Рубрика: AI

The Walt Disney Company (Disney) has accused Google of large-scale copyright infringement, according to multiple media reports citing a copy of a cease-and-desist letter the company sent on December 11.

The letter, reviewed by outlets including Variety and Axios, alleges that Google copied a substantial portion of Disney’s copyrighted catalogue without permission to train its generative AI models and then used those models to reproduce and distribute Disney-owned characters, images, and other creative assets.

According to the reports, Disney’s counsel at Jenner & Block wrote that Google is infringing the company’s copyrights “on a massive scale” by ingesting Disney content into its AI training pipelines and by outputting derivative works through services such as Gemini, Imagen, and Veo.
The letter, as reported by Variety, describes Google’s AI products as functioning like a “virtual vending machine” that can generate unauthorised images and renderings of characters from franchises including Frozen, Moana, The Lion King, Marvel, Pixar, and Star Wars.

Some outputs, Disney argued, appeared with Google’s branding, creating the false impression that the reproductions were licensed.

Disney has demanded that Google immediately stop copying or generating content derived from its intellectual property and restrict the availability of such outputs on YouTube, Shorts, and other Google platforms.

The company also noted in the letter that it had raised concerns with Google over several months but saw no meaningful corrective action.

The confrontation landed during the same week Disney announced a billion-dollar licensing and investment deal with OpenAI that will allow its characters to appear in Sora and other OpenAI media tools under formal commercial terms.

This will allow Sora, OpenAI’s generative video platform, to create short, user-prompted social videos featuring more than 200 characters from Disney, Marvel, Pixar and Star Wars.

The deal also includes a $1 billion equity investment in OpenAI, along with warrants to purchase additional equity.

The transaction remains subject to definitive agreements, corporate and board approvals, and other closing conditions. Sora and ChatGPT Images are expected to begin generating Disney-licensed content in early 2026.

The post Soon After $1 Bn OpenAI Deal, Disney Accuses Google of AI Copyright Infringement appeared first on Analytics India Magazine.

The Telangana government on Thursday announced global majors, including Costco and Stolt-Nielsen, are reportedly establishing their global capability centres (GCCs) in Hyderabad, further strengthening the city’s position as a premier technology hub. The announcement comes soon after the Telangana Rising Global Summit at Bharat Future City.

American retail giant Costco, with annual revenues of $270 billion, will set up a GCC that is expected to scale to over 500 employees. The Hyderabad centre will act as the company’s global technology backbone, supporting digital platforms, data and AI initiatives, supply chain systems and enterprise operations.

UK-based bulk logistics leader Stolt-Nielsen will launch a digital innovation centre in the city. The facility will become its global hub for product development, DevOps and next-generation digital capabilities spanning software engineering, data and analytics, automation, and operational systems.

Meanwhile, US financial services multinational Western Union confirmed the establishment of its second India GCC in Hyderabad, focused on platform engineering, advanced digital transformation and strategic technology initiatives.

The centre, developed in partnership with HCLTech under a Build-Operate-Transfer (BOT) model, is expected to employ over 400 professionals.

Rajeev Mago, head of India technology centres at Western Union, said the upcoming facility will play a key role in accelerating the company’s long-term digital expansion.

Senior leaders from all three companies cited Hyderabad’s world-class infrastructure and deep talent pool as significant factors influencing their decision to invest in the city.

Meanwhile, Google and the Telangana government have launched the Google for Startups Hub at T-Hub in Hyderabad, which includes a dedicated space to support the growing startup ecosystem.

Google will engage with regional startups from Telangana through a dedicated Hub, providing free year-long coworking spaces for selected AI-focused startups and access to curated venture investors.

The post Costco, Western Union & Stolt-Nielsen to Set Up GCCs in Hyderabad appeared first on Analytics India Magazine.

