AI for Growth | Moving beyond the hype: How to make your data AI-ready
Many organizations treat new AI trends as a quick technical fix. They spend massive amounts of time and budget modernizing their data platforms, only to hit the same familiar roadblocks: data silos, overworked IT teams, and frustrated business leaders.
To get real value from AI, we need to look past the basic technology upgrades. Modern AI needs to work with a massive variety of data and deeply understand the actual context of your business. For AI tools to act reliably and independently, they require immediate access to trustworthy information.
Join Codento for a practical, 60-minute webinar based on real-world experience. We are skipping the marketing buzzwords to show business and technical leaders exactly how to turn your data into actual business action.
Webinar Details:
- Date: Friday, August 21, 2026
- Time: 09:00 – 10:00 CET | 10:00 – 11:00 EET
- Platform: Webinar, Google Meet (Link provided upon registration)
- Recording: Will be provided afterwards to all registered
What you will learn live in August:
- From Data Engineering to Context Engineering
Data Teams’ work is now also being consumed by agents, which changes both the data sources that can be ingested and how that data is consumed. With the ability of agents to sift through massive amounts of data, as well as the ability of LLMs to handle unstructured data more easily introduces changes across the spectrum of data platform management and building.
- How to evaluate your organization’s readiness
Is your organization prepared for the rapid changes required for agents to act across business domains with proper context? We break down how to empower your data and business teams to curate the “Data Fuel” that grounds autonomous agents and will provide a practical framework to assess whether your organization’s data estate is actually ready to support autonomous agents.
- How data leaders can act on this?
While organizations are looking to implement the newest data technology, the decisions need to be informed by the problems it will solve. This part is similar to previous data solutions, but the set of solvable problems has drastically changed. Even more so than with analytics solutions, context curation must be an organizational collaboration, not just an exercise for data teams.
This Live Session is Designed For:
- Chief Data Officers (CDOs), CIOs, & Data Architects who want to stop building centralized architectures that struggle to support the real-time demands of agentic AI.
- Business Leaders & Domain Directors (Finance, Operations, Products) who want to reduce dependency on central IT and lead domain-driven AI initiatives using verified enterprise context.
- Enterprise Executives ready to transition their organization from a reactive, siloed culture to a proactive, agent-enabled market leader.
“As companies adopt AI and Agents, having access to the right data and context is key. This puts pressure on rethinking how to architect our data platforms to cope with this new reality”
— Daniel Tidström, Senior Partner, Codento Sweden