Anthropic Strikes $200B Google Cloud Pact, Redefining AI Infrastructure Scale

Anthropic has committed to spend an unprecedented $200 billion with Google Cloud over the next five years, making it one of the largest AI-cloud infrastructure deals ever. This accounts for more than 40% of Google’s disclosed revenue backlog and signals a deepening partnership between the two companies.

• Value & Duration: $200 billion over five years (2026–2031)
• Scope: Google Cloud services and custom Tensor Processing Units (TPUs)
• Capacity: Multi-gigawatt TPU capacity expected from 2027
• Revenue Impact: Anthropic represents 40%+ of Google Cloud’s backlog (~$460B)
• Alphabet Investment: Up to $40 billion directly in Anthropic

Strategic Implication

Aspect	Impact
Google Cloud	Secures a top-tier AI client, boosting revenue visibility and cementing leadership in agentic AI infrastructure.
Anthropic	Gains guaranteed access to massive compute power, critical for scaling Claude AI models.
Broadcom	Benefits as Google’s chip partner, co-developing TPUs through 2031.
AI Market	Contracts from Anthropic + OpenAI now account for over half of $2 trillion in cloud backlogs across AWS, Azure, and Google Cloud.

• Market Reaction: Alphabet shares rose ~2% in extended trading after the news.
• Risks: Sustainability concerns, competitive pressure from OpenAI & Amazon, dependency on Google Cloud.
• AI Impact: Accelerates agentic AI era, scales Claude models, sets new precedent for hyperscaler partnerships.

What This Means for AI

• Shift to Agentic AI: Google executives frame this as part of the “era of the agent,” where AI systems reason, coordinate, and execute tasks autonomously. 
• Claude Expansion: Anthropic’s Claude models will scale rapidly, supported by diversified compute across Google, AWS, and Nvidia.
• Industry Benchmark: This deal sets a new precedent for AI-cloud partnerships, likely influencing future contracts across hyperscalers.  

Tata Steel Deploys 300+ AI Agents with Google Cloud to Redefine Industrial Efficiency

Tata Steel, a global leader in industrial manufacturing, and Google Cloud today announced a major expansion of their strategic partnership to architect the future of steel and advance Tata Steel’s unified, enterprise-wide agentic AI strategy. Using Google Cloud’s unified technology stack, Tata Steel is rapidly scaling autonomous capabilities across its vast global organisation, successfully deploying a fleet of over 300 specialised AI agents in just nine months to drive efficiency and precision across its global operations.

"Working with Google Cloud has allowed us to turn AI from a technical experiment into a specialised partner for every employee. This isn't just about new tools; it’s about a continuous engine of execution that enables our people to act on insights instantly. From predicting asset maintenance to reducing customer response times, we are using agentic AI to simplify the most complex parts of our business and drive execution at an entirely new scale," said Jayanta Banerjee, Chief Information Officer, Tata Steel.

Sashi Sreedharan, Managing Director, Google Cloud India, said: "While many industrial players are still navigating the complexities of digital transformation, Tata Steel has moved at unprecedented speed to deploy AI at a scale few in the industry have achieved. Their success demonstrates what is possible when an organisation anchors its strategy in a unified AI and data ecosystem. By creating a new blueprint for autonomous business processes at scale, Tata Steel has demonstrated that the synergy between a unified data cloud and generative AI is the key to turning industrial complexity into a distinct, data-driven competitive edge."

Turning data into a competitive edge

Specialised AI is only as powerful as the decades of operational data that fuels it - and Tata Steel’s early investment in a consolidated data architecture on Google Cloud enabled the Company to move beyond fragmented tools to create a single, enterprise-wide engine for execution. This transformation is driven by two key platforms that bridge the gap between complex data and real-world action:

The first is Zen AI which is empowering a new generation of developers in Tata Steel. This internal low-code platform enables employees who are not data scientists - such as software developers and frontline managers – to build, test, and deploy their own specialised AI agents. Built using Google Cloud’s Agent Development Kit (ADK) and integrated with BigQuery and Google Cloud Storage, Zen AI unifies decades of structured operational data with unstructured sources like video and documents within a secure, governed framework. This in turn has transformed Tata Steel’s global workforce into a distributed engine of innovation, where small, agile teams can now deploy enterprise-grade AI solutions with speed and precision that rivals the most nimble technology disruptors.

The second is the Tata Steel Digital Assistant (TDA) - a sophisticated internal portal that synthesises once-siloed information into a single interface, acting as a command center for decision making. With the ability to query data across three distinct domains - global public data, internal enterprise systems (such as operational APIs, SOPs, and financial records), and proprietary user data (including call recordings, complex spreadsheets, and PDFs) - TDA allows employees to navigate volatility with unprecedented precision. For example, by layering real-time global news and geopolitical sentiment over traditional commodity price data, the AI agents can provide predictive market intelligence, helping the Company stay ahead of supply chain shifts and market fluctuations. By turning data like call recordings and PDFs into actionable insights, Tata Steel is also transforming its vast organisational knowledge into a distinct, data-driven competitive advantage.

Driving organisational efficiency and transforming employee experience with AI

Tata Steel is also using agentic AI to eliminate administrative bottlenecks and reshape how the Company manages internal operations. For example, TDA assists the internal HR helpdesk in resolving more than 70% of routine employee tickets autonomously, saving hours of time for individuals across teams.

This efficiency further extends into core business functions through a dedicated fleet of business process agents. These agents work in harmony to streamline complex back-office workflows, including intelligent invoice processing, goods and services tax (GST) creditable/non-creditable classifications, and specialised contract analysis. By automating these repetitive, manual tasks, Tata Steel is easing the strain on teams across the organisation and allowing them to focus on high-value strategic initiatives.

Tata Steel’s agentic deployments are underpinned and supported by a scalable infrastructure built on Google Cloud Run. This enables the system to handle demand spikes instantly while scaling to zero when idle. With access to over 200 models on Google Cloud’s AI Agent Platform, Tata Steel ensures the optimal AI model is matched to every task, while also maintaining strict lifecycle management and governance.

AI-driven safety and operational excellence on the shop floor

Beyond administrative tasks, this agentic ecosystem is driving immediate impact across the manufacturing floor, where safety remains the highest priority. By integrating AI directly into industrial workflows, the Company has shifted from traditional monitoring to proactive, real-time intervention.

