Big Data and AI World 2026

Topics

• Data architecture and databases
• Data management and integration
• BI and data discovery
• Analytics, dataops and decision-making
• Data and the customer
• Data privacy, data security and regulation
• Data-centric culture and talent
• Data quality and governance
• Cloud, storage and data platforms
• RPA, AI and ML
• Responsibility for security
• Applications of deep learning
• Process of automation and the human factor
• CX and immersive tech
• Growth of AIOPS
• Enterprise ai and in-house skills
• Augmented and predictive analytics