ChatGPT, Stable Diffusion, and DALL-E are applications that have unleashed unprecedented interest in the potential of Generative AI. Omdia’s foundational report describes the market landscape for Generative AI in the enterprise.
Generative AI: Market Landscape 2023
Report
03 Mar 2023
Mark Beccue
Andrew Brosnan
Bradley Shimmin
Alexander Harrowell
Natalia Modjeska
Alexander Bourgeois
The Analyst Team
Andrew Brosnan
Principal Analyst, AI Applications in Life Sciences
Andrew is a principal analyst in Omdia’s AI & Intelligent Automation practice, with a vertical focus of AI use cases and AI business impact, primarily in healthcare and financial services.
Based in Oxford, his career of 30 years spans the professional and financial services and life sciences sectors as an IT practitioner, industry analyst, and consultant. Andrew has worked in IT for multinational organizations such as JP Morgan and Merck Pharmaceuticals and as an industry analyst and market researcher for Grant Thornton and Goldman Sachs in corporate finance and investment banking, respectively. As an industry analyst, Andrew has advised enterprises on digital transformation to improve operational efficiency, IT product selection, business case development, best practice, IT strategy, and implementation. Andrew advises tech companies on product strategy and development, competitive intelligence, use cases, corporate development strategy, and go-to-market messaging. Andrew holds a bachelor’s degree in economics from Boston University and an MBA from the University of Warwick.
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.
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.
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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