Central to this is Safety EyeQ, a specialised agent that analyses live video feeds in high-risk zones to ensure strict adherence to Standard Operating Procedures (SOPs). By identifying hazards – such as moving large equipment in proximity to hot material or any SOP deviation – the agent provides complete situational intelligence & triggers real-time alerts for immediate corrective action. This intelligence extends across the value chain through Asset Sphere agents, which evaluate equipment health to provide proactive maintenance plans, preventing unplanned downtime.

This multimodal approach leverages Google’s Large Language and Vision–Language Models such as Gemini and Palli Gemma. The same engine is also enhancing customer service, where specialised agents now automatically analyse complaint artifacts to detect complaint intent and defects from images and route issues to resolver groups, successfully reducing average turnaround time by 50%.

NetApp Collaborates with Google Cloud to Power Data Infrastructure for Distributed Cloud

NetApp® (NASDAQ: NTAP), the Intelligent Data Infrastructure company, today announced that it has expanded its collaboration with Google Cloud with a 4-year Enterprise Agreement to accelerate the deployment of the NetApp storage solutions within the Google Distributed Cloud air-gapped (GDC), Google's sovereign cloud platform delivered by World Wide Technology (WWT). The NetApp data platform within this full-stack, air-gapped private cloud solution delivers the built-in security organizations need to handle sensitive information and meet data sovereignty requirements.

“For government agencies and defense organizations, sensitive and classified data can’t leave controlled environments, but that data is also critical to AI‑driven decision‑making,” said Cesar Cernuda, President at NetApp. “By embedding NetApp’s secure-by-design storage systems into Google Distributed Cloud, we're enabling customers to build Intelligent Data Infrastructure that provides the foundation to support accredited, enterprise‑grade AI directly within sovereign and air‑gapped environments. Now, public sector customers can modernize operations, accelerate insight, and innovate responsibly without compromising security, compliance, or national sovereignty.”

Google Distributed Cloud extends customers’ cloud infrastructure and services to the places customers need them, including on-premises data centers and network edges. NetApp AFF, StorageGRID, and Trident solutions enable Intelligent Data Infrastructure that, with the integrated GDC solution, provides private cloud with zero-trust security and the ability to store data locally, manage encryption keys, and maintain control. Leveraging these systems within GDC enables customers to deploy cloud technology and applications, including AI capabilities, while maintaining more control over their IT environments by bringing the cloud closer to where their data is generated or creating air-gapped environments that limit or eliminate outside connections.

“Across the public sector, agencies are being asked to do more with data while operating under increasingly strict sovereignty, security, and compliance mandates,” said Muninder Sambi, VP, Product Management & Supply Chain, Google Distributed Cloud, Google Cloud. “Google Distributed Cloud was designed for exactly these environments, enabling customers to bring modern cloud services and advanced AI capabilities into sovereign, air‑gapped, and disconnected settings. By working with NetApp, we are helping government and regulated enterprises innovate where their data resides—supporting mission‑critical workloads with the highest levels of security, compliance, and operational integrity, without slowing the pace of transformation.”

Over the last year, Google Cloud has extended its AI capabilities for regulated use cases. Gemini’s advanced reasoning and state-of-the-art generation capabilities are available on GDC to unlock key generative AI capabilities such as automation, content generation, discovery, and summarization on-premises. Customers can operate fully disconnected, while still integrating Google's AI capabilities, enabling innovation while meeting strict security and compliance requirements.

“AI has the potential to transform how every organization operates, even those facing the most stringent controls to meet national security and data sovereignty requirements,” said Joe Koenig, President at WWT. “Leveraging data-driven insights to power your business requires a combination of innovative AI capabilities with powerful infrastructure.”

Additional Resources

• NetApp Expands Collaboration with Google Cloud to Provide Data Storage for Distributed Cloud Infrastructure
• NetApp and Google Cloud solutions

About NetApp

For more than three decades, NetApp has helped the world’s leading organizations navigate change – from the rise of enterprise storage to the intelligent era defined by data and AI. Today, NetApp is the Intelligent Data Infrastructure company, helping customers turn data into a catalyst for innovation, resilience, and growth.

At the heart of that infrastructure is the NetApp data platform – the unified, enterprise-grade, intelligent foundation that connects, protects, and activates data across every cloud, workload, and environment. Built on the proven power of NetApp ONTAP, our leading data management software and OS, and enhanced by automation through the AI Data Engine and AFX, it delivers observability, resilience, and intelligence at scale.

Disaggregated by design, the NetApp data platform separates storage, services, and control so enterprises can modernize faster, scale efficiently, and innovate without lock-in. As the only enterprise storage platform natively embedded in the world’s largest clouds, it gives organizations the freedom to run any workload anywhere with consistent performance, governance, and protection.

With NetApp, data is always ready – ready to defend against threats, ready to power AI, and ready to drive the next breakthrough. That’s why the world’s most forward-thinking enterprises trust NetApp to turn intelligence into advantage.

Learn more at www.netapp.com

NETAPP, the NETAPP logo, and the marks listed at www.netapp.com/TM are trademarks of NetApp, Inc. Other company and product names may be trademarks of their respective owners.

TCS Launches 7th Gemini Experience Center Worldwide, 2nd in US

The TCS Gemini Experience Center in Troy features an AI‑powered humanoid robot (in photo) that will use advanced sensing, edge intelligence, and secure cloud orchestration to enable real‑time operational insight and autonomous decision‑making.

Tata Consultancy Services (TCS) has announced the launch of its seventh Gemini Experience Center globally—and second in the US—at Troy, Michigan, in partnership with Google Cloud. The center is designed to accelerate AI-powered manufacturing by integrating Google’s Gemini models with TCS’ expertise in “Physical AI". 

Key Details

• Location: Troy, Michigan, USA
• Launch Date: March 9, 2026
• Partnership: Google Cloud
• Focus: AI-driven manufacturing solutions, specifically “Physical AI”
• Global Footprint: 7th Gemini Experience Center worldwide, 2nd in the US

Strategic Purpose

• Accelerating AI adoption in manufacturing
• Physical AI development integrating robotics, sensors, and industrial systems
• Future-ready enterprises with scalable frameworks

Why It Matters

• For US manufacturing: Michigan is a hub for automotive and advanced manufacturing
• For global clients: TCS positions itself as a leader in AI-driven industrial transformation
• For India’s IT sector: Expansion strengthens global presence and showcases leadership

📊 Comparison: TCS Gemini Centers

Region	Number of Centers	Focus Area
India	Multiple	AI R&D, enterprise solutions
US (Troy, MI)	2	Manufacturing, Physical AI
Europe	Several	Industry 4.0, sustainability
Global Total	7	AI-powered transformation

Challenges & Risks

• Adoption barriers: high upfront costs and integration challenges
• Workforce transition: reskilling needed due to automation
• Competitive landscape: differentiation against other IT majors

Takeaway

TCS’ Gemini Experience Center in Troy is a strategic investment in AI-powered manufacturing, combining Google’s Gemini models with TCS’ industrial expertise. For manufacturers, this means faster adoption of Physical AI, smarter factories, and a pathway to global competitiveness.

