The rise of data science and AI-driven outcomes may change BI and data discovery in the enterprise, encouraging vendors to think about new constituencies, responsibilities, and opportunities far beyond traditional charting and dashboarding.
Data science will drive the evolution of BI and analytics in 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.
Further Reading
Trends to Watch 2021: Advanced Computing for AI
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Report / 16 Nov 2020 / Alexander Harrowell
Major trends for 2021 in semiconductors for AI, HPC, and quantum computing. Covers developments in x86, ARM, ASICs, and FPGAs. Analyzes the impact of new Apple and AMD launches, NVIDIA’s acquisition of ARM, and AMD’s bid for Xilinx.
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