Mike Gualtieri

VP, Principal Analyst

Mike's research focuses on AI technologies, platforms, and practices that enable technology professionals to deliver applications that lead to prescient digital experiences and breakthrough operational efficiency. His key technology coverage areas are AI and emerging technologies that make software faster, smarter, and transformative for global enterprises and organizations. He advises business and technology leaders around the world on the intersection of business strategy, AI, and digital transformation.

Mike has authored more than 130 research reports and is a recipient of the Forrester Courage Award for making bold calls that inspire Forrester clients to make great business and technology decisions.

He is a frequent and highly sought-after speaker at industry, corporate, and technology events for his audience-designed, insightful, and energetic speeches.

Mike provides technology vendors with actionable advisory sessions on technology buying trends, strategy advice, messaging, product roadmaps, and buyer personas for the areas he directly covers. He also offers “what-if” investment advisory for clients who wish to invest in or launch new products in the markets he covers.

The Forrester Wave™: Streaming Analytics, Q2 2021
June 7th, 2021 14 min read

In our 22-criterion evaluation of streaming analytics providers, we identified the 14 most significant ones — Amazon Web Services, Cloudera, Confluent, EsperTech, Google, Hazelcast, IBM, Impetus, KX, Microsoft, Oracle, SAS, TIBCO Software, and Ververica (

Now Tech: Cognitive Search, Q2 2021
April 7th, 2021 4 min read

You can use cognitive search technology that harnesses AI to find information in large corpora of data, help shoppers find products they didn't even know they wanted to buy, and empower employees with enterprise knowledge. But to realize these benefits, y

Now Tech: Streaming Data Platforms, Q2 2021
April 7th, 2021 5 min read

You can use streaming data platforms to create a faster digital enterprise. Streaming data platforms achieve this by instantly delivering data from one-to-many applications, analyzing data in real time, and processing data continuously. But to realize the

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