

3387: How Tableau’s Srinivas Chippagiri Thinks About Responsible AI and Cloud Systems
Aug 17, 2025
Srinivas Chippagiri, a senior technology leader at Tableau and author, shares insights from over a decade in tech. He emphasizes the balance between AI innovation and responsible design, discussing challenges like data fragmentation and compute costs. Srinivas dives into the rise of hybrid computing and the necessary ethical frameworks for AI systems. He advocates for hands-on learning through small projects and open-source contributions, while exploring how engineering roles are evolving with generative AI and prompt engineering.
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Early Work Shaped A Safety-First View
- Srinivas described leading software for medical devices and energy platforms at GE and Siemens, shaping his focus on safety and compliance.
- That experience influenced his later shift toward cloud platforms and embedding intelligence into systems.
AI Changes Cloud-Native Development
- AI is reshaping cloud-native development toward predictive maintenance, autonomous DevOps, and developer co-pilots.
- Srinivas says these trends will make systems self-healing and boost developer productivity significantly.
Tackle AI Scale With Data And Orchestration
- Mitigate scale issues by unifying data, using intelligent schedulers, and adopting hybrid architectures.
- Srinivas recommends governed data platforms, AIOps/Kubernetes scheduling, and hybrid on‑prem/cloud splits for compliance and cost control.