Год: 2025

The Linux Foundation has announced the formation of the Agentic AI Foundation (AAIF), backed by Anthropic, Block and OpenAI. Other members include Amazon Web Services, Bloomberg, Cloudflare, Google, and Microsoft.

The new foundation aims to provide a neutral, open governance structure for the emerging ecosystem of agentic AI systems. The AAIF brings together tools and standards that enable autonomous AI agents to operate across applications and environments.

As part of the launch, OpenAI is bringing AGENTS.md, a markdown-based standard that offers project-specific instructions for AI agents. Meanwhile, Anthropic announced that it is donating the Model Context Protocol (MCP) to the AAIF. Block is contributing Goose, its open-source framework for building and running AI agents.

These founding projects offer shared infrastructure for interoperability and predictable agent behaviour.

“We are seeing AI enter a new phase, as conversational systems shift to autonomous agents that can work together,” said Jim Zemlin, executive director of the Linux Foundation. “Bringing these projects together under the AAIF ensures they can grow with the transparency and stability that open governance provides.”

MCP, released by Anthropic in 2024, has become widely adopted as a standard protocol for connecting AI models to tools, data and applications. Anthropic reports more than 10,000 MCP servers across enterprise and developer environments. MCP is currently used by platforms including Claude, Copilot, Gemini, VS Code and ChatGPT.

“MCP started as an internal project to solve a problem our own teams were facing,” said Mike Krieger, chief product officer at Anthropic. “Donating MCP to the Linux Foundation ensures it stays open, neutral, and community-driven as it becomes infrastructure for AI.”

Block’s goose, introduced in 2025, is an open-source, local-first AI agent framework built around MCP for tool and workflow integration. It provides a structured environment for building and running agentic processes.

“We’re at a critical moment for AI,” said Manik Surtani, head of open source at Block. “By establishing the AAIF, Block and this group of industry leaders are taking a stand for openness. Contributing goose ensures that agentic AI remains shaped by the community.”

OpenAI’s AGENTS.md standard, launched in 2025, gives AI coding agents consistent project-level instructions across repositories and toolchains. The markdown-based format is already used by more than 60,000 open-source projects and frameworks such as Cursor, GitHub Copilot, Gemini CLI and VS Code.

“For AI agents to reach their full potential, developers and enterprises need trustworthy infrastructure and accessible tools to build on,” said Nick Cooper, member of the technical staff at OpenAI. “By co-founding the AAIF and donating AGENTS.md, we’re helping establish open, transparent practices that make AI agent development more predictable and interoperable.”

Open Standards for Agentic AI

Developers are building AI agents for coding, workflow automation and customer service, with many now shifting from prototypes to production use. OpenAI said the industry needs shared standards to avoid fragmentation.

“Open standards make agents safer, easier to build, and more portable across tools and platforms,” the company said, adding that without common conventions, development risks diverging into incompatible silos.

Over the past year, OpenAI has released several components meant to support an open agentic ecosystem, including the Agents SDK, Apps SDK, the Agentic Commerce Protocol, gpt-oss models and the Codex CLI.

OpenAI said it has also contributed to the Model Context Protocol (MCP), which is now integrated into ChatGPT connectors and apps. Last week, OpenAI, Anthropic and MCP-UI extended the Apps SDK to all MCP developers through MCP Apps.

Governance and Participation

AAIF will operate as a directed fund within the Linux Foundation. The organisation has invited tool builders, researchers and enterprises to participate in shaping future standards.

The foundation will support open development, long-term sustainability and collaborative governance.

Gold members include Cisco, Datadog, IBM, Oracle, Salesforce, SAP, Shopify, Snowflake and Twilio; Silver members include Hugging Face, Uber, Zapier, SUSE and Mirantis.

The Linux Foundation has previously stewarded projects such as the Linux Kernel, Kubernetes, Node.js and PyTorch.

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ElevenLabs, the voice-AI startup, claimed that it has added $14 million in Annual Recurring Revenue (ARR) in a single day.

Mati Staniszewski, the co-founder, announced it in a post on X. “It was our first day crossing $10M, and it’s crazy to see how much has changed since the early days and our very first deal,” he said.

