In the era of AI advancement, data has emerged as a vital asset for making informed decisions, providing guidance, and building trust. Despite recognizing its power, companies struggle to unleash the full potential of data. The primary issue lies in striking a balance between deriving immediate value from data investments and setting the stage for future growth. According to McKinsey, organizations typically employ either a grassroots or big-bang data strategy—neither of which enables them to make the most of their data investments. This challenge is further compounded by the unpredictable evolution of data technologies, the emergence of new data types, and the continuous surge in data volume.

While some Tech Leader & Chief Data Officers (CDOs) have successfully driven innovation through data, challenges like data silos and quality issues remain significant pitfalls. A modern data strategy breaks down silos, empowering teams to conduct analytics and machine learning with proper security and data governance controls. Building this effective data strategy involves creating a scalable infrastructure, instilling a data-driven mindset, and addressing security challenges associated with data in silos.

Join Tableau in collaboration with ET Edge for an exclusive CXO roundtable session to gain insights and learn best practices from tech leaders across industries. Explore how to overcome roadblocks, future-proof your Data & AI strategy, and position your business as an intelligent, data-driven enterprise capable of navigating today’s dynamic business environment. This session is your opportunity to craft a data strategy that unlocks the full potential of AI for you and your business. The discussion will cover the following key points:

• Balancing Data-Driven Innovation with Privacy and Security Concerns
• Measuring ROI of AI Initiatives for Innovation and Responsible Data Handling
• Identifying AI Use Cases Aligned with Strategic Goals and Minimizing Data Privacy Risks
• Ensuring Transparency and Explainability in AI Decision-Making Processes
• Creating a Culture of Responsible AI within the Organization
• Industry-Specific Challenges and Opportunities in Generative AI for Data Strategy

Who should attend?

• CIOs, CTOs, Chief Data Officers, and IT Heads
• Head of technology / Head enterprise
• Heads of analytics, data science and business intelligence
• Global business data strategy Head

Preetam Biswas
Head of Analytics
Aditya Birla Health Insurance

M A Kishen Kumar
Group Chief Technology Officer
ASK Group

Mukesh Jain
CTO
Capgemini

Narendra Singh
Vice President Of Products
HDFC Credila Financial Services

Vikas Gupta
CTO
Hiranandani Energy

Nilotpal Gupta
Head Data Science
ICICI Securities

Vivek Zakarde
General Manager IT and Head of Analytics
IDBI Bank

Dharmesh Shah
AVP
LTIMindtree

Dhaval Pandya
Corporate Chief Information Officer (CIO)
Piramal Enterprises

Amit Ray
CIO
Reliance Digital Retail

Gopal Malakar
Sr. VP BI & Analytics
SBI Card

Bhushan Sonkusare
CTO, HNW Business
360 ONE

Rahul Jain
Chief Solution Architect – Global AI CoE
Eviden

Deepak Chandani
Chief Data officer
Angel One

Ashwani Mishra
Editor- Technology & Associate Director, Content
ET Edge

Abhishek Bose
Head of Data Science
Tata Capital