IBM continues to build more functionality into its end-to-end data and AI platform, IBM Cloud Pak for Data. With version 3.5, IBM hopes to improve accuracy of machine learning models through training data across multiple clouds, all without compromising data privacy or security.
The Analyst Team
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.
This Analyst Opinion is included in:
2020 Trends to Watch: Analytics and Data Management
Report / 26 Feb 2020 / Bradley Shimmin
Unlike many technology areas of IT, the ongoing challenge for analytics and data management practitioners in the enterprise today isn’t about doing more with less. Just the opposite. It is about doing more with excess.
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