Meta has appointed Aman Jain as its new head of public policy in India, the company announced on December 11, 2025. Jain will join early next year and report to Simon Milner, vice president of policy for Asia Pacific (APAC). He will also be part of Meta’s India leadership team.

Jain brings over two decades of experience in public policy and business strategy. He has previously worked with Amazon, Google, the Government of India, and international bodies.

At Google India, he served in senior roles, including country head for Government Affairs & Public Policy. Most recently, he was director of public policy at Amazon, where he led policy strategy across marketplace, operations, competition, and technology.

Confirming the appointment, Milner said, “India is a strategic market for Meta. As the country’s digital economy accelerates across areas such as AI, emerging tech and the creator economy, Meta aims to help build a more inclusive, trusted, and future-ready internet ecosystem for India.”

Jain will lead Meta’s policy strategy and engagements in one of its largest markets. Milner said Jain’s background in public policy and technology would support Meta’s efforts to work more effectively with regulators and industry groups on shaping a conducive policy framework, and that he is expected to strengthen the APAC policy leadership team.

The post Meta Appoints Aman Jain to Oversee Public Policy in India appeared first on Analytics India Magazine.

Drone tech startup ideaForge Technology and the Centre for Development of Advanced Computing (C-DAC) have signed a Memorandum of Understanding (MoU) to integrate drones into India’s emergency response system.

The move aims to cut response time by linking ideaForge’s FLYGHT drone network with C-DAC’s Emergency Response Support System (ERSS), also known as Dial 112. The firms will also conduct research on UAVs (unmanned aerial vehicles), semiconductors, and data technologies.

The MoU also sets a plan to evaluate the C-DAC’s VEGA Processor chips family for UAV use, explore system-on-chip designs and study autonomous drone swarms powered by AI. Both groups will run joint training and research programmes to support India’s deep tech push.

The partnership will use the FLYGHT CLOUD platform—a cloud-based drone data management and analytics solution—as a rapid first response tool. It aims to address how agencies can deploy drones to provide real-time information to police, fire, and medical teams. The MoU outlines how both organisations will collaborate, what technologies will be explored and how integration will function in live operations.

Sachin Pukale, AGM, product management at ideaForge, said in a statement, “Integrating FLYGHT with ERSS will allow Automated Aerial Dispatch of drones to reach incidents within minutes and provide critical situational awareness intelligence to responders on the ground.” He added that the system supports data-driven decisions through an open architecture that can link with third-party tools.

ideaForge said emergency teams will gain quicker situational awareness when drones reach an incident before ground units. The company stated that FLYGHT allows agencies to use drone services without owning hardware or training specialised staff, as well as enabling state governments to adopt drone support at scale.

C-DAC said the collaboration will support the secure handling of drone data for public safety operations. It noted, “Our collaboration with ideaForge opens new opportunities to harness drone-generated data for faster decision-making, especially in emergency response scenarios.”

ideaForge and C-DAC said the partnership aligns with national goals for secure digital infrastructure and indigenous technology. They aim to support the Aatmanirbhar Bharat initiative by providing UAV platforms that meet safety and data governance requirements.

The post C-DAC, ideaForge Sign MoU to Use Drones for Faster Emergency Response appeared first on Analytics India Magazine.

At the Microsoft AI Tour held in Mumbai on December 12, Microsoft CEO Satya Nadella announced MahaCrimeOS AI, a platform that offers AI tools to fight cybercrime.

The platform, powered by Microsoft’s cloud platform Azure, is developed by CyberEye, a network security company and an independent software vendor of Microsoft, along with Maharashtra government’s special purpose vehicle MARVEL, and the Microsoft India Development Centre.

MahaCrimeOS AI is currently live in 23 Nagpur police stations, and Maharashtra Chief Minister Devendra Fadnavis proposed its future expansion to all 1,100 police stations across the state.

The platform supports officers by handling routine investigative tasks—creating cases instantly, extracting information across languages, and providing contextual legal guidance.

