comments for first-hand AutoMQ production stories, job posts naming AutoMQ, and open-source contributions to AutoMQ from engineers at leading companies. Traditional Kafka binds compute to broker-local disks. In the cloud, scaling means partition movement, overprovisioned storage, and stateful broker recovery. Diskless Kafka changes the model: object storage is the durable layer, and brokers provide stateless compute. AutoMQ preserves Kafka protocol compatibility, so clients and integrations keep working. Three public signals around AutoMQ stand out in 2026: open-source contributions, production and field adoption, and hiring demand. 𝐒𝐢𝐠𝐧𝐚𝐥 𝟏: 𝐎𝐩𝐞𝐧-𝐬𝐨𝐮𝐫𝐜𝐞 𝐜𝐨𝐧𝐭𝐫𝐢𝐛𝐮𝐭𝐢𝐨𝐧𝐬 (𝐂𝐨𝐦𝐦𝐞𝐧𝐭 𝟏) Engineers from 🇺🇸 Stripe, 🇺🇸 Workday, 🇺🇸 IBM, 🇰🇷 NAVER, 🇺🇸 Vungle, 🇳🇱 Booking.com, 🇹🇷 Getir, and 🇨🇳 SF Express have contributed code, issue reports, performance feedback, and design proposals to AutoMQ. Thank you for helping strengthen the project and the broader Diskless Kafka ecosystem. 𝐒𝐢𝐠𝐧𝐚𝐥 𝟐: 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐟𝐢𝐞𝐥𝐝 𝐚𝐝𝐨𝐩𝐭𝐢𝐨𝐧 (𝐂𝐨𝐦𝐦𝐞𝐧𝐭 𝟐) 🇺🇸 𝐀𝐝𝐨𝐛𝐞: AutoMQ runs across 40+ services in an observability stack. Across the stack, the author reports cutting quarterly Datadog spend by roughly 70%. 🇰🇷 𝐋𝐆 𝐔+: 2.2 billion log messages per day through AutoMQ on AWS ECS. 🇸🇬 𝐆𝐫𝐚𝐛: Terabytes per hour, 3x throughput per CPU core, 3x cost efficiency, and partition reassignment reduced from up to six hours to under one minute. 🇺🇸 𝐋𝐚𝐫𝐚𝐯𝐞𝐥 𝐂𝐥𝐨𝐮𝐝: AutoMQ serves as the Kafka-compatible ingest layer for Grafana Mimir 3.0; metrics volume grew by roughly 10x. 🇬🇧 𝐅𝐫𝐞𝐬𝐡𝐚: About 150 Kafka Connectors migrated from Amazon MSK in days without downtime, with Kafka cost reduced by about 50%. 🇮🇳 𝐎𝐧𝐞𝐈𝐨𝐓: After one month in production, the author reports 62% lower infrastructure cost, roughly 25-second broker recovery, and scale-out from one to five brokers in under two minutes. 🇧🇪 𝐃𝐏𝐆 𝐌𝐞𝐝𝐢𝐚: A Strimzi, AutoMQ, and ClickHouse stack for media events, reported at about $750 per month before AWS discounts. 🇩🇪 𝐂𝐨𝐥𝐨𝐫𝐬: A three-node AutoMQ field deployment on Vultr and Cloudflare R2, refined through 23 convergence runs. 🇨🇦 𝐏𝐢𝐜𝐨𝐌𝐐: A new Durable Streams product whose Rust S3Stream engine is derived from AutoMQ S3Stream. 𝐒𝐢𝐠𝐧𝐚𝐥 𝟑: 𝐇𝐢𝐫𝐢𝐧𝐠 𝐝𝐞𝐦𝐚𝐧𝐝 (𝐂𝐨𝐦𝐦𝐞𝐧𝐭 𝟑) AutoMQ appears by name in public recruiting materials from 🇺🇸 DoorDash, 🇬🇧 Deliveroo, 🇺🇸 CoreWeave, and 🇬🇧 VTEX. • AutoMQ is open source with 10,000+ GitHub stars: https://lnkd.in/gZ96Ze7J • Start your 30-day AutoMQ Cloud free trial on the official website: https://lnkd.in/d6kwJEKu

Considering that 20% of the population is #Neurodivergent (e.g. #Autism, #ADHD, #Dyslexia, #Dyspraxia), it is inevitable that many people in your organisation belong to the ‘world’s biggest minority group’ – that’s over five million Australians, and over 1.6 billion people worldwide. In our latest blog post, our Learning and Development Manager, Brendon Eglinton, shares his insights on how our Neurodiversity Training Program (https://lnkd.in/ghC2fSQJ) has helped more workplaces become neuroinclusive by implementing our lived experience tips and tricks, which are all low or no-cost. We’ve even had people in the audience disclose their #Neurodivergence for the very first time because they were in a safe environment! 'A common thread is the realisation that neurodiversity in the workplace is not that bloody hard! Many begin unaware or hold preconceptions about autism, ADHD, dyslexia and other neurodivergent elements. Sharing who we are helps participants personalise and relate during the learning experience.' Read more here: https://lnkd.in/grRXFTJZ #Sustainability #UNSDG #SustainableDevelopment #GIS #GeographicInformationSystems #MechanicalEngineering #DigitalEngineering #CivilEngineering #ElectricalEngineering #Neurodiversity #NeurodiversityInTheWorkplace #NeurodiversityAtWork #Diversity #DiversityAndInclusion #NeurodiversityTraining #SocialEnterprise #Spatial #SpatialData #SpatialIntelligence #Geospatial #Engineering #SocialImpact #NeurodiversityTraining

Cut through the clutter with an AI-powered dashboard designed for multi-store dealer groups. See the full picture and act on it. Book your walk through today.