Wipro Expands Google Cloud Partnership with Gemini Enterprise Rollout

• Adopts Gemini Enterprise across its global operations to speed up decision-making and improve employee experience
• Launches Google Cloud Gemini Experience Zone at Wipro’s Partner Labs in Bengaluru

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO), a leading AI-powered technology services and consulting company, is expanding its longstanding partnership with Google Cloud to enhance enterprise productivity and drive global digital transformation with Gemini Enterprise.

Wipro Intelligence™*, the unified suite of AI-powered platforms, solutions and transformative offerings, anchors Wipro’s “Client Zero” approach, with the company first deploying and validating solutions and innovations internally to ensure they are optimized and enterprise-ready before client rollout. As part of this strategy, Wipro is implementing Gemini Enterprise across its core corporate functions, including finance, human resources, sales, delivery, and customer support to accelerate decision-making, enhance operational efficiency, and improve employee experience.

Gemini Enterprise is Google Cloud’s next generation agentic AI platform, and the new front door to AI in the workplace. Powered by Google’s world-class Gemini models, it provides an intuitive conversational interface that enables employees to interact with and analyze company data and applications and build no-code AI agents with enterprise-grade security and controls using natural language.

In addition to the internal adoption of Gemini Enterprise across its global operations, Wipro will leverage its deep industry expertise, consulting-led approach, and the Wipro Intelligence™ suite to enable joint enterprise customers to transition from fragmented AI pilots to secure, production-ready agentic solutions at scale.

Towards this partnership outlook, Matt Renner, President and Chief Revenue Officer at Google Cloud, recently inaugurated the Google Cloud Gemini Experience Zone at Wipro’s Partner Labs – a cornerstone of Wipro Intelligence™ – at the Kodathi campus in Bengaluru. This cutting-edge zone offers hands-on access to joint Google Cloud solutions, and showcases more than 200 production-ready AI agents across industries such as Healthcare, Banking, Insurance, Retail, Communications, and Manufacturing.

“Wipro’s commitment to innovation and enterprise transformation, powered by Gemini Enterprise, reflects a bold vision and long-term dedication to driving industry leadership and strategic impact,” said Matt Renner, President and Chief Revenue Officer, Google Cloud. “Through our expanded partnership, we are moving customers beyond experimental AI pilots to real-world outcomes, thereby delivering production-ready AI agents that create measurable business value.”

Sanjeev Jain, Chief Operating Officer, Wipro Limited, said, “By deploying Gemini Enterprise at scale across our operations, we are deepening our partnership with Google Cloud to reimagine the future of work, and setting a global benchmark for responsible AI adoption. This AI-powered transformation, with Wipro Intelligence™ at the core, will drive efficiency, agility, and growth – positioning Wipro and our clients to lead the next wave of enterprise innovation.”

*Wipro Intelligence™ is Wipro’s unified suite of AI-powered platforms, solutions, and transformative offerings, designed to empower enterprises to scale with confidence and lead in an AI-first world. The Wipro Innovation Network is an integral part of Wipro Intelligence™, bringing together Wipro's innovation labs, partner labs, AI-native partners, Wipro Ventures, Topcoder, research & academia, as well as deep-tech talent to harness frontier technologies such as Agentic AI, Embodied AI, and Quantum Computing to co-innovate with clients and bring Wipro Intelligence™ to life.

About Wipro Limited

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading AI-powered technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our consulting-led approach and the Wipro Intelligence™ unified suite of AI-powered platforms, solutions and transformative offerings, we help clients realize their boldest ambitions to build intelligent and sustainable businesses. The Wipro Innovation Network – part of the Wipro Intelligence™ suite – underpins our commitment to client-centric co-innovation and co-creation by bringing together capabilities from the innovation labs and partner labs, academia, and global tech communities. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.

AMD EPYC Fuels Mahindra’s Scalable HPC Platform for Design and Simulation

Challenging the perception that high-performance computing (HPC) in the cloud is costly, Mahindra has modernized its HPC infrastructure by adopting AMD EPYC™ processor-powered virtual machines on Google Cloud. This move enhances compute efficiency across Mahindra’s HPC workloads, enabling Mahindra to drive new revenue streams while boosting efficiency and reducing total cost of ownership (TCO).

Mahindra built an on-demand HPC platform to support compute-intensive workloads such as product design and virtual product simulation activities. During the digital-first launch of the Thar ROXX five-door SUV, Mahindra processed approximately 200,000 vehicle reservations online in just 1.5 hours – a feat not possible through traditional showroom-based rollouts. AMD EPYC processors deliver the performance, memory bandwidth, and core density needed to run these workloads at scale in the cloud – achieving significant infrastructure and software licensing cost savings.

Key highlights include: 

• Cost Optimization: Achieved approximately 40 percent overall savings. 
• Performance and Efficiency: Improved performance per core while reducing licensing costs.
• Scalable Platform: Infrastructure supports HPC, design, and enterprise workloads.
• Faster Innovation: Enabled faster design processing and more responsive digital experiences.

"By moving our workloads to AMD EPYC CPU-based virtual machines, we have seen greater application performance and up to 40 percent cost savings. The performance and efficiency of AMD EPYC processors have strengthened our business case and accelerated our IT transformation," said Abhishek Sukhwal, Head of Infrastructure, Mahindra Group.

"AMD EPYC processors are engineered to help enterprises like Mahindra accelerate innovation, whether on-prem or in the cloud," said Vinay Sinha, Managing Director – India Sales, AMD. "By delivering a strong combination of performance, core density, and energy efficiency, EPYC processors empower organizations to scale compute-intensive workloads while optimizing TCO."

