How Seagate successfully tackled their predictive manufacturing use case with continuous data engineering at scale, keeping costs low and productivity high.
How Seagate successfully tackled their predictive manufacturing use case with continuous data engineering at scale, keeping costs low and productivity high.
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.
Here's how to continuously deploy Hugging Face models into real business environments at scale, along with the required application logic with the help of MLRun.
We've compiled the top sessions at ODSC West 2022 in San Francisco that we're most looking forward to, covering topics like data engineering, Responsible AI, NLP and much more.
Iguazio users can now run their ML workloads on AWS EC2 Spot instances. When running ML functions, you might want to control whether to run on Spot nodes or On-Demand compute instances.When deploying Iguazio MLOps platform on AWS, running a job (e.g. model training) or deploying a serving function users are now able to choose to deploy it...
ODSC Europe 2022 will be an exciting hybrid event, taking place in London and virtually, from June 15-16. With 50 workshops, 150 sessions and thousands of attendees, it is surely the place to learn about AI and ML and meet colleagues and experts from around the globe. Choosing which sessions to attend is not always...