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 Brief

Data Complexity Inhibits Large Midmarket Organizations Along Their AI Journey

Although teams across industries are eager to unlock the potential of AI within their businesses and operations, they regularly run into roadblocks in integration complexity, data source utilization, and data quality and trust. Recent research by Enterprise Strategy Group, now part of Omdia, revealed that some of these issues might be correlated to organizational size […]

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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

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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

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