Agenda

Key Opening Remarks

H.E. Dr. Suhel Ajaz Khan

Ambassador of India

Kingdom of Saudi Arabia

Shaping Tomorrow’s Vision: Crafting Advanced Data Architecture for Organizational Adaptability

• Embedding data sovereignty and governance principles to align with national priorities like Vision 2030
• Creating adaptive architectures that support real-time analytics, AI integration, and sector-wide digital transformation
• Enabling resilience and scalability to future-proof organizations against regulatory shifts and emerging technologies

Kamaludeen Mohamed

Director - BI and AI, Tawakkalna

Saudi Data and AI Authority (SDAIA)

End to End Observability for AI, LLM and Agentic Workloads

• Performance Optimization: Dynatrace’s AI Observability enhances Generative AI and LLM applications by monitoring metrics like token cost and request duration, using Davis® AI to predict and manage costs, and improving response times through trace analysis
• Trust and Safety: Dynatrace ensures quality and compliance by monitoring guardrail metrics to detect biases, hallucinations, and misuse, while maintaining full data lineage for audit trails and regulatory compliance
• Full-Stack Visibility: Provides end-to-end tracing across LLMs, RAG pipelines, and agentic frameworks, enabling root cause analysis and proactive issue resolution to ensure seamless user experiences

Ali El Meshmeshy

Lead Solutions Engineer

Dynatrace

Accelerate Your Enterprise AI Journey with Data Agents

• Focus: Shifting from generative AI to a new era of enterprise-ready, agentic AI for business transformation
• Challenges: Addressing key hurdles in AI implementation, including complexity, data readiness, and security
• Solution: Discover how Snowflake makes enterprise AI “easy, connected, and trusted” with its Cortex AI features, providing a fully managed platform that ensures accuracy and governance for building and scaling AI data agents

Aamer Mushtaq

Head of Solution Engineering, META

Snowflake

The Future is Denodo Logical: Powering Innovation with A Unified Semantic Data Layer and AI

• Integrate faster and smarter with a logical data layer that unifies diverse data sources across cloud, hybrid, and on-prem environments — without replication or vendor lock-in
• Establish a semantic foundation to support trusted, explainable AI through metadata tagging, contextual enrichment, and policy-driven data access
• Accelerate AI adoption by enabling Retrieval-Augmented Generation (RAG) and real-time insights, while ensuring compliance and security across the data ecosystem

Alexey Sidorov

Chief Evangelist Middle East

Denodo

Empowering Business Decisions with Data & Analytics Solutions

• Data and Analytics Portfolio
• Data Driven Organization
• Data and Analytics offerings

Dr. Waleed Hassan

Director – Data Consultancy, Architecture and Modeling Department

Ejada Systems

From AI Agents to the Agentic Spectrum: Redefining Autonomy in Artificial Intelligence

• The shift from AI Agents to an Agentic Spectrum or continuum
• Voice remains relevant for a number of reasons
• Renewed focus on the Arabic language

Cobus Greyling

Chief Evangelist

Kore.ai

Unlocking Business Potential: Overcoming Analytics Adoption Barrier with Gen AI

• The Challenge: Despite a clear vision for a data-driven culture, most employees struggle with analytics due to friction (instinct-driven decisions), literacy (difficulty in self-service), and trust (lack of confidence in data)
• The Opportunity: Generative AI, with its natural language interface, can democratize access to insights—if combined with the precision of Business Intelligence (BI) and strong data governance
• The Session: This presentation will share advanced strategies and best practices to overcome barriers to analytics adoption, harness Generative AI as a trusted tool, and foster an organizational culture of informed decision-making

Rishi Mathur

Sales Engineer Manager

Strategy

Ranjith Somasundaram

Sales Engineer

Strategy

Innovative Data Strategies Shaping the Future of Businesses: Building Tailored and Adaptive Journeys

• Emphasizing the value of unifying data from diverse touchpoints and channels to deliver a consistent and integrated experience
• Leveraging AI and analytics to proactively identify business / consumer needs and preferences before they are explicitly communicated
• Exploring how real-time data insights empower businesses to adapt and customize end-user engagements dynamically

Moderator

Praveen Kokku

Managing Director

Protiviti

Ulysses Demos

Sr. Director Data Management and Protection Office

Red Sea Global

Anwar AlMussabbih

Data Management Office & Business Insights Manager

Confidential

Theeb Alqahtani

Senior Director of Data Management Office

Takamol Holding Company

Revolutionizing Capital Portfolio Management with AI-Powered Predictive Analytics

• Utilizing Artificial Intelligence (AI) and Data Engineering to provide predictive analytics to forecast and predict project performance health
• The importance of Data Management in enhancing portfolio management to improve performance, reduce risk, and increase efficiency
• Analyzing and visualizing large amounts of data through dashboards to provides real-time project updates to perform actionable data-driven decisions

Fatimah AlGhanam

Capital Portfolio Performance Analysis Lead

Aramco

Women in AI: Redefining Innovation and Leadership Across Emerging Tech

• Demonstrating the importance of inclusivity and representation as key drivers of ground-breaking advancements in artificial intelligence and technology
• Highlighting the transformative influence of women leaders, reshaping organizational leadership, steering pivotal strategies, and moulding the future of AI-driven industries
• Exploring ground-breaking contributions by women in AI, catalysing revolutionary shifts across diverse sectors and spearheading industry-wide transformation

Imene Mecheter

Data Science Manager

Iberdrola