By definition, ARR reflects the revenue a company is contractually guaranteed to receive over the next 12 months. This includes only customers who have committed to annual or longer-term agreements, and the total ARR figure represents the sum of all such active contracts.

Staniszewski stated that in August, the company crossed $200 million in ARR, and by next January, it aims for $300 million in ARR. ElevenLabs’ products were launched publicly only in January 2023, and in October 2024, the company crossed $100 million in ARR.

In September, the company enabled an employee secondary share sale, pricing some shares at $6.6 billion. It has raised a total of $291 million across six funding rounds, according to data from Tracxn. In January this year, the company raised $180M in Series C funding led by a16z and ICONIQ Growth.

ElevenLabs offers text-to-speech, speech-to-speech, voice-cloning, and dubbing tools built on its own foundation audio models, including its core speech synthesis model and its multilingual voice model.

Last month, the company launched Scribe v2 Realtime, its most advanced Speech-to-Text model designed to deliver human-quality live transcription in under 150 milliseconds.

The model supports more than 90 languages, including 11 Indian ones such as Hindi, Tamil, Malayalam, Kannada, Telugu, and Gujarati. The company said the model achieves 93.5% accuracy on the FLEURS benchmark across 30 European and Asian languages, setting a new standard for real-time multilingual communication.

Scribe v2 Realtime is aimed at developers and enterprises building voice assistants, meeting tools, and live captioning applications.

While the company has established itself as one of the leading players in the ecosystem, it continues to face competition from other players, including Deepgram, Smallest.ai, Murf.ai, and others.

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Accenture has expanded its partnership with Anthropic, launching a multi-year initiative to train around 30,000 employees on Claude and embed the model across enterprise environments.

The new unit, branded the Accenture Anthropic Business Group, is positioned as one of the largest concentrations of Claude practitioners globally.

The collaboration is designed to move large organisations out of the AI pilot phase and into broad production deployment. Accenture framed this as a targeted investment in talent, solution development, and go-to-market capacity.

As part of the expansion, Accenture also becomes a premier AI partner for coding with Claude Code, making the tool available to tens of thousands of developers, which marks Anthropic’s largest enterprise deployment to date.

Beyond training, both companies are launching a joint offering aimed at CIOs. The product provides a structured path for scaling AI-powered software development, built around Claude Code and Accenture’s frameworks for quantifying productivity gains, ROI, and workflow redesign.

It is intended to shift engineering organisations to an AI-first operating model, with change-management support and continuous training baked in.

The partnership also includes co-developed solutions for regulated industries, financial services, life sciences, healthcare, and the public sector, where modernisation is constrained by security, compliance, and legacy systems.

Besides, planned use cases include automating document-heavy compliance tasks in banking, assisting R&D teams in life sciences, and enabling AI agents that help citizens navigate government services while preserving data-governance requirements.

To support hands-on experimentation, Accenture will integrate Claude into its global network of Innovation Hubs, allowing clients to prototype and test AI systems in controlled environments before broad rollout.

The companies will additionally create a Claude Center of Excellence inside Accenture to jointly design new AI offerings tailored to enterprise and regulatory contexts.

“Organisations can embed AI everywhere responsibly and at speed,” said Julie Sweet, Accenture’s CEO. “This partnership moves clients from experimentation to reinvention.”

Anthropic CEO Dario Amodei said the partnership represents the company’s largest real-world deployment of Claude Code so far, adding that the new business group will help enterprises “make major productivity gains” using Anthropic’s most capable models.

In a similar move, Accenture also recently entered a collaboration with OpenAI, which will roll out ChatGPT Enterprise to tens of thousands of its employees, which the company says is the largest group to be upskilled through OpenAI Certifications.

Accenture will use the tool across consulting, operations and delivery work as it builds new AI services for clients.

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The United States will allow NVIDIA to export its H200 AI chips to China and other countries, under a new arrangement announced by President Donald Trump. The deal stipulates a 25% fee on the sale of the high-performance GPUs.

