A specially curated selection of recent reports from the AI & Intelligent Automation service area, with a special report by AI viewpoints editor Alexander Harrowell. This edition's theme: our review of AI in 2021.
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2022 Trends to Watch: AI Applications and Platforms
AI software is on a strong growth trajectory through 2022 and thereafter, presenting significant opportunities for vendors and enterprises alike.
Report / 17 Dec 2021 / Cassandra Mooshian
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2022 Trends to Watch: Analytics and Data Management
Omdia outlines and analyzes key trends expected in the analytics and data management space throughout 2022, including the application of AI within analytics, unifying data architectures, the rise of data literacy, and more.
Report / 17 Dec 2021 / Bradley Shimmin
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2022 Trends to Watch: Quantum Computing
The rapid advances in quantum computing have made it a topic of increased interest to enterprise customers with difficult problems to solve.
Report / 20 Dec 2021 / Roy Illsley
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The Analyst Team

Alexander Harrowell
Principal Analyst, Advanced Computing for AI
Alexander covers the market for semiconductors as it relates to AI and machine learning. This includes GPUs, dedicated AI ASICs and ASSPs, FPGAs, and future technologies, as well as companies such as Arm, NVIDIA, Cerebras Systems, Hailo, and Ambarella. He can help you with market forecasting, technology strategy, and positioning.
Starting as a journalist at Mobile Communications International magazine, Alexander has 17 years’ experience. Since joining Omdia in 2016, Alexander has covered technologies for small and medium enterprises, with a focus on mobile and, more recently, 5G for enterprises. He developed the Omdia Enterprise 5G Innovations Tracker to monitor the emerging enterprise 5G and CBRS ecosystem. He was the second employee of start-up consulting firm STL Partners, where he worked on mobile, open source, distributed computing, and the two-sided business model.
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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.
Omdia Recommends
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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