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Responsible AI
Governance, explainability, and risk frameworks that let enterprises scale AI with confidence and regulatory readiness.
Responsible AI · Generative AI · Data Science
Building AI that enterprises can actually trust.
I’m Ted Kwartler. I help organizations ship generative AI and machine learning that is transparent, ethical, and effective, from large language models to production ML at scale.
Roles & affiliations
AccentureHarvardDataRobotAmazonLiberty MutualWorld Economic Forum
About
Data, business acumen, and ethics, in one stack.
I’m Ted Kwartler, Managing Director of Accenture’s North American Responsible AI practice, where I help organizations deploy generative AI and machine learning that is transparent, ethical, and effective in the real world.
I was an early employee at DataRobot, serving as field Chief Technology Officer focused on generative AI and large language models, and helping set product strategy for explainable and ethical AI. Before that I built and led data-driven teams at Amazon and Liberty Mutual Insurance.
I teach what I practice. As an instructor at Harvard Extension School and faculty at GSERM / the University of St. Gallen, I’ve introduced thousands of students to data mining, text analytics, and applied AI. I’m the author of several R and analytics books and a contributor to the World Economic Forum on the future of responsible AI.
3+
Books authored
4
DataCamp courses
10+
Years leading data & AI
1000s
Students taught
What I do
Three areas where I help teams win with AI
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Generative AI & LLMs
Strategy and hands-on delivery for large language models, from use-case selection to evaluation and safe production deployment.
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Data Science & Education
Practical machine learning, text mining, and analytics, and the teaching that turns practitioners into confident builders.
Experience
A career at the intersection of data, business, and ethics
Present
Managing Director, Responsible AI · Accenture
Lead the North American Responsible AI practice, applying data science best practices across industries to make enterprise AI trustworthy and effective.
Earlier
Field Chief Technology Officer · DataRobot
Early employee focused on generative AI and large language models; helped set product strategy for explainable and ethical AI adoption.
Earlier
Data & Analytics Leadership · Amazon & Liberty Mutual
Built and scaled data-driven capabilities, pairing rigorous analytics with real business outcomes.
Ongoing
Instructor & Faculty · Harvard Extension & GSERM
Teach Data Mining for Business at Harvard and natural language processing internationally; author and DataCamp course creator.
Books
Code-first books that teach analytics by doing
Real datasets, working R code, and applied results. Browse them all at rstatsbook.com.
Text Mining in Practice with R
Text Mining in Practice with R
A hands-on guide to NLP and text analytics in R, from data collection to sentiment, clustering, and prediction.
View on Amazon →Sports Analytics in Practice with R
Sports Analytics in Practice with R
Applied analytics for sport, using R to turn play, performance, and business data into decisions.
Learn more →Applied Sport Business Analytics
Applied Sport Business Analytics
Contributed chapters on natural language processing and applied business analytics for the sports industry.
Learn more →4 Courses on DataCamp
DataCamp Courses
Interactive courses on text mining and machine learning in R, taken by learners worldwide.
See my courses →Featured program
LLMBA: an AI education initiative for business leaders
I’m proud to be featured at LLMBA, a program that helps professionals build genuine fluency in large language models and generative AI for business. Explore the curriculum and the leaders behind it.
Visit LLMBA →Teaching & speaking
Where I teach and share what works
Data Mining for Business
Harvard Extension SchoolInstructor for CSCI E-96, teaching applied data mining and machine learning to graduate and professional students.
Natural Language Processing
GSERM · University of St. GallenFaculty for intensive international courses on text analytics and NLP.
Text Mining & ML in R
DataCampFour interactive online courses reaching a global community of data learners.
Keynotes & Advisory
World Economic Forum & industry eventsSpeaking and writing on responsible AI, generative AI adoption, and the future of trustworthy ML.
Get in touch
Let’s build AI worth trusting.
Reach out about responsible AI strategy, generative AI programs, teaching, speaking, or advisory work.