ACM-IEEE WIE Twin cities: Building Trusted AI -Data Consistency, Governance & Information Quality

#pipelines #ai #application #architecture #AI #professional #WIE

AI is only as trustworthy as the data behind it. Inconsistent pipelines, fragmented governance, and poor data quality are why many enterprise AI efforts fall short. The problem is rarely the model.

Hemasundara Reddy Lanka (Technical Architect, Publicis Sapient) shares what works in practice, drawing on modernization work in financial services and other regulated industries. He’ll cover how to keep data consistent across distributed systems, how to set up governance that scales, and how to improve quality at the source.

Speaker: Hemasundara Reddy Lanka, Technical Architect – Publicis Sapient. Hemasundara has 20+ years of experience designing and modernizing enterprise-scale systems across financial services, healthcare, and technology, with a focus on cloud-native architecture, event-driven data platforms (Kafka), enterprise data governance, and bringing GenAI and intelligent agents into real-world applications. Learn more about Hemasundara on LinkedIn

🌐 Open to practitioners everywhere
Track: AI Quality, Governance & Trust

Agenda (60 min)
6:00 – Welcome
6:05 – Speaker intro
6:10 – Talk
6:40 – Q&A
6:55 – Wrap-up

Agenda (60 min)
6:00 – Welcome
6:05 – Speaker intro
6:10 – Talk
6:40 – Q&A
6:55 – Wrap-up