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Tahawul Tech
42 minutes ago
- Tahawul Tech
NTT DATA and Google Cloud to accelerate Agentic AI adoption, cloud modernisation
NTT DATA, a global leader in digital business and technology services, today announced a global partnership with Google Cloud to accelerate AI-powered cloud innovations and unlock new possibilities with AI for enterprise organisations across industries. This collaboration combines NTT DATA's deep industry expertise in AI, cloud-native modernisation, and data engineering with Google Cloud's advanced analytics, AI, and cloud technologies to deliver tailored, scalable enterprise solutions. With a focus on co-innovation, the partnership will drive industry-specific cloud and AI solutions, leveraging NTT DATA's proven frameworks and best practices along with Google Cloud's capabilities to deliver customised solutions backed by deep implementation expertise. Significant joint go-to-market investments will support seamless adoption across key markets. Murray Campbell, SVP for Cloud and Security in MEA for NTT DATA, on this global announcement said, 'With our new Google Cloud Business Group, we're making it much easier for businesses across MEA to access the expertise they need to move faster, innovate more, and stay competitive.' 'We're already seeing strong interest from retail clients who want to use AI to improve customer experiences and run their operations more efficiently. This is a big step forward for digital transformation in the region.' According to Gartner, worldwide end-user spending on public cloud services is forecast to reach $723 billion in 2025, up from $595.7 billion in 2024.1. The use of AI deployments in IT and business operations is accelerating the reliance on modern cloud infrastructure, highlighting the critical importance of this strategic global partnership. 'This collaboration with Google Cloud represents a significant milestone in our mission to drive innovation and digital transformation across industries,' said Marv Mouchawar, Head of Global Innovation, NTT DATA. 'By combining NTT DATA's deep expertise in AI, cloud-native modernisation and enterprise solutions with Google Cloud's advanced technologies, we are helping businesses accelerate their AI-powered cloud adoption globally and unlock new growth opportunities.' 'Our partnership with NTT DATA will help enterprises use agentic AI to enhance business processes and solve complex industry challenges,' said Kevin Ichhpurani, President, Global Partner Ecosystem at Google Cloud. 'By combining Google Cloud's AI with NTT DATA's implementation expertise, we will enable customers to deploy intelligent agents that modernise operations and deliver significant value for their organisations.' Driving AI innovation across industries NTT DATA will leverage Google Cloud technology to develop several industry-specific AI and cloud solutions, accelerating enterprise transformation across sectors including banking, insurance, manufacturing, retail, healthcare, life sciences and the public sector. For example, in financial services, this collaboration will support regulatory compliance and reporting through NTT DATA solutions like Regla, which leverage Google Cloud's scalable AI infrastructure. In hospitality, NTT DATA's Virtual Travel Concierge enhances customer experience and drives sales with 24×7 multilingual support, real-time itinerary planning and intelligent travel recommendations. It uses the capabilities of Google's Gemini models to drive personalisation across more than 3 million monthly conversations. Key focus areas include: Industry-specific agentic AI solutions: NTT DATA will build new industry solutions that transform analytics, decision-making and client experiences using Google Agentspace, Google's Gemini models, secure data clean rooms and modernised data platforms. AI-driven cloud modernisation : Accelerating enterprise modernisation with Google Distributed Cloud for secure, scalable modernisation built and managed on NTT DATA's global infrastructure, from data centers to edge to cloud. Next-generation application and security modernisation : Strengthening enterprise agility and resilience through mainframe modernisation, DevOps, observability, API management, cybersecurity frameworks and SAP on Google Cloud. Sovereign cloud innovation : Delivering secure, compliant solutions through Google Distributed Cloud in both air-gapped and connected deployments. Air-gapped environments operate offline for maximum data isolation. Connected deployments enable secure integration with cloud services. These scenarios meet data sovereignty and regulatory demands in sectors such as finance, government and healthcare without compromising innovation. Google Distributed Cloud sandbox environment : Google Distributed Cloud sandbox environment is a digital playground where developers can build, test and deploy industry-specific and sovereign cloud deployments. This sandbox will help teams upskill through hands-on training and accelerate time to market with G oogle Distributed Cloud technologies through preconfigured, ready-to-deploy templates. NTT DATA will support these innovations through a full-stack suite of services including advisory, building, implementation and ongoing hosting and managed services. By combining NTT DATA's proven blueprints and delivery expertise with