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.
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The Rise of Generative AI: A Primer
Report / 17 Feb 2023 / Eden Zoller
This report cuts through the hype to provide a balanced view of generative AI: what the technology stack looks like, what is driving generative AI, the potential applications and the challenges it faces.
Generative AI: Will ChatGPT-powered email head to the contact center?
Analyst Opinion / 14 Feb 2023 / Mila D'Antonio
Microsoft announced the preview of a new generative AI-powered email in Microsoft Viva Sales. Omdia predicts the launch will give rise to ChatGPT-powered email in the contact center.
Generative AI: How ChatGPT signals new productivity potential in the digital workplace
News Analysis / 09 Feb 2023 / Tim Banting
ChatGPT provides a tantalizing glimpse into how generative artificial intelligence (AI) may transform the workplace, but how could this technology specifically improve communication, collaboration, customer engagement and employee support?
DreamerV3 may well be the GPT of reinforcement learning
Analyst Opinion / 02 Feb 2023 / Alexander Harrowell
DreamerV3 is a reinforcement learning model that shows state-of-the-art performance on six diverse tasks—without fine-tuning. It is the first AI to mine a diamond in Minecraft without human feedback.
Generative AI: Will ChatGPT represent the future of customer service?
News Analysis / 26 Jan 2023 / Mila D'Antonio
ChatGPT is a text-based AI tool for use in chatbots and conversational systems. The power of this technology lies in its ability to understand and learn from conversations and deliver humanlike, personalized, and detailed responses.
Escaping the Premier League economy: AI startups’ unit economics may drive them to the edge
Analyst Opinion / 25 Jan 2023 / Alexander Harrowell
AI apps startups resemble football’s Premier League clubs—the money comes in and flows straight out. These startups need to use their focus on unit economics to inform their technology choices. Stability AI is a case in point.
The Analyst Team

Mark Beccue
Follow AnalystPrincipal Analyst, AI
Principal Analyst Mark Beccue is among a select group of pioneering analysts who started focusing on AI market research in 2015. He is recognized as one of the leading advisors and thought leaders in the fields of AI and generative AI market research.
His expertise in AI use cases, applications/software and services, natural language AI, and broader trends surrounding AI market adoption have made him a well-known adviser and sought-after speaker, panel moderator, conference chair, and media resource who can develop and communicate AI market analysis designed for business audiences.
Mark has deep experience in the technology business. Before becoming a tech market research analyst in 2008, Mark worked for 10 years for a global telecom software company in product management, greenhouse innovation, and marketing roles. He earned a Bachelor of Science in Journalism from the University of Florida.

Alexander Harrowell
Follow AnalystPrincipal 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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Natalia Modjeska
Follow AnalystResearch 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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