Abstract: 

This presentation provides a detailed exploration into the strategic implementation of Data Science in enhancing customer satisfaction and driving business growth. We will share our progress in creating an advanced AI Command Centre, elucidating the underlying MLOps infrastructure and revealing our architecture diagram for comprehensive understanding. Emphasizing on the integration of AI and machine learning models, we will discuss methodologies for monitoring, validating, and versioning to ensure optimized and consistent performance. The talk will highlight our robust training initiatives aimed at building AI proficiency within our workforce, alongside the necessary change management strategies to effectively navigate this digital transformation. Finally, the session will delve into our ongoing journey of ensuring AI operationalization and transparency, thereby fostering a culture of data-driven decision making. Join us as we unpack the intricate technical facets of our AI-centric strategy.

Bio: 

Habib Baluwala, a dedicated data leader with a PhD from Oxford, serves as the Domain Chapter Lead at Spark New Zealand. With over 15 years of experience in data engineering and data science, he has developed a deep understanding of how data can drive business success. Habib's exceptional leadership and communication skills enable him to effectively engage with stakeholders, lead high-performing teams, and drive data-driven decision-making across the organization. He actively explores AI governance for responsible and ethical AI implementation. Committed to continuous learning and teamwork, his expertise is exemplified by his Chief Data Officer certification. A seasoned leader, Habib's unique combination of technical expertise and leadership skills empowers him to deliver innovative data solutions that support business growth.