Databricks Migration from a Leadership Perspective: How to Get Started
More data ≠ faster decisions. How data becomes reliable, auditable business insight with Databricks – and how to get started.
More data ≠ faster decisions. How data becomes reliable, auditable business insight with Databricks – and how to get started.
AI and Databricks in practice: our workshop focused on real-world examples and solutions, with detailed presentations on AI-assisted testing, DWH-Databricks migration, and AI-assisted SDLC.
We have signed a partnership agreement with Databricks, the developer of a leading cloud-based Data Intelligence platform
AI can improve efficiency in many areas of business operations, including software development and testing, the standardization and transformation of various unstructured data, and customer service.
AI in software development? Today, that’s no longer a question.
The question is “how.” Instead of simple code generation, it’s worth thinking about the entire development lifecycle.
We attended the conference of the Hungarian National Bank and the Hungarian Chamber of Commerce and Industry, where we received the Hungarian Innovator badge.
AI can improve efficiency in many areas of business operations, including software development and testing, the standardization and transformation of various unstructured data, and customer service.
Let us share the key learnings from a complex US-based software development project, working with distributed teams across six time zones.
In this post, our expert summarizes the different directions of cloud-native backend architectures, along with their recommended use cases.
In this post, we share the challenges and key learnings of an AI chatbot development project.