ClearML-Data
This video covers clearml-data tool, which is meant to help you version control, share and manage your different datasets. It integrates seamlessly in the existing clearml ecosystem, so a lot of terms will feel familiar!
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Build an AI App in Under 20 Minutes
Machine learning is more accessible than ever, with datasets available online and Jupyter notebooks providing an easy way to explore and train models. In building a model, we often forget that it will be incorporated into an application that will provide value to the user. Therefore, we wanted to demonstrate how we can "use" the models we build in an application.
[MLOPS] From experiment management to model serving and back. A complete usecase, step-by-step!
The recording of our talk at the MLOps World summit. This talk covers a complete example, starting from experiment management and data versioning, building up into a pipeline and finally deploying using ClearML serving with drift monitoring. We then induce artifical drift to trigger the monitoring alerts and go back down the chain to quickly retrain a model and deploy it using canary deployment.
How SightX Uses ClearML to Build AI Drone Models
With the rise of drone usage, it’s easier to take aerial footage than ever before. The resulting data can trigger quick, effective action; removing guesswork and increasing aerial awareness, which can have profound implications on growing profits and trimming expenses. And as drone use rises, so does the usage of AI, to navigate, detect, identify, and track meaningful artifacts and objects.
[TALK] Model Serving Monitoring and Traceability: The Bigger Picture
The recording of our talk at the AI infrastructure alliance micro summit. This talk covers ClearML serving including monitoring and focuses on the importance of being able to trace the deployed model all the way back to the original experiment, code and data that were used to train it! One of the mayor advantages of a single tool end-to-end MLOps workflow.
Model Serving Monitoring and Traceability - The Bigger Picture - The AIIA Summit 2022
Watch our great evangelist Victor Sonck in the AIIA summit! How can you go in the bigger picture of model observability? Well, the short answer is complete traceability. And what does that mean? Find out for yourself in Victor's short and insightful talk. ClearML is an open source ML / DL experiment manager, versioning and ML-Ops full system solution.
Rossum: Speeding up document processing by 90% with the power of AI
In a world that is growing progressively digital, hours of human talents are wasted on reading and organizing receipts, scanning through printed contracts for the relevant clauses, and cataloging documents. Traditional OCR solutions that automate document processing are slow, expensive, and error-prone.
Building a Modern Data Team: From Analytics to AI
The modern data stack continues to attract companies who are looking for a quick onramp into the world of cloud-based analytics and/or actively modernizing their legacy data stacks. We've enumerated the benefits of the modern data stack in previous articles.
Introducing Databricks Support: Operational AI for the Lakehouse
On the heels of announcing our $14.5M Series A and General Availability, we’re excited to be at the Data + AI Summit to unveil support for Continual on the Databricks Lakehouse. Increasingly, data and ML tool providers are embracing a data-centric approach to the ML workflow. The goal is to focus on what increasing drives ML – the data – compared to infrastructure, algorithms, or pipelines. At Continual we bet on data-centric AI from day one.
Dataiku 11 Unveils Enhanced Toolset to Scale AI
New release provides advanced capabilities for experts and automation for business users to help embrace Everyday AI.