To learn more, visit:
www.amd.com/en/resources/case-studies/mahindra.html

Google and Reliance Unveil Dedicated Cloud Region in Jamnagar to Power India’s AI Future

In a landmark announcement at Reliance Industries’ 48th Annual General Meeting, Google CEO Sundar Pichai revealed the launch of a dedicated Google Cloud region in Jamnagar, built exclusively for Reliance. The move marks a pivotal step in India’s digital transformation, aimed at accelerating AI adoption across industries and democratizing access to advanced computing infrastructure.

Purpose-Built for AI Innovation

The Jamnagar region will host Google Cloud’s latest-generation AI hypercomputer, offering full-stack environments for generative AI development, model training, and enterprise deployment. Designed and powered by Reliance, the facility will run entirely on green energy, aligning with the company’s sustainability goals.

This region is purpose-built to support India’s AI ambitions — from large enterprises to kirana stores, said Sundar Pichai.

“It’s a new chapter in India’s technology journey,” added Mukesh Ambani.

Infrastructure Highlights

• Hypercomputer Deployment: Optimized for large-scale generative models and AI-powered applications
• Green Energy Backbone: Powered by Reliance’s renewable energy assets
• Jio Fiber Integration: High-capacity connectivity linking Jamnagar to metros like Mumbai and Delhi
• Secure Data Environments: Designed for enterprise-grade governance and compliance

Strategic Impact

The Jamnagar region will serve as a launchpad for AI-first services across sectors including:

• Retail, telecom, energy, and financial services
• Startups, SMBs, and public sector organizations
• Developers and researchers building India-centric AI solutions

This initiative complements Reliance’s newly launched Reliance Intelligence, a wholly owned subsidiary focused on building consumer and enterprise-grade AI products.

National Significance

The announcement aligns with India’s broader push for sovereign AI infrastructure under the ₹10,370 crore IndiaAI Mission. By localizing compute power and enabling scalable AI deployment, the Jamnagar region positions India as a serious contender in the global AI race.

What’s Next

The cloud region is expected to go live in early 2026, with pilot deployments already underway in Reliance’s retail and telecom verticals. Analysts view this as a strategic convergence of infrastructure, innovation, and national ambition — one that could redefine India’s digital economy.

OpenAI Rents Google TPUs Amid AI Compute Race

OpenAI has struck a surprising deal with Google Cloud to access more computing power, despite their rivalry in AI, reported news agency Reuters.

Traditionally reliant on Microsoft Azure, OpenAI is now diversifying its infrastructure, following similar partnerships with Oracle, CoreWeave, and SoftBank.

The agreement, finalized in May 2025, comes as OpenAI faces growing demand for compute power, especially after launching graphics-heavy features like Ghibli-style image generation. CEO Sam Altman even joked that their GPUs are melting under the pressure.

Google is offering its tensor processing units (TPUs) to OpenAI, marking a shift in strategy as these chips were previously reserved for internal use. OpenAI is also working on custom AI chips, expected to roll out by 2026, reducing reliance on Nvidia GPUs.

Google's Tensor Processing Units (TPUs) and Nvidia's Graphics Processing Units (GPUs) are both designed for AI workloads, but they have distinct architectures and strengths.

TPUs are custom-built for AI tasks, especially deep learning inference, while GPUs are general-purpose processors originally designed for graphics but widely used for AI training.

GPUs handle parallel processing well, making them better suited for training complex AI models, whereas TPUs are optimized for tensor operations.

This deal strengthens Google Cloud’s position as a neutral compute provider, even as it competes in AI services. Meanwhile, Alphabet plans to spend $75 billion on AI-related infrastructure in 2025.

HCLTech and Google Cloud Launch Agentic AI Solutions

HCLTech, a leading global technology company, has launched a suite of Agentic AI solutions in collaboration with Google Cloud to help enterprises unlock efficiency and derive enhanced business value from their digital and technology landscapes.

By leveraging Google Agentspace and agentic framework, HCLTech has created a unified platform where agents with the ability to reason, act and adapt can seamlessly interact with data and applications.

"By collaborating with Google Cloud, HCLTech’s Agentic AI solutions leverage advanced cloud capabilities to help enterprises swiftly adapt to market changes and customer demands, ensuring competitiveness in fast-paced industries. Our approach involves creating industry and workflow-specific AI agents that significantly reduce manual intervention, enhance decision-making, proactively resolve issues, improve customer experience and boost loyalty," said Piyush Saxena, SVP and Global Head, Google Cloud Ecosystem, HCLTech.

"Digital transformation requires technology that can address the specific, complex challenges within an industry," said Victor Morales, VP of Global System Integrators Partnerships, Google Cloud. "Through Google Cloud's leading AI technology, HCLTech will deliver solutions that realize the potential of agentic AI and help customers significantly improve everyday work for their employees."

HCLTech has released 50 Agents on Google Marketplace across multiple industries, transforming various business processes, including IT, HR, customer relationship management, finance and sales. These include HCLTech Insight for manufacturing defect analysis and HCLTech NetSight for network operation optimization and improved customer experience.

HCLTech Launches Agentic AI-powered Smart Manufacturing Solution on Google Cloud

HCLTech, a leading global technology company, today announced the launch of HCLTech Insight, an agentic AI-powered Industry Focused Repeatable Solution (IFRS) designed to equip manufacturers with advanced data insights and analytics capabilities.

HCLTech used Google Cloud's Cortex Framework, Manufacturing Data Engine (MDE) platform, Vertex AI and Agentic Framework to build HCLTech Insight - an AI Agent that helps enterprises improve efficiency, productivity and user experiences by identifying product defects and other anomalies. The solution can serve enterprises across industries, including automotive, aerospace and electronics, with interactive dashboards and AI-powered virtual assistance to respond to defects in real time, boosting production quality and cost efficiency.

"Our research shows that while businesses are confident of the positive impact of AI, few have actual solutions in production. HCLTech's extensive industry experience with full-stack AI offerings combined with Google Cloud's technologies will help businesses transition rapidly from concept to production-grade solutions," said Vijay Guntur, Chief Technology Officer and Head of Ecosystems, HCLTech.

"HCLTech has demonstrated its deep expertise and commitment to advancing manufacturing analytics by using Google Cloud's Cortex Framework with Manufacturing Data Engine to build HCLTech Insight- AI Agent. By combining Google Cloud's manufacturing solutions with our leading generative AI and agentic capabilities, HCLTech Insight can provide our mutual clients with the tools they need to harness these insights and drive their manufacturing processes to new heights of productivity and efficiency," said Praveen Rao, Global Head of Manufacturing, Google Cloud.

