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How Amazon is using AI for Enterprise Research at Scale

About this event

Most enterprise research teams have already experimented with AI. The harder part is operationalizing it in a way that meets enterprise standards for rigor, defensibility, and real business impact.

In this session, Amazon Senior UX Researcher Sarah Kling joins Aneesh Dhawan, CEO of Knit, to outline how Amazon integrated AI into its research practice.

They will walk through the progression from early hesitation in 2024 to a scaled application in 2026. You’ll hear specific examples of where AI outputs fell short, what improved with stronger human oversight, and what ultimately allowed AI-supported research to inform strategic decisions.

If your team is somewhere between pilot and scale, this session is designed to help you assess what comes next. You’ll leave with a clearer sense of where AI belongs in your workflow, how to apply judgment without slowing momentum, and how to raise confidence in outputs across stakeholders.

What You’ll Learn:

  • What it actually takes to move AI from experimentation into an operational research model.
  • Where human judgment must sit inside an AI workflow to protect quality and credibility.
  • What earns stakeholder trust when research is powered by a hybrid human-plus-AI approach.

Hosted by

  • External speaker
    E
    Aneesh Dhawan Co-founder & CEO @ Knit

    Aneesh Dhawan is the CEO and Co-founder of Knit, the researcher-driven AI platform. Before founding Knit, Aneesh served as the CEO of PurPics, an influencer platform that supported CPG brands in launching new products. Today, Knit enables over 60 enterprise brands to go from survey to story in days instead of weeks. Over the past three years, Aneesh has grown Knit into a team of more than 60, securing over $30M in venture funding.

  • External speaker
    E
    Sarah Kling Senior UX Researcher, Amazon Devices: Apps and Games @ Amazon

    Sarah Kling is a Senior UX Researcher at Amazon leading Apps and Games Research across Fire TV's nearly 300 million global users, tablets, and related devices and services. She created Amazon's Global Insights Program, which transformed how research is delivered across international markets, and is pioneering strategic AI integration in research workflows — moving beyond basic tool usage to implementation that enhances rather than replaces human insight. Before Amazon, Sarah led consumer privacy research at Meta, where her work shaped Facebook's privacy redesign for 3 billion users. A three-time startup co-founder and former boutique UX agency owner, she brings 20+ years of experience building research programs that drive real impact. She speaks and writes on AI implementation, privacy ethics, and how researchers can leverage AI strategically while maintaining the human oversight that makes insights trustworthy.

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