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Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
June 2021
Build/Buy in MLOPs for R&D Does "off-the-shelf" exist yet?
What kind of tools and infrastructure does a company need in order to build, train, validate and maintain data-based models as part of products? The straight answer is - “it depends.” The longer one is: “MLOps.” It is far too early to determine the “best” patterns and workflows for Data-Science, Machine- and Deep-Learning products. Yet, there are numerous examples of successful deployments from businesses both big and small.
Deconstructing MLOps (ODSC East '21 Keynote)
Whether you are a veteran Data Science practitioner, a novice ML engineer, or a hard-working DevOps ninja, you probably heard about MLOps. But what are MLOPs? And do they only relate to applied machine learning in production?
Comprehending ClearML and MLOps - Enabling the New A-Z (ODSC East '21)
ClearML is an industry leading MLOps suite, fully open source and free in the best sense. Designed to ease the start, running and management of experiments and orchestration for every day practitioners, we will also see how it provides a clear path to deployment. Starting with a high level overview of the parts built into ClearML, we will then journey into what is and also, importantly, what is not part of ClearML's mandate. Along the way we will demonstrate how-to integrate into your PyTorch code, as well as the capabilities of reporting and possible workflows that could be made easier by pipeline usage.
[MLOps] The Clear SHOW - S02E10 - Everything You Wanted To Know About Model Stores*
Ariel (ft. G. Raffa) discusses the reasoning behind model stores, why you might want to build one, and reviews a model store library vs. ClearML to understand what needs to be built "on top" of our open-source MLOps Engine. + Operator AI ClearML is the only open-source tool to manage all your MLOps in a unified and robust platform providing collaborative experiment management, powerful orchestration, easy-to-build data stores, and one-click model deployment.
Accelerating AI-based search in the cloud with ThoughtSpot for Snowpark
We’re all familiar with how Google Search revolutionized information processing for consumers. The ingenious combination of AI with a new way to organize content on the web created a user-friendly experience that forever changed how the world finds relevant information on the internet.
Interview with AI Ethicist, Alice Thwaite
For our latest expert interview on our blog, we’ve welcomed Alice Thwaite to share her thoughts on the topic of artificial intelligence (AI) as well as the reasons behind founding technology ethics company Hattusia. Alice Thwaite is an AI ethics philosopher and ethicist who specialises in creating democratic information environments.
[MLOPS] The Clear SHOW - S02E09 - All your "stores" are belong to us!
G. Raffa describes our new arc: We are going to build a "model store" using the open-source MLOps engine! Tell us what you think of his plan in the comments below! ClearML is the only open source tool to manage all your MLOps in a unified and robust platform providing collaborative experiment management, powerful orchestration, easy-to-build data stores, and one-click model deployment. ClearML is the foundation of your data science team. Don’t see the functionality you need? Build on top of it in a snap.
Jeeves Grows Up: An AI Chatbot for Performance and Quality
In this session from Data+AI Summit 2021 (formerly Spark+AI Summit) Shivnath Babu, CTO/Adjunct Professor, Unravel Data Systems/Duke University presents, "Jeeves Grows Up: An AI Chatbot for Performance and Quality."
The Clear SHOW - S02E08 - DataOps pt. III (Pipe it up!)
Finally! We write a reusable pipeline to wrap it all together into an automated workflow for R&D! Watch T.Guerre to find out how! First time hearing about us? Go to - clear.ml! ClearML: One open-source suite of tools that automates preparing, executing, and analyzing machine learning experiments. Bring enterprise-grade data science tools to any ML project
10 AI-Powered Mobile Apps That Are Changing the World of Digital Marketing
Artificial intelligence is here to make user experiences easy.
Introducing Continual - the missing AI layer for the modern data stack
I’m extremely excited to introduce Continual. Continual is the easiest way to maintain predictions – from customer churn to inventory forecasts – directly in your cloud data warehouse. It’s built for modern data teams that want to leverage machine learning to drive revenue, streamline operations, and power innovative products and services without complex engineering.