Allie K. Miller

CEO

New York, New York, United States14 yrs 5 mos experience
Highly StableAI ML Practitioner

Key Highlights

  • Top 100 most influential voices in AI by Time Magazine
  • Built a multi-billion dollar business at Amazon
  • Named AI Innovator of the Year by AIconic in 2019
Stackforce AI infers this person is a leader in AI and machine learning with extensive experience in venture capital and product development.

Contact

Skills

Core Skills

Artificial IntelligenceInvestment StrategyStrategic PlanningMachine LearningBusiness DevelopmentProduct DevelopmentAi Systems

Other Skills

AdvertisingAnalyticsB2BBusiness StrategyComputer VisionConversational AICorporate DevelopmentCorporate Social ResponsibilityCybersecurityDigital MarketingDigital StrategyGenerative AIHealthcare AIIntegrated MarketingLeadership

About

📌 Free 5-day email course to learn to build with AI: https://www.alliekmiller.com/the-ai-fast-track Started in AI nearly 20 years ago. Deep background in artificial intelligence, machine learning, technology, organization management, change management and AI transformation, product management, product and user experience, startups, angel investing, and venture capital. ***** Instagram: www.instagram.com/alliekmiller Twitter: www.twitter.com/alliekmiller TikTok: www.tiktok.com/@alliekmiller For private advising sessions with Allie, you can book 30min and 60min sessions here: www.linktree.com/alliekmiller For brand partnerships, paid speaking engagements, investor pitches, or other inquiries: support@alliekmiller.com I am at my maximum connections, please follow to stay connected 💪 ***** Allie K. Miller is a top leader in artificial intelligence, advising leading companies like Novartis, Samsung, Salesforce, Google, OpenAI, and Anthropic and was recently named the top 100 most influential voices in AI by Time Magazine. With nearly 2 million followers, she is also the most followed voice on AI business. Previously, Allie built a multi-billion dollar business at Amazon as the Global Head of Machine Learning for Startups and Venture Capital at AWS, launched the first multimodal AI team at IBM, shaped national AI strategies, and taught AI as an instructor on MasterClass. Allie's groundbreaking insights on AI have been featured in Forbes, Fortune, Wall Street Journal, Washington Post, and more. Allie was named as AIconic’s 2019 "AI Innovator of the Year", LinkedIn Top Voice for Technology and AI 2019 & 2020 & 2021, Award Magazine’s Top 50 Women in Tech and Top 100 Global Thought Leaders, Chief in Tech’s Top 100 Women in Tech to Watch in 2022, ReadWrite’s Top 20 AI Speakers in the World, MKAI’s Top 20 AI Mavericks, Data Salon’s Top 25 Data Science influencers in the world, and Neptune’s Top 20 AI Influencers. Allie is also a national ambassador for the American Association for the Advancement of Science (AAAS), an ambassador for the 10,000-person organization Advancing Women in Product, an angel investor in machine learning startups, and has won the Grand Prize in three national innovation competitions. Allie holds a double-major MBA from The Wharton School and a BA in Cognitive Science from Dartmouth College, coding a three-year ML study in natural language processing. _____________________________________ My posts are my own and do not reflect the opinions of my current, past, or future employers.

Experience

Thrive global

Scientific Advisory Board Member

Jan 2023 – Present · 3 yrs 2 mos

Open machine

2 roles

Fortune 500 AI Advisor

Jan 2022 – Oct 2025 · 3 yrs 9 mos

  • Advising Fortune 500 companies, enterprises, non-profits, and startups on artificial intelligence and machine learning, including AI use cases, data strategies, competitive advantages, organization design and restructuring, strategic planning, business development, corporate development, product development, go-to-market, and marketing.
  • SPEAKING AND ADVISING: named top 20 AI speakers in the world, deliver provocative, memorable, tactical talks on implementing AI in business and leadership. Current and previous clients include: Amazon Web Services, Amazon, IBM, Google, Nvidia, Mastercard, JP Morgan Chase, Thomson Reuters, BetterUp, Citi, Nasdaq, eBay, Kayak, Priceline, Booking.com, LinkedIn, Coursera, Salesforce, Cisco, VMWare, SAS, Zendesk, SAP, Samsung, Novartis, Slack, ServiceNow, Coca-Cola, Lockheed Martin, Gap Inc, Dropbox, Insight Partners, Sequoia, Greylock, Softbank, Madrona Partners, Y Combinator, TechStars, Startup Grind, Harvard University, Stanford University, Dartmouth College, The Wharton School (University of Pennsylvania), University of Southern California (USC), European Commission.
  • Represented by CAA - teamalliekmiller@caa.com
Artificial IntelligenceMachine LearningStrategic PlanningBusiness DevelopmentCorporate Development

