Marketing AI Profile: Allie K. Miller
Ms. Miller is a Lead Product Manager at IBM Watson in San Francisco and has worked in three of the most critical areas of AI—conversational, computer vision and data. She works with Fortune 500 clients, developers and designers to produce IBM’s computer vision technology—including image recognition and face recognition—and multi-modal AI data strategy. Allie has consulted in AI for the nation’s top VC firms, addressed the European Commission and has spoken at technology companies and conferences across the world.
Allie possesses a solid background in artificial intelligence, human-computer interaction, technology, cognitive science, analytics, product and user experience, marketing, and consumer insights.
Previously, Allie served as the Head of Product at a Harvard-based health technology start-up, managing everything from explosive user growth to product development. Earlier, Allie led the marketing campaigns and growing the businesses of travel, entertainment, health, and financial clients (including Carnival Cruise Lines and CDC).
The Wharton School, Master of Business Administration (M.B.A.)
Stanford University Graduate School of Business, Certificate of General Management, Summer Institute for General Management
BA Cognitive Science
“AI is highly technical, but it’s also immensely humanistic. AI could deepen what it means to be human.”
Upcoming Speaking Engagements
MAICON 2019 – When the Conference Is Over: A No-Nonsense Guide to Implementing AI
Allie Miller has built and implemented AI solutions with over 150 clients across nine industries. Through these experiences, she has created an actionable AI guidebook: the 8 essential steps to any successful AI project. Whether you’re devising a computer vision strategy for user-generated content or leveraging natural language processing to extract meaning from social media, this session is the place to start.
During this talk, you will learn the quick version of her guide:
- 3 steps to picking and designing the right AI project for your company
- 3 steps to executing and testing your AI work
- 2 steps to measuring and enhancing your AI workflows
Recent Events
Google’s Machine Learning Speaker Series – How to Become an AI Product Manager
Silicon Valley Forum League of Extraordinary Women – How Leading Businesses are Leveraging AI – and How You Can, Too
Allie K. Miller on AI Marketing
The Five Levels of Machine Learning Use Cases
If you’re trying to determine how to use artificial intelligence in your business, this post offers a non-technical guide to brainstorm potential machine learning use cases. Undoubtedly an entertaining and useful read.
Remember to have a look at our list of who is who in AI marketing.
Stephen leads the content strategy blog for MarketMuse, an AI-powered Content Intelligence and Strategy Platform. You can connect with him on social or his personal blog.