NTT DATA and Google Cloud Join Forces to Propel AI Adoption in Asia Pacific

Enhanced Partnership Aims to Accelerate Digital Transformation in Healthcare, Finance, Retail, and More with Industry-Specific AI and Cloud Solutions.

Highlights

  • A new dedicated NTT DATA Google Cloud Business Unit will drive the development of industry-specific solutions.
  • The partnership focuses on key sectors, including healthcare, finance, retail, manufacturing, and the public sector.
  • NTT DATA aims to certify over 1,000 additional engineers in Google Cloud technologies within APAC.

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NTT DATA and Google Cloud Join Forces to Propel AI Adoption in Asia Pacific
NTT DATA has announced an expansion of its partnership with Google Cloud to accelerate the adoption of cloud-based data analytics and generative AI solutions for customers across key markets in the Asia-Pacific region. This collaboration combines NTT DATA's industry expertise and client base with Google Cloud's capabilities in data analytics, AI, and cloud technology, enabling enterprises to enhance innovation and operational efficiency.

Also Read: NTT DATA and Palo Alto Networks Expand Partnership to Launch AI-Powered Cybersecurity Service




Industry-Specific AI and Data Solutions

"With co-innovation at the core of this partnership, NTT DATA and Google Cloud aim to develop cloud-based data and AI solutions tailored to industry-specific needs. By using NTT DATA's existing industry blueprints, best practices and cloud solutions on Google Cloud, the partnership will deliver customised solutions and implementation expertise to businesses in healthcare, life sciences, financial services, insurance, manufacturing, retail and public sector," the companies said in a joint statement.

As part of the expanded partnership, a dedicated NTT DATA Google Cloud Business Unit will focus on developing joint solutions in data analytics, generative AI, and augmented support for applications, modern infrastructure, cybersecurity, and SAP on Google Cloud Platform (GCP).

Upskilling and Expanding Expertise

To support effective implementation, the partnership will enhance NTT DATA's in-house expertise in Google Cloud technologies through advanced training and certification programs, NTT DATA said.

NTT DATA plans to strengthen its in-house expertise by hiring and upskilling professionals in Google Cloud technologies, with a goal of certifying over 1,000 additional engineers in the APAC region. Currently, the company has 2,600 Google-certified engineers across 50 countries.

John Lombard, Chief Executive Officer, NTT DATA, APAC, added, "This expanded partnership brings together NTT DATA's expertise in digital transformation and deep-rooted understanding of APAC's diverse markets with Google Cloud’s unparalleled AI and cloud innovations. This isn't just about adopting new technologies; it's about reimagining what's possible for businesses in the AI age. Our partner ecosystem is a cornerstone of our growth strategy, and this collaboration with Google Cloud is expected to grow our cloud business in APAC by 10x+ in 3 years."

Karan Bajwa, Vice President, Google Cloud, APAC, commented, "Customer confidence is paramount to deliver on their digital transformation aspirations, and NTT DATA's comprehensive portfolio, coupled with a deep understanding of evolving customer needs across Asia Pacific, perfectly complements Google Cloud's AI leadership and innovative solutions."

"By combining NTT DATA's unique full-stack transformation portfolio with Google Cloud’s next-generation technologies, we are poised to accelerate our client’s digital modernisation priorities, particularly in areas like cloud, GenAI and cybersecurity," said Charlie Li, Senior Executive Vice President, Global Head of Cloud and Security Services, NTT DATA.

Also Read: TEKsystems and Google Cloud Partner to Drive AI and Cloud Transformation

This partnership aims to leverage high-quality data analytics to bolster generative AI deployments. NTT DATA said that by leveraging its technologies and Google’s data analytics, the company enabled a major retailer to grow digital inquiries by 22 percent and increase occupancy by 85 percent through the efficient use of extracted API data.

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