With AI becoming infused into every application, cloud and enterprise data centers are being reshaped in the image of AI, with the increasing adoption of hardware specifically designed to handle the demands of this type of processing.
Artificial Intelligence in Cloud and Enterprise Data Center Hardware – 2022 Analysis
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The Analyst Team
Natalia Modjeska
Research Director, AI and Intelligent Automation
Natalia Modjeska leads the AI & IA research team at Omdia. She has 15+ years of experience in developing and deploying analytics and AI. Her diverse career includes R&D, product and program management, sales, consulting, and client advisory. She has worked with organizations of all sizes and levels of maturity across many industries and geographies helping clients to harness the power of data, advanced analytics and AI for transformative change. She has advised 200+ organizations around the globe on topics ranging from AI strategy and use cases, to execution, best practices, governance, ethics, emerging trends, and vendor due diligence.
Natalia is passionate about helping clients to demystify AI/ML and to deploy these technologies responsibly. As part of that effort, she serves as an expert on the ISO/IEC JTC 1/SC 42 - AI Standards working group and she volunteers with several non-profits to develop responsible AI certification; increase AI literacy and improve government through innovative technologies. Natalia holds a PhD in AI (NLP) from the University of Edinburgh in Scotland and an Executive MBA from the Ivey School of Business (Western University).
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