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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

Autonomous Malware Is No Longer Theoretical: AI Worm Proof Of Concept Created In A Lab

Jitin Shabadu 6 hours ago
On June 2, 2026, security researchers published a paper about the creation of an AI work. The headline is as subtle as a fire alarm: This lab experiment of a worm is no longer just code that blindly crawls across your environment; it leverages AI models and can now reason, execute, and learn in complete […]
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Blog

Highlights From UserTesting’s Crafted 2026: Build Fast, Build Right

Senem Guler Biyikli 8 hours ago
On May 28, we joined the research community at UserTesting’s Crafted event in Seattle. The energy was palpable, with passionate researchers and designers eager to evolve their craft responsibly and effectively in the age of AI. A clear takeaway of the event was that building fast doesn’t matter if you’re not building the right thing. As AI makes creation easier, decisions […]
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Blog

Agentic Software Development Takes The Lead: From Code Assistants To Orchestrated SDLC Agents

Diego Lo Giudice 9 hours ago
So far in 2026, software development has already crossed a clear threshold. GenAI is no longer just helping developers to write code faster; it is reshaping how software is planned, built, tested, and delivered. Forrester’s recent report on The State Of Agentic Software Development, 2026 shows that TuringBots are now becoming agentic, not just AI […]
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Blog

What AI Really Means For Design (No, You Shouldn’t Fire Your Designers)

Gina Bhawalkar 12 hours ago
Learn how AI is transforming — not replacing — human-centered design, accelerating workflows, and helping teams deliver better customer experiences.
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Blog

Unlock Your AI Opportunity At Forrester’s AI Forums

Sharyn Leaver 4 days 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 6 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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Upcoming Events For Data, AI, And Analytics Leaders 

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Singapore

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Sydney

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Austin

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London

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New York City

Meet Our Technology Analysts 

Charlie Dai

Charlie Dai

VP, Principal Analyst

Srividya Sridharan

VP, Group Director

Brian Mukasa

Data Researcher

Thomas Husson

VP, Principal Analyst

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