Kevin Emamy

After studying and working with all of the best GTM organisations like Harness, Wiz, Airtable Coralogix, Medallion, MongoDB, Datadog, Checkmarx, Dataiku and Rubrik, it is clear the reason their AE's are so successful... They do their own Pipeline Generation and Self Source as many of their deals as possible. They do not rely on Marketing. They do not rely on the Business Development teams. They do not rely on Partners. They rely on themselves to hit their numbers. Now, factor in Marketing, Business Development and Partners, this is a recipe for a GTM organisation to now smash their numbers. Another critical point - AE's will have way more understanding and accountability for a deal that is self sourced. The best organisations have a GTM engine that works together to generate leads and serve their customers, with AE's and sales leaders at the forefront of this. As an AE - you should not be waiting for deals to come to you. You should be going to get them yourself.

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Fantastic catching up with Camden Swita, Head of AI at New Relic at AWS re:Invent last week to discuss the biggest changes in the world of Agentic AI over the last year! We talked about how New Relic is connecting the dots at AWS re:Invent with major announcements including: - The Security RX agent, an AI agent that automates the process of finding and remediating security vulnerabilities in runtime, saving engineers a huge amount of time - Integrating the Model Context Protocol (MCP) server with AWS DevOps agents to ensure agents can access live context and make informed decisions from production - Camden also shared advice for leaders entering the agent tech space: don't treat observability as a secondary concern, as end-to-end tracing will be "fundamentally essential" for compliance and performance Watch the video to learn more! #Data #AI #AWSRecipes #NewRelic #AgenticAI #Security #MCP #reinvent #NewRelic #TheRavitShow

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🐘We were sending a note to our customer base at ClickHouse, which we thought would be valuable to share with the broader community. 🙂 In Postgres versions 16.9 and 17.5, a rare bug was introduced that can invalidate logical replication slots, potentially disrupting CDC pipelines. If this occurs, it may require a full resync of your data pipeline. You can read the technical details here: https://lnkd.in/gSahRU3q The patch has already been merged into the Postgres main branch and will be available in versions 16.10 and 17.6 soon: https://lnkd.in/gj-Yb32s If you are using logical replication, we recommend holding off on upgrading to Postgres 16.9 or 17.5 for now. Here are all the older versions that got affected too: PG13.21, 14.18, 15.13, 16.9 and 17.5 have the bug

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Why raising a round is like selling your house 🏠 🤑 I recently sat down with Ozan Unlu co-founder and CEO of Edge Delta, a company that is revolutionising the telemetry pipeline with solutions for observability and security. Edge Delta has successfully raised $82 million in funding and has become a key player in addressing the complex challenges of data processing in real-time environments. With a unique background that spans engineering, sales, and entrepreneurship, Ozan brings a wealth of insights on navigating the transition from technical roles to commercial leadership, the evolving funding landscape, and the future of AI-driven data curation. We talked about: 🧠 Retraining your brain away from the technology when you move to selling. 🙈 Customers don’t always tell you what it is that they want. 🛸 Why selling a spaceship is different to selling a t-shirt! 📉 Multiple compression in the public markets will impact later stage rounds. 🚀 From growth to efficiency and back again - how do you beat a 6x year? 😵 How one bad deal can kill your business. 💽 Continuous curation and inference - how do you solve big problems in observability and security when you have petabytes of data. 🤔 Ozan's Ccontrarian advice: You can’t control much as a person, we each have our own personalities and paths. Know where you want to be. Join tens of thousands of people curious about the venture ecosystem and subscribe on YouTube, Spotify or wherever you get your podcasts! YouTube: https://lnkd.in/dyUz_AA9 Spotify: https://lnkd.in/dTkGiiw3 Apple: https://lnkd.in/dqsHyaup

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🚀 Really excited to share that Vantage has launched support for Grafana Cloud costs from Grafana Labs. Vantage is the first #FinOps vendor to support Grafana Cloud and it's our 18th (!) native provider supported on the platform. Instead of linking to our typical Vantage launch blog post, the Grafana team was nice enough to allow me to publish a post on their official blog. In the blog post I cover the integration we've done with them and the importance of bringing the FinOps practice to observability providers themselves. Grafana has also positioned themselves as one of the stronger price-to-performance providers in the observability space. In the future, you can expect more functionality on Vantage that gives customers the ability to compare workloads running on other observability providers to see the cost of switching to a provider like Grafana. Here's a link to the blog post below where I provide a deeper look into this: https://lnkd.in/gjaehcYe

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Today we're rolling out Railway V3; Railway Metal It's powered millions of workloads so far. It's up to 10x faster and, starting today, it's 50% cheaper Not just 50% cheaper than our sticker price; 50% cheaper than AWS/GCP/Azure Because you can't build a cloud on another cloud 👇 https://lnkd.in/gZswNvUf

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At Amazon Web Services (AWS) we work with over 150 #PE firms on tech adoption in their portfolios. Its imperative. For cost savings, for new revenue streams. Frankly, for survival. Leaders in the industry recognise it. “Firms that do not invest in these capabilities might find themselves disintermediated by those using it to their advantage, either to make better investment decisions or to be a better value-added partner to their portfolio companies,” said Timotheus Osnabrug, an investment partner with Investcorp’s Strategic Capital Group (ISCG).

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🤯 Mistral AI has just dropped Mistral OCR 3, and the benchmark results are absolutely stunning. I’ve been looking at their latest benchmark data (check the chart below 👇), and it’s clear: Mistral isn't just competing; they are leading the pack against the biggest names in the industry like AWS Textract, Deepseek OCR, Google DocAI, and Azure. 𝐖𝐡𝐲 𝐚𝐦 𝐈 𝐬𝐨 𝐢𝐦𝐩𝐫𝐞𝐬𝐬𝐞𝐝? Many OCR tools are "specialists"—good at one thing but fail at others. Mistral OCR 3 is a generalist powerhouse. It boasts a 74% win rate over its predecessor and dominates across every critical category: → Handwriting: Mistral OCR accurately interprets cursive, mixed-content annotations, and handwritten text layered over printed forms. → Forms: Improved detection of boxes, labels, handwritten entries, and dense layouts. Works well on invoices, receipts, compliance forms, government documents, and such. → Scanned & Complex Documents: Significantly more robust to compression artifacts, skew, distortion, low DPI, and background noise. → Complex Tables: Reconstructs table structures with headers, merged cells, multi-row blocks, and column hierarchies. Outputs HTML table tags with colspan/rowspan to fully preserve layout. 𝐓𝐡𝐞 𝐓𝐞𝐜𝐡 𝐒𝐩𝐞𝐜𝐬: → Model ID: mistral-ocr-2512 → Speed: Up to 2,000 pages per minute. → Efficiency: Smaller, faster, and significantly more affordable ($1-2 per 1,000 pages). For anyone building RAG pipelines or AI agents, the quality of your LLM is only as good as the data you feed it. Mistral OCR 3 ensures that "garbage in" is a thing of the past. Bravo to the Mistral AI team for pushing the boundaries of what’s possible in document understanding! ------------------- More in comments 👇 #MistralAI #OCR #DocumentAI #GenerativeAI #MachineLearning #Innovation #RAG

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