For more information about HCLTech Insight, visit the Google Solutions Center - https://solutions.cloud.google.com/app/solution/0f6cee23-ccc2-4744-9b0f-a2045b750f23

To explore more, visit Google Cloud Ecosystem: Google Cloud and HCLTech Partnership | HCLTech

Glance and Google Cloud Join Forces to Build Consumer GenAI Experiences for Both Smartphones & Ambient TVs

• Glance to leverage Google’s portfolio of AI models including Gemini and Imagen
• To build generative AI -powered experiences on top of Glance’s Mobile and TV Surfaces generating a ‘personal internet’ for users
• Glance to launch ‘Glance AI,’ a gen AI-powered platform, supercharging smartphones into AI phones

Consumer internet company, Glance, and Google Cloud today announced a strategic partnership to bring the power of generative AI (gen AI) to millions of Glance-enabled smartphones worldwide. Through this collaboration, Glance will leverage Google’s AI models to develop consumer-facing AI applications designed to enhance and enrich user experiences on smartphone lock screens and ambient TV screens.

Glance, a pioneer in delivering AI-powered smart lock screen experiences, currently powers more than 450 million Android-based smartphones worldwide. The company has an active user base of more than 300 million across India, Indonesia, Japan, the United States, and other countries. It is now building the next generation of Glance, which aims to turn every user’s lock screen into the center of their digital experiences, integrating their news, sports, games, entertainment, fashion, and shopping with gen AI to create a ‘personal internet’ for the user.

Glance will leverage Google Cloud’s Gemini intelligence capabilities and Imagen’s state of the art image generation capabilities via Vertex AI to power Glance’s next-gen experiences. One of the first experiences is an immersive, gen AI-enabled commerce feature for the lock screen. This feature allows users to upload a single image (selfie or upload from gallery), which is then analyzed to infer their interests and preferences. Users can then use gen AI to generate personalized images that place them in relevant contexts, transforming their lock screen wallpapers. As users visualize themselves with various products, they can make real-time purchase decisions seamlessly from their lock screens.

“Our mission at Glance is to inspire users to become the best version of themselves through discovery-led experiences on surfaces powered by AI. We want to be the world’s largest consumer tech platform, reaching a billion screens by 2028, and our partnership with Google Cloud is key,” said Naveen Tewari, Founder & CEO of InMobi & Glance. “Our combined knowledge, AI capabilities, and expertise uniquely position Glance to deliver the next level of AI-driven experiences for smartphone users, supported by viable business models such as commerce and advertising.”

The partnership comes as Glance prepares to launch ‘Glance AI,’ a gen AI-powered platform designed to deliver immersive discovery experiences on both smartphone lock screens and TV ambient screens. To be launched in the U.S. market first, Glance AI aims to supercharge ordinary smartphones into AI phones through experiences that redefine content and commerce.

Thomas Kurian, CEO of Google Cloud added, “Generative AI technologies have the power to transform experiences for people around the world, and mobile phones are a key touchpoint. Glance can now harness Google Cloud’s cutting-edge gen AI technologies to develop groundbreaking applications across commerce, content, and more that will unlock new possibilities for customers.”

Launched in 2019, Glance is one of the earliest to unlock the potential of the smartphone lock screen, providing unique AI-driven personalized content discovery experiences. The Glance smart lock screen is delivered in partnership with OEMs and telcos. All functions are customizable, opt-in, and do not access user data, while maintaining user privacy. The platform relies on usage patterns to continually refine its recommendation engine and provide the best-in-class experience to the consumers.

NTT DATA to Acquire Udupi, Karnataka-based Niveus Solutions

NTT DATA Announced its Intent to Acquire Niveus Solutions to Bolster Its Google Cloud Capabilities

Japanese multinational IT giant, NTT DATA, has announced its intent to acquire Karnataka, India based Niveus Solutions, a cloud engineering company specializing in Google Cloud Platform (GCP) services. The acquisition deal is expected to close within the next 30-60 days.

Based in Brahmagiri, Udupi, Karnataka, Niveus Solutions specializes in application modernization, data management, cloud consulting, security, and managed services. The company help enterprises harness the power of cloud services to build resilient infrastructures that scale.

This acquisition will bolster NTT DATA's capabilities in Google Cloud and add 1,000 GCP engineering professionals to their team.

Niveus Solutions has a strong track record of delivering transformative, game-changing solutions using Google Cloud Platform (GCP).

This acquisition move will solidify NTT DATA's position as a global system integrator for Google Cloud and help them capitalize on the growing demand for cloud solutions.

Niveus Solutions was founded in 2013 by Suyog Shetty, Rashmi George, Roshan Bava, and Mohsin Khan. The company has since grown significantly and is now a leading provider of cloud engineering services, specializing in Google Cloud Platform (GCP) solutions.

Suyog Shetty, CEO and Co-founder of Niveus Solutions, said, "Niveus Solutions is excited to join forces with NTT DATA. Our team’s dedication to advancing digital transformation on Google Cloud, combined with NTT DATA’s extensive reach and capabilities, strongly positions us to bring modern cloud solutions to new markets to expand the boundaries of cloud innovation."

Charlie Li, Head of Cloud and Security Services, NTT DATA Inc., said, "The acquisition of Niveus Solutions will firmly position us as a leading Google Cloud powerhouse, propelling NTT DATA as one of the world’s largest system integrator partners for Google Cloud. With Niveus Solutions, we are set to redefine possibilities in the AI-driven cloud era, enabling clients to accelerate digital transformations and achieve meaningful business outcomes across industries and geographies."

John Lombard, CEO, NTT DATA, APAC, said, "The Niveus Solutions acquisition significantly advances our Google Cloud partnership and expands our ability to meet the growing demand for AI-powered solutions that drive business growth."

This acquisition comes within a month of NTT DATA's previous acquisition. NTT DATA acquired Aoop, a leading ServiceNow implementation company in Brazil. This acquisition strengthens NTT DATA's position in the Latin American ServiceNow solutions market and complements a recent acquisition in the UK focused on ServiceNow solutions in Europe and the United States. 

KPMG Invests $100 Mn in Its Alliance With Google Cloud

KPMG has announced a $100 million investment in its alliance with Google Cloud to accelerate the adoption of generative Al, data analytics, and cybersecurity among Fortune 500 companies and global enterprises.

