Point of View

2022 Trends Report: Data, Machine Learning, and AI

By Ben Lorica, Mikio Braun, and Jenn Webb. In this short report, we list key trends in big data, machine learning, and AI, with a bias toward items that will impact companies and organizations across all sectors over the next 12-18 months. Tools to help companies put Data and AI to work are definitely gettingContinue reading “2022 Trends Report: Data, Machine Learning, and AI”

What is Graph Intelligence?

How and why the best companies are adopting Graph Visual Analytics, Graph AI, and Graph Neural Networks. By Leo Meyerovich and Ben Lorica. [A version of this post originally appeared on the Graphistry blog.] In this post, we highlight the current state of Graph Intelligence, a new technology category around new tools and techniques forContinue reading “What is Graph Intelligence?”

Data Remains the Key Challenge In Computer Vision Projects

Datagen recently surveyed about 300 professionals in computer vision about the value of data. The survey comes at a time of renewed focus on the importance of tools for helping ML teams address data related challenges. Data-centric AI represents a recent shift among researchers, away from focusing on models and toward the underlying data used inContinue reading “Data Remains the Key Challenge In Computer Vision Projects”

One Simple Graphic: Interest in MLOps is surging

The overall job market in the U.S. has recovered from the depths of the pandemic. In the area of “machine learning”, demand for MLOps talent appears to be growing rapidly. This could be an early indicator that machine learning and AI initiatives are beginning to graduate from R&D projects and prototypes, into production systems: RelatedContinue reading “One Simple Graphic: Interest in MLOps is surging”

One Simple Chart: Data Engineering areas of focus

Related Content: FREE Report: Data Engineering Survey Results One Simple Chart: Data Engineering jobs in the U.S. One Simple Graphic: Interest in MLOps is surging Subscribe to our Newsletter:

What’s new in the Ray Distributed Library Ecosystem

By Ben Lorica and Ion Stoica. [This post appeared originally on the Anyscale blog.] The Ray community of users, contributors, libraries, and production use cases have grown substantially since we first described the Ray ecosystem over a year ago. The majority of Ray users continue to come from libraries and third-party integrations. They include developers who useContinue reading “What’s new in the Ray Distributed Library Ecosystem”

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