The H200 chip—considered NVIDIA’s second-most advanced AI processor behind Blackwell GPUs—can now be exported to vetted Chinese customers, contingent on national security safeguards and approval from the US Department of Commerce. Trump said he notified Chinese President Xi Jinping of the decision, and claimed Xi “responded positively.”

The decision comes after weeks of deliberation over export controls and follows a recent meeting between NVIDIA’s chief executive and US officials. Other firms, including AMD and Intel, may become eligible to export their AI chips under similar provisions.

Earlier this year, NVIDIA was authorised to resume shipments of the H20 chips to China, following assurances from the US government that license approvals were underway. AMD, too, secured regulatory approvals to resume shipping its MI308 AI chips to China.

The 25% fee on sales proceeds of H200 chips will be collected as an import tax when they are shipped from manufacturing sites in Taiwan to the United States for inspection, before onward export.

With this, the US avoids exporting its latest chips, such as the Blackwell or NVIDIA’s Rubin-generation processors, while partially reopening access to the Chinese market. The H200 is more powerful than the older H20, previously permitted but ultimately blocked for Chinese buyers.

The Chinese government even introduced incentives such as cheaper power for local AI firms willing to ditch NVIDIA chips and buy from regional players like Huawei. This came after complaints from tech giants like Alibaba, ByteDance and Tencent, which faced higher costs after Beijing restricted access to NVIDIA’s AI chips due to US export controls.

For NVIDIA, Trump’s approval could restore access to a massive market, potentially yielding billions in revenue. The shares of the world’s most valuable company rose about 2% in after-hours trading following the announcement.

However, the deal comes as geopolitical uncertainty continues to govern US-China relations. Even if the US relaxes restrictions, China may refuse to allow imports in the same vein as it previously refused to buy the H20 chips on security grounds. As NVIDIA’s CEO, Jensen Huang, admitted shortly before the policy shift, “We don’t know. We have no clue,” whether Chinese customers will accept the H200 under these terms.

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Tata Group and Intel announced that they will work together to develop semiconductor and computing capabilities in India. The alliance, formed through a Memorandum of Understanding (MoU), aims to support the expansion of local manufacturing, packaging, and AI compute markets.

The companies will explore how Intel products can be manufactured and packaged at Tata Electronics’ upcoming fab and OSAT facilities. They will also examine how to scale AI PC solutions for India, which is projected to become a top-five global market by 2030.

The collaboration will involve work across consumer and enterprise hardware, advanced packaging, and tailored compute designs. The partners plan to draw on Intel’s AI compute reference designs and Tata Electronics’ manufacturing services, along with Tata Group companies’ access to domestic markets.

N Chandrasekaran, chairman of Tata Sons, said the group is “deeply committed to developing a robust semiconductor industry in India.” He said the alliance would help Tata “drive an expanded technology ecosystem.”

This comes at a time when Tata is actively pushing to build its fabrication facility in Dholera, Gujarat.

Intel CEO Lip-Bu Tan said the company sees a “tremendous opportunity to collaborate with Tata to rapidly scale in one of the world’s fastest-growing compute markets.” He added that India’s rising PC demand and rapid AI adoption offer strong growth potential.

In his post on X, he mentioned looking forward to bolstering the silicon and compute ecosystem in India. “Intel has been in India for nearly 4 decades, and India is a large and growing market for Intel,” he said.

Randhir Thakur, MD and CEO of Tata Electronics, said the MoU aligns with the company’s roadmap and would “enable a reliable and resilient supply chain.” The companies expect their work to strengthen India’s domestic semiconductor ecosystem and support the development of geo-resilient electronics supply chains.

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A startup’s success has long been dominated by two figures, i.e., funding rounds and valuation multiples. Yet, as the digital landscape matures, a new metric of impact is emerging, particularly in India’s vibrant deep tech and AI sector.

For 2025, the Google for Startups Accelerator programme is not merely fostering growth; it’s engineering a fundamental, strategic shift in how Indian AI startups operate and compete on the global stage. The recently released Accelerator Impact Report paints a comprehensive picture of an ecosystem designed to tackle population-scale challenges while yielding unprecedented economic returns.

