[External Talk] Towards an Automated R&D Workflow for Edge AI Systems - Dan Malowany
This is a recording of Dan Malowany talking about how SightX uses ClearML as part of the R&D workflow.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Learn how to implement model drift detection with Cloudera's Applied Machine Learning Prototypes
The Cloudera Applied Machine Learning Prototype (AMP) for continuous model monitoring acts as a customizable template for your data science team to quickly build an accurate way to track drift.
Building an Automated ML Pipeline with a Feature Store Using Iguazio & Snowflake
When operationalizing machine and deep learning, a production-first approach is essential for moving from research and development to scalable production pipelines in a much faster and more effective manner. Without the need to refactor code, add glue logic and spend significant efforts on data and ML engineering, more models will make it to production and with less issues like drift.
How To Deploy a HuggingFace Model (Seamlessly)
What if I want to serve a Huggingface model on ClearML? Where do I start? In general, machine learning engineers know by now that a good model serving engine is invaluable when serving models in production. These days, NVIDIA’s Triton inference engine is a popular option to do so, but it is lacking in some respects.
In-depth Introduction to MLRun
Watch this video with Yaron, CTO and Co-Founder of Iguazio as he dives into different features and ways to use Iguazio's open source tool, MLRun.
Get to anomaly detection faster with Cloudera's Applied Machine Learning Prototypes
The Applied Machine Learning Prototype (AMP) for anomaly detection reduces implementation time by providing a reference model that you can build from. Built by Fast Forward Labs, and tested on AMD EYPC™ CPUs with Dell Technologies, this AMP enables data scientists across industries to truly practice predictive maintenance.
10 - Hyperdatasets Data Versioning
This video introduces Hyperdatasets. Hyperdatasets is a data management system that’s designed for unstructured data like text, audio or visual data. It is part of the ClearML paid offering, which means it brings along quite a bit of upgrades over the open source clearml-data.
Multi-party Machine Learning In Snowflake | Overview
Learn how leveraging Snowflake Global Data Clean Rooms, organizations can collaborate in building and deploying machine learning models in a way that is privacy-preserving and gives data owners full governance and auditability of both data and processing.
Iguazio Product Update: Optimize Your ML Workload Costs with AWS EC2 Spot Instances
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 on AWS EC2 Spot compute instances.
Qlik AutoML - The Power of Machine Learning for Analytics Teams
Machine learning is used across industries and user communities for a wide variety of predictive analytics needs – use cases ranging from sales forecasting to churn reduction, customer lifetime value, inventory optimization, capital allocation and more.