The Analyst Team
Senior Analyst, RPA & Intelligent Automation
With coverage areas including robotic process automation (RPA), intelligent automation, and AI, Cassandra produces thought-provoking research for vendor, service provider, and enterprise clients. Although she roots her analysis in data, Cassandra provides value-added insight to translate the data into what it means for these clients.
Cassandra joined Omdia (formerly Ovum) in 2019, having spent the 10 years prior in technology and market research at Technology Business Research, Inc. (TBR). At TBR, Cassandra covered topics including the all-encompassing cloud, professional services, hybrid IT, and enterprise software. She led end-user research and spearheaded many reports, benchmarks, and market forecasts.
Principal Market Forecaster
Neil Dunay is Principal Market Forecaster, forecasting on enterprise technology, particularly for AI and other emerging technologies. His focus is on leveraging statistical tools to discover interrelationships among technological, economic, demographic, and sales trends that drive market evolution.
Neil joined Omdia in March 2020, following more than 20 years of experience researching ICT markets. Before joining Omdia, he was an engagement manager at International Planning and Research in Waltham, Massachusetts, where he assisted leading global technology companies in their strategic planning decisions by estimating their technology product market positions and forecasting market opportunities. Before IPR, Neil was a telecommunications industry analyst for KMI/PennWell in Newport and Providence, Rhode Island, where he estimated and forecast markets for fiber-optic cable and optoelectronic equipment for telecom clients. Neil holds a Master of Arts in international economics from The Johns Hopkins School of Advanced International Studies in Washington, D.C.
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.
This Presentation is included in:
AI Market Maturity
Report / 18 Jun 2020 / Mark Beccue
By any stretch of the imagination, it is still early days for artificial intelligence (AI). That said, pioneering AI solutions providers and end-user companies have moved from proofs-of-concept to live deployments of AI solutions over the past few years. This Omdia survey examines the maturation of the market, with views of the AI structure and strategies of end-user and vendor companies. The survey results suggest companies that have been AI pioneers fit the classic profile of early adopters. They are willing to risk money, time, and resources with the hope that potential returns will give them competitive advantages over companies that wait for a more developed market. While some industry sectors have more mature AI ecosystems than others, in a broad sense, the AI ecosystem reflects a market that is still in the early stages. This Omdia survey provides the results of an online survey of 365 enterprises. The survey was sent to contact databases from Omdia, AI Summit, and AI Business. Surveyed companies across different vertical industries ranged in size from small startups with less than 100 employees to global companies with 10,000+ employees. Respondents were categorized as companies that were end users of AI solutions and capabilities and vendors that market AI solutions and capabilities. The survey treated the location of the respondent as the source country. Respondents had a broad range of job functions and titles, and the companies were using or exploring AI capabilities/services. See also AI Market Maturity: Enterprise Survey Pivot Data
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