Exploring the Data Frontier: Su Jella Discusses AI, & Ethics | Ep 143 | DevReady Podcast

In this episode of the DevReady Podcast, host Andrew Romeo interviews Su Jella, Winner, Women in AI (APAC), and Top 25 Analytics Leaders (IAPA). Delve into the dynamic world of data analytics as Su unpacks the transformative power of AI, navigates ethical landscapes, and unveils innovative strategies shaping the future of industries. Join Andrew and Su as they explore how data-driven insights are revolutionizing decision-making and enhancing customer experiences in today's rapidly evolving technological landscape.

Su recounts her career journey, transitioning from a marketing background to a prominent role in data analytics, underscoring the shift from traditional market research to digital marketing strategies. She emphasises the integration of web and CRM technologies and the critical importance of understanding customer behavior through data insights. Throughout the discussion, Su advocates for effective data management and storytelling within organisations to drive impactful decision-making.

Andrew prompts Su to elaborate on the essence of data analytics and a typical day in her professional life. Su details the multifaceted nature of her work, encompassing data cleaning, analysis, and the communication of actionable insights to stakeholders. She stresses the significance of discerning valuable data amidst vast collections, highlighting the evolution of analytic techniques and the pivotal role of trustworthy data in facilitating informed business strategies.

Su provides practical advice on initiating effective data utilization within businesses. She stresses the assessment and optimisation of existing data assets, emphasizing robust data governance and the strategic integration of data collection channels. Su also addresses the burgeoning significance of digital data and cybersecurity, particularly in safeguarding customer information and enhancing operational resilience.

The conversation turns to the distinctions between generative AI (GenAI) and big data analysis, where Su clarifies that GenAI, like ChatGPT, excels in rapid synthesis of information for content generation, contrasting with big data's rigorous approach to analyzing extensive datasets through structured processes and natural language processing. She underscores the necessity for accessible data visualization tools beyond traditional Excel, advocating for intuitive solutions that empower decision-makers across all levels of technical proficiency.

Su concludes by discussing the transformative impact of AI on organizational practices, emphasising the imperative to humanise AI applications and integrate ethical considerations. She cites examples from social responsibility initiatives where leveraging big data for non-commercial purposes has yielded substantial community benefits and enhanced product development.

In the final segment, Andrew and Su explore the criticality of data-driven decision-making versus relying on assumptions in business contexts. They stress the importance of robust feedback loops and innovative approaches to adding value not only to revenue streams but also to customer experiences. Su’s insights underscore the transformative potential of data analytics when applied thoughtfully and ethically within organisations striving for competitive advantage and sustainable growth.