Data infrastructure is rapidly growing and evolving along with infrastructure for AI/ML, with the latter growing largely independent from the former. An emerging generation of AI/ML tooling emphasizes data-centric versus model-centric approaches to the ML development lifecycle. These tools recognize that data is the foundation for AI and seek to open opportunities for all data professionals to participate by eliminating the unnecessary complexity of traditional model-centric solutions.

We are delighted to share that Iguazio has been named along with Microsoft, Databricks, Cloudera, Alteryx and others in Now Tech: AI/ML Platforms, Q1 2022, Forrester’s Overview of the Leading AI/ML Platform Providers, by Mike Gualtieri. This report by Forrester Research looks at AI/ML Platform providers, to help technology executives evaluate and select one based on functionality aligned with their needs.

Machine learning is a practice that is evolving and developing every day. Newfound technologies, inventions and methodologies are being introduced to the community on a daily basis. As ML professionals, we can enrich our knowledge and become better at what we do by constantly learning from each other. But with so many resources out there, it might be overwhelming to choose which ones to stay up-to-date on. So where is the best place to start?

Greek philosopher Heraclitus wasn’t talking about the challenge of today’s enterprise IT landscape but the quote certainly fits. From the advent of the first digital computer in the 1940s to the emergence of first public cloud in 2004, the rate of change has only accelerated. In fact, over 60% of corporate data resides in the cloud in 2022, up from 50% last year.