Database of AI case studies from AI vendors and end users documenting metrics and KPIs for measuring AI business impact. Examines which metrics are most important to AI customers and how metrics vary by industry and application.
AI Business Performance Metrics Database – 1H23
This is the most recent version of this Data.
Show Previous Versions
The Analyst Team
Neil Dunay
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.
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).
You must sign in to use this functionality
Authentication.SignIn.HeadSignInHeader
These are Omdia driven recommendations based on content that is both similar, and has been frequently visited by other users in combination with the content you are currently viewing.
Omdia Recommends
These are Omdia driven recommendations based on content that is both similar, and has been frequently visited by other users in combination with the content you are currently viewing.
Thank you
Our expert analysts will review your question and the Ask an Analyst team will get back to you. We aim to respond within 24 hours, but we’re often quicker.
Ask an Analyst
Our team of experts are here to answer your questions. From advice on market trends to a query on research point, and everything in between, we want to hear from you.
Ask an analyst is available as part of a subscription. If you'd like access, contact us today.