Work with data scientists and AI experts to drive digital transformation by identifying and piloting AI use cases to a production worthy level.
Discuss feasibility and architectural design with business teams, converting business leaders' visions into practical technical solutions while identifying misaligned initiatives.
Collect input from various stakeholders, such as business users, data scientists, security experts, data engineers, analysts, and IT operations.
Develop processes and products that align with these inputs and meet both current and future requirements.
Define the AI architecture and select appropriate technologies from a mix of open-source and commercial options.
Choose deployment models (cloud, on-premises, or hybrid) that best fit your needs and ensure seamless integration with existing data management and analytics tools.