How Data Versioning Turns an “AI-ish” Stack into a Real AI Factory
An AI Factory with data versioning doesn't just run smoother. It fundamentally changes how teams interact with their data. Read more.| Git for Data - lakeFS
Data integration is a vital first step in developing any AI application. This is where data virtualization comes in to help organizations accelerate application development and deployment. By virtualizing data, teams can unlock its full potential by providing real-time AI insights for applications like predictive maintenance, fraud detection, and demand forecasting. Virtualizing data centralizes and […] The post What is Data Virtualization? Benefits, Use Cases & Tools appeared first on Git ...| Git for Data – lakeFS
Open source software has fundamentally reshaped technology—delivering unmatched flexibility, low friction, and rapid innovation. For some teams, it’s a philosophical commitment. For others, it’s the fastest path to building. lakeFS supports both models. For most data teams, the journey starts with open source and evolves over time. lakeFS open source offers a robust foundation for […] The post The Evolving Equation: When Do You Move From Open Source to Enterprise with Data Version Con...| Git for Data – lakeFS
Despite the increasing adoption of Artificial Intelligence (AI) applications, most organizations are bound to see implementation challenges. One of the issues lies in the data itself. A recent survey showed 80% of companies believe their data is suitable for AI, but more than half are actually dealing with challenges like internal data quality and categorization […] The post AI-Ready Data: Characteristics, Challenges & Best Practices appeared first on Git for Data - lakeFS.| Git for Data – lakeFS
An AI Factory with data versioning doesn't just run smoother. It fundamentally changes how teams interact with their data. Read more.| Git for Data - lakeFS
Modern machine learning pipelines involve a mix of tools for experiment tracking, data preparation, model registry, and more. MLflow, DataChain, Neptune, and Quilt are some MLOps tools serving these needs. However, one critical piece underpins them all: data version control. This is where lakeFS comes in. lakeFS is not an experiment tracker or ML platform; […] The post Git-Like Data Versioning Meets MLOps: lakeFS with MLflow, DataChain, Neptune & Quilt appeared first on Git for Data - lak...| Git for Data – lakeFS
Introducing lakeFS Iceberg REST Catalog, enabling seamless version control for both structured and unstructured data at any scale. Read more.| Git for Data - lakeFS
Introducing lakeFS 1.59.0. Whether you're a seasoned lakeFS user or just getting started, the new UI provides a better experience for your data versioning.| Git for Data - lakeFS
Discover what data discovery is, how it works, its benefits, challenges, and best practices to turn raw data into strategic, actionable insights.| Git for Data - lakeFS
Explore 5 defining trends in the annual State of Data and AI Engineering 2025 report. Uncover what changed and what's trending this year.| Git for Data - lakeFS
Discover what an AI factory is, how it works, and how companies use it to turn raw data into scalable, automated, and intelligent business solutions.| Git for Data - lakeFS
