Anne Lifton

Principal Architect

Driving efficiency through innovative AI and ML applications.

Anne believes that listening to the customer is more than just hearing them. It means understanding what’s most important to them. This is at the heart of how she applies AI and ML. She’s driven to apply these capabilities to speed up business processes and drive efficiencies and revenue.

With over 10 years of experience in data science and machine learning, Anne has lead teams to create value for organizations such as Nordstrom, Microsoft, Best Buy, and Boston Scientific. She has spoken at several conferences, including Women in Tech and RetailAI.

When not immersed in the world of data, Anne enjoys visiting museums and volunteering at her child’s school as an art docent. She also partners with STEM Generation to share her “Diverse STEM Story” with classrooms of young students, hoping to inspire the next generation of data scientists.

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Insight Posts

A circuit board with a processor bearing an image of a brain
Artificial Intelligence

Aligning Data with AI Implementation: An Overview

To get the most value from your AI implementation, it's critical to ensure your data initiatives are aligned with your AI solution's requirements.

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A man holds a cellphone. Above it float holographic images of data visualizations driven by AI
Artificial Intelligence

How We Build Tangible Value with AI

AI is only truly helpful to organizations when it can provide real business value. That's why we focus on the results first.

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Anne Lifton, Liz Harding, and Matt Fornito pose after their panel on Ethical AI at the CTA Insights series.
Artificial Intelligence

Experts Weigh In: How Can We Achieve Ethical AI?

At the CTA Insights Series, Anne Lifton gave a keynote talk on Ethical AI followed by a panel tackling some of today's hard questions around AI

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Icons of marketing channels as well as transparent graphs are overlaid on an image of a person holding a tablet, indicating marketing analysis.
Analytics & Insights

Marketing Attribution in the Age of Big Data

What is marketing attribution? And how can it be used to improve decision making?

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