Google Cloud's technology, the partnership will accelerate the development of repeatable, scalable solutions for enterprise transformation. At the heart of this innovation strategy is Takumi, NTT DATA's GenAI framework that guides clients from ideation to enterprise-wide deployment. Takumi integrates seamlessly with Google Cloud's AI stack, enabling rapid prototyping and operationalisation of GenAI use cases. This initiative expands NTT DATA's Smart AI Agent Ecosystem, which unites strategic technology partnerships, specialised assets and an AI-ready talent engine to help clients deploy and manage responsible, business-driven AI at scale. Accelerating global delivery with a dedicated Google Cloud Business Group To achieve excellence, NTT DATA has established a dedicated global Google Cloud Business Group comprising thousands of engineers, architects and advisory consultants. This global team at NTT DATA will work in close collaboration with Google Cloud teams to help clients adopt and scale AI-powered cloud technologies. NTT DATA is also investing in advanced training and certification programs ensuring teams across sales, pre-sales and delivery are equipped to sell, secure, migrate and implement AI-powered cloud solutions. The company aims to certify 5,000 engineers in Google Cloud technology, further reinforcing its role as a leader in cloud transformation on a global scale. Additionally, both companies are co-investing in global sales and go-to-market campaigns to accelerate client adoption across priority industries. By aligning technical, sales and marketing expertise, the companies aim to scale transformative solutions efficiently across global markets. Building on strategic momentum This global partnership builds on NTT DATA and Google Cloud's 2024 co-innovation agreement in APAC. In addition it further strengthens NTT DATA's acquisition of Niveus Solutions, a leading Google Cloud specialist recognised with three 2025 Google Cloud Awards – 'Google Cloud Country Partner of the Year – India', 'Google Cloud Databases Partner of the Year – APAC' and 'Google Cloud Country Partner of the Year – Chile,' further validating NTT DATA's commitment to cloud excellence and innovation. 'We're excited to see the strengthened partnership between NTT DATA and Google Cloud, which continues to deliver measurable impact. Their combined expertise has been instrumental in migrating more than 380 workloads to Google Cloud to align with our cloud-first strategy,' said José Luis González Santana, Head of IT Infrastructure, Carrefour. 'By running SAP HANA on Google Cloud, we have consolidated 100 legacy applications to create a powerful, modernised e-commerce platform across 200 hypermarkets. This transformation has given us the agility we need during peak times like Black Friday and enabled us to launch new services faster than ever. Together, NTT DATA and Google Cloud are helping us deliver more connected, seamless experiences for our customers,'
Zawya
6 hours ago
- Zawya
Just in time? Manufacturers turn to AI to weather tariff storm
Manufacturers like U.S. lawnmower maker The Toro Company are not panicking at the prospect of U.S. President Donald Trump's global trade tariffs. Despite five years of dramatic supply disruptions, from the COVID pandemic to today's trade wars, Toro is resisting any temptation to stack its warehouses to the rafters. "We are at probably pre-pandemic inventory levels," says its chief supply-chain manager, Kevin Carpenter, looking relaxed in front of a whiteboard at his office in Minneapolis. "I mean 2019. I think everybody will be at a 2019 level." Among U.S. manufacturers, inventories have roller-coasted this year as they rushed to beat Trump's deadlines for tariff hikes, only to see them repeatedly delayed. But since their post-pandemic expansion, inventories have mostly contracted, according to U.S. Institute for Supply Management data. Instead, "just in time" inventory management - which aims to increase efficiency and reduce waste by ordering goods only as they are needed - is back. But how can firms run lean inventories even as tariffs fluctuate, export bans come out of the blue, and conflict rages? One of the answers, they say, is artificial intelligence. Carpenter says he uses AI to digest the daily stream of news that could impact Toro's business, from Trump's latest social media posts to steel prices, into a custom-made podcast that he listens to each morning. His team also uses generative AI to sieve an ocean of data and to suggest when and how many components to buy from whom. It is a boom industry. Spending on software that includes generative AI for supply chains, capable of learning and even performing tasks on its own, could hit $55 billion by 2029, up from $2.7 billion now, according to U.S. research firm Gartner, driven in part by global uncertainties. HYPE "The tool just puts up in front of you: 'I think you can take 100 tonnes of this product from this plant to transfer it to that plant. And you just hit accept if that makes sense (to you)," McKinsey supply chain consultant Matt Jochim said. The biggest providers of overall supply chain software by revenue are Germany's SAP, U.S. firms Oracle, Coupa and Microsoft and Blue Yonder, a unit of Panasonic, according to Gartner. Generative AI is in its infancy, with most firms still piloting it spending modest amounts, industry experts