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What’s happening to Microsoft’s FPGA strategy for AI hardware?

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Data science will drive the evolution of BI and analytics in the enterprise

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AI Viewpoint: Exotic Technologies – HPC, Quantum, and More

Examines topics from recent Omdia reports covering AI and intelligent automation. Explores what is happening in advanced technologies, such as silicon photonics, quantum computing, and hybrid analog processing.

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Omdia Universe: Modern Data Analytics Platform, 2022

Omdia reviews top data warehouses as they evolve into modern data analytics platforms capable of turning data into value for companies looking to survive and thrive amidst market disruptions.

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AI Viewpoint: The Challenge of Implementation

Analyzes how many real-world AI projects fail and why. Identifies causes on a sector and application basis. Identifies which KPIs enterprises use to manage AI projects and how this can affect project failure.

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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 

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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.

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2022 Trends to Watch: Operationalizing AI

Drawing from two key enterprise surveys and a global analysis of AI business metrics, Omdia focuses on four key trends enterprises will need to navigate in their efforts to operationalize AI over the next calendar year.

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2023 Trends to Watch: Operationalizing AI

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Omdia Research Schedule – 2022

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Omdia Universe: Modern Data Analytics Platform, 2022

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AI Viewpoint: The Challenge of Implementation

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AI Viewpoint: 2021 in Review

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The Analyst Team
Alexander Harrowell

Principal Analyst, Advanced Computing for AI

Alexander Harrowell
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