The economic impact of the accelerator’s portfolio has been positive. The 257 portfolio startups have achieved a high survival rate of 96%, secured $4.2 billion in post-programme funding, and collectively reached an overall valuation of $11.5 billion. Furthermore, they have spurred job creation, adding 25,900 new positions, and executed 27 exits.

Beyond Funding Metrics

The true measure of the accelerator’s value lies in how it helps startups achieve a demonstrable, strategic, competitive advantage by leveraging the “best of Google”.

As per Farish CV, the regional lead for AI startup programmes in India, “The measurable impact of the accelerator goes beyond standard funding and growth metrics.” The programme strategically categorises success into three key areas, demonstrating a focus on deep integration and operational excellence.

First, startups can optimise proprietary technology and improve cost efficiency by accessing Google AI platforms. Second, they can enhance core business performance and build market credibility through mentorship on their business models, ensuring products are financially successful. Third, there is a focus on precision partnerships and accelerated scaling, providing tailored support to address the specific challenges faced by high-potential startups.

For AI startups, efficiency is the new currency. The programme’s core offering is to enable startups to harness Google’s AI platforms, such as Gemini and Google Cloud, to deliver efficiency gains that provide a direct competitive edge.

SpotDraft provides a prime example of this success, he said. By integrating the Gemini API and utilising the Google Cloud Marketplace, the company achieved massive operational improvements in its AI contract management. The measurable results were significant: costs were reduced by 80%, accuracy increased by 30%, and latency decreased by 70%.

Similarly, in the EdTech space, Entri leveraged Gemini models to develop the ‘AI Teacher Assistant,’ resulting in a 20% increase in retention. Their ‘interview coach’ tool achieved an impressive 86% learner adoption rate and a 70% quiz completion rate.

Rahul Ramesh, co-founder and CTPO of Entri, highlighted the strategic product guidance, noting that “Product experts guided engineering decisions for an Android app, helping us achieve 16 million users and a 4.8 Play Store rating.”

Innovators are also moulding content creation and healthcare. Toonsutra is pioneering Indian-language webcomics, using Lyria and the Gemini model in Vertex AI for dynamic background music and realistic character speech, effectively creating a new frontier in digital storytelling in vernacular languages.

Meanwhile, Cloudphysician is transforming the capture of manual cardiac monitor data with an agentic AI platform that uses the Gemini API for reasoning. Their use of the Cloud Vision API digitises screen data into structured, queryable clinical information for automated analysis, achieving scalable data capture.

The mentorship provided by the programme extends past pure technology, deeply influencing the fundamental business model optimisation to ensure the product not only works technically, but also performs financially in the market.

Kroop AI achieved a strategic milestone by improving customer engagement by 40% and successfully optimising the pricing model for its deepfake detection platform. This strategic move solidified their market positioning and commercial viability. Co-founder and CEO Jyoti Joshi attested to the programme’s ability to build intangible assets, stating that it significantly “enhanced our visibility and credibility in the market”.

Participation in the programme has been a transformative experience for Kroop AI, Joshi said, adding that the mentorship and resources provided have significantly enhanced the startup’s visibility and credibility in the market. “We’ve gained valuable insights into scaling our operations and refining our product offerings.”

The strategic goal is to compress the time-to-market and time-to-scale, making Google “an integral part of their journey” rather than just a vendor.

Madhav Bhagat, co-founder and CTO of SpotDraft, echoed the same sentiments: “Their expert guidance and mentorship on UX, AI integration, and cloud cost optimisation streamlined our product development and helped us scale faster”.

The High-Impact AI Ecosystem

Google has established itself as a committed partner to India’s digital economy. As AI solutions advance, the goal is to develop an ecosystem that is high-impact, deep tech, sustainable, and innovation-focused.

“Our role here is to work with startups to focus on genuine AI solutions that tackle India’s population-scale challenges, such as healthcare accessibility and financial inclusion,” Farish added. He said that their unique approach rests on strategic pillars that provide high-potential startups with specific advantages.

Firstly, startups gain deep access to the “Best of Google”. This means connecting with top experts across over 20 teams, providing support in technology, Go-to-Market (GTM) strategy, and best practices in product, design, and leadership.

