Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile
Articles by JL Marechaux
Beyond the Hype: When Generative AI Isn’t Always the Answer
Why predictive AI might still be your best bet I work at Google in the Solutions & Thought Leadership team (aka S&TL). Our role is to help large companies adopt AI technologies to boost their performance and innovate. In the past three years, I have been collaborating with different AI teams and decision makers across North America to build and test custom AI models for specific business needs. In 2024, I have noticed a significant change in my interactions with corporate stakeholders.
BigQuery DataFrames: Your Gateway to Scalable Data Analysis and ML in the Cloud
Big data analytics often requires juggling between powerful processing engines and familiar data manipulation tools. But what if you could bridge the gap between scalability and ease of use? Enter BigQuery DataFrames, a Python API that seamlessly blends the familiar pandas DataFrame interface with the power of Google Cloud’s BigQuery data warehouse. The preview of BigQuery DataFrames was released by Google in August 2023, and is natively integrated into BigQuery notebooks.
Why does your Machine Learning Ops feel inadequate?
Every time I design a new microservice, there is a TODO checklist that I check against. An early item in this list is about setting up CI/CD for the new service. I think about what the artifacts are and how they get formed at various stages. I consider how it eventually gets deployed to production and how it gets monitored post-deployment. This situation is not unique to me. Modern software engineering practices implement well-thought CI/CD principles as a norm.
Google Cloud services for MLOps
You can assess your MLOps maturity by considering the level of automation and reproducibility that you have in your AI projects. One approach proposed in this article is to define three levels: MLOps level 0 is a manual process for AI initiatives. MLOps level 1 brings ML pipeline automation. MLOps level 2 supports a full CI/CD pipeline for all ML activities. Now how can you leverage this maturity model in your organization?
Show More
loading
Actions
Is this you?
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.Get in touch with JL
Contact JL, search articles and posts on X, monitor coverage, and track replies from one place.
Learn more about Muck Rack