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NTT DATA and Google Cloud join forces for AI transformation

Published

3 weeks ago

August 13, 2025

NTT DATA and Google Cloud have announced a global partnership to accelerate AI-driven cloud solutions for businesses. The focus will be on agentic AI solutions that will transform industries such as financial services, healthcare, and government.

The partnership combines NTT DATA’s expertise in AI and data engineering with Google Cloud’s analytics and AI technologies. Together, the parties aim to deliver customized solutions based on proven frameworks and best practices.

To ensure the success of the partnership, NTT DATA has established a dedicated Google Cloud Business Group. This group consists of thousands of engineers, architects, and consultants who work closely with Google Cloud teams.

The company is also investing heavily in training and certification. NTT DATA aims to certify 5,000 engineers in Google Cloud technology. This should further strengthen the company’s role as a global leader in cloud transformation.

Industry-specific AI agents

NTT DATA focuses on developing AI agents for different sectors. In financial services, the collaboration should help with regulatory compliance and reporting through NTT DATA’s Regla solutions. These use Google Cloud’s scalable AI infrastructure.

For the hospitality sector, NTT DATA has developed a Virtual Travel Concierge. This AI agent improves the customer experience with 24/7 multilingual support, real-time travel planning, and intelligent recommendations. The system uses Google’s Gemini models and processes more than 3 million conversations per month.

Takumi as an AI framework

At the heart of the innovation strategy is Takumi, NTT DATA’s GenAI framework that guides customers from idea to enterprise-wide implementation. Takumi integrates seamlessly with Google Cloud’s AI stack and enables rapid prototyping and operationalization of GenAI use cases.

This initiative expands NTT DATA’s Smart AI Agent Ecosystem. This ecosystem unites strategic technology partnerships, specialized assets, and an AI-ready talent pool to help customers implement responsible, business-focused AI at scale.

The focus is on four key areas: industry-specific agentic AI solutions, AI-driven cloud modernization, application and security modernization, and sovereign cloud innovations. For the latter, both parties are leveraging Google Distributed Cloud in both offline and online environments.

Both companies are jointly investing in global sales and go-to-market campaigns to accelerate customer adoption in priority sectors. By combining technical expertise with sales and marketing, the parties aim to roll out transformative solutions across global markets efficiently.

Tip: NTT DATA launches agentic AI for customer and employee experience

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Related Topics:Agentic AI cloud computing Gemini Google Cloud NTT Data Takumi

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August 30, 2025

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iShares Future AI & Tech ETF (NYSEARCA:ARTY) Surges 27.6% in 2025 — Is It a Buy?

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2 hours ago

August 30, 2025

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Emperor Musk’s AI Clothes – Will Lockett’s Newsletter

Published

3 hours ago

August 30, 2025

Will Lockett

Musk has been parading around in his AI clothes for a while now. With the amount he screams and shouts about AI, you’d think he invented it. Of course, like everything else Musk peddles, he had nothing to do with its invention or development, except for underpaying and overworking his engineers and being an awful, overpromising PR man. However, people aren’t just noticing that Musk’s clothes are non-existent — they are also starting to point and laugh at his skid marks and the “I Love the Nazi Man” tattoo down his back. Why? Because he just can’t seem to get his AI up and working. And there is no little blue pill to remedy this situation.

Take, for example, Tesla’s hilariously crap Robotaxi rollout. The media at large is only just cottoning on to it being a huge PR stunt.

I have gone on ad nauseam about why Tesla’s self-driving cars are completely inadequate, so if you want to know the details, read my previous article here. But the helicopter view is that, unlike other autonomous vehicles, Tesla’s system has zero redundancy or safety nets and requires a nearly 100% accurate AI — which categorically can’t exist — to be even remotely safe.

Tesla is painfully aware of this fatal flaw, with Tesla engineers whistleblowing their concerns about it to the media (read more here) and the DOJ opening an investigation (read more here). So I, along with countless other commentators, was pretty damn relieved to find out that Tesla’s Robotaxis had safety drivers. There was even mention of remote workers being able to take control of the car and drive it safely in the case of a critical disengagement.

But this kind of system isn’t impressive enough for Musk. Any Uber or Lyft driver with a Tesla who wastes their money on FSD can do the exact same thing. There is no social or investor kudos to be gained for Tesla or Musk here. And here is a hint: Musk doesn’t make money from Tesla sales. After all, his $50 billion pay packet (which is now less, thanks to Musk tanking Tesla’s valuation) was the equivalent of him getting $10,000 for every Tesla ever sold! Tesla makes substantially less profit from every car sold than that.

So, what do you do if you have bet your entire company’s valuation on autonomous technology that you simply can’t deliver on?

Fudge it.

Tesla put the safety driver in the passenger seat! Because, look, it’s a self-driving car — there is no one in the driver’s seat!

This is a dangerous move that offers no benefit other than optics.

Rather than being able to properly take over the car and drive it to safety, the only thing these safety drivers could do was press a button to bring the vehicle to a stop. Which, as anyone with a driving licence will tell you, is not always the safest option! Particularly when you consider that Robotaxis have been spotted driving into lanes of oncoming traffic.

Yet, this bafflingly shite decision wasn’t really reported on. Or at least it wasn’t until a video surfaced a few days ago that showed FSD failing and a safety driver being forced to exit the vehicle in the middle of traffic to take the driver’s seat and regain control. (watch it here).

This shows just how wildly dangerous Tesla’s Robotaxis are.

The safety driver had to take a serious risk to take control of the car. Not only that, but this incident suggests there are no remote operatives capable of taking over when things go wrong. That has been a core safety feature of all developing self-driving ride-hailing services, such as Waymo and Cruise, since day one and is routinely used to keep passengers safe. The fact that this is absent for Robotaxis, which Tesla already know have a far, far higher critical disengagement rate than any other self-driving ride-hailing service, could easily be seen as insanely negligent.

Musk is comfortable putting other people — not just the safety driver, but paying passengers and the public — in danger, all for a crappy PR stunt to cover up how bad his self-driving system actually is. And the media at large, as well as public consensus, are beginning to catch up to this horrifying fact.

However, Musk’s AI woes go far, far deeper than that.

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