The platform brings together multiple AI assistants, automated workflows, and secure cloud infrastructure.

It also enables built-in access to India’s criminal laws using retrieval-augmented generation (RAG), a technology which pulls relevant statutes and precedents from approved sources to ground AI responses in accurate legal material.

It helps investigators to link related cases, analyse digital evidence, and respond to emerging threats more quickly and precisely.

“Our collaboration with Microsoft began with solving complex cybercrime challenges, but its potential is far greater,” said Fadnavis.

“AI today touches every sphere of human activity, from healthcare and agriculture to industry and governance, and we intend to harness this power responsibly to create a more effective, citizen-centric state.”

Ram Ganesh, CEO, CyberEye, said, “Our collaboration with Microsoft and MARVEL has enabled us to empower cutting-edge officers even in remote parts of the state to solve complex cybercrime investigations with ease and reduced workloads.”

Using the platform, Microsoft stated that FIR creation dropped to 15 minutes due to automated data extraction. Tasks that previously took 2–3 months are now completed in about a week.

Besides, investigators who could earlier manage one case per month now handle 7–8 cases.

In the last few days, Nadella was present in India, where the company hosted an AI tour across Delhi, Bengaluru and Mumbai.

Notably, the company announced a $17.5 billion investment in India over four years (2026–2029) to expand cloud and AI infrastructure, skilling programmes and ongoing operations.

The company also said it will expand partnerships with Cognizant, Infosys, Tata Consultancy Services, and Wipro, positioning the four Indian IT majors as “frontier firms” in the global adoption of agentic AI.

Each company will deploy more than 50,000 Microsoft Copilot licenses, collectively exceeding 200,000 seats, the company said.

The post All Maharashtra Police Stations to Get Microsoft-Powered AI Cybercrime Tool appeared first on Analytics India Magazine.

Artificial Intelligence (AI) is reshaping enterprise technology far beyond algorithms. While AI adoption is accelerating across enterprises, the rush to embed agents into every workflow has introduced a new wave of technical missteps.

The AI wave has forced enterprises to rethink everything from infrastructure automation to testing practices, said Bharani Subramaniam, Thoughtworks CTO for India and the Middle East. He cautioned that despite the rise of agents and code generation, the industry is still learning where autonomy ends and human oversight begins.

In a conversation with AIM, Subramaniam explained how accelerated compute, agentic systems, and autonomous workflows are pushing organisations into a new phase of real production adoption, not mere experimentation.

Workloads Become Heterogeneous

AI infrastructure now spans specialised chips, GPU fleets and advanced orchestration layers, he said, adding that the automation layer is finally catching up. Cloud providers and hardware vendors are coming up with tools to manage GPU-heavy workloads that behave very differently from traditional microservices.

Where infrastructure-as-code became standard for CPU clusters, the same discipline is only now arriving for AI workloads. He cited Thoughtworks latest report ‘Technology Radar,’ where the company describes the phenomena in detail.

He explains that the current reality in accelerated computing, driven by the intense demand for GPUs, is that organisations often need to source these resources from multiple providers. For instance, a client might use GPU-equipped workstations in their own data centre and also procure GPUs from one or more cloud providers (e.g., AWS, Azure, GCP).

Subramaniam added that securing a large number of GPUs from a single vendor is extremely challenging right now. To address this multi-vendor environment, critical infrastructure platforms have emerged from Thoughtworks.

One such platform, SkyPilot, is utilised by teams to manage workloads across disparate GPU sources, say, five from Azure, three from AWS, five from Google Cloud Platform (GCP), or even specialised GPU cloud providers. This capability demonstrates how infrastructure automation in the AI space has successfully adapted to the complexities of the present-day market reality.

Software Testing Is Evolving

Amid anxieties about AI automating testers out of the picture, Subramaniam offered a grounded view.

The number of tests may increase dramatically, but human oversight becomes even more crucial. “If a human team wrote it, they would have written 200 tests. [But] the AI model would have written 2000 tests, right?” he quipped.