Secondly, the programme delivers precision mentorship. This goes beyond generic advice, offering tailored support based on OKRs (Objectives and Key Results), ensuring mentorship addresses specific startup challenges rather than general problems.

Finally, a major focus is placed on AI-First Innovation. This involves actively helping startups adopt and optimise AI, leveraging Google’s cutting-edge AI technology to accelerate their solutions.

A History of Success

The current wave of 2025 AI success builds on a robust history of high-impact portfolio startups that joined the accelerator as small teams.

The 2016 cohort saw the rise of ShareChat, an Indic language social media platform that achieved unicorn status in 2021. More recently, the 2022 cohort included VideoVerse, an AI-powered video editing and content creation platform that was acquired by Minute Media, marking one of the largest media-tech and AI exits in India.

Pioneering deep-tech innovators include Niramai from the 2018 cohort, a startup addressing breast cancer detection with a non-invasive, radiation-free, AI-based solution.

Another standout from the 2022 cohort is BrainSight AI, which focuses on AI-powered neuro-diagnostics and prognostics. This startup was also named one of the Top 100 most promising AI startups worldwide by CB Insights.

In 2025, Google’s commitment goes beyond acceleration; it is an active investment in India’s technological future. By integrating AI and deep tech expertise, the programme is positioning Indian AI startups to lead the next era of global AI innovation.

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Agentic vibe-coding platform Emergent has received an undisclosed investment from Google’s AI Futures Fund. The company will use the investment to accelerate talent hiring, product development, and global expansion, it said in a statement.

Emergent’s agentic AI platform allows users, especially early-stage startups, to build production-grade applications with autonomous agents, removing the need for developers, capital, or technical co-founders.

The Bengaluru-based company has recorded rapid adoption, crossing 2.5 million users and reaching a $25 million ARR run rate since it launched in July 2025. In September, it raised $23 million in Series A funding, with Lightspeed leading the round, bringing total financing to $30 million.

Speaking on the latest capital infusion, Mukund Jha, co-founder and CEO of Emergent, said, “Not every business founder has the technology expertise or resources to make their dream a reality. With Emergent, we’re giving small business owners, creators, and entrepreneurs the tools to bring their vision to life, no matter the complexity.”

“We’re honoured to be supported by Google’s AI Futures Fund and are excited to leverage Google’s industry-leading AI technology to further empower Emergent for our rapidly growing user base,” he added.

Google’s AI Futures Fund, launched in May 2025, provides AI startups with capital, technical support, and early access to Google’s AI models. The fund recently partnered with Accel to co-invest up to $2 million in early-stage AI startups in 2026.

Jonathan Silber, co-founder and director of the AI Futures Fund at Google, noted the fund aims to enable startups to expand their generative AI capabilities.“Emergent’s work is helping people make their ideas a reality, breaking down barriers, and democratising access to the tools businesses need to build their technology stack. We look forward to supporting them on their journey as they build with Gemini 3, and we can’t wait to see what they do next,” he said in a statement.

Emergent said its platform enables side hustlers, small businesses, and solo founders to build applications without engineering teams.

Co-founder Mukund Jha studied at Columbia Engineering and previously worked at Google. He also earlier co-founded hyperlocal delivery startup Dunzo. His brother, Madhav Jha, worked as an AI scientist at Amazon and later as a machine learning engineer at Dropbox before co-founding Emergent in 2025.

Emergent faces competition from Lovable, Replit, and Rocket.new in the vibe-coding market.

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Nagarro has become an OpenAI Services Partner and joined its network to push industry-scale adoption of OpenAI tools across Asia Pacific. The company will support enterprises using the OpenAI API and ChatGPT Enterprise.

Nagarro will guide organisations as they explore, implement and scale generative AI. The company says its advisory and engineering teams help enterprises deploy AI responsibly and weave it into core work to raise productivity and long term value.

Rahul Mahajan, global CTO at Nagarro, said, “Our focus is on enabling clients to apply generative AI to real business problems, from automation and decision support to customer experience and operational efficiency, with the structure, governance, and engineering rigor that large organisations require.”

