Day 2 | Main Hall - Thought Leadership and Strategic Insights

Renowned leadership coach Marshall Goldsmith explores the inspiration behind his book “What Got You Here Won’t Get You There,” emphasizing the behavioral changes leaders need to achieve new success levels. He introduces LPR (Leadership Potential Recognition) and its role in creating MarshallBot, an AI coaching tool poised to revolutionize leadership development.

Goldsmith shares insights from coaching industry titans like former Ford CEO Alan Mulally, highlighting a personalized approach. He reflects on how Buddhist principles have shaped his coaching, fostering mindfulness and self-awareness in leaders.

Looking forward, Goldsmith envisions MarshallBot as a transformative tool in leadership training, offering personalized feedback and continuous improvement. He discusses integrating this AI tool into existing development programs and shares user feedback that has refined its functionality.

Goldsmith also contemplates AI’s broader impact on the future of work and leadership, identifying key skills leaders must develop to collaborate effectively with AI technologies, ensuring they stay agile in an ever-evolving landscape.

CatExpert.ai, the self-service Assortment and Planogramming product developed by AB InBev, is significantly driving growth of beer as an industry by keeping retailers at the heart of everything we do. Through CatExpert.ai, we bring the power of data, analytics, and data science to retailers to help them unlock incremental sales from efficient shelf planning. As they grow, we grow.

Today CatExpert.ai is being used in many countries, and this has been possible largely due to the highly scalable tech architecture and forward-thinking data engineering practices we have deployed. CatExpert.ai leverages cloud native infrastructure to achieve scalability, elasticity, and global reach. It is built upon a microservices architecture, which allows for modular development, scalability, and fault isolation. Each microservice handles a specific business function, enabling rapid updates and flexibility as per the needs of different markets. All our data gets organized in a readily usable form by utilizing feature stores and gets used for various data science applications. On top of its data warehouse, CatExpert.ai employs machine learning algorithms to optimize the best combination of SKUs that’d maximize the retailer’s revenues from beer as an overall category. As the scale of CatExpert.ai operations grows, a lot of focus is on data quality & standardization, model governance & reusability, and security of the platform.

In an era where data serves as the compass guiding successful brands, the journey of Boat stands as a beacon of inspiration. Join Aman Gupta, Co-founder and Chief Marketing Officer of Boat, as he shares the captivating narrative of Boat’s rise to prominence in the consumer electronics industry. From navigating uncharted waters to charting a course for success, Aman offers invaluable insights into leveraging data-driven strategies to craft a compelling consumer brand. Drawing from the rich tapestry of Boat’s story, attendees will discover the transformative power of data in shaping marketing initiatives, driving business growth, and fostering enduring customer relationships. Prepare to set sail on a voyage of discovery, as Aman Gupta unveils the secrets behind Boat’s triumphant journey and imparts actionable lessons for aspiring brand builders.

In today’s data-driven landscape, the ability to extract actionable insights from vast volumes of data is crucial for organizations aiming to maintain a competitive edge. In this discussion, we explore how we harness the power of GenAI, Machine Learning models, and advanced Data Analytics techniques to unearth hidden patterns, trends, correlations, and influential features within extensive data repositories. We delve into how these technologies enhance Business, Customer and Operational Insights, enabling proactive strategies, personalized experiences, and operational efficiencies at scale. Through real-world examples, we illuminate the transformative potential of AI in driving innovation, uncovering new opportunities, and fostering a data-centric culture, where intelligence is democratized and accessible throughout an organization.

The evolution of Web2.0 and the modernization of Big Data has led to massive disruption in traditional ways of handling business in services, manufacturing, health care, and various sectors. This, in turn, has led to massive opportunities in enabling business growth through technological innovations and transformations.

As a result of this transformation, the opex and capex have been increasing massively, thereby impacting the profitability across sectors and organisations. Every organization now has the need to increase its revenue. This is where the Monetization of Data at scale comes in.

Monetization of Data provides 3 key advantages to organisations. It is a competitive advantage over competitors, offers new revenue source streams, and streamlines operations to reduce cost. This requires 3 stages for successful implementation: assess existing data to determine revenue stream, decide the target segment and objective of data assert, adhere to compliance, governance, and cybersecurity. While a lot more solutions and use cases are now being made available, with this talk, Arun wants to share his perspective on a few important use cases and their benefits.

Data storage and management are pivotal in the realm of data engineering, with data lakes and data warehouses representing two fundamentally different approaches. This panel will contrast these two architectures, discussing their respective advantages and ideal use cases. Panelists will cover data lakes’ ability to store vast amounts of unstructured data, offering flexibility and scalability, particularly beneficial for big data analytics. Conversely, the discussion will highlight data warehouses’ structured environment, which is optimized for efficiency and speed in querying, making it suitable for business intelligence and reporting. The debate will also touch on considerations such as cost, complexity, data integrity, and future-readiness of each architecture, providing a comprehensive understanding of when and how each should be implemented in a business context.

Revolutionizing NoSQL Analytics: Real-Time Analytics & Data Warehousing with Couchbase delves into the transformative potential of utilizing Couchbase, a popular NoSQL database, for real-time analytics and data warehousing purposes. This discussion explores how Couchbase’s unique NoSQL Columnar and MPP architecture, along with Zero ETL real-time data ingestion capabilities, enable organizations to efficiently process and analyze large volumes of data in real time, leading to actionable insights and enhanced decision-making capabilities. The discussion will also explore how leveraging the NoSQL Data Model for analytics enables organizations to respond to rapidly changing business requirements compared to traditional relation data warehouses.