Angel Investor and AI Startup Advisor

Jan 2018 – Present · 8 yrs 2 mos

  • Investing in artificial intelligence and machine learning startups with strong product-market-founder fit and speed of iteration, primarily in B2B. Invest across stage (pre-seed to series B), most often pre-seed/seed. Investment areas include: generative AI, large language models, cybersecurity, data science productivity, notebooks, frameworks, healthcare AI, content creator AI, neural search, speech AI. Investments include: Replit, Hebbia AI, Hyperwrite. Co-investors include: Khosla Ventures, Insight Partners, Index Ventures, Madrona Venture Group, General Catalyst Partners, Bessemer Venture Partners, Tiger Global Management, Radical Ventures, JPMorgan Chase, American Express, Mark Cuban, Gary Vee, Pieter Abbeel, Raquel Urtasun, Jerry Yang, Peter Thiel. LP in several early stage funds include Outset Capital, ATP, Reveille.
  • Send startup pitches to support@alliekmiller.com.
Artificial IntelligenceMachine LearningInvestment StrategyB2BGenerative AICybersecurity+1

Lytical ventures

Technical Advisory Board

Jan 2022 – Present · 4 yrs 2 mos

Amazon web services (aws)

Global Head of Machine Learning Business Development, Startups and Venture Capital

Mar 2019 – Jul 2022 · 3 yrs 4 mos

  • Founded, launched, and scaled the global machine learning (ML) startup business at the largest cloud provider in the world. Collaboratively transformed it into a multi-billion-dollar business line (a testament to the collective efforts and dedication of my team and numerous colleagues at AWS).
  • Grew team to nearly 100 people across technical business development (ex-founders and CTOs), operations, machine learning solution architects, sales, sales operations, marketing, and program management; diverse and skilled org delivered best-in-class strategic advising (ex: cap table management, org scaling, acquisition and IPO prep, GTM), technical advising (ex: recommendation engine methods, latency optimization), and AWS resources (ex: funding, exclusive access to pre-release products) to leading AI founders and investors worldwide.
  • Recognized with the AWS “Hire and Develop the Best” Award, given in acknowledgement of the successful establishment of new business line and creation/management of one of the highest-performing teams within org. Rated top of org 2021 and 2022.
  • Outside of role remit, delivered over 100 public talks on artificial intelligence and leadership, actively participated in volunteer programs and hackathons promoting STEM education for youth, mentored 20+ Amazon employees, and co-authored internal cybersecurity strategy with Director of Amazon-wide global risk and intelligence to launch new company employee protection team and program (approved directly by Jeff Bezos).
Machine LearningBusiness DevelopmentTeam ManagementPublic Speaking

Ibm

Lead Product Manager at IBM Watson

Jan 2016 – Feb 2019 · 3 yrs 1 mo · San Francisco Bay Area

  • Multi-modal computing, AI systems, AI operations, computer vision, conversational AI
  • Experience:
  • Led team of 30 engineers to build IBM’s first-ever trained multi-modal AI system
  • Ran product development for Watson Visual Recognition (image recognition, text recognition, face recognition)
  • Built core artificial intelligence vision technology for start-ups to Fortune 50 clients for any use case--photo analysis, inspections, insurance, fraud detection, and media tracking
  • Scoped new enterprise artificial intelligence solutions (now a full team called "Watson Work"), chatbot development platforms, and M&A strategy
AI SystemsProduct DevelopmentComputer VisionConversational AI

Goodlux technology

Head of Product

Jan 2013 – Jan 2015 · 2 yrs · Greater Boston Area

  • GoodLux Technology is a Boston-based health tech startup that created SunSprite.
  • SunSprite is an award-winning hardware device and mobile app that tracks your light intake to treat depression and improve your health. We are a team of Harvard-trained doctors, scientists, and engineers redefining the digital health space and adding mental wellness to wearable tech's roster.
  • Press coverage: Forbes, CNN, Mashable, Popular Science, Fast Company, Engadget, Gigaom, Discovery Channel, Mashable, The Atlantic, Fox News, SXSW, TEDMED, and more.

Various - startups to fortune 500

Strategist

Jan 2007 – Jan 2014 · 7 yrs

  • Broad-based experience in all aspects of innovation: technology, entrepreneurship, machine learning, research, venture capital consulting, and startup consulting.

Education

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

Dartmouth College

Bachelor’s

Harvard-Westlake School

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