Anthony Russell, APAC partnerships lead at OpenAI, said, “Nagarro has strong experience helping enterprises adopt generative AI solutions built on OpenAI models. As a Services Partner, they support customers in deploying AI responsibly, building internal capability and realising long-term value across a range of industry use cases.”

Nagarro works across retail, financial services, healthcare, manufacturing, logistics and telecom. The company cites strengths in data engineering, AI, automation and enterprise transformation. Its Fluidic Intelligence framework uses AI native engineering to improve workflow and reduce friction.

Nagarro is expanding its AI capability through centres of excellence, research on agentic systems and enterprise enablement programs. Its teams design, test and scale AI systems for large organisations and support responsible rollout across complex environments.

Recently, OpenAI also formed a wide collaboration with Accenture that aims to push enterprise AI deeper into large companies, starting with Accenture’s own workforce. The firm will roll out ChatGPT Enterprise to tens of thousands of its employees, which the company says is the largest group to be upskilled through OpenAI Certifications.

The post Nagarro Ties Up With OpenAI to Drive Enterprise AI Adoption appeared first on Analytics India Magazine.

MachineCon GCC Summit 2025 set the stage for India’s GCC leaders to imagine the next era of work powered by generative AI. From capability building to technology breakthroughs, the conversations pointed to a rapidly evolving future.

To honour those shaping this transformation, AIM presented its GCC Excellence Awards across areas like talent, operations, collaboration and emerging tech.
Here’s a rundown of the winners and the breakthroughs that put them on the map.
Align Technology
Award category: Excellence in Talent Development and Management

Align Technology is the maker of the Invisalign® clear aligner system, iTero introral scanners and services, and exocad CAD/CAM software. Over 27 years, Align has helped doctors treat patients worldwide and built a workforce that drives continuous innovation in digital orthodontics. Its integrated Align Digital Platform powers seamless workflows for clinicians and labs, improving patient outcomes and practice efficiency.

With 2,66,000 doctor customers and a 600-million-strong consumer market opportunity, Align’s talent strategy underpins its global leadership in digital dentistry, scaling expertise across engineering, manufacturing and clinical transformation.
Allianz Partners Global Business Solutions (APGBS GSD India)
Award Category: Leadership in Sustainability and CSR

Allianz Partners Global Business Solutions India was established in 2021 and now operates from Gurugram SEZ. The centre provides multilingual support across 12 countries, offering services in claims, customer experience, business intelligence, automation, telephony and conversational AI. With a future-ready workforce and an integrated right-shoring strategy, APGBS GSD India functions as a centre of excellence for global operations.

Its commitment to responsible growth, inclusive culture and sustainable service delivery reflects Allianz Partners’ long-term focus on socially conscious, resilient and environmentally aligned business models.

Cargill India Capability Centre
Award Category: Best Innovation in Process Optimisation

Since its founding in 2015, Cargill’s India capability centre, operating from Bengaluru and Gurugram, has grown to more than 3,000 employees and transformed from a resource hub into a strategic capability powerhouse. It supports global functions in finance, digital technology, data, logistics, procurement, trade execution and HR. The centre has driven Cargill’s mission of ‘Nourishing the World’ by embedding automation, advanced analytics and modern operating models to accelerate decision-making, improve efficiency and ensure safe, responsible and sustainable operations worldwide.

Carrier Digital Hub India
Award Category: Outstanding Contribution to Digital Transformation

Carrier’s Digital Hub India was celebrated for spearheading the company’s global digital reinvention. Established in 2019, the hub has grown into Carrier’s largest digital workforce, connecting operations in India, Mexico and China through the Connected Hubs model. With a 700-member team across AI, data science, IoT, cloud, cybersecurity and digital engineering, it serves as a digital twin to Carrier’s headquarters. The hub drives next-generation platforms like Abound and Lynx, powering intelligent buildings and cold-chain visibility. Through innovation labs, leadership programmes and an expanding AI centre of excellence, Carrier Digital Hub India anchors the company’s shift towards an AI-first future.

