Nadim Hossain

#OCI Streaming with Apache Kafka marks a significant milestone in Oracle’s commitment to delivering high-performance, scalable, and secure #data streaming solutions. Experience firsthand how it can transform your data streaming needs into a competitive advantage. https://lnkd.in/guTnsF3u

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Super excited about the Databricks AI Summit next week! If you are there, come check out my session. I'll be talking with Mitchell Weiss (@mitchbweiss ) from Vail Resorts about all the unique needs Vail has as a company and how they are building a great modern architecture tailored to their needs, as well as how they are embracing a #lakehouse architecture and Amperity. "MODERNIZING DATA: LEVERAGING LAKEHOUSE ARCHITECTURE & DELTA SHARING" https://lnkd.in/g-n-YNVp

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🌟 From Raw Data to Behavioral Predictions—Effortlessly What if AI deployment didn’t require months of preparation? With BaseModel.ai now on the Snowflake Marketplace, you can transform behavioral data into predictions in just a few clicks. ✅ Rapid Deployment: Build and deploy models in a week.  ✅ Scalable Flexibility: Create multiple models for diverse use cases.  ✅ Privacy Guaranteed: Data never leaves the secure Snowflake environment. Say goodbye to complexity and hello to actionable insights. AI for behavioral data has never been this simple. 👉 Try BaseModel.ai Today  #AI #MachineLearning #BehavioralData #BaseModel #Snowflake #Synerise 

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Databricks is thrilled to share that our FedRAMP High agency ATO is now accessible on the Data Intelligence Platform. This milestone marks our continued commitment to providing secure and compliant Data & AI solutions to Government agencies. #DataIntelligence #PublicSector #FedRAMPHigh #AnalyticsSolutions #CloudComputing

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The Forbes 2024 Cloud 100 List is live ☁ Congrats to all the honorees – the world's top 100 private cloud companies –including the 3 healthcare and life sciences companies featured this year: • Benchling - biotech R&D platform • Komodo Health - healthcare data analytics • Abridge - AI for clinical documentation For more on how AI is colliding with cloud computing, check out Bessemer Venture Partners's 2024 Cloud 100 report. Personally I'm focused on advancements in multi-modal AI, as applied to biomedical applications (Trend 3!): https://lnkd.in/euzurvQV

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Proud of our team for participating and demonstrating that our tech is the best in the biz (#1 out of 20). Super cool. But as we know, it is more than tech and the BigID team puts its customers first and helps them use that tech to drive business results. And we couldn't do so with out an amazing ecosystem of partners. Check out the brief article and let us connect you with some of the best minds in data security, privacy, compliance and AI governance! #BigID #BestTech #BestCustomers #BestPartners

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When you know how to create meaningful value, and then deliver that value to users with the lowest friction possible, you control your future.

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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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🎉 Today marks a very special milestone in our journey with #ApachePulsar – we’re celebrating 6 years as a top-level Apache Software Foundation project! 🚀 It’s been an incredible experience watching Pulsar evolve from an idea into one of the most unique and advanced messaging and data streaming platforms out there. What started as a vision to build a system that could handle the complexity of real-time data at scale has grown into something beyond what I could have imagined. The innovation and dedication of the community, the contributors, and everyone who believed in Pulsar's potential have been the true driving force behind its success. From its unique multi-tenancy, geo-replication, and no-data-rebalance capabilities to its ability to power everything from small startups to large enterprises, Pulsar is a testament to what can be achieved through collaboration and open source. Looking back on the journey, I’m beyond proud of what we’ve accomplished, and excited about what’s next. With Pulsar 4.0, #Ursa Engine, UniConn (Universal Connectivity), and even bigger ideas on the horizon, the future is brighter than ever. 🌟 Thank you to everyone who’s been a part of this ride, and here’s to many more years of innovation and community building! 🙌 Check out the latest blog from Matteo Merli and me reflecting on this incredible milestone: https://lnkd.in/gV5W8rQy #ApachePulsar #OpenSource #DataStreaming #Messaging #Queuing #Community #Anniversary #Ursa #UniConn

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Using #ApacheFlink watermarks? Ever been frustrated when your join only happens when both tables have new data? If so, you need to know when to set an idle timeout. Check out this new video from Dan Weston’s Apache #Flink in Action series to see why idle timeout might be the solution you are looking for. Give it a watch today!