This expanded partnership is expected to drive $1 billion in incremental growth for KPMG.

The investment will focus on developing new solutions to help clients solve complex business challenges, with an initial emphasis on data modernization and responsible Al adoption in sectors like consumer and retail, healthcare, and financial services.

KPMG and Google Cloud announced their alliance in April 2024 when KPMG established a Google Cloud Center of Excellence (CoE) to align its product development, industry expertise, and technical resources for enterprises. 

KPMG said that bookings for KPMG's Google Cloud practice have increased tenfold over the past two years, reflecting the growing demand for cloud and AI solutions.

The expanded alliance will focus on data modernization and responsible AI adoption across various industries, with an initial emphasis on consumer and retail, healthcare, and financial services.

The alliance will bring Vertex AI and Gemini models to financial services clients, helping automate processes like fraud detection, financial crime detection, and commercial lending.

Besides this alliance with Google, KPMG has also formed alliances with other major cloud service providers to enhance its Al and digital solutions offerings. For instance, in July 2023, KPMG announced a $2 billion commitment over five years to expand its Al and cloud services through a partnership with Microsoft. This collaboration aims to integrate Microsoft's Al tools, such as OpenAl Service and Azure Al Search, into KPMG's proprietary generative Al tool.

Additionally, other Big Four accounting firms like PwC, Deloitte, and EY have also built partnerships with various tech giants, including Google Cloud, Microsoft, and Amazon Web Services (AWS), to leverage Al and other digital solutions for their clients.

Google Cloud to Open a Startup Hub and CoE in Madhya Pradesh

Google Cloud is planning to establish a startup hub and a Centre of Excellence (CoE) in Madhya Pradesh. This initiative is part of a larger investment proposal worth approximately ₹3,200 crore, which aims to create around 7,000 jobs. The announcement was made by Madhya Pradesh Chief Minister Mohan Yadav, who highlighted the potential for significant growth in the state's IT sector.

This move is expected to boost the local economy and foster innovation and entrepreneurship in the region.

The Centre of Excellence (CoE) that Google Cloud plans to establish in Madhya Pradesh will serve as a hub for cutting-edge research and development in cloud computing, artificial intelligence, and other emerging technologies. It aims to provide training and upskilling opportunities for local talent, helping them acquire the necessary skills to thrive in the tech industry.

The CoE will offer resources and mentorship to startups, fostering an environment of innovation and entrepreneurship. It will facilitate collaboration between academia, industry, and government to drive technological advancements and economic growth.

The CoE will also focus on sustainable practices and solutions, aligning with global efforts to address environmental challenges.

This initiative is expected to significantly boost the local economy, create job opportunities, and position Madhya Pradesh as a key player in India’s tech landscape.

Google Cloud's investment in Madhya Pradesh is a significant initiative aimed at transforming the state into a tech hub. The initiative includes collaborations with other tech giants like NVIDIA and Infosys to further enhance the state's technological capabilities.

This move is anticipated to significantly boost the local economy and position Madhya Pradesh as a key player in India's tech landscape.

Besides, this investment aligns with Madhya Pradesh's strategic goals to attract more IT companies and foster a robust tech ecosystem. The state government has been actively engaging with industry leaders to explore further opportunities in aerospace, defense, and IT sectors.

Recently, Madhya Pradesh Global Investors Summit in Bengaluru attracted over 500 industry leaders. The event focused on investment opportunities in aerospace, defense, and IT sectors.

Madhya Pradesh is positioning itself as a major player in the AI landscape with collaborations involving Google Cloud and NVIDIA. These efforts are expected to revolutionize sectors like agriculture, healthcare, education, and manufacturing.

Amdocs and Google Collaborate for Real-Time Data Insights

Amdocs, a leading provider of software and services to communications and media companies, has recently partnered with Google Cloud to enhance data insights for communications service providers (CSPs).

Through this collaboration, Amdocs leverages Google Cloud's unified AI-ready data platform, enabling CSPs to make better business decisions using real-time data insights. This joint effort empowers CSPs to unlock new opportunities for innovation, efficiency, and customer experience improvements.

Amdocs’ AI and Data Platform (previously DataOne) now leverages Google Cloud’s unified AI-ready data platform to help CSPs better leverage data to make business decisions. Further, the platform also uses Google Cloud Architecture Framework to create a layered and service-based architecture that leverages best practices for operational excellence, reliability

By combining Amdocs’ data insights with Google Cloud’s AI capabilities and BigQuery’s data assets, service providers can unlock new opportunities for innovation and efficiency, transforming customer experiences, business operations and revenue performance, helping CSPs evolve into true AI-driven service providers.

Amdocs will be showcasing its Google Cloud-supported AI and Data Platform capabilities at TM Forum’s Digital Transformation World event in Copenhagen, Denmark.. 

Nokia and Google Cloud Collaborate to Help Developers Worldwide Create 5G Applications Faster with Telco APIs

Nokia has expanded its collaboration with Google Cloud to empower developers worldwide in creating innovative 5G enterprise and consumer applications more efficiently.

This move enhances the developer experience by leveraging Google Cloud data and generative AI solutions, including Vertex AI and Gemini 1.5 Pro.

Nokia's "Network as Code" platform, which brings together telco networks, systems integrators, and software developers, will now run on Google Cloud. This platform accelerates the development of software applications that can utilize 5G and 4G network capabilities.

By leveraging Google Cloud's Vertex AI and Gemini 1.5 Pro, developers can easily consume AI in their applications and improve productivity with coding assistance agents.

The collaboration aims to target industry-specific use cases, starting with healthcare. This will help telehealth companies provide better and safer customer experiences.

Google Cloud's expansive developer community will benefit from standardized 5G network capabilities worldwide, exposed through Nokia's Network as Code platform. This provides technical tools for creating new applications.

Overall, this collaboration enhances the developer experience and promotes faster 5G application development across various sectors.

Nokia’s Network as Code platform with developer portal provides developers with software development kits (SDKs); network API documentation, a “sandbox” to create software code for use case simulation and testing; and code “snippets” that can be included in building new applications. The platform is based on a revenue share model between developers, operators, and Nokia.

Since its launch in September 2023, Nokia has signed collaboration agreements with 13 network operators and ecosystem partners in Europe, North America, and South America.

