Tia White
General Manager of AI/ML Personalization, Privacy, & Generative AI at Amazon Web Services (AWS)
Tia White, a pioneering disruptor in AI and machine learning, is the first Black woman GM in Machine Learning, AI, and Analytics at Amazon Web Services, overseeing go-to-market, product, and engineering for a portfolio of services. She rapidly advanced from engineer to Director of Engineering at a Fortune 100 company before age 30 and has driven major transformations leveraging disruptive technologies. Passionate about Diversity, Inclusion, and Equity, Tia collaborates with organizations like Women Who Code and serves on numerous advisory and non-profit boards, focusing on supporting underrepresented talent in technology.
Full Profile
About Tia White
Tia White stands at the forefront of artificial intelligence and machine learning, recognised as the first Black woman to serve as General Manager in Machine Learning, AI, and Analytics at Amazon Web Services (AWS). With a stellar track record driving digital transformation across Fortune 100 companies including Wells Fargo, Capital One, and JPMorgan Chase, she specialises in harnessing disruptive technologies to unlock growth and elevate customer experience. Tia leads global teams and orchestrates go-to-market, product, and engineering strategy for a portfolio exceeding $25M in profits, underlining her capacity for innovation and results-driven leadership.
A passionate advocate for diversity, inclusion, and equity, Tia White’s influence extends beyond technical realms. She has masterminded DEI programs, served on influential non-profit boards such as Rewriting the Code, and partnered with organisations like Women Who Code to nurture underrepresented talent in technology. Her dedication has helped companies double their Black technical workforce and substantially increase the representation of women in engineering. As a single mother and mentor, she champions the power of community and the role of allyship, mentorship, and sponsorship, values she weaves into every keynote and engagement.
Tia’s expertise addresses some of business’ most urgent challenges:
- Accelerating digital transformation using AI, machine learning, and data
- Helping businesses innovate quickly with generative AI and large language models
- Implementing cloud technologies for rapid scale and resilience
- Embedding DEI at the heart of technology strategy and team building
- Navigating change management and talent development in complex organisations
Tia White’s deep technical insight and relatable leadership style make her a sought-after speaker at major events including SXSW and Grace Hopper. Tia brings real-world guidance for leaders aiming to thrive in today’s data-driven era, demystifying emerging technologies, fostering inclusive cultures, and preparing teams to excel in the digital future.
Talks
In the last 3 years, the amount of data we have readily accessible has grown over 1600x. To that end, we are unleashing the power of generative AI and large language models (LLMs), allowing companies to quickly deliver solutions such as text or image creation with very minimal data required.
In this conversation, Tia will explain GenAI in very simple terms, how to identify appropriate use cases for GenAI and when traditional ML may be more appropriate. Based on her expertise as a current AI executive, Tia leaves audiences with real-time insights into the rapidly evolving world of artificial intelligence.
In today’s digital world, data is the cornerstone that companies must embrace to accelerate innovation.
Innovation is essential in today’s economy to maintain a competitive advantage.
In this conversation, Tia White will share how to unleash the power of data to deliver rapidly with machine learning and artificial intelligence. From leveraging data to make timely (even real-time) decisions to utilizing a machine for use cases such as personalization, forecasting, etc., Tia shows the audience how to make
massive improvements without much human intervention. She will also discuss how to bring the organization along the journey – people, processes and tools.