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.
A quick summary of our series on AI implementation, where we covered topics from data alignment and architecture to AI analytics and governance, addressing the benefits and challenges of AI integration.
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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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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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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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