Osmos

Today we're excited to announce that Osmos has partnered with Microsoft to launch the fully autonomous AI Data Wrangler on Microsoft Fabric!??? An insurmountable volume of data sits in siloes, unused and unleveraged for insights and analytics. This game-changing solution lets any team member clean and prepare data effortlessly with AI assistance - no expertise, certifications, or scripting skills required. Just spin up an AI Data Wrangler, point it to a folder of files, and let the AI do the dirty work. The AI Data Wrangler autonomously interprets complex information, merges tables, un-pivots column groups, processes section headers, normalizes field types, and transforms data, all without laborious manual work or unsustainable code. - Any team member can harness the power of agentic AI to autonomously clean even the most unruly data ???? - Save significant time and resources and put the full breadth of your data to work ????? - Centralize more of your previously unusable data in Fabric to drive better decisions. ???? By bringing an AI data practitioner alongside Fabric’s powerful data and analytics capabilities, this partnership enables organizations to save significant time and resources, and put the full breadth of their data to work within the Microsoft Fabric environment. Check out the video in the comments! Learn more at https://lnkd.in/gkTWs-v5 #AI #DataWrangling #MicrosoftFabric #Osmos #DataTransformation #DataPreparation

Gain a unique perspective into Osmos' innovative journey as Kirat Pandya, our Co-Founder and CEO, unveils his vision for the company in our latest blog post. Explore how AI technology is simplifying data ingestion workflows, as Kirat highlights the impact of AI on processing unstructured data sources. Discover the potential of AI in reshaping data management and driving operational efficiency: https://lnkd.in/e8htSgfQ #DataIngestion #Technology #AI

BIG NEWS from Osmos! ?? Check out this new post by our Head of Product, Vijay Sarad, where he talks about his 30+ years of experience and seeing how data moves across organizations. And guess what? We've got some game-changing features: - AI AutoClean - AI ValueMapping These tools are set to revolutionize how we handle data. ?? Curious about how this can transform your work? Read the full post here: https://lnkd.in/eBAyUJgR Prepare to be AMAZED! ??

Are you challenged by complex data ingestion processes? Discover a revolutionary approach to streamlining your data workflows with Artificial Intelligence. In our latest blog post, we dig into how AI is transforming data ingestion, making it more efficient and accurate than ever before. From reducing manual effort to minimizing errors, AI is the game-changer your organization needs. Key Takeaways: - Efficiency: Learn how AI automates the ingestion process, saving valuable time. - Accuracy: Understand how advanced algorithms reduce data errors. - Scalability: Discover scalable solutions tailored for growing data needs. Don’t miss out on this insightful read! Your journey to smarter data handling starts today. #DataIngestion #ArtificialIntelligence #DataManagement #AI #TechInnovation #DataScience #MachineLearning

Are you tired of IT being stuck in the endless loop of data automation tasks? Say goodbye to the Sisyphean struggle and hello to a new era of data empowerment with Osmos! We free up IT from the tedious task of automating every single data source, allowing them to become facilitators who empower every individual in your organization to own and automate their part of the data lifecycle. Let's break the chains of the status quo and unleash the power of data ownership!

Revolutionizing Data Ingestion with Generative AI! Osmos’ Co-Founder and CEO, Kirat Pandya, shares his vision for the company and our gen-AI investments in his latest blog post. Discover how AI is revolutionizing data ingestion processes, as Kirat explores how “AI-powered data ingestion is a game-changer, enabling organizations to streamline the process and drive better business insights.” Dive into the future of data management here:?https://lnkd.in/e8htSgfQ #AI #DataIngestion #Technology #DataManagement

Our Co-Founder and CEO Kirat Pandya, just published a new blog post on the importance of CSVs in data sharing. Despite the rise of APIs, the CSV remains a prevalent tool due to its accessibility and inclusivity. However, CSVs do pose challenges such as: - Sequential reading - Lack of standardization - Limited data types - Lack of self-description These issues can make automation difficult. Nevertheless, their flexibility and simplicity have made CSVs a "desire path" in data exchange, highlighting the need for systems to accommodate actual user behavior. Interested in learning more? Head over to our blog (link in the comments) and check out the post today!

Third party data sources represent potential points of failure that are beyond the control and scope of a data team--typically falling more into the hands of engineering as a product infrastructure problem. Learn about how the first mile of data ingestion is plaguing your organization: https://hubs.la/Q02np7HS0

??Join Us at Google Cloud Next '24 ?? We're thrilled to announce that our CEO, Kirat Pandya, will be taking the stage at the upcoming #GoogleCloudNext '24 event! ??? Date: April 10, 2024 ? Time: 1:00 PM PST ?? Link to event: https://lnkd.in/gU_5h_Cv Kirat Pandya will be part of an elite panel along with Alex S. of Google Cloud, Ugur Arpaci of Codeway, and Omer Hasan of AppLovin discussing the acceleration of AI inference workloads using Google Cloud's cutting-edge TPUs! The panel will dive deep into how these technologies are revolutionizing the AI landscape, and you'll get the chance to hear firsthand about the latest innovations and trends. ? Register now to secure your spot! Whether you're a tech enthusiast, or simply curious about the future of AI, this is a presentation you won't want to miss! #GoogleCloudNext #AI #TPU #GPU

A lot of teams working closest to incoming data ingestion are often Excel experts, but might not speak the same language as their dev counterparts. We've defined 121 must-know data terms to help demystify the data world. Any terms you think we should add? Let us know! https://hubs.la/Q02mT0HH0