Recent advancements allow for direct connections between AI models and databases, simplifying processes and eliminating the need for traditional connectors in enterprise software.

The architecture of applications is evolving with AI, leading to a separation of business logic from data management, which will change how applications are built and orchestrated.

The future of AI tools lies in their ability to reason and process unstructured data, moving beyond traditional database-driven applications to more intuitive and flexible systems.

The trend of Data Centric AI allows businesses to provide data instead of writing extensive code, making AI implementation more feasible.

Data is the new user interface for AI, and having highly curated data is crucial for achieving great outcomes with AI agents.

The integration of AI with real data is powerful. We're starting to see how AI can operate as an assistant in people's lives, integrating with various data sources and becoming a central part of daily tasks.

Our business evolved to include AI-based applications and agentic workflows for enterprises and government customers, moving beyond just data production.

I believe employee data will become central to business software, enabling the development of many applications around that understanding.

As AI technology matures, enterprises are increasingly willing to trust these systems with their data, leading to a greater adoption of AI solutions.