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Building AI workstations for data & analytics engineers: Follow Kramp's journey
Oliver Meisch
Head of Data
AI workstations have proven their value for software engineers, but what happens when you apply the same concept to data and analytics professionals?
In this keynote, Oliver Meisch, head of data at Kramp, shares the journey of building an AI workstation specifically for data & analytics engineers, from initial experiments to a solution used in practice. Discover how Kramp approached this challenge, which choices they made, and how AI is being integrated into everyday data work. With real-world examples, Oliver will share the lessons learned, the impact so far, and what’s next.
Vincent Meijers
Product Owner
AI workstations have proven their value for software engineers, but what happens when you apply the same concept to data and analytics professionals?
In this keynote, Oliver Meisch, head of data at Kramp, shares the journey of building an AI workstation specifically for data & analytics engineers, from initial experiments to a solution used in practice. Discover how Kramp approached this challenge, which choices they made, and how AI is being integrated into everyday data work. With real-world examples, Oliver will share the lessons learned, the impact so far, and what’s next.
AI workstations have proven their value for software engineers, but what happens when you apply the same concept to data and analytics professionals?
In this keynote, Oliver Meisch, head of data at Kramp, shares the journey of building an AI workstation specifically for data & analytics engineers, from initial experiments to a solution used in practice. Discover how Kramp approached this challenge, which choices they made, and how AI is being integrated into everyday data work. With real-world examples, Oliver will share the lessons learned, the impact so far, and what’s next.
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