Tim Griesbach

enChoice®, Inc.'s customers are usually focussed on organizing unstructured data sets to provide enterprise value. To support this, enChoice is creating a cloud-native Enterprise Content Management (ECM) platform using MongoDB Atlas. Find out why Bob Messegee, VP of Solution Engineering at enChoice Inc., believes MongoDB is a developer-first platform that makes development enjoyable and efficient in this The Stack article. https://lnkd.in/gChhV-dM

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Google Cloud Vertex AI is rolling out multiple updates to make AI accessible for every enterprise. Up to 85% lower input costs and 80% lower output costs, and 100+ new languages coming to Gemini 1.5. #GoogleCloud #VertexAI #Gemini

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Google Cloud Vertex AI is rolling out multiple updates to make AI accessible for every enterprise. Up to 85% lower input costs and 80% lower output costs, and 100+ new languages coming to Gemini 1.5. #GoogleCloud #VertexAI #Gemini

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In his letter to shareholders on April 11, 2024, Andy Jassy documented the company’s “primitive services” 🧩 approach to #innovation. Instead of full-form solutions, #AWS builds “discrete, foundational building blocks that builders can weave together in whatever combination they desire.” Every piece of innovation can contribute to several solutions across multiple permutations. 🧠 This is AWS' modular product philosophy, which ultimately determines your capability to partner with them. While helping them innovate faster, it also creates a flywheel 🎡 of sustained effort: ⚙️ Decentralized innovations are continuously stacked over existing solutions. This creates continuous #integration challenges. 💼 Partnering solutions must, therefore, keep up with changing compliance norms and guidance to find the best value out of their relationship with AWS 💪 Developer teams need constant re-education or capability growth to maintain integrations 🟰 Partnering with AWS is an equal relationship. AWS commits to providing the best facilities to all involved stakeholders and effecting small changes throughout the process. In turn, partners and builders are expected to stay ahead of the innovation curve (even in the marketplace). This is also how the most successful ISVs on the AWS #marketplace operate. 🏪 Recognize that listing is a journey Instead of treating their listing as a milestone, a successful Cloud GTM recognizes it as their public storefront inside an environment co-owned by the cloud provider. They understand the effort required to constantly optimize their presence and update their listing in line with changes in their public pricing, packaging, or business goals. 💻 Obsess with maintenance for backend integrity To stay ahead of the market as a software supplier and keep up with the dynamicity of AWS as a platform, businesses need to constantly map changing guidance to their internal systems of truth and third-party GTM tools for visibility across the revenue pipeline. This requires either sharp vendor choices or onerous dev/SalesOps bandwidth to maintain. 💬 Invest sustained effort in maintaining relationships with hyperscaler reps High performers invest in strategy, but true #CloudGTM champions also invest in relationships. By working with AWS reps, businesses can discover new alignments, co-marketing, and co-selling opportunities. This isn’t as easy as just identifying the right AWS sales rep for every opportunity. Co-selling success requires an ISV to build its own ‘right to win’ as a solution that multiplies in value when positioned ‘alongside’ AWS. All of it must ultimately influence your innovation, operational, and tooling choices. These choices must help you innovate quickly and capture the impact of said innovation programmatically. This is how you leverage AWS’s trajectory as a constantly growing cloud solution. What's helped you remain agile? I’d love to know.

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Multi cloud GenAI needs, with all the building blocks for modern applications, from MongoDB...

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Perplexity has teamed up with Amazon Web Services (AWS) to launch #PerplexityEnterprisePro. This partnership marks a big step forward for AI-powered research tools, aiming to bring advanced capabilities to a wider audience while ensuring top-notch security and control. By integrating #AmazonBedrock, Perplexity enhances its AI capabilities, transforming how businesses access and use information. Amazon Bedrock, a managed service for building and scaling generative AI applications, helps Perplexity Enterprise Pro offer more efficient search and analytics. This means teams can work smarter and more effectively, leveraging AWS's infrastructure and Perplexity's AI expertise for a seamless enterprise experience. How is your organization leveraging AI to boost productivity? What challenges have you encountered in this journey? Sharing strategies and insights can help us learn from each other and navigate the complexities of AI integration effectively. I LOVE having Perplexity as a part of my daily work stack - Infinite education! Couldn't be more grateful.. TY, Aravind 🙏, and team for helping me grow. #AWS #AI #Perplexity #Innovation #Productivity #DataManagement #ResearchAndDevelopment #Partnership #AIIntegration #Technology #EnterpriseAI #GenAI #Amazon https://lnkd.in/eXSxEaXU

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Excited to join Amazon Web Services (AWS) at #AWSSummit (https://lnkd.in/gJV25ypV) to explore #GenAI use cases, partner activities, and end-user client's AI production examples. The GenAI space is advancing rapidly. It's no longer "art of the possible", it's all about "art of the profitable". Organizations (and for that matter tech vendors) need to prioritize usecases (which IDC has conveniently documented!) and get moving.... before they're left behind! IDC clients, gimme a minute, but look for a post-event report or set up an inquiry to discuss the landscape. #martech #adtech #AI-enabled

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The increasing adoption of open database standards has highlighted the need for efficient migration tools. This session will showcase how Database Migration Service (DMS) is transforming migrations from Oracle to AlloyDB for PostgreSQL. DMS leverages AI to expedite migrations and enhance developer productivity through code conversion and explainability.

