In this Digital CxO Insights video interview, Mike Vizard talks to Pantomath CEO Somesh Saxena about why data observability is now an essential requirement for driving digital business transformation in the age of artificial intelligence (AI).
Transcript Text
In this episode of the Digital CxO Leadership Insights Series, host Mike Vizard interviews Somesh Saxena, CEO of Pantomath, about the challenges and opportunities in achieving data observability. Saxena explains that while organizations increasingly recognize the importance of data quality in driving customer experiences and digital transformation, most struggle with fragmented and disconnected data ecosystems. He highlights Pantomath’s approach to solving this issue by offering a comprehensive, automated understanding of end-to-end data pipelines across diverse technologies, enabling real-time monitoring and root-cause analysis. This proactive strategy not only improves data reliability but also fosters trust and transparency, empowering businesses to make informed decisions without being hindered by stale or flawed data.
Saxena emphasizes the critical role of bridging the gap between IT teams managing data pipelines and business users consuming data for decision-making. While business users often lack awareness of the complex processes behind data preparation, IT teams must simplify and ensure data reliability to meet their needs. With the rise of AI, the stakes are even higher, as poor data quality undermines the effectiveness of AI models. Saxena notes that industries with robust data governance frameworks, like finance and pharmaceuticals, are better positioned to leverage AI, but a proactive, cross-functional approach is essential across all sectors. Ultimately, creating a culture of data trust and investing in observability tools like Pantomath will be key to navigating the growing complexities of data ecosystems.