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Mark Austin

VP, Data Science
AT&T
Autonomous Networks summit
Composable IT and Ecosystems summit
Trustworthy AI and Data summit
Mark Austin

Dr. Mark Austin leads a team of approximately 250 data scientists and developers at AT&T's Chief Data Office. His team applies AI, machine learning, and automation across various domains, including fraud detection, field operations, and supply chain management. With over 29 years of experience, Dr. Austin has authored five books, published over 20 technical papers, and holds more than 100 patents. He earned his Ph.D. in Electrical Engineering from Georgia Tech and is based in Plano, Texas.

Featured in these sessions

ModaaS in practice: Deploying and operating models as reusable services
Trustworthy AI & Data
23 June 2026
12:15-13:15
Future Skills Stage
ModaaS in practice: Deploying and operating models as reusable services

Presentation: Modaas in practice: Deploying and operating models as reusable services

From boardroom to code: Making strategy real
Composable IT & Ecosystems
23 June 2026
12:15-13:15
Build Stage
From boardroom to code: Making strategy real
Reinventing network operations — new performance, new possibilities
Autonomous Networks
23 June 2026
14:15-15:15
Park Stage
Reinventing network operations — new performance, new possibilities

Learn how operators are unlocking new levels of reliability and responsiveness.

AI Native ODA - the path to open digital autonomy
Composable IT & Ecosystems
23 June 2026
16:45-17:15
Vision Stage
AI Native ODA - the path to open digital autonomy
Trust AI: Turbocharge telco innovation!
Trustworthy AI & Data
24 June 2026
11:00-13:15
TM Forum Industry Showcase Stage
Trust AI: Turbocharge telco innovation!

Discover how operators build governed, explainable networks that think, protect, and evolve independently. Explore semantic digital twins as ODA-aligned foundations for closed-loop automation and AI-driven decisions at production scale. See MODaaS demos proving model trustworthiness, AI-native security agents enforcing policy-driven compliance in autonomous workflows, and unified data platforms stopping fraud while powering breakthrough experiences.

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AT&T