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If you are implementing vector/GenAI scenarios (eg LLM/RAG) don't add complexity into your stack, use a familiar and well known product such as Redis to make the most of your time. Hear first-hand from Amazon Web Services (AWS)

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It was just yesterday that we saw GitHub announce a Copilot Workspace Tech Preview. Now Amazon comes out swinging with what looks like a pretty serious entry into the AI coding assistance space. Will be diving into this one in more depth in the coming days. #AWS #AIDev #GenAI

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Embrace smarter operations with predictive maintenance powered by generative AI. ⚙️ Discover how MongoDB Atlas, the industry's leading developer data platform, helps you analyze sensor data, predict failures, and optimize maintenance schedules. Read this blog to unlock the future of maintenance excellence today! https://lnkd.in/g2uJ9_qE

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Super excited to see MongoDB Atlas Vector Search named as “The Most Loved Vector Database” @Retool’s 2024 State of AI report, published this week. #MongoDB Atlas earned the highest Net Promoter Score (NPS) and was named the second most widely used vector database. This report validates that customers don't want a stand-alone vector database but an integrated solution that unifies vector (embedding), metadata, and operational data to make a developer's life far easier to generate more accurate answers with up-to-date and relevant context that large language models (LLMs) aren't trained on. Check out our blog post for more on the Retool report and the benefits of Atlas Vector Search:

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We are excited to announce the launch of Ursa engine, our Kafka API-compatible data streaming engine that is built on top of Lakehouse. Ursa is not something entirely new; it is built on our many years of experience building and operating #ApachePulsar and #ApacheKafka. To learn more about the #Ursa engine, I recommend our #PulsarSummit keynote presentation and announcement blog post. Here, I’d like to delve deeper into some of its features: 1. Making Kafka API a first-class citizen: In #ApachePulsar, we developed a unified messaging model combining queuing and streaming semantics into one protocol, aimed at enhancing data sharing between business applications. Although powerful and increasingly adopted by enterprises and unicorns, the requirement for application rewrites is impractical in today’s economy. Instead of building data gravity around a protocol, we open up access to the robust stream storage layer by extending support to the Kafka protocol, transitioning from a single protocol to a multi-protocol platform, facilitating greater flexibility and integration. 2. Achieve Stream-Table duality via Lakehouse Storage: Data streams commonly end up in data lakehouses, where integrating and maintaining them can be complex and resource-intensive. Ursa simplifies this by storing data streams as lakehouse tables in object storage. This integration not only streamlines operations but also allows seamless access to operational data for analytical processes. Thanks to its multi-modal storage engine which fosters data sharing across teams and departments. 3. Object storage as the primary storage solution: To better align with cloud economics, particularly for large workloads, Ursa makes ZooKeeper and BookKeeper optional and utilizes a cost-optimized write-ahead log based solely on object storage with leaderless and stateless brokers. This architecture leverages object storage for both data replication and storage, minimizing inter-AZ data transfers and reducing costs for latency-relaxed, high-volume workloads. By integrating these features at the multi-tenant level rather than at isolated cluster levels, Ursa eliminates costly data duplication and movement across clusters, allowing teams to map directly to tenants and be able to share data across teams and departments more efficiently. We believe that the future of data streaming platforms lies in being open and multi-faceted, fundamentally different from traditional data platforms. They are designed not just to store and process data, but to enhance organizational capabilities by fostering data sharing across the organization and integration with other systems. More and more data streaming platforms will look more like Ursa, with multi-protocol, multi-tenant, and multi-modal capabilities. Check out our announcement blog post about Ursa: https://lnkd.in/ghEKTYE6 #ApacheKafka #Lakehouse #DataStreaming

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Summer’s heating up and so is #TomorrowsWDAY! 🔥 Get the full scoop on the #WDAYForeverForward Tour, our debut on the Fortune 500 list, AI innovations at #WDAYDevCon, and more! #TeamWDAY

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Blue Mantis COO and thought leader Jay Pasteris offers strategic guidance on reducing the risks of data leakage associated with GenAI and Microsoft Copilot usage. Check out Jay’s insights in this CPO Magazine article. https://okt.to/g03tmv #LetsMeetTheFuture #ITChannel #CyberSecurity #ai #genai #CopilotSecurity

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Unlock the power of real-time data changes with our Learning Byte on MongoDB Change Streams in 20 minutes! ⏰ Gain insights into opening, closing, and reading change streams, along with filtering events and resuming streams seamlessly. https://lnkd.in/gZbPaN3n

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Tens of thousands of customers are leveraging AWS's generative AI solutions. Based on our customers feedback, security is "the" top priority. That's why we take it so seriously, making it a key focus on compliance, safety, and responsible deployment. Capabilities like data isolation, encryption, secure connectivity, and model access controls are crucial to keep your generative AI application safe and secure. Check out our latest blog post for more details on how AWS Bedrock provides a secure, compliant, and responsible foundation for building your generative AI solutions: https://lnkd.in/dwK7tVsu #AWS #GenAI #AmazonBedrock #Security #Compliance #responsibleAI

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#Firstlinesoftware has a team of AI experts looking for their next challenge. Let us know if you want to jump on a call to discuss how we can assist you with your AI initiatives. Coy Cardwell Alexander Aptus Mikhail Ershov Daria Kolchina

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Amazon Web Services offers unique benefits and funding programs especially valuable to PE firms and their portfolio companies. If you haven’t reviewed them, it’s worth checking out this session I am running with Jeremy Hicks on June 20th that covers an in-depth look at each offering and guides you through applying them to your products and infrastructure.  https://lnkd.in/gea6qqtd #AWS #CloudEfficiency #CostOptimization #PrivateEquity

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