Episode 37

Engineering the Healthcare Dataverse: From data chaos to clear insights

Healthcare data is exploding, from clinical records to wearables, and with it comes both opportunity and chaos.

In this episode, experts Abhishek Wagle and Anand Rao explore the Healthcare Dataverse, a digital ecosystem where data engineering, AI, and cloud technologies converge to improve care, reduce costs, and drive health equity.

Key Highlights:

How data engineering brings structure and reliability to fragmented healthcare data
Real-world examples of automation improving compliance and reducing errors
The growing impact of wearables and patient-generated data on proactive care
Examine the challenges health plans face, such as the rapid pace of regulatory changes and the need for adequate resources to maintain compliance
Inclusive data practices that build trust and support fair treatment
How AI thrives on clean, complete, and consistent data

Tune in to explore how clarity in data leads to clarity in care.

Abhishek Wagle

AVP, Quality & Performance, CitiusTech

Abhishek is the Assistant Vice President of Quality & Performance at CitiusTech, driving large-scale cloud and professional services projects with a focus on quality and timely delivery. Skilled in Agile methodologies and generative AI, he combines technical expertise with strong commercial acumen to manage risks, foster collaboration, and deliver transformative solutions.

Anand Rao

VP, Marketing, Datagaps

Anand Rao is Vice President of Marketing at Datagaps, where he leads go-to-market strategy, brand, and demand generation. With experience at Informatica, IBM, Hitachi, Qlik, and Pentaho, Anand is a recognized thought leader on DataOps, data quality, ETL, and AI/ML. He holds an MBA from Carnegie Mellon University.

Episode 37

Engineering the Healthcare Dataverse: From data chaos to clear insights

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