Joining me on this episode of Data Tech Talks is Himanshi Juneja. We explore the importance of starting AI projects with a clear focus on creating measurable business value, ensuring initiatives are tied to metrics like revenue, cost, or customer outcomes. Himanshi shares insights on avoiding costly experiments and aligning AI with tangible results.

We also discuss the critical role of decision-making clarity and collaboration with business leaders to identify high-value use cases. Himanshi highlights the need for sufficient data quality and realistic benefit assessment, offering practical guidance for organisations looking to implement AI successfully.

Joining me on this episode of Data Tech Talks is Ben Nguyen, a data leader with experience in finance and healthcare. We discuss the challenges of leveraging data analytics in healthcare, including building modern data infrastructure, ensuring governance and security, and using AI to improve processes and outcomes. Ben shares insights from his journey transitioning into healthcare data and the strategies needed to drive effective analytics.

We also explore the importance of creating user-friendly data products that empower stakeholders and support data-driven decision-making. Ben offers practical advice for building impactful analytics programs and fostering a culture where data is accessible and actionable, providing a clear perspective on the future of data in healthcare.

In our latest episode of the Data Tech Talks podcast, we dive deep into the critical role of data quality in modern data platforms with Melvin Widodo, a seasoned data leader with over 20 years of experience. Discover how data quality underpins successful analytics and platform development and learn about the evolving landscape of data governance and AI integration. Melvin shares insights on building robust data quality frameworks and the importance of collaboration between business and technology teams.