Fireside Chat:
Journey towards Enterprise Operational Excellence with AI
Understanding how organizations can build, prototype, and deliver on data and AI initiatives is the question at the heart of most AI programs. Join this fireside chat to learn how enterprises can build an operating model that allows for high reuse, rapid adoption, and fast delivery of advanced analytics. The ultimate goal has been to become a more agile organization that leverages data & analytics to drive both innovation and quality, competing with diverse product/services portfolios while optimizing for profitability.

Fireside Chat:
Data-Led Transformation through Unlocking the Strategic Value of Data and AI
Data and AI is C-suite imperative now and a key driver to their growth. Find out how leading organizations have made the shift to become data-driven and insights-led by scaling data and AI on cloud. During this fireside chat, we'll discuss how data-driven re-invention is changing the approach to digital transformation to help companies recognize value faster.

• Defining the data and AI vision and value potential
• Architecting an intelligent data and AI platform
• Cultivating talent and new ways of working

CXO Master Class
Building Trust into AI: Strategies for Enterprises
Leading organizations are being proactive in AI adoption: employing principles such as transparency, explainability, fairness, and governance to build responsible AI. However, most of the businesses struggle to build trust in AI and unlock new uses for high-value AI. Join this master class to gain practical strategies to build responsible AI.

• Incorporating context into planning for responsible AI
• Uncovering bias from global issues to segment and intersectional analysis
• Applying ML observability from multiple angles such as data drift and performance
• Explainability for not only compliance but for better impact and root cause analysis
• Using continuous monitoring to mitigate risk

Fireside Chat
AI-Infused Automation in Financial Sector
With the current uncertain circumstances, financial sector has been burdened to think of continuous disruption. In this scenario, AI-infused automation helps automating mundane tasks reducing cost and increasing efficiency. This session will highlight the trends and impact of AI-infused hyper-automation to financial sector.

Panel Discussion:
Convergence of Edge, AI and Cloud with Hybrid Data Clouds
As the number of edge devices are growing exponentially across multiple industry verticals, the need for localized intelligence at the edge and the immediacy of analytics on the cloud become even more important. This is bringing the three dimensions of Edge, Machine Learning and Cloud much closer. In order to support such an architecture, enterprises need to adopt data management platforms that support Hybrid Data Clouds that enable handling and executing different types of analytical workloads across edge, on-premises and public cloud environments seamlessly. Attend this session to deep dive into the need for such convergence, the benefits and the strategy to address it.

Panel Discussion:
Data-Led Approach to Scale AI
To create meaningful business change, AI requires a clearly defined data-led approach. How that data is collected, managed, and analyzed is a cornerstone consideration for companies who see the application of AI to their industry as the key differentiator. From real-time decision-making and breakthrough research to better customer service, AI is ready to amplify value and create new opportunities for businesses prepared to take advantage.
In this session, see how leading organizations are scaling AI solutions that enable them to adopt quickly and grow seamlessly meeting the needs of their business. The session will also discuss real life use cases of how organizations can accelerate time to value with predictive analytics and optimization.