Tokyo/Silicon Valley — Global IT services leader NTT DATA has announced the appointment of Dr. Bratin Saha as the Chief Executive Officer of its newly established artificial intelligence-focused venture, NTT DATA AIVista Inc. The creation of this dedicated AI company marks a major strategic step in NTT DATA’s mission to become an AI-native enterprise and accelerate the development of cutting-edge AI products and solutions for clients worldwide.
Headquartered in Silicon Valley, AIVista will serve as NTT DATA’s central hub for AI innovation and commercialization, combining the company’s deep consulting expertise, global reach, and engineering capabilities with the speed and agility of a technology startup.
A Strategic Move Toward an AI-Led Future
The launch of NTT DATA AIVista reflects the company’s strong commitment to embedding artificial intelligence at the core of its business operations and client offerings. The new unit will focus on building AI-native platforms, generative AI applications, and scalable automation frameworks designed to enhance enterprise productivity and digital transformation across industries.
By positioning the venture in Silicon Valley — the global epicenter of AI innovation — NTT DATA aims to foster collaboration with top research institutions, technology partners, and startups to accelerate AI product development and adoption.
“AIVista will harness NTT DATA’s consulting strength, engineering depth, and global client base, while building AI-centered products with Silicon Valley speed,” the company said in a statement.
“This structure will help operating units across NTT DATA’s global network launch AI-enabled offerings faster and at scale.”
Dr. Bratin Saha: A Proven AI and Cloud Leader
Dr. Bratin Saha brings over two decades of leadership in artificial intelligence, cloud computing, and platform engineering to his new role. His career spans some of the world’s most influential technology organizations, where he has helped shape the future of enterprise AI.
Before joining NTT DATA, Dr. Saha served as Vice President of Product and Technology at DigitalOcean, where he played a pivotal role in expanding the developer cloud ecosystem and shaping its product innovation roadmap.
At Amazon Web Services (AWS), he led the AI and machine learning business, overseeing the development and growth of flagship services such as Amazon SageMaker and Amazon Bedrock, both of which have become foundational tools in enterprise AI adoption. Earlier in his career, Dr. Saha held senior technical positions at NVIDIA, where he focused on next-generation computing and AI systems development.
“Bratin brings a rare blend of experience across AI, cloud, and platform ecosystems,” said the company’s leadership. “His appointment reflects our intent to reorient NTT DATA for an AI-led future and deliver innovation at enterprise scale.”
A Vision for Enterprise AI Transformation
Speaking about his new role, Dr. Saha described the formation of AIVista as a unique opportunity to merge enterprise-grade reliability with cutting-edge AI innovation.
“AIVista represents a powerful opportunity to combine NTT DATA’s enterprise scale with advanced AI capabilities,” said Dr. Bratin Saha, CEO of NTT DATA AIVista. “Together, we can accelerate the next phase of digital transformation for clients globally — helping them adopt AI responsibly, efficiently, and at scale.”
Under his leadership, AIVista aims to bridge the gap between AI research and real-world enterprise implementation, focusing on solutions that enhance efficiency, sustainability, and customer experience.
An Academic and Technical Powerhouse
Dr. Saha’s academic and research credentials reinforce his position as one of the foremost voices in enterprise AI. He holds a Ph.D. in Computer Science from Yale University, has completed executive education programs at Harvard Business School, and is an alumnus of the Indian Institute of Technology (IIT).
He is also credited with an extensive portfolio of patents, research publications, and thought leadership contributions in the fields of AI infrastructure, distributed computing, and scalable machine learning systems.
