Companies must quickly, easily, reliably, and securely process, merge, transform, and transact with data to derive value and insights at the speed of business.

Organizations must improve data management efficiency to effectively leverage their data.

According to our research, two-thirds of organizations are turning to automation to gain efficiency: The second-most researched automation-related topic among IT buyers whose purchase research we observe is Business Intelligence and Analytics. Our Data Analytics & AI analysts and demand-side research help tech vendors succeed in this rapidly evolving market by covering essential topics that include:

  • Analytics
  • Artificial intelligence hardware
  • BI & data visualization
  • Data platforms
  • Data science & machine learning platforms
  • Databases, warehouses, lakes & platforms
  • DataOps & MLOps
  • Generative AI
  • Speech, NLP & computer vision

Research Report

Navigating the Generative AI Partner and Alliance Landscape

Understanding and applying generative AI (GenAI) requires a deep technical knowledge base, and many organizations struggle to stay abreast of the ever-evolving landscape. Which model is best for our use case? How can we incorporate our own data? How can we get started with responsible AI? Moreover, implementing and scaling GenAI solutions demands substantial computational […]

Read More

Analysts Covering Data Analytics & Artificial Intelligence

Mark Beccue

Principal Analyst, Artificial Intelligence

Areas of Expertise

  • AI Development Platforms & Tools
  • AI Lifecycle Management
  • AI Risk Management
  • Foundation Models/LLMs
  • Legacy and Generative AI
  • Natural Language AI

Read more

Mike Leone

Practice Director, Data Management, Analytics & AI

Areas of Expertise

  • Analytics
  • Artificial Intelligence (AI)
  • BI & Data Visualization
  • Data Platforms
  • Data Science/Machine Learning
  • Data/AI Lifecycle

Read more