say. Those investments can climb to tens of millions of dollars when deployed at scale, including the use of tools known as AI agents, which make their own decisions and often need costly upgrades to data management and other IT systems, they said. In commenting for this article, SAP, Oracle, Coupa, Microsoft and Blue Yonder described strong growth for generative AI solutions for supply chains without giving numbers. At U.S. supply chain consultancy GEP, which sells AI tools like this, Trump's tariffs are helping to drive demand. "The tariff volatility has been big," says GEP consultant Mukund Acharya, an expert in retail industry supply chains. SAP said the uncertainty was driving technology take-up. "That's how it was during the financial crisis, Brexit and COVID. And it's what we're seeing now," Richard Howells, SAP vice president and supply chain specialist, said in a statement. An AI agent can sift real-time news feeds on changing tariff scenarios, assess contract renewal dates and a myriad of other data points and come up with a suggested plan of action. But supply chain experts warn of AI hype, saying a lot of money will be wasted on a vain hope that AI can work miracles. "AI is really a powerful enabler for supply chain resilience, but it's not a silver bullet," says Minna Aila, communications chief at Finnish crane-maker Konecranes and member of a business board that advises the OECD on issues including supply chain resilience. "I'm still looking forward to the day when AI can predict terrorist attacks that are at sea, for instance." Konecranes' logistics partners are deploying AI on more mundane data, like weather forecasts. The company makes port cranes that are up to 106 metres (348 ft) high when assembled. When shipping them, AI marries weather forecasts with data like bridge heights to optimise the route. "To ship those across oceans, you do have to take into consideration weather," Aila says. RISING COSTS By keeping inventories low, firms can bolster profit margins that are under pressure from rising costs. Every component or finished product sitting on a shelf is capital tied up, incurring finance and storage costs and at risk of obsolescence. McKinsey has been surveying supply-chain executives since the pandemic. Its most recent survey showed that respondents relying on bigger inventory to cushion disruptions fell to 34% last year from 60% in 2022. Early responses from its upcoming 2025 survey suggest a similar picture, Jochim said. Gartner supply chain analyst Noha Tohamy says that without AI, companies would be slower to react and be more likely to be drawn into building up inventories. "When supply chain organisations don't have that visibility and don't really understand the uncertainty, we go for inventory buffering," Tohamy says. But AI agents won't put supply chain managers out of work, not yet, consultants say. Humans still need to make strategic and big tactical decisions, leaving AI agents to do more routine tasks like ordering and scheduling production maintenance. Toro supply chain chief Carpenter says that without AI, supply chain managers might need to run bigger teams as well. Is he worried that AI is coming for his job one day? "I hope it doesn't take it until my kids get through college!" (Reporting by Mark Bendeich; Editing by Sharon Singleton)
Tahawul Tech
12 hours ago
- Tahawul Tech
OpenAI advances AI development with the launch of GPT-5
OpenAI has deployed the next generation of ChatGPT, claiming the new model as its smartest and fastest yet as it takes the fight to rivals including Meta Platforms and Google. In a statement, OpenAI confirmed GPT-5 will be available to 700 million users which are using ChatGPT weekly, as powerful AI becomes 'more deeply interwoven into the way we live and work'. ChatGPT Team customers can access GPT-5 from 8th August, while those using its Enterprise and Education offerings will be able to use it next week. The model is also available in the OpenAI API. The company said its latest model exceeds its own prior breakthroughs in frontier intelligence, across reasoning features, agents and advanced capabilities. It arrives as organisations including SoftBank Corp and T-Mobile have begun to arm their workforces with AI, with 5 million paid users utilising its ChatGPT business products, explained OpenAI. The race to AGI Speaking during a press briefing, Sam Altman said using GPT-5 felt for the first time like one of its mainline models 'has felt like you can ask a legitimate expert, a PhD level expert, anything'. However, while stating the model was a significant step forward towards artificial general intelligence (AGI) Altman admitted GPT-5 was still missing key requirements required for a system to be able to do human jobs. 'It is missing something quite important, many things quite important,' highlighting the system is unable to continuously learn. At the end of July, Meta Platforms CEO Mark Zuckerberg outlined his plan to use the company's AI resources to create personal superintelligence to help humanity accelerate its progress, while rival Google on Tuesday unleashed a 'world model', representing its latest push towards AGI. OpenAI is also facing competition from the likes of Elon Musk's X with its Grok model and Apple this week has put out strong messages around ramping its AI offering. Source: Mobile World Live Image Credit: OpenAI
