Lightspeed’s Post

As the world needs more and more reliable Data, why is it that still so many Data Projects fail? We can say it's clear, Big Tech companies don't like to share the data they have. As our vision is to build a single platform where all the Data is available in structured form, we strive to make Data available to everyone. According to the latest news 60%-85% of all Data driven Projects already fail before they launch, due to cost and a lack of usable data. If you want to dive deeper into the matter, we have a great article for you: https://lnkd.in/ehCYUgjN #AI #Datastartup #Bigdata #Startup #Datadriven #Datamatters

Observo AI Secures $15M to Solve AI Data Overload Key Points👇 ❶ Observo AI has raised $15 million in a seed funding round to improve AI data security and efficiency. ❷ Felicis and Lightspeed Venture Partners are the lead investors, backing the company's AI-driven data pipeline solutions. ❸ The funding will help enterprises manage AI-generated data more securely, efficiently, and cost-effectively. "Every new AI agent, application, and model generates exponentially more data, and the result is chaos for DevOps and security teams. Observo AI’s platform applies ML and LLM-driven automation to cut through the noise and deliver actionable insights—precisely the kind of innovation needed to secure the AI-powered enterprise." - Jake Storm, General Partner at Felicis. "Observo uses LLMs and Agentic AI to revolutionize observability and security. Our platform automates routine tasks, highlights key insights, and lets teams focus on preventing breaches and ensuring reliability." - Gurjeet A., CEO of Observo AI. "Observo AI’s use of Agentic AI with streaming observability creates a powerful system that constantly learns and improves, making data pipelines efficient and intelligent. This is game-changing technology for enterprises grappling with the data challenges of observability and security infra." - Guru Chahal, Partner at Lightspeed Venture Partners. #FundingNews #Funding https://lnkd.in/eW9Ps3mx

🚀 I got a chance to be amazed by JOHN M. CORRIGAN in action before, so I keep a close eye on anything that he does! Excited to see him involved in the launch of Kurve, an AI-powered developer tool that automates data discovery, feature engineering, and interoperability management, revolutionizing data interaction for developers. Anyone trying to adopt AI, build or improve Machine Learning models should watch what they do. #AI #MachineLearning #Innovation

Observe, Inc. has raised $50M and is integrating generative AI to help enterprises visualize all their data, as highlighted by VentureBeat. We are featured in this insightful article. Generative AI's potential to transform data analysis is immense, providing businesses with deeper insights and more informed decision-making capabilities. Check out the full article by #VentureBeat to learn more✅: https://lnkd.in/dNJmzW7G #DataVisualization #GenerativeAI #EnterpriseTech #FutureMarketInsights

🎉 It’s official! 😎 Vectorize’s #RAG platform is now generally available, giving enterprises the tools to build RAG pipelines and optimize AI performance faster than ever before. With $3.6M in funding and amazing customers like Groq using Vectorize we are excited to see how many more businesses will unlock faster and smarter #AI performance with our platform. Read more on VentureBeat: https://lnkd.in/gi6VHn2e #VentureCapital

Congrats to Athenic AI, who announced a funding round in a story that appeared in TechCrunch. Athenic is building the central nervous system for enterprise data, bringing AI-powered, self-serve analytics to the forefront and making business intelligence more accessible than ever. As our colleague Samantha Huang put it: "Access to business analytics is essential for a well-functioning, data-driven organization. With Athenic AI, users have been able to reduce the time of their workflow from weeks to minutes. The potential for such technology is vast, not only for transforming Analytics and BI software but also paving the way for a new category." We’re proud to back Athenic AI and can’t wait to see how they continue to shape the future of data-driven decision-making. 📖 Read more in Rebecca Szkutak's story 👇 #AI #DataAnalytics #BusinessIntelligence #VentureCapital #Innovation

