Underscore VC’s Post

Startups, do your partners and customers have proprietary data you can bring safely into your AI workflows? TetraScience and Patrick Grady are exemplifying why it’s important to focus on the outcome not the technology for AI… #appliedai #futureofai #startup

Remember the "cloud" craze? Many rushed to adopt it, but operational success remained a challenge, and still does to this day for so many. Now, it's all about AI, and it is imperative that you do not let YOUR customers make those same mistakes. To navigate this evolving landscape successfully, a solid foundation is crucial because nobody has the time to spend and the money to rebuild from the ground up. #FLEXIBILITY and #SCALABILITY are key for a future-proof AI strategy! Cloudian can enhance your customers AI operations by seamlessly integrating with tools like PyTorch, TensorFlow, Kafka, Arrow, and many more. Help to elevate and establish their AI workflows with Cloudian's solutions for smoother operations, and to be the cornerstone as your customers look to their trusted advisors for help. Learn more about transforming AI operations with the leader in #s3 #ObjectStorage click here - https://lnkd.in/gEC3ZAJR. #AI #DataLake #HyperscaleStorage #AIWorkflow #Cloudian #MachineLearning #DataScience #Innovation #AIOperations

🤖 RAG approach to Generative AI : Transforming the way AI interacts with data! 🌟 ✨ How It Works: 🔵 Retrieve: Fetch relevant info from a vast corpus. 🔵 Generate: Use this info to create accurate and context-rich responses. 💡 Why It Matters: 🔵 Increased Accuracy: Contextual grounding reduces errors. 🔵 Enhanced Relevance: Tailored responses with up-to-date info. 🔵 Powerful AI: Combines strengths of retrieval and generation for superior results. #AI #MachineLearning #NaturalLanguageProcessing #RAG #TechInnovation #azure #microsoft #langchain #cloud #data #ai #ml

Sigma Computing, the cloud analytics platform with data warehouse writeback, has unveiled powerful new features combining AI advancements, enterprise-grade reporting, and infrastructure enhancements. Key highlights include Ask Sigma, an intuitive natural language query tool offering transparency, guidance, and personalized analysis, and AI Query, enabling teams to apply AI/ML models directly within Sigma’s formula bar. Sigma has also expanded write-back capabilities to Amazon Redshift, streamlining workflows and enhancing collaboration. Josh Hanson, Founding Data Scientist at Clay: "Ask Sigma feels like a partner, helping users identify trends and learn new analysis skills, saving time and empowering self-serve analytics." Rob Woollen, Co-founder & CTO: "AI is transforming data interaction. We're making it accessible, transparent, and impactful." https://lnkd.in/e3ck6Efy #DataAnalytics #AI #CloudComputing #DataScience #SigmaComputing #Innovation Emily Anne Epstein Koji Pereira 🔥Dillon Morrison Alton Wells Orla Clifford Kayleigh Mack Zalak Trivedi Cate Steidle Erica Chase Amitabh Pathy

Just having a cool technology for your Analytics or Generative AI application doesn't mean you're getting the most out of your data. Mastering the effective use of those technologies is the key to becoming a successful data driven organization. 📅 April 24th | 16.15-17.00 BST 🏢 Theatre H, ExCel London Join me and Ismail Makhlouf at Amazon Web Services (AWS) London Summit for a session on "Best Practices for Analytics and Generative AI on AWS" to learn how you can use your Analytics and Generative AI technology wisely in order to become a successful data driven organization. Register today: https://lnkd.in/e-rqdCUu #aws #londonsummit #awsevent #awsfordata #analytics #generativeai

Solving advanced computer vision problems, like classifying cancer cells or identifying manufacturing defects, is now easier with Snowflake and LandingAI. LandingAI’s AI computer vision integration in Snowflake lets you process images and videos at scale within the secure Snowflake Data Cloud. This is a game-changer for manufacturing and life sciences. 📖 Learn more in this blog post written by Yong (David) Park and I: https://lnkd.in/gtmzgr9Z Have questions or want to get started? Reach out to me or the LandingAI team. Let's unlock your unstructured data's potential! #AI #MachineLearning #DataScience #ComputerVision #Snowflake #LandingAI #Innovation #DataCloud #TechSolutions

Snowflake's Cortex AI offers an integrated platform to build Gen AI apps closer to the cloud data warehouse - have evaluated the platform for AI capabilities and built a reference application to experiment with the Gen AI capabilities of the platform with features such as: - Cortex LLM Functions to interface with Arctic and other LLMs - ML Functions for Forecasting, Classification, Anomaly Detection - Document AI, Snowspark, LangChain integration for unstructured data processing and semantic search with embedding functions Read more here for detailed insights: https://lnkd.in/gBWB9avJ #Snowflake #SnowflakeCortex #GenAI #GenerativeAI

⚙️ Machine Learning in Azure Synapse with ONNX ⚙️ In today’s data-driven world, the seamless integration of machine learning models within data pipelines is a game changer. Azure Synapse Analytics, with its integration with Azure Machine Learning, makes it easier than ever to work with scalable ML models. 🌐 💡 One powerful tool in the machine learning ecosystem is ONNX (Open Neural Network Exchange). ONNX provides an open-source format for AI models that allows you to move models between different frameworks, ensuring portability and flexibility. Whether you're working in Azure Synapse, PyTorch, or Scikit-learn, ONNX makes it simple to use models across platforms and even optimize them for better performance in production. Why this combination works: 🔹 Scalability: Synapse allows you to easily scale your machine learning workflows with powerful infrastructure. 🔹 Flexibility: ONNX ensures that models can be moved between different tools, giving you freedom in the choice of technology. 🔹 Efficiency: ONNX helps in optimizing models, which translates into faster inference and lower resource consumption. By using Azure Synapse for model training and ONNX for deployment, organizations can build and deploy more efficient, portable, and scalable machine learning models. Picture credit: Microsoft Learning #MachineLearning #ONNX #AzureSynapse #AI #MLModel #DataEngineering #DataWarehouse #DataIntegration

Databases, analytics, machine learning, & #generativeAI. What's next? 💻🤖🧠 Register now 🎟️ https://go.aws/4es5qh5 Swami Sivasubramanian, VP, Data and AI, AWS, returns to the #AWSreInvent keynote stage in Las Vegas to give you the latest news. Find out how AWS is supporting builders with the latest technologies available & how data is laying the foundation for innovation across industries.

Don't miss out on this session at #GoogleCloudNext! Join us for an exclusive discussion on harnessing the transformative potential of generative AI in the data landscape! Hear from experts at Databricks, MongoDB, Confluent, and Dataiku as we explore how to break down multi-cloud data silos, empowering informed decision-making and unlocking your data's full value with generative AI. Discover strategies for integrating generative AI, addressing challenges, and building a future-proof, innovation-driven data culture. Databricks MongoDB Confluent Dataiku Google Cloud