NTT DATA GAO Tech Hub

What right tool stack do I use based on the requirements to build an ecosystem of services?

How easily can I implement newer technologies without a lot of rework?

How do I integrate with my knowledge stores and build a data pipeline for GenAI?

How can I enable a modular and composable architecture for my GenAI assets?

What best strategies can I use to prepare the data for optimal LLM response?

How do I ensure my design choices will scale for the enterprise?

Where can I access knowledge repositories around reference architectures and best practices of GenAI?

Where can I access prototype implementations of latest breakthroughs in GenAI?

How do I build and run GenAI use cases in a cost-effective manner guided by best practices and tried and tested methods?

What minimal skillset should my team develop to build GenAI use cases?

How can I easily build components to test concepts, validate results, deploy at a small scale and eventually scale for enterprise?

How do I ensure there are strict Data Security and Privacy measures in my GenAI implementations?

How easily can I embed my existing applications, platforms with GenAI capabilities?

Where can I access demos and prototypes of successful implementations of GenAI use cases in a central hub?

How do I speed up the review and approval of GenAI implementations based on the underlying architectural components used?

How do I ensure that standardized frameworks for GenAI are followed for every implementation across the organization?

How do I ensure there are strict Data Security and Privacy measures in place for sensitive information throughout the data pipeline?

How can I seamlessly audit GenAI implementations at scale across the org. for data security, privacy and responsible AI?

Where can I access knowledge repositories around reference architectures and best practices of GenAI?

How can I access demos and prototypes of successful implementations of GenAI use cases?