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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.

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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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Blog

Anthropic Doubles Down On Agentic For The Enterprise

Brent Ellis 8 hours ago
Anthropic made waves last week for several reasons. It made a deeper push into enterprise-specific agent capabilities, relaxed some of its more cautious safeguards to stay competitive, and refused to back down on two redlines on AI use: mass surveillance and fully autonomous weapons. Anthropic’s firm stance on these two redlines in particular has put […]
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Blog

Unlock The Zero‑Click Buyer Data Hiding In Your Bot Traffic

John Buten 1 day ago
Business buyers are researching you long before they ever click on your site — and increasingly, they’re not clicking at all. Zero‑click behavior is surging, with buyers relying on answer engines and genAI tools as their first stop for gathering information, comparing vendors, and evaluating solutions. Marketers are stuck guessing how they influence buyers through […]
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Blog

How To Shape AI At B2B Summit: From Ideas To Execution

Peter Ostrow 4 days ago
With The Fray joining as a featured performer, this year’s B2B Summit inspired a creative reimagining of “How to Save a Life” through a Forrester lens. This post reflects the real conversations B2B leaders are having right now: how teams align, how leaders decide what to change, and how AI is shaped into something useful, human, and measurable.
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Blog

The Copilot Reality Check: What Enterprise Adoption Data Reveals About The AI Boom

Biswajeet Mahapatra 4 days ago
While hyperscalers build data centers and GPU makers struggle to meet demand, a different story is unfolding in enterprise IT organizations. Conversations with CIOs and CDOs reveal key patterns behind adoption — and why most organizations remain in pilot mode.
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Blog

Strategically Building The Future Of AI With Value: Meet Kevin A. Ogunsua, Principal Analyst For AI Strategy And Value

Kevin Ogunsua February 24, 2026
Some people see big rocks as obstacles. I move them, work around them, or build on them. I grew up on a university campus where curiosity wasn’t just encouraged but was ambient. My father was a professor. My mother was both a teacher and a tailor. At home, ideas were debated, patterns were studied, and […]
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Blog

Agentic AI Is On The Cusp Of Transforming Financial Services

Rowan Curran February 24, 2026
Many organizations have struggled to bridge the gap between vision on agentic AI and practical progress. Recent examples from the financial services industry — often mischaracterized as slow to adopt agentic— are defying the trend.
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