McKinsey Acquires MLOps Platform Iguazio
The goal of the acquisition is to help the company dramatically accelerate and scale its client's AI
What Is MLOps and How Will It Change the Data Center?
MLOps can be used to improve time to market and ensure ML models meet organizational, compliance, and end-user
ODSC West 2022: Ops Focus Emphasizes the Move to Production Systems
ODSC brought renewed attention to the need for operationalized data processes when using advanced analytics, machine learning, or artificial intelligence.
AI Engineering Gives Organizations a Framework to Address Bottlenecks
As AI adoption continues to flourish, we’re now entering the “AI Engineering Era,” which will enable business and IT leaders to work together to deploy …
To Batch or To Stream–That Is the Question of the Day
Claypot AI founder, Chip Huyen, designs machine-learning systems that combine streaming data and batch processing to accommodate multiple data
Amplify Partners’ Sarah Catanzaro on the evolution of MLOps
Amplify Partners' Sarah Catanzaro discusses the evolution of Machine Learning Operations (MLOps), best practices, trends, and more.
Real-time Analytics News for Week Ending June 11
In this week's real-time analytics news: DataRobot enhanced its AI Cloud Platform, Union.ai released its open-source MLOps
Addressing Artificial Intelligence Unknowns to Achieve Success
Organizations recognize that they need a systematic approach to “operationalizing” AI in order to drive AI success.
Introducing CDInsights for Cloud Data Insights
Cloud Data Insights is a community of experts for practitioners and data leaders looking to navigate the changing landscape of working with data in the
Real-time Analytics News for Week Ending June 4
In this week's real-time analytics news: SnapLogic launched the SnapLogic Accelerator for Amazon HealthLake, which helps establish a single platform for all …
