
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.
Podzilla Summary coming soon
Sign up to get notified when the full AI-powered summary is ready.
Free forever for up to 3 podcasts. No credit card required.

Season 2 – Episode 7 – The Rise of Modern Data Infrastructure in Healthcare Domain with Ben Nguyen

Season 2 – Episode 6 – The Role of Data Quality in Modern Data Platforms with Melvin Widodo

Season 2 – Episode 5 – The use of Artificial Intelligence in Data Processes and Solutions with Thomas Winsnes

Season 2 - Episode 4 - The Challenges of Changing Perception and Delivering Value in Immature Data Environments
Free AI-powered recaps of Data Tech Talks and your other favorite podcasts, delivered to your inbox.
Free forever for up to 3 podcasts. No credit card required.