Consultant, Tata Consultancy Services
Founder President, Bharat Research in AI and NextGen Foundation
Senior Member IEEE, ACM Distinguished Speaker
The ACM Distinguished Speaker Program (DSP) at SR University presents an expert talk titled "Journey from Data to Data Product" by Dr. Neha Sharma, Consultant, Tata Consultancy Services, Founder President, Bharat Research in AI and NextGen Foundation, Senior Member IEEE, ACM Distinguished Speaker. The session is designed to provide students, faculty members, and researchers with practical insights into transforming raw data into impactful, real-world data products that create business and societal value.
The talk will cover the complete lifecycle of a data product, including data collection, preprocessing, analytics, machine learning, deployment, and productization. Participants will gain an understanding of how organizations leverage data-driven technologies to develop scalable solutions across various domains. The speaker will also share industry experiences, best practices, challenges encountered in building data products, and the essential technical and professional skills required for careers in data science, artificial intelligence, and product development.
The program aims to bridge the gap between academic learning and industry expectations by exposing participants to emerging trends and practical applications in data-driven innovation. The interactive session will encourage discussions on research opportunities, career pathways, internships, and industry collaboration. Overall, the event seeks to inspire students to develop innovative, market-oriented solutions while strengthening their technical competencies, analytical thinking, and readiness for careers in the rapidly evolving fields of data science and AI.
The primary objective of this ACM Distinguished Speaker Program is to provide students, faculty, and researchers with practical knowledge of transforming raw data into scalable and impactful data products. The session aims to bridge the gap between academic concepts and industry practices by highlighting the complete data product lifecycle, including data collection, analytics, machine learning, deployment, and product management. It also seeks to enhance participants' understanding of emerging trends in data science and artificial intelligence, foster innovation and problem-solving skills, promote industry-academia interaction, and inspire students to pursue research, internships, and careers in data-driven technologies and AI-enabled product development.
