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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

Geopolitical Volatility Has Become A Technology Leadership Test

Stephanie Balaouras 7 hours ago
Geopolitical volatility is testing and redefining technology leadership, demanding sharper trade-offs, stronger resilience, and faster decisions from CIOs and CISOs. Read guidance from our new research to help navigate these challenges.
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Blog

Your Employees Aren’t Ready For AI — And It’s A Problem

J.P. Gownder 1 day ago
Forrester’s AIQ Reveals Severe Gaps In Employee Readiness For AI Employers aren’t successfully equipping their employees with the understanding, skills, and ethics to succeed in a world of AI. And it’s becoming a bottleneck that inhibits productivity and return on investment. We measure this with AIQ, Forrester’s artificial intelligence quotient, and we’ve got alarming new […]
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Blog

When Things Go Wrong With A Commerce Task, Many Consumers Will Blame The Answer Engine

Emily Pfeiffer 5 days ago
We asked consumers in the US, the UK, and Canada who they would hold responsible for issues when they use an answer engine to complete commerce-related tasks. Consumers might take personal responsibility for some issues (such as feeling that their prompts hadn’t been targeted enough) or might even hold the brand they ordered from responsible. […]
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Blog

Intelligent Finance: From Digital Experiences To AI‑Orchestrated Financial Outcomes

Aurelie L'Hostis 5 days ago
Explore Forrester’s intelligent finance research and learn how financial services leaders can deliver AI‑orchestrated financial outcomes.
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Blog

The Private AI Model Explosion

George Colony 5 days ago
In five years, 70% of the revenue created by AI will be in private models, not public ones. Why? In a word, trust.
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Blog

The Future Is Now: Agentic AI Redefines Responsible AI

Enza Iannopollo 6 days ago
A month ago, I launched new research on responsible AI (RAI) solutions. Forrester defines RAI solutions as software ensuring that organizations’ AI models and systems are explainable, accountable, and trustworthy. In that research, I redefined RAI in three critical components of explainability, accountability, and trustworthiness. Some technology vendors declined to participate, stating that responsible AI is […]
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