Can AI make enterprise data development measurably more efficient?
At Dr. Max, introducing AI into data delivery processes has already resulted in a 24% efficiency gain across the data team. Discover how the company identifies opportunities for AI automation, measures the results, and prepares to scale successful use cases across its international operations.
About the webinar
Dr. Max is transforming six legacy data warehouse environments into a single global data platform. With multiple countries, development teams, and technology partners involved, efficiency, scalability, and consistent delivery standards are essential.
As part of this transformation, the company is introducing AI into its Software Development Lifecycle (SDLC) to reduce development effort, improve quality, and eliminate bottlenecks.
At Adastra’s CDO Advisory Board, Martin Beneš from Dr. Max and Marius Maslo from Adastra shared how they approach AI-assisted data delivery in practice. Rather than simply providing AI tools to every developer, Dr. Max analyzed its delivery processes, identified around 80 opportunities for improvement, and began developing reusable AI capabilities based on their measurable impact.
The results are already tangible. AI-assisted quality checks that previously took several hours can now be completed in tens of minutes, and the data team has achieved an approximately 24% efficiency gain.
The workshop also explores how AI is changing collaboration between customers and technology partners—and why traditional time-and-materials delivery models may need to evolve.
What You’ll Learn
How to identify where AI delivers measurable efficiency gains
Why Dr. Max started by mapping its entire development lifecycle, measuring existing effort, and prioritizing opportunities with the greatest expected impact.
How AI can accelerate data development and quality assurance. Practical examples of reducing manual work, improving consistency, and removing bottlenecks from delivery processes.
How to scale AI capabilities across development teams
Why Dr. Max is building a governed library of reusable AI skills rather than leaving individual developers to create their own solutions.
How to measure the real business case for AI-assisted delivery
What the measured 24% efficiency gain represents and why the costs of developing, operating, and running AI capabilities must also be considered.
How AI could change IT delivery models
Why increasing productivity raises new questions about vendor pricing, responsibilities, and the shift from selling development capacity to delivering measurable outcomes.
Who Should Watch?
This recording is particularly relevant for CDOs, CIOs, CTOs, Heads of Data and Analytics, IT delivery managers, and technology leaders looking to improve development efficiency, scale AI adoption, and evaluate the business impact of AI-assisted delivery.
Ready to Make Data Delivery More Efficient with AI?
Watch the recording from Adastra’s CDO Advisory Board and learn how Dr. Max is introducing AI into its development processes, measuring efficiency gains, and preparing to scale its approach.
