NTT DATA Launches AIVista in Silicon Valley, Names Bratin Saha CEO
On January 6, 2026, NTT DATA established a new AI company, NTT DATA AIVista, Inc., in Silicon Valley to accelerate AI-native business across its global group. The move brings together consulting, engineering, top-tier AI technology, and Silicon Valley talent to push client-relevant AI services into production faster.
"As the global acceleration towards an AI-based business model, the commercialization of advanced AI technology is a strategic necessity for NTT DATA," said Yutaka Sasaki, President & CEO of the NTT DATA Group.
Why this matters for executives
- NTT DATA is setting up a dedicated AI engine to move from pilots to scalable, revenue-producing AI services.
- Silicon Valley roots give AIVista direct access to talent, partnerships, and product velocity.
- Clients can expect tighter integration between strategy, build, and run-shortening time from idea to enterprise rollout.
Leadership: Bratin Saha to lead AIVista
Bratin Saha has been appointed CEO of AIVista, effective December 1, 2025. He has led fast-growing AI businesses and built multi-billion-dollar AI products at NVIDIA, AWS, and DigitalOcean-experience that will be used to speed launch, scale, and adoption in the enterprise market.
"Only a few companies are truly ready to lead the next wave of AI-based transformation, and NTT DATA is one of them. As an industry leader and innovator, NTT DATA has decades of experience in delivering reliable, scalable, and trusted mission-critical systems for the world's most complex companies," said Saha.
"I look forward to working with Bratin in our efforts to position NTT DATA as the leading AI-native service provider in the global industry," said Abhijit Dubey, President and CEO of NTT DATA, Inc.
What AIVista is set up to do
- Commercialize advanced AI research into enterprise-grade products and services.
- Bundle consulting, engineering, and AI platforms so clients can adopt at scale with clear ROI.
- Create a unified portfolio of AI-native solutions across the NTT DATA group to reduce fragmentation for clients.
What to watch next
- Speed of client deployments moving from proofs of concept to multi-country rollouts.
- Partnerships with chipmakers, model providers, and cloud platforms to expand capability and distribution.
- Senior technical hires in Silicon Valley and cross-border delivery models that improve cost and time-to-value.
- Clear governance and security standards baked into offerings for regulated industries.
Actions for strategy and operating leaders
- Identify 2-3 AI use cases with measurable P&L impact and assess whether a unified partner model (strategy + build + run) reduces execution risk.
- Set adoption KPIs: time-to-first-value, model performance thresholds, cost-to-serve trends, and change-management milestones.
- Tighten data access, privacy, and model evaluation processes now to shorten procurement and compliance cycles later.
- Upskill leaders and delivery teams so they can evaluate AI-native vendors and architectures effectively. For curated options by role, see AI courses by job.
Learn more about the company at NTT DATA.
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