Data, AI, And Analytics Leaders

Drive Growth Through Trusted AI Insights

Delivering AI-powered insights that drive business growth requires a comprehensive strategy that aligns data, technology, and business leaders. To be successful, these leaders must find ways to expand their organizational influence, build trust in their work, and enable the business to make better decisions.

Challenges You Face

Today’s data, AI, and analytics leaders often struggle to drive significant business impact because their role and function may not be clearly defined, limiting their influence across their organization. Forrester can help address these and other significant challenges, including:

  • Overcoming organizational silos to align business units and functions around data and AI.
  • Implementing data governance effectively.
  • Defining career development tracks to retain skilled data, AI, and analytics professionals.
  • Balancing emerging technology and innovation with practical goals and implementation.
  • Clearly defining your role and responsibilities to avoid overlap with other positions.

How Forrester Helps You Drive Business Results

Forrester empowers data, AI, and analytics leaders to build and implement strategies that will scale data and AI efforts and align your organization around a data-driven culture.

Bold Solutions Fit For You

Forrester helps data, AI, and analytics leaders and their teams deliver consistent data strategies that align to business goals while embracing the future of data and AI with clarity and confidence.

Create Business Value From Trusted Data And AI

Forrester Decisions for Data, AI & Analytics helps enterprise data and technology leaders create business value from trusted data, build the foundation to scale AI, and cultivate a data-driven culture with urgency.

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IFS’s Industrial X Unleashed 2025: Opportunities And Risks In Industrial AI

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IFS’s Industrial X Unleashed 2025 event promised a future where industrial AI and robotics redefine operations. While the vision is compelling, the journey to digital workers, predictive maintenance, and autonomous workflows is complex.
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Seven Roles, One Goal: How To Organize For Answer Engine Optimization

Nikhil Lai 4 days ago
AEO demands broader, more intensive collaboration than SEO. Learn how roles should change and where they should intersect in a zero-click world.
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AI Agents Become Economic Actors: Salesforce Rewrites The Rules Of Pricing

Lisa Singer 6 days ago
Salesforce’s shift to flat‑rate, unlimited‑usage pricing for AI agents materially changes competitive dynamics. It also changes the nature of questions for buyers.
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In The AI Era, The Value Of A Research Firm Is Still Largely Human

Sharyn Leaver 7 days ago
The critical thinking, empathy, ingenuity, and courage that analysts bring to client relationships is critical — especially now. That’s why, along with harnessing AI’s potential, we’re doubling down on the unique value our analysts offer.
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Welcome To Jr. High, GenAI

Brian Hopkins December 16, 2025
GenAI has entered its jr. high years — awkward, unpredictable, and forcing enterprises to confront the hard work of growing up. Forrester’s latest research reveals rising trust gaps, shaky ROI, mounting energy and cost pressures, and a workforce caught between anxiety and acceleration. Here’s what leaders need to know now to steer genAI through its messy adolescence and toward measurable value in 2026.
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From Digital Transformation Fatigue To AI Transformation Urgency: Japan’s Second Digital Awakening

Frederic Giron December 16, 2025
What is required to make AI transformation successful for Japanese firms? Find out through real-world examples in this review of the Infosys Enterprise AI World Tour in Tokyo.

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