8:20 AM

9:10 AM

Registration Opens

9:15 AM

9:25 AM

Welcoming Notes and Orientation
Plenum

9:30 AM

9:40 AM

Chairman’s Opening Remarks
Plenum

9:40 AM

10:00 AM

Future Outlook Session
Plenum

10:05 AM

10:25 AM

KEYNOTE | Building an AI-Driven Enterprise: Strategies for Integrating AI Agents Across Business Functions
Plenum

10:30 AM

10:50 AM

KEYNOTE | Transformative Data Platforms: Navigating the Shift from Traditional systems to Modern Data Ecosystem
Plenum

10:50 AM

11:20 AM

Networking Coffee & Peer-to-Peer Meetings

11:20 AM

11:30 AM

Moderator's Opening Remarks
[M1] - AI Value & Strategy Stage

11:20 AM

11:30 AM

Moderator's Opening Remarks
[M2] - Modern Data Strategy Stage

11:20 AM

11:30 AM

Moderator's Opening Remarks
[M3] - Business & Data Analytics Stage

11:20 AM

11:30 AM

Moderator's Opening Remarks
[M4] - Machine Learning & Generative AI Stage

11:30 AM

11:50 AM

Aligning Generative AI Initiatives with Core Business Objectives: A Strategic Approach
[M1] - AI Value & Strategy Stage

11:30 AM

11:50 AM

Federated Data Management Strategies for Managing Decentralized Data Sources
[M2] - Modern Data Strategy Stage

11:30 AM

11:50 AM

How to go beyond data-driven insights to embrace decision-centric practices
[M3] - Business & Data Analytics Stage

11:30 AM

11:50 AM

Harnessing the Power of AI Through Foundation Models for Enterprise Applications
[M4] - Machine Learning & Generative AI Stage

12:00 PM

12:20 PM

What Are The Common Pitfalls In Ai Implementation And How Can They Be Avoided?
[M1] - AI Value & Strategy Stage

12:00 PM

12:20 PM

Distributed Federated Architectures Designing for Scalability and Flexibility
[M2] - Modern Data Strategy Stage

12:00 PM

12:20 PM

What emerging technologies are shaping the future of self-service business analytics?
[M3] - Business & Data Analytics Stage

12:00 PM

12:20 PM

Customizing Generative AI with Proprietary Data for Enhanced Performance
[M4] - Machine Learning & Generative AI Stage

12:30 PM

12:50 PM

What Strategies Can Be Used To Manage Unrealistic Expectations About Ai?
[M1] - AI Value & Strategy Stage

12:30 PM

12:50 PM

Data Lakehouse Design: Combining Flexibility with Performance
[M2] - Modern Data Strategy Stage

12:30 PM

12:50 PM

How can augmented analytics empower business users with AI driven insights?
[M3] - Business & Data Analytics Stage

12:30 PM

12:50 PM

Data-Centric Approach vs Model-Centric Approach in Machine Learning
[M4] - Machine Learning & Generative AI Stage

1:00 PM

1:20 PM

How Can Companies Ensure Proper Integration Of Ai With Existing Systems
[M1] - AI Value & Strategy Stage

1:00 PM

1:20 PM

Developing Data Products as Strategic Assets in Data-Driven Organizations
[M2] - Modern Data Strategy Stage

1:00 PM

1:20 PM

How is real time analytics transforming data into instant business value?
[M3] - Business & Data Analytics Stage

1:00 PM

1:20 PM

Preventing Model Degradation Through Effective Fine-Tuning and Retraining Strategies
[M4] - Machine Learning & Generative AI Stage

1:20 PM

2:20 PM

Networking Lunch

1:20 PM

2:20 PM

Technology in practice Sessions

2:20 PM

2:40 PM

Measuring AI Impact: Metrics and KPIs for Tracking Business Value
[M1] - AI Value & Strategy Stage

2:20 PM

2:40 PM

Strategic Considerations for Structuring Data Teams: Balancing Centralization with Decentralization
[M2] - Modern Data Strategy Stage

2:20 PM

2:40 PM

In what ways is natural language processing revolutionizing business intelligence interfaces?
[M3] - Business & Data Analytics Stage

2:20 PM

2:40 PM

Achieving AI Reproducibility in the Enterprise by Leveraging MLOps Best Practices
[M4] - Machine Learning & Generative AI Stage

2:50 PM

3:10 PM

Building a Scalable AI Infrastructure Roadmap for Enterprise-Wide Deployment
[M1] - AI Value & Strategy Stage

2:50 PM

3:10 PM

Evolving Data Architectures: Integrating Real-Time and Batch Processing
[M2] - Modern Data Strategy Stage

2:50 PM

3:10 PM

How does edge analytics bring computation closer to data sources?
[M3] - Business & Data Analytics Stage

2:50 PM

3:10 PM

Testing and Validating AI Models: Frameworks for Reliable Deployment
[M4] - Machine Learning & Generative AI Stage

3:20 PM

3:40 PM

Balancing Innovation and Risk Management in Generative AI Implementation
[M1] - AI Value & Strategy Stage

3:20 PM

3:40 PM

Designing and Managing Data Ecosystems for Cross-Organizational Collaboration and Innovation
[M2] - Modern Data Strategy Stage

3:20 PM

3:40 PM

What are the benefits of cloud native analytics in achieving scalability and flexibility?
[M3] - Business & Data Analytics Stage

3:20 PM

3:40 PM

Implementing Monitoring Workflows for Machine Learning Models in Production
[M4] - Machine Learning & Generative AI Stage

3:40 PM

4:10 PM

Networking Coffee & Peer-to-Peer Meetings

4:10 PM

4:30 PM

Developing a Roadmap for Long-Term Value Creation with Generative AI
[M1] - AI Value & Strategy Stage

4:10 PM

4:30 PM

Strategic Implementation of Active Metadata Management to Enhance Data Governance and Lineage
[M2] - Modern Data Strategy Stage

4:10 PM

4:30 PM

How can prescriptive analytics move us from prediction to actionable recommendations?
[M3] - Business & Data Analytics Stage

4:10 PM

4:30 PM

Transformers and Their Impact on Generative and Predictive AI
[M4] - Machine Learning & Generative AI Stage

4:40 PM

5:00 PM

Continuous Learning and Adaptation: Maintaining AI Models for Long-Term Success
[M1] - AI Value & Strategy Stage

4:40 PM

5:00 PM

Data Sharing Strategies for Cross-Industry Collaboration and Innovation
[M2] - Modern Data Strategy Stage

4:40 PM

5:00 PM

How can ethical AI ensure fairness and transparency in predictive models?
[M3] - Business & Data Analytics Stage

4:40 PM

5:00 PM

Measuring Accuracy of Your Rag Based LLM System
[M4] - Machine Learning & Generative AI Stage

5:10 PM

5:30 PM

Chairman's Closing Remarks in the Plenum Area
Plenum

5:30 PM

6:10 AM

Data After Dark