Airtel and Google Cloud Enter into a Long-Term Strategic Collaboration to Accelerate Cloud Adoption and Deploy Generative AI Solutions

Bharti Airtel (“Airtel”) and Google Cloud have entered into a long-term collaboration to deliver cloud solutions to Indian businesses. The strategic collaboration will offer a suite of cutting-edge cloud solutions from Google Cloud to fast-track cloud adoption and modernization for Airtel’s customers.

In addition, Airtel will provide a suite of cloud managed services to its customer base of more than 2,000 large enterprises and one million emerging businesses. Through this collaboration, the two companies are targeting the large and growing Indian public cloud services market, which is expected to reach $17.8 billion by 2027, according to IDC.

The two companies will bring together their unique strengths of connectivity and AI technology to develop industry-leading AI/ML solutions that Airtel will train on its large data set. These unique solutions will drive greater value to Airtel’s customers and will include geospatial analytics solutions with advanced location intelligence for trend-spotting, predictive capabilities, market assessment, site selection, risk management, and asset tracking; voice analytics solutions for superior conversational applications trained across languages; and marketing technology solutions to forecast consumer behavior, perform tailored audience segmentations, and streamline content creation with high-precision contextual ads at reduced costs.

In addition to these offerings, Airtel has developed an end-to-end IoT solution designed for the utility sector that combines connectivity, Google Cloud services, and application software under one offering, enabling seamless, hassle-free, and faster deployment.

To power its cloud-based solutions business, Airtel has set-up a managed services center in Pune with 300+ experts who are being extensively trained to champion Google Cloud services and develop world-class tech solutions.

Gopal Vittal, MD & CEO, Bharti Airtel, said: “As India accelerates its digital transformation, cutting-edge cloud and AI solutions will be at the heart and center of this change. We are happy to partner with Google Cloud and jointly address this market opportunity with secure and scalable Cloud solutions for government, enterprises, and emerging businesses. Together, we will also accelerate the deployment of gen AI in the country and unlock its potential to solve problems.”

Thomas Kurian, CEO, Google Cloud, added: “Our strategic collaboration with Airtel marks a significant milestone towards our commitment to accelerate cloud and AI adoption in India. Through this partnership, we aim to explore and build transformative solutions that can enhance Airtel’s customer experiences.”

Airtel will also leverage Google Cloud’s gen AI capabilities to transform its customer experiences and interactions across its offerings of mobile, broadband, and digital TV, and to streamline its internal processes and operations. Airtel will also extend these capabilities to its B2B customers in India and globally.

AI in Retail: Google Cloud and Accenture to Use Gen AI To Enhance Best Buy's Customer Support Experience

Best Buy, Google Cloud, and Accenture have joined forces in a new collaboration to enhance customer support services using generative AI (gen AI). This initiative aims to provide more personalized and efficient experiences for Best Buy customers. Best Buy has selected Google Cloud as its AI innovation and strategic partner for several of its key customer care initiatives

Self-Service Support Option

Starting in late summer 2024, Best Buy's U.S. customers will be able to connect with a gen AI-powered virtual assistant for self-service support.

The assistant can help with tasks such as troubleshooting product issues, rescheduling or combining order deliveries, and managing software, Geek Squad subscriptions, and My Best Buy Memberships™.

Customers can access these services while shopping on BestBuy.com, using the Best Buy mobile app, or calling the customer service line directly.

Enhancing Customer Care Agents

Best Buy will launch new gen AI-enabled capabilities for customer care agents.

These tools will assess conversations in real-time, detect sentiment, and provide relevant recommendations.

The goal is to reduce the mental workload for agents and allow them to better connect with customers.

Front-Line Employee Assistance

Best Buy plans to develop a Gen AI-powered assistant specifically for its front-line employees in stores. This assistant will provide solutions like finding internal company resources or pulling up specific product guides to better serve customers.

By leveraging Google Cloud's AI platform, Vertex AI, and Gemini models, Best Buy aims to stay at the forefront of customer support experiences. The future of retail continues to evolve, and Best Buy is committed to serving its customers in innovative ways.

In addition to implementing tools to assist customer care agents, Best Buy will work with Google Cloud and Accenture to develop an AI-driven assistant specifically for its front-line employees serving customers nationwide. This assistant will aim to provide a broad array of solutions to support employees in stores with things like finding internal Best Buy company resources or pulling up specific product guides to help better serve a Best Buy customer.

“These new gen AI-powered capabilities further enhance our commitment to deliver better, more personalized experiences to our customers by unlocking the power of people,” said Brian Tilzer, Chief Digital Analytics and Technology Officer at Best Buy. “We are excited to leverage and tailor these innovations with great partners like Google and Accenture so we can continue to serve our customers in unique and differentiated ways and make our employees’ jobs easier.”

Best Buy will tap into a range of Google Cloud products including their Gemini models and Vertex AI, to create and launch these AI capabilities, as well as Contact Center AI to develop state-of-the-art conversational agents. The selection of Google Cloud’s generative AI technologies builds on how Best Buy uses AI across a number of customer care fronts.

Best Buy and Google have a long-standing relationship with existing collaborations across other Google products and services, including Advertising, Hardware, Google Chrome, and more. Powering some of Best Buy’s upcoming gen AI deployments will be a coordinated effort across Accenture, Google Cloud Consulting, and Best Buy’s internal teams to build, test and scale new capabilities for Best Buy.

Best Buy (NYSE: BBY) is the world’s largest specialty consumer electronics retailer. Our purpose is to enrich lives through technology, which we do by providing our customers a unique mix of advice, products and services in our stores, online, and in homes. Our expert associates advise customers on our curated assortment of the latest, name-brand technology, while our highly trained services teams help with designs, consultations, delivery, installation, tech support and repair.

Cognizant Adopts Gemini for Google Cloud, To Train Its 70,000 Associates

Cognizant and Google Cloud have expanded their AI partnership. On March 21, 2024, the companies announced an enhancement of their collaboration to boost software development productivity. Cognizant will adopt "Gemini for Google Cloud" to accelerate the velocity for its software developers and enable over 70,000 associates on Google Cloud's latest AI technologies.

This expansion is part of Cognizant's commitment to invest $1 billion in generative AI over three years, aiming to amplify human potential and drive significant economic impact.

