The Missing Ingredient in AI Success: Real-Time Business Context

Watch On-Demand

Over the past few years, organisations have invested heavily in data platforms, analytics, and AI. Yet many are still struggling to move AI initiatives into production because the data powering their applications and models is incomplete, stale, or disconnected from operational reality.

The next frontier is not simply collecting more data. It is providing AI systems, applications, and decision-makers with the right context at the right moment.

Join Martijn Kieboom for this On-Demand webinar exploring one of the most significant trends shaping the future of enterprise data: the rise of context-aware architectures and data in motion. Learn how leading organisations are enriching real-time data with business context to power smarter decisions, improve customer experiences, accelerate operations, and create AI systems that can respond to events as they happen.

Drawing on examples from various industries like financial services, retail, or transport, we'll examine how organisations are moving beyond traditional batch-based architectures to deliver trusted, real-time context across their data and AI ecosystems.

Key topics we'll cover

• Why many AI initiatives fail despite significant investments in data platforms
• The growing importance of context engineering in the age of AI and intelligent agents
• How real-time data can complement existing investments in lakehouses, data warehouses, and AI platforms
• Industry use cases that benefit from context-aware, event-driven architectures
• Strategies for creating AI-ready foundations that connect operational systems, analytics, and business processes in real time

Who should attend?

• Chief Data Officers, Chief Information Officers, Chief Technology Officers
• Heads of Data & Analytics, Data Platform Leaders, Data Engineering leaders
• AI & Digital Transformation Leaders
• Data architects and platform engineers designing and building real-time systems
• Developers and technical teams adopting agentic AI