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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

Unlock Your AI Opportunity At Forrester’s AI Forums

Sharyn Leaver 7 hours ago
Join us in Singapore or Sydney to learn how to turn AI momentum into measurable advantage. Our AI Forums are geared toward technology, security, marketing, and customer experience leaders and teams.
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Blog

Build Meaning Before Machines: Why Semantics, Ontologies, And Knowledge Graphs Matter For Agentic AI

Boris Evelson 2 days ago
Agentic AI is exposing a foundational gap in most enterprise data strategies: Data without meaning is unusable for autonomous systems. Agents don’t just retrieve data — they interpret, decide, and act. Without explicit context, they guess. And when agents guess, they get joins wrong, misinterpret metrics, and act on flawed assumptions. This is why ontologies, […]
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Blog

Red Hat Summit 2026: Can Red Hat Win Its Claim As The Hybrid AI Control Plane?

Naveen Chhabra 2 days ago
At Red Hat Summit 2026, the company outlined its ambition to become the central control layer for hybrid AI environments spanning infrastructure, models, and agents. While the vision is increasingly supported by product direction, enterprises must critically assess how to turn it into practical architectures and measurable outcomes.
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Blog

Miro’s Big Bet: Can A Whiteboard Company Become The AI Decisioning Layer For The Enterprise?

Margo Visitacion 3 days ago
At its Canvas 26 conference, Miro claimed that it’s no longer in the whiteboard business. Instead, it wants to become the collaborative decision-making layer for the agentic enterprise. That’s bold and ambitious repositioning and, potentially, timely. As the cost of intelligence is plummeting, the amount of work organizations can generate is increasing significantly — you […]
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Blog

Redesign B2B2C Digital Strategy For The AI Era

Arielle Trzcinski 6 days ago
AI is compressing consumer discovery, decision-making, and service into fewer, faster, and increasingly invisible moments. Answer engines and AI agents now decide what customers see — or don’t. Long-standing assumptions about how brands (the first “B”), intermediaries (the middle “B”), and customers (the “C”) create value no longer apply. Rather than layer AI onto existing […]
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Blog

If Your Employees Aren’t Ready For AI, Neither Is Your Business

Jobina Gonsalves May 28, 2026
Success with AI rests on having a workforce that’s equipped and excited to use it. Forrester’s recent experience launching an AI learning program offers some valuable lessons.
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