Cognizant will adopt Gemini for Google Cloud in two ways: first, by training Cognizant associates to use Gemini for software development assistance; and second, Cognizant is integrating Gemini's advanced capabilities within its internal operations and platforms. Using Gemini for Google Cloud, Cognizant's developers will be equipped to write, test, and deploy code faster and more effectively with the help of AI-powered tools, improving the reliability and cost efficiency of building and managing client applications.

Last year in May, Cognizant announced establishment of Google Cloud AI Innovation Centers and the Cognizant Google Cloud AI University, which will train 25,000 Cognizant professionals plus clients. With the latest partnership expansion, Google Cloud will support Cognizant in the continued development of AI-led software engineering best practices, and by helping the Cognizant Google Cloud AI University launch advanced courses on AI use cases.

Cognizant's adoption of "Gemini for Google Cloud" is a strategic move to enhance software development productivity. This tool is expected to help Cognizant's software developers accelerate the development process by enabling faster coding, rigorous testing, and swift issue remediation. It's part of a broader initiative to integrate Google Cloud's advanced AI technologies and drive innovation across various industries. The partnership underscores a significant investment in AI and a commitment to leveraging these technologies to amplify human potential and create economic value.

Gemini for Google Cloud is a generative AI-powered collaboration product designed to enhance productivity and creativity for its users. It's part of Google's suite of AI tools and is embedded in many Google Cloud products, including the Google Cloud Console and Cloud Code extensions.

Gemini excels at tasks such as — 1) Conversational AI: Engaging in natural, open-ended conversations, and 2) Text Summarization: Distilling key points from large bodies of text.

Gemini is available in different optimized sizes, such as Ultra, Pro, and Nano, catering to various needs and scales of operation. Developers and enterprise customers can access Gemini Pro via the Gemini API in Google AI Studio or Google Cloud Vertex AI, which allows them to prototype and launch apps quickly.

Accenture and Google Cloud Launch Joint Generative AI CoE for Enterprises, To Provide Deployment of Gemini

Accenture and Google Cloud Launch Joint Generative AI Center of Excellence to Help Enterprises Harness the Value of Generative AI

Accenture and Google Cloud will provide AI managed services to scale generative AI, including deployment of Gemini, Google’s newest and most capable model

Accenture (NYSE: ACN) and Google Cloud have announced a new initiative to help businesses adopt generative AI to improve operations, create new lines of businesses, and build unique customer experiences. Accenture and Google Cloud will create a global, joint generative AI Center of Excellence (CoE) that will provide businesses with the industry expertise, technical knowledge, and product resources to build and scale applications using Google Cloud’s generative AI portfolio and accelerate time-to-value.

This is the latest step in Accenture and Google Cloud’s work to help organizations reinvent their businesses with generativeAI and unlock new growth opportunities. The new CoE will help enterprises determine the optimal large language model—including Google’s latest model, Gemini—to use based on their business objectives. With improved performance, efficiency, and state-of-the-art capabilities, Gemini can significantly enhance how large enterprises build and scale with AI to complete highly complex and common tasks. The Gemini Pro API is available in public preview now, with Gemini Ultra coming early next year.

The new CoE will combine Accenture’s deep model customization services and full-stack engineering services with Google Cloud’s advanced generative AI technology, providing clients with:

• Specialized access to Accenture data and AI architects and engineers to develop advanced prompt engineering strategies for AI model optimization, fine-tuning, and foundation model customization—giving clients the unique resources needed to achieve business outcomes faster with generative AI. This will include access to Accenture’s AI Navigator platform, curated industry datasets and support for Google Cloud's Model Garden collection, with responsible AI controls embedded throughout to help meet ethical and governance requirements.
• Gemini and a wide selection of large language models (LLMs), including more than 130 models through Model Garden on Vertex AI. Vertex AI offers a full stack of AI and machine learning (ML) development tooling that helps enterprises quickly adopt and deploy generative AI capabilities within their organizations, with APIs, MLOps tools, and native integrations with BigQuery that enable them to easily train, test, and tune models on a single platform. The CoE will also help enterprises adopt Gemini, Google’s most capable and flexible model, to transform business operations with its sophisticated reasoning capabilities.
• New rapid prototyping services on Google Cloud to accelerate development and deployment of generative AI applications in order to jumpstart new business capabilities across enterprise operations and industries. This will include powerful use cases that apply generative AI to improve enterprise search, enhance customer contact center experiences, automate unstructured document management and summarization, and more.
• The use of Duet AI for Developers to support code generation and completion for customers—bringing generative AI to software engineering teams to enhance every stage of the development lifecycle.
• Access to Google Cloud’s differentiated, AI-optimized infrastructure, including Tensor Processing Units (TPUs), Graphics Processing Units (GPUs), and Google AI Hypercomputer for quick training, tuning, and serving of AI models.
• Industry-tested AI managed services and best practices, based on learnings from Accenture’s more than 300 scaled generative AI projects and AI solutions and 1,450+ AI patents and patent-pending applications.
• The Accenture and Google Cloud CoE arrives at a critical juncture as organizations across diverse industries seek to scale the power of gen AI across their enterprise operations. For example, health insurance provider Independence Blue Cross has a long history of using emerging technologies to drive business value.

"At Independence Blue Cross, we've harnessed the power of AI to better manage massive amounts of data and show opportunities to improve member experiences and introduce new services," said Michael R. Vennera, executive vice president and chief strategy, corporate development and information officer, Independence Health Group. "We are looking forward to working with Accenture and Google Cloud through their new Center of Excellence to explore new ways generative AI can help proactively manage our members' health."

“As a catalyst for business reinvention, generative AI will transform how people work and access information,” said Karthik Narain, group chief executive–Technology at Accenture. “Organizations want to move from experimentation with generative AI to scaled implementations faster. Accenture’s deep expertise in managing and scaling large language models tailored for business needs, paired with tools like Accenture’s model switchboard, can help accelerate adoption. Our latest joint investment with Google Cloud can help clients drive quicker business results, as well as long-term value from their generative AI applications.”

“Accenture is a leader in providing AI services that help enterprises successfully implement generative AI and accelerate business transformation,” said Thomas Kurian, CEO of Google Cloud. “Through our joint center of excellence, enterprises across industries have access to leading technical experts and engineers that can address their most complex business challenges and quickly begin creating value from Google Cloud’s advanced generative AI technology.”

Additionally, Accenture will also expand its own internal use of Google Cloud technology by making Duet AI for Developers accessible to thousands of its software engineers—enabling new and expert developers with sequential and context-sensitive coding suggestions to accelerate software development.