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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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From Chaos To Clarity: How B2B Marketing Leaders Can Organize AI Responsibilities For Business Impact

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In the rush to adopt AI, many marketing leaders assign resources on the fly, without a formal structure or accountability. This “just in time” approach may feel agile — but it creates silos, duplicates effort, and introduces governance risks.
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Sudha Maheshwari 5 days ago
In 2026, AI will trade its tiara for a hard hat as enterprises prioritize AI function over flair. This year’s AI predictions emphasize the importance of investing in areas such as training and governance while evaluating the ROI of AI more closely.
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Unstructured Data: Your Rocket Fuel For GenAI

Brendan Witcher 6 days ago
Most B2C leaders are captivated by developing the newest generative AI tools or agentic solutions. But since AI models are only as good as the data they learn from, the real differentiator lies in the inputs — specifically, unstructured data. GenAI thrives on the messy stuff — images, video, speech, behavioral signals — and it’s […]
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Discover More Insights For Data, AI, And Analytics Leaders

Upcoming Events For Data, AI, And Analytics Leaders 

Technology & Innovation Summit North America

Austin & Digital

Technology & Innovation Summit APAC

Sydney

Technology & Innovation Summit EMEA

London & Digital

Meet Our Technology Analysts 

Noel Yuhanna

VP, Principal Analyst

Aaron Katz

VP, Research Director

Mike Gualtieri

VP, Principal Analyst

Sudha Maheshwari

VP, Research Director

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