Eliminate manual reporting and outdated dashboards. Let Autograph handle the heavy lifting so you can focus on strategy. Get a custom demo.

Automate document processing 80% faster with 99% accuracy across invoices, contracts, POs, and more. See how leading companies cut hours of manual work with Astera’s AI. Book a 30-minute demo and watch full automation live.

Your team’s productivity shouldn’t depend on who knows where the data lives. Ask Gloria connects to all your business apps, CRM, emails, sheets, dashboards and delivers answers in seconds. Join 2,000+ businesses already saving up to 80 hours per week. 💡 Try it free for 7 days today!

Finance and retail firms cut document processing time by 80% using Astera’s AI-powered data extraction. Astera automates manual workflows, freeing teams to focus on high-value, strategic tasks and not data cleanup.

"After trying three different AI apps for my business, Ask Gloria is the one that's genuinely worked." This is from one of our clients. We understand that there’s a huge trust barrier when it comes to the application of AI. After speaking to more business owners, it’s evident that many are reluctant because a lot of AI products launch and then fail shortly after... Or they've had a mediocre experience from one that promised rainbows to shine out of their screens. We’ve successfully had over 2,000 businesses use Ask Gloria across a range of industries. There will be thousands more. Ask Gloria is built to do one thing exceptionally well, provide clarity over chaos, and by doing that, you'll save a lot of money and time.

Ever wonder what's actually happening inside an AI model when it learns? We did too... so we made the Floofies - cute furry characters that represent the parameters (the actual math) powering every LLM you use. Presented to you - Episode 1:🎬 The Great Training - we break down gradient descent and training. Picture this: wild, bumpy creatures with random values scattered across a vast landscape. They play a game billions of times - guess the next word - and slowly transform into smooth, intelligent beings. Sounds silly, but this is literally how AI training works. It's for anyone who wants to actually understand this stuff, not just use it. #AI #MachineLearning #LLM #DataAnalytics #AIEducation

Between them, Supper co-founders Lowell Putnam and Andrew Salamon have nearly a dozen exits. View this webinar to learn about decision frameworks, when OKRs help (vs. hurt), and how to make your board a true advantage: https://lnkd.in/eckNBQFB Unlock a practical “operating system” for running a startup.

Between them, Supper co-founders Lowell Putnam and Andrew Salamon have nearly a dozen exits. Watch this webinar recording to learn about their decision frameworks, when OKRs help (vs. hurt), and how to make your board a true advantage: https://lnkd.in/evqTP65R Unlock a practical “operating system” for running a startup.

Ever wonder what's actually happening inside an AI model when it learns? We did too... so we made the Floofies - cute furry characters that represent the parameters (the actual math) powering every LLM you use. Presented to you - Episode 1:🎬 The Great Training - we break down gradient descent and training. Picture this: wild, bumpy creatures with random values scattered across a vast landscape. They play a game billions of times - guess the next word - and slowly transform into smooth, intelligent beings. Sounds silly, but this is literally how AI training works. And if understanding how AI learns helps you use it better - our latest article takes the next step. “AI Analyst Prompt Engineering Beyond Coding: Context Engineering for Analytics Workflows” shows how to craft prompts AI genuinely understands, by speaking its true internal language - context, structure, and constraints. Click on Learn More for the full article! It's for anyone who wants to actually understand this stuff, not just use it. #AI #MachineLearning #LLM #DataAnalytics #AIEducation

Independent research from BARC shows why observability is becoming non-negotiable in 2025. Get the roadmap for building programs that actually work.

The exact frameworks CDOs use to get executive buy-in, secure continuous funding and build lasting support. Skip the guesswork. Get the blueprint.

Headed to KubeCon? So are we! Let’s talk FinOps that actually works. Attribute gives you full visibility into multi-tenant costs and shared resources, no tagging, no manual setup. Meet us at Booth #2154

Headed to KubeCon? Let’s talk FinOps that actually works. Attribute gives you full visibility into multi-tenant costs and shared resources, no tagging, no manual setup. Meet us at Booth #2154 and see the difference.

Any question, anytime—Athenic gives your data team instant clarity without SQL or dashboard delays.

Elite teams don't guess—they decide. Athenic delivers instant insights so you move while competitors wait.

¿𝗧𝗿𝗮𝗯𝗮𝗷𝗮𝘀 𝗰𝗼𝗻 𝗲𝗻𝘁𝗼𝗿𝗻𝗼𝘀 𝗺𝘂𝗹𝘁𝗶𝗰𝗹𝗶𝗲𝗻𝘁𝗲? 📌 El 𝟭𝟵 𝗱𝗲 𝗳𝗲𝗯𝗿𝗲𝗿𝗼 aprenderás a cómo operar 𝗣𝗮𝗻𝗱𝗼𝗿𝗮 𝗙𝗠𝗦 en modo MSP durante 𝟰 𝗵𝗼𝗿𝗮𝘀, en un entorno real. • Monitorización estandarizada • Automatización operativa • Control remoto • Informes por cliente Sin teoría innecesaria. Sin adornos 📆 𝗥𝗲𝘀𝗲𝗿𝘃𝗮 𝘁𝘂 𝗽𝗹𝗮𝘇𝗮 𝗵𝗼𝘆 𝗺𝗶𝘀𝗺𝗼: https://lnkd.in/eXM9_gEE #PandoraFMS #MSP