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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

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

Peter Ostrow 2 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

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

Kevin Ogunsua 5 days ago
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 6 days ago
Agentic AI surged to the top of enterprise agendas in 2025. Yet while enthusiasm was sky‑high, many organizations struggled to bridge the gap between vendor vision and the practical progress that business and technology leaders expected.
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Blog

Claude Code Security Causes A SaaS-pocalypse In Cybersecurity

Jeff Pollard 6 days ago
We have seen this pattern before, even if the specifics look different. Think back to the day AWS introduced GuardDuty, when Microsoft folded Defender for Endpoint into its enterprise licensing commitments and launched Microsoft Sentinel, or when Google acquired Mandiant and eventually Wiz. Sure, the launch of fully autonomous AI agents that can ingest entire […]
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Blog

It’s “Grow-Time” For Omnicom Group And Its Customers

Jay Pattisall February 18, 2026
Omnicom enters its first earnings cycle after the IPG acquisition with scale, momentum, and unresolved operational challenges. CMOs should ignore Wall Street’s fixation on quarterly performance and instead evaluate how Omnicom plans to convert its expanded capabilities into customer growth. Despite its new size, the company still faces the same structural barriers constraining the broader […]
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Blog

Will AI Eat Your Revtech Stack?

Anthony McPartlin February 17, 2026
For RevOps leaders, the challenge isn’t predicting which of the narratives on what the future holds is right — it’s avoiding reactive decisions based on incomplete signals.
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