Cisco Systems
Award Category: Outstanding Contribution to Digital Transformation

As a global technology leader in networking, cybersecurity and cloud infrastructure, Cisco Systems has been rapidly infusing AI and automation across its product ecosystem. Key innovations include Cisco Unified Edge, which brings data centre-grade computing closer to where data is generated, and Cisco IQ, an AI-driven interface that simplifies network management with real-time insights and proactive issue resolution. By integrating advanced automation, predictive analytics and secure architectures, Cisco continues to redefine enterprise

DarioHealth
Award Category: Emerging Technology Pioneer

DarioHealth was recognised as an Emerging Technology Pioneer for its global leadership in digital therapeutics and AI-enabled chronic care. Its India global capability centre, founded in 2018 and acquired in 2021, has become the company’s engine for innovation, housing end-to-end R&D and engineering talent. The GCC accelerates product development, strengthens AI-led personalisation and enhances operational agility. By centralising expertise, DarioHealth has improved its ability to scale, integrate acquisitions and reduce operating costs. The company’s multi-condition digital health platform supports millions of users globally, transforming chronic disease management through data-driven insights, behavioural coaching and continuous digital monitoring.

Dentsu Global Services
Award Category: Excellence in Talent Development and Management

Dentsu Global Services (DGS) was honoured for its forward-looking talent strategy and its role as a global innovation engine for the Dentsu network. With over 5,600 specialists across digital platforms, performance marketing, product engineering, data science, automation and AI, DGS blends human creativity with advanced technology to deliver scalable, AI-first solutions. The centre drives media and marketing transformation for global clients while fostering a workplace built on diversity, collaboration and continuous learning. As a future-focused talent hub, DGS offers global career pathways, innovation opportunities and a culture designed to help employees contribute to work that shapes the future.

Best Buy
Award Category: Best Innovation in Process Optimisation

Best Buy was honoured for innovation in process optimisation through its seamless integration of human expertise and technology. As a global consumer electronics leader, Best Buy connects millions of customers to devices, services and in-home solutions while enhancing efficiency across its retail, digital and logistics operations. The company blends data-driven tools with personal consultation to refine inventory management, streamline omnichannel experiences and elevate customer support. Its focus on sustainability, inclusion and operational excellence has strengthened its competitive edge. Best Buy’s approach ensures that technology is not just a product offering but a catalyst for meaningful, customer-centric transformation.

Pattern
Award Category: Excellence in Talent Development and Management

Pattern received recognition for its talent-driven growth and its evolution from a startup, founded in 2013, into a global ecommerce accelerator. Built on trillions of data points and a unique buy-and-sell model that aligns fully with partner brands, Pattern now operates across over 60 marketplaces with 1,800 experts globally. Its Pune office, launched in 2021, has become the company’s HQ2—an innovation and talent hub powering technology development, marketplace optimisation and global operations. With strong investment in skills, data science and digital commerce capabilities, Pattern continues to scale rapidly, enabling brands worldwide to grow profitably.

Warner Bros. Discovery
Award Category: Outstanding Contribution to Digital Transformation

Warner Bros. Discovery was recognised for its sweeping digital transformation across its vast entertainment portfolio. As a global content powerhouse spanning television, streaming, film, gaming and factual entertainment, the company has expanded its use of digital platforms, data insights and AI-driven workflows to modernise production, distribution and audience engagement. Through brands such as HBO, CNN, Discovery Channel, DC, Eurosport and Warner Bros. Pictures, the organisation is reimagining content delivery for the streaming age. Its innovation-led approach supports scalable operations, richer viewer experiences and a future-ready digital ecosystem that strengthens one of the world’s most influential media companies.

The post Presenting the Winners of the GCC Excellence Awards 2025 appeared first on Analytics India Magazine.

Amazon Web Services (AWS) sees India as a very important market and is deepening its commitment by scaling partnerships, expanding Marketplace access, and training local talent.

The company announced plans to expand the use of AI across the country by 2030, aligning with the Government of India’s AI Mission. Amazon India said it is on track to invest $12.7 billion in local cloud and AI infrastructure, which will support more than 15 million small businesses through its various businesses.

On the sidelines of AWS re:Invent 2025 in Las Vegas, Praveen Sridhar, who oversees partnerships for AWS in India and South Asia, told AIM how the cloud giant is adding more partners, helping more companies adopt AI, and expanding into tier-2 and tier-3 cities.