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Attending the Databricks Data + AI Summit next week? Want to turbo charge the value of your data at light speed without being impacted by the strenuous process of model training? Find out how by attending this session: https://lnkd.in/ghQ4Ysiu

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Excited to present insights from Jay Kreps, our CEO of Confluent and co-creator of Apache Kafka, on the transformative power of data streaming: - Data streaming is revolutionizing business operations, with 72% of IT leaders already leveraging it for mission-critical systems. - Apache Kafka addresses pivotal challenges in data integration and streaming, providing a scalable platform to break data silos. - Real-time AI applications depend on data streaming for cutting-edge capabilities, impacting bottom lines by optimizing operations and enhancing customer experiences. Stay tuned for more insights! #DataStreaming #ApacheKafka #RealTimeAnalytics #AI #ConfluentLeadership

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Thinking about how to leverage AI? Unsure which LLM is right, and secure enough, for your business use case? If you are looking to drive CRM results, this will certainly help you narrow the LLM field, with more innovation and enhancements to follow! This benchmark measures the performance of LLMs against four key measures: accuracy, cost, speed, and trust and safety

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About twenty years ago, I was a doctoral candidate at Caltech during an “AI winter,” struggling with basic feature engineering. Today at Salesforce, we're developing autonomous systems that can understand, act, and continuously learn—a fundamental shift from where we began. Our vision extends beyond large language models to Large Action Models—AI systems that don't just process language, but take meaningful actions and improve through environmental feedback. These agents have the ability to make day-to-day business decisions for us, and over time will surely help the human-at-the-helm inform the very trajectory of business as we know it.  I recently discussed this evolution with my favorite futurist @Peter Schwartz at Dreamforce, exploring how we got here and where we're headed. From the early days of neural networks to today's transformer architecture, the acceleration of innovation never ceases to amaze me. What once took decades now happens in months. What takes months today will take days in the future.  Read our conversation on the future of autonomous AI and its implications for enterprise transformation here: https://sforce.co/40bwcX3. And thanks for your great facilitation, @Itai Asseo! #AIResearch #HistoryofAI #FutureofAI

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BigQuery + Bigtable, better together. Crunch massive amounts of data in your favorite data warehouse, then access the results seamlessly from Bigtable for real-time serving at scale. For operational dashboarding, in-app reporting and more. #BigQuery #Bigtable #GoogleCloud https://lnkd.in/eCMgXyQn

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Why is CONTINUOUS sales enablement critical to scaling Cloud GTM? Kate K., Sr. Director, Global AWS Alliance at JFrog explained her 360 degree enablement strategy on the Cloud GTM Leader course hosted by Roman Kirsanov Ongoing Seller Enablement is Key: ✔ Cloud marketplaces (MP) could be central to your company's success. They can help sellers close deals faster and meet or exceed quotas. However, cloud GTM is NOT a primary focus for sellers, who concentrate on their accounts and customers.   ✔ Therefore it’s Alliance leaders goal to ensure sellers grasp the benefits and importance of MPs. But how? Here are Kate's 10 Rules of Effective Sales Enablement: 1️⃣ Regular and Continuous Efforts: Understand seller focus areas and keep cloud strategies top-of-mind without overwhelming their inboxes. Help them integrate cloud GTM early in sales cycle 2️⃣ Go Beyond One-off Sessions: Include scheduled enablement calls, join QBRs, and maintain consistent communication. Ongoing sessions and follow-ups are vital to prevent “out of sight, out of mind” issue 3️⃣ Deliver Enablement in Various Formats: Use short on-demand videos, longer recordings, and in-person events to cater to different learning preferences 4️⃣ Create Easy-to-Reference Guides: Create cheat sheets and central source of truth for sellers on key topics, e.g. “how to co-sell” or “GTM via MPs” 5️⃣ Establish Central Communication Channels: Use platforms like Slack to send Cloud GTM updates and facilitate collaboration and marketplace experience sharing among sales teams 6️⃣ Provide Guidance for Co-Selling: Offer support on how to win in co-sell calls, including what questions to ask, how to show up, and what NOT to do 7️⃣ Leverage Customer Stories and References: Use success stories to build credibility with sellers and get them excited. Compelling customer examples can help sellers internalize how MPs can expedite deal closures 8️⃣ Identify and Leverage Successful Sellers as Advocates: Boost credibility by inviting sellers successful in Cloud GTM to share their stories in regular meetings. Developing internal advocates creates powerful peer influence. You can then across different motions or industry focuses can also be effective, ensuring relevance 9️⃣ Conduct Research for Sellers: Gather insights to empower sellers before engaging in conversations with key stakeholders at the cloud provider 1️⃣ 0️⃣ Seek and Act on Feedback: Encourage open communication and actively incorporate feedback from sellers and sales leadership to support them where they need it the most Implementing ongoing sales enablement is essential for scaling Cloud GTM effectively. By integrating regular training, providing accessible resources, and fostering collaboration, you can get sales teams excited and aligned with MPs. This can help them meet quotas, make customers more successful and significantly contribute to company growth. How are you enabling your sales teams to excel in Cloud GTM?

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