Businesses are chatting with AI itself, using tools like AutoML to build better solutions. Omdia investigates this important trend, digging into a modern example from AWS for practical insight into what AutoML can do for the enterprise.
The Analyst Team

Bradley Shimmin
Chief Analyst, AI & Data Analytics
Brad has more than 25 years of experience in IT technology, analyzing data and information architectures. He is skilled in competitive market intelligence, technology selection, business development, and quantitative research. He also has experience as an IT professional, business analyst, book author/editor, and high-tech journalist/editor.
Brad helps enterprises and high-tech companies work effectively across several market areas, including enterprise data and analytics, artificial intelligence, digital transformation, and DevOps. His expertise also covers market evaluation and go-to-market messaging, and he has a background in software development and database administration.
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Improving AI Outcomes with AutoML – 2021
Omdia analyzes the emergence of AutoML, discusses how this important technology is being used in the enterprise, dives into the AutoML vendor ecosystem, and discusses how AutoML will mature going forward.
Report / 28 Sep 2021 / Bradley Shimmin
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The Evolution of ML Frameworks Report - 2022
Beating at the heart of any bespoke AI project lies one or more machine learning (ML) frameworks, including Scikit-learn, PyTorch, and TensorFlow. Yet, they are often overlooked when it comes to IT management concerns.
Report / 22 Jul 2022 / Bradley Shimmin
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Omdia Universe: Selecting an Enterprise MLOps Platform, 2021
This report analyzes ten enterprise MLOps platform solutions: AWS, cnvrg.io, Databricks, Dataiku, DataRobot, Google, IBM, Iguazio, Microsoft, and SAS. Vendors are profiled on market presence, solution capability, and customer experience.
Vendor Assessment / 19 Apr 2021 / Bradley Shimmin
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These are Omdia driven recommendations based on content that is both similar, and has been frequently visited by other users in combination with the content you are currently viewing.
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