He said the company wants to make its technology useful for businesses and easy for people to access across India. “Our customers want solutions. They want innovation to translate into business outcomes,” Sridhar added.

Building Business Outcomes Through Partnerships

The cloud giant recently launched AWS India Marketplace, which allows customers to transact in INR and simplifies procurement.

Customers can discover, purchase, and deploy software, data products, and services from India-based vendors directly in Indian Rupees, which is especially helpful for small and medium-sized businesses (SMBs).

Marketplace now offers over 30,000 transactable products worldwide, spanning more than 70 software categories, including security, agentic AI tools, DevOps, and data and analytics.

“This is extremely important for SMBs who don’t want to spend significant time procuring. They need a solution, they want to go and buy it,” said Sridhar. He further explained that AWS has made the Marketplace fully tax-compliant, so buyers and sellers don’t have to deal with any extra tax-related steps.

At launch, 37 partners listed 43 solutions on the India Marketplace, including offerings from Deloitte, CrowdStrike and Salesforce. “We are now able to bring the best of global technology to India through the Marketplace,” Sridhar said.

Companies such as Swiggy, Tata Consultancy Services (TCS), and Observe.AI are already using the service.

Moreover, to accelerate AI deployments among enterprises, Sridhar said AWS has introduced the GenAI Competency Partners to help enterprises gain credibility, resources, and expertise.

These are members validated for their technical proficiency and proven customer success in implementing generative AI solutions.“GenAI competency partners have been able to take 30% faster AI use cases to production than non-competency partners,” Sridhar said.

For instance, ShellKode, a GenAI and data-driven solutions provider, entered into a multi-year strategic collaboration agreement (SCA) with AWS to speed up the adoption of Generative AI and Agentic AI across India.

Under this collaboration, ShellKode uses AWS tools such as Amazon Bedrock and Bedrock Agents to support enterprises in sectors like financial services, retail, logistics, and healthcare as they scale GenAI adoption and develop industry-specific AI agents.

“ShellKode has actually built AI agents and digital twins which help companies create a digital copy of their entire physical environment,” said Sridhar. The company has already deployed agentic AI solutions for organisations, including Metropolis Healthcare Limited, XpressBees, and 1Pharmacy Network.

Deloitte is also working with AWS as a GenAI Competency Partner.

Further on the innovation side, Sridhar added that new offerings such as Frontier agents, Nova Forge, and advanced chips like Tranium and Inferentia further support AI scalability and cost efficiency. “Scaling requires the ROI to work out. Our innovations in chipsets help make that real,” he said.

Besides that, Sridhar also mentioned that the new frontier agents launched by AWS will increase developers’ productivity.

Betting Big on India

AWS has committed to investing in cloud and AI infrastructure projects in Mumbai and Hyderabad. “This needs to be backed with the talent that can utilise all that innovation,” Sridhar said, adding that AWS has trained 6.2 million people in India so far.

Amazon also committed to bringing AI literacy and career awareness to four million students in government schools by 2030 through curriculum support, hands-on learning and teacher training.

At the same time, AWS’ partner network is pushing its services further into smaller cities. Distributors such as Redington, Ingram Micro Cloud and Crayon are helping drive this regional expansion. Meanwhile, examples like Workmates in Kolkata show that strong regional hubs are beginning to emerge.

Amazon has also introduced several AI-led improvements for small businesses, including improvements to its Seller Assistant, which now uses agentic AI to understand business context and analyse goals.

The company said the Next Generation Seller Central interface will help sellers make decisions faster, while GenAI tools for listings allow sellers to create product descriptions in minutes using short text, images or website URLs.

Creative tools such as Creative Studio and Video Generator are being expanded to support advertising and video creation for businesses of all sizes.

Moreover, Sridhar said AWS Local Zones in cities like Bengaluru, Kolkata and Delhi are bringing low-latency compute closer to customers, supporting use cases in manufacturing, IoT and real-time applications.

Together, these investments and initiatives reflect AWS’s broader strategy to build local capability while helping more businesses across India to adopt cloud and AI technologies.

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