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Iguazio

ODSC East 2023 MLOps Keynote: MLOps in the Era of Generative AI

May 22, 2023 By Iguazio In Iguazio
ChatGPT sparks the imagination and highlights the importance of Generative AI and foundation models as the basis for modern AI applications. However, this also brings a new set of AI operationalization challenges. Challenges like handling massive amounts of data, large scale computation and memory, complex pipelines, transfer learning, extensive testing, monitoring, and so on. In this talk, we explore the new technologies and share MLOps orchestration best practices that will enable you to automate the continuous integration and deployment (CI/CD) of foundation models and transformers, along with the application logic, in production.
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Integrating MLOps with MLRun and Databricks

May 15, 2023 By Xingsheng Qian In Iguazio
Every organization aiming to bring AI to the center of their business and processes strives to shorten machine learning development cycles. Even data science teams with robust MLOps practices struggle with an ecosystem that is in a constant state of change and infrastructure that is itself evolving. Of course, no single MLOps stack works for every use case or team, and the scope of individual tools and platforms vary greatly.
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Deploying Machine Learning Models for Real-Time Predictions Checklist

Apr 27, 2023 By Alexandra Quinn In Iguazio
Deploying trained models takes models from the lab to live environments and ensures they meet business requirements and drive value. Model deployment can bring great value to organizations, but it is not a simple process, as it involves many phases, stakeholders and different technologies. In this article, we provide recommendations for data professionals who want to improve and streamline their model deployment process.
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Kubeflow Vs. MLflow Vs. MLRun: Which One is Right for You?

Mar 28, 2023 By Alexandra Quinn In Iguazio
The open source ML tooling ecosystem has become vast in the last few years, with many tools both overlapping in their capabilities as well as complimenting each other nicely. In part because AI/ML is a still-immature practice, the messaging around what all these tools can accomplish can be quite vague. In this article, we’ll dive into three tools to better understand their capabilities, and how they fit into the ML lifecycle.
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How Seagate Runs Advanced Manufacturing at Scale With Iguazio

Feb 15, 2023 By Alexandra Quinn In Iguazio
Seagate is the world’s leading data storage solution. Together with Iguazio, Seagate is able to manage data engineering at scale while harnessing petabytes of data, efficiently utilize resources, bridge the gap between data engineering and data science and create one production-ready environment with enterprise capabilities. In this new webinar, Vamsi Paladugu, Sr.
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McKinsey Acquires Iguazio: Our Startup's Journey

Jan 23, 2023 By Asaf Somekh In Iguazio
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! When we first embarked on this journey, we realized that while AI has the ability to transform any industry - from banking to retail to manufacturing - in reality most data science projects fail.
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Distributed Feature Store Ingestion with Iguazio, Snowflake, and Spark

Dec 21, 2022 By Nick Schenone and Xingsheng Qian and Brennan Smith In Iguazio
Enterprises who are actively increasing their AI maturity in a bid to achieve business transformations often find that with increased maturity comes increased complexity. For use cases that require very large datasets, the tech stacks required to meet business needs quickly become unwieldy.
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Looking into 2023: Predictions for a New Year in MLOps

Dec 14, 2022 By Yaron Haviv In Iguazio
In 2022, AI and ML came into the mainstream consciousness, with generative AI applications like Dall-E and GPT AI becoming massively popular among the general public, and ethical questions of AI usage stirring up impassioned public debate. No longer a side project for forward-thinking businesses or CEOs that find it intriguing, AI and ML are now moving towards the center of the business.
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