Data & Analytics Live schedule

• Why most enterprises still struggle to move beyond dashboards 

• The hard truth: aligning data, culture, and leadership is still the #1 roadblock 

• Where organizations are actually seeing ROI from AI and analytics (vs. hype) 

• What leaders must do in 2026 to avoid being left behind by autonomy, regulation, and disruption 

Session Description  

Most AI analytics platforms force enterprises into an impossible choice: adopt cloud-only solutions that compromise data governance and security policies, or forgo AI capabilities entirely. For organizations with on-premises infrastructure, regulatory requirements, or data sovereignty mandates, this isn't a choice at all—it's a barrier to innovation. 

In this session, you'll discover:  

• Why infrastructure inflexibility kills AI adoption: The hidden deployment gap causing AI pilot failures in regulated industries, and why most vendors can't solve it with cloud-only architectures  

• AI analytics without architectural compromise: How Logi Symphony delivers full AI-driven analytics across any environment: cloud, on-premises, hybrid, or selfhosted, so you maintain complete control over where your data lives and how it's processed  

• Breaking the AI data access bottleneck: How Simba Intelligence solves the cloudonly trap that plagues most AI query tools, providing LLM-agnostic data connectivity across any deployment model without forcing infrastructure changes or vendor lock-in   

• Real-world deployment scenarios: From regulated industries requiring air-gapped environments to global enterprises managing multi-cloud strategies, see how organizations achieve AI intelligence without sacrificing infrastructure control 

The most powerful AI analytics strategy isn't about choosing between intelligence and control. It's about platforms flexible enough to deliver both, wherever your data needs to be. 

• Meeting regulatory demands across North America and globally 

• Wrestling with bias, explainability, and transparency under scrutiny 

• Can innovation survive compliance — or is compliance now the innovation? 

Gopal Renganathan, Senior Director, Data & Analytics – ANYWHERE REAL ESTATE INC. 

Navneet Tyagi, Senior Software Engineer- FINANCE OF AMERICA 

Akhil Khunger, VP Quantitative Analytics – BARLCAYS 

Shubhankar Shilpi, Software Engineering Director II – TRUIST BANKS 

• Real deployments across healthcare, finance, and retail: what worked, what failed 
• Risks, costs, and success frameworks for scaling responsibly 
• How leaders should prioritize investment when budgets are tight 

Session Overview: 

• How Organization built its LLM tools to accelerate content creation across regions and languages 

• The data and analytics backbone behind AI content workflows — from multilingual datasets to performance measurement 

• Inside Agentic AI journey: how autonomous systems generate, translate, and evaluate content before human review 

• Balancing automation and quality — where human-in-the-loop ensures brand consistency and trust 

• Lessons learned in governance, evaluation, and data-driven decisioning while scaling AI globally 

• Exclusive, interactive dialogue among senior executives 

• How leaders balance innovation, ethics, and organizational alignment 

• Building long-term resilience in an AI-driven economy 

Edgar Nunez, Chief Data Officer – COCA COLA FEMSA 

Troy Howard, Vice President, Data Governance Manager – BANK OF AMERICA 

Akhil Khunger, VP Quantitative Analytics – BARLCAYS 

Farid Sheikhi, Senior Manager, Analytics Innovation & Data Enablement - RBCx.  

Jayson VanHook, Associate Vice President of Data Strategy and Chief Data Officer – UNIVERSITY OF NORTH GEORGIA 

Benjamin Donlon, Chief Operating Officer – Thumbprint  

Scott McKenzie, Chief Technology Officer – Fort Vermilion School Division 

Bickkie Solomon, Director of Pharmacy / Residency Program Director PGY2 HSPAL - HCA FLORIDA NORTH FLORIDA HOSPITAL 

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