Today, I’m thrilled to welcome Tolga Çöplü as BlueCloud’s new Head of #GenerativeAI. In this role, Tolga will lead efforts to build #GenAI solutions that deliver tangible impact—cutting through inefficiencies, creating personalized experiences, and driving meaningful growth across industries. This isn’t just about incremental change; it’s about leveraging GenAI to help our clients fundamentally rethink their business models and unlock transformative value. A special thanks to Faik Peker for this excellent introduction, which strengthens our position us to drive AI forward in a way that matters—pushing boundaries and embracing what’s possible. Generative AI is reshaping how industries think, work, and solve problems, creating opportunities to reinvent everything from customer service to complex decision-making. BlueCloud’s approach, powered by Snowflake, is what excites me most—it’s AI that is both scalable and adaptable, capable of transforming entire data ecosystems for better, faster, more accurate insights. I’m excited to see how Tolga and his team will push the boundaries of what AI can achieve in real-time business environments. https://lnkd.in/eUufgwKs

LanceDB (YC W22) has just raised $8M in seed funding to build a new foundation for multimodal AI data. In production, data generation isn't just manual; it occurs at a massive scale, with even small startups quickly encountering billions of embeddings, trillions of tokens, and petabytes of images or videos. AI data, encompassing everything from embeddings to videos, is larger and more complex than traditional data, leading to diverse and challenging workloads. Traditional data formats and systems struggle to keep up, resulting in slow performance, increased complexity, and higher costs. This inefficiency not only wastes valuable time for skilled employees but also delays the time-to-market for AI products. Founded by Chang She and Lei Xu, LanceDB is a developer-friendly, open-source database for AI, empowering teams to easily search over billions of vectors, process petabytes of images, and train on trillions of tokens. Specifically for multimodal AI, LanceDB enables remarkable scalability for semantic search with far less infrastructure. It supports interactive exploration of petabyte-scale AI data and significantly reduces the costs associated with managing complex datasets. By integrating these capabilities into one platform, LanceDB allows AI teams to scale more effectively, train models faster, and streamline the production process. Congrats to the team on the round!

BREAKING NEWS! Revefi Secures $20M to Revolutionize Data Engineering, Improve ROI with AI https://lnkd.in/gB8qBTjM #AI Revefi

𝗛𝗼𝘄 𝘁𝗼 𝗠𝗼𝘃𝗲 𝗚𝗲𝗻𝗔𝗜 𝗳𝗿𝗼𝗺 𝗣𝗢𝗖 𝘁𝗼 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 Accurate, Safe and Governed The transition to generative AI (GenAI) presents both opportunities and challenges for companies. While many are engaged in pilot projects, the leap to production deployment is hindered by concerns around cost, risk and governance. Here are the key considerations and 𝗿𝗲𝗰𝗼𝗺𝗺𝗲𝗻𝗱𝗮𝘁𝗶𝗼𝗻𝘀 for bridging this gap: 𝗔𝗱𝗱𝗿𝗲𝘀𝘀𝗶𝗻𝗴 𝗔𝗰𝗰𝘂𝗿𝗮𝗰𝘆: To ensure accurate results, prioritize quality data input. Off-the-shelf models may lack context, but techniques like Retrieval Augmented Generation (RAG) and fine-tuning can enhance accuracy and relevance. 𝗢𝘃𝗲𝗿𝗰𝗼𝗺𝗶𝗻𝗴 𝗗𝗮𝘁𝗮 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝘀: Data silos and migration complexities hinder AI initiatives. Organizations must consolidate data sources and leverage platforms like Databricks Intelligence Platform for comprehensive data analysis and governance. 𝗘𝗻𝘀𝘂𝗿𝗶𝗻𝗴 𝗦𝗮𝗳𝗲𝘁𝘆: Mitigate risks associated with incorrect AI outputs by selecting platforms that allow monitoring, fine-tuning, and customization of models. Solutions like Databricks AI Playground and Lakehouse Monitoring offer comprehensive oversight. 𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗶𝗻𝗴 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲: With data flowing across the enterprise, robust governance is essential. Utilize tools like Databricks Unity Catalog for seamless data governance and compliance, supported by strategic AI leadership within the organization. In conclusion, while apprehensions exist, the benefits of GenAI deployment are substantial. By embracing accurate, safe, and governed AI systems, enterprises can unlock innovation and drive business growth. #AI #DataScience #GenAI #DataGovernance #DataAnalytics #ArtificialIntelligence #EnterpriseAI #MachineLearning #DataManagement #Databricks #DataEngineering #AI https://lnkd.in/dGdTG-Ms