Cheers to a successful 2025! Here are my predictions for the upcoming year.
Here are our recommendations for data professionals who want to improve and streamline their model deployment process, based on our experience deploying models for large and small organizations across the globe.
We've compiled the top sessions at ODSC East Boston 2023 that we're most looking forward to, covering topics like real-time ML, LLMs, data privacy and more.
We dive into these three tools to better understand their capabilities, and how they fit into the ML lifecycle.
How Seagate successfully tackled their predictive manufacturing use case with continuous data engineering at scale, keeping costs low and productivity high.
8 years ago, when I founded Iguazio together with my co-founders Yaron Haviv, Yaron Segev & Orit Nissan-Messing, I never thought I would be making this announcement on our company blog: McKinsey acquired Iguazio!
ML is a key enabler for financial use cases, especially for risk-related requirements. Yet deploying ML models in enterprises is not always an efficient process: time to delivery is long and access to data is limited. Jiri Steuer from HCI shares his top tips and ideas for achieving MLOps efficiency.