“You still need to spend time to vet, is it valid? not valid? and fine-tune the generation.”

That would be extra work, even though AI has generated it, he continued. But still, that wouldn’t be as tedious as writing the tests “yourself”.

Efficiency rises, he said, but not to a point where humans disappear. “With AI, maybe you need three or four engineers to do the job… but we have not attained a level where I don’t need any humans.”

Subramaniam also warned of “complacency with AI-generated code,” an anti-pattern they flagged in their industry landscape report. Developers may implicitly accept AI-suggested solutions without evaluating alternatives.

“If you give [a] problem to any model…you are given a solution, whether that solution is good or not.”

“And implicitly, you get biased to accept that it is a valid solution, because then you have to review to prove this is wrong, right?” he said.

Agentic Workflows, Not Autonomous Agents

Despite the buzz around AI agents, Subramaniam stressed that true autonomy is rare in the enterprise. Most implementations remain tightly guided.

“They are more of a workflow where the actual path is pre-determined by a human,” he said. Agents can take non-deterministic steps within constraints, but cannot, for instance, wander off and perform actions outside a loan-processing workflow.

He said, “In the spirit of becoming agentic, some organisations rush to convert these APIs to be an MCP server, and then give agents access to these APIs. I would call it very naive.”

Takeaways for Leaders

Most Thoughtworks clients, he said, are now past the POC stage. “We are very much in the third phase where it’s not pilot, it’s actual production that they are using AI for,” he said.

Indian enterprises, especially in regulated sectors, are already shaping the sovereign AI landscape.

Strict data-localisation requirements are pushing companies to self-host inference inside the country.

“We have to ensure that the requests stay within India,” he noted.

Subramaniam summarised the conversation with three takeaways for business leaders. “Raise the level of literacy,” he said, stressing that AI understanding cannot remain confined to tech teams.

Second, enterprises “can only be as successful in AI as your trust in your old data,” calling for cleaner, more mature data systems. Finally, leaders must “reimagine what customer experience you want to give,” before deciding where agents and AI meaningfully fit.

The post Thoughtworks India CTO Warns Against the Naive Rush to Turn APIs into MCP Servers appeared first on Analytics India Magazine.

CAMB.AI, a global multilingual voice translation company, has partnered with Kompact AI, Bengaluru-based deep tech Ziroh Labs’ CPU-first AI platform. With the partnership. CAMB.AI aims to run its multilingual voice and translation models on regular CPU machines and remove the need for expensive GPU systems.

The UAE- and US-based company will utilise Kompact AI’s optimisation technology to run its CAMB.AI’s MARS7 (Multilingual Audio Rendering and Synthesis) and BOLI (Bilingual Online Language Interpreter) models. Kompact AI also supports real-time use on edge devices, including offline environments, enabling organisations to scale their voice AI systems using existing hardware.

CAMB.AI’s co-founder and CTO, Akshat Prakash, said the collaboration ensures enterprises “no longer need to choose between performance and accessibility,” adding that companies can now deploy MARS7 and BOLI models on standard CPU infrastructure while achieving broadcast-quality results across 150+ languages.
With the partnership, CAMB.AI looks to reduce AI inferencing costs by up to 50% while eliminating the need for quantisation or distillation, which can reduce accuracy.
Hrishikesh Dewan, co-founder and CEO of Ziroh Labs, highlighted that the collaboration creates “unprecedented opportunities for enterprises to deploy sophisticated AI without traditional barriers” and described the CPU-first runtime as a potential game-changer across industries from sports to education to healthcare. Kompact AI enables large language models to perform high core counts on CPU infrastructure, challenging the traditional GPU-centric model.
The integration supports a wide range of real-world applications, the company noted in a statement. Sports venues can run live multilingual commentary locally without relying on the cloud.

Hospitals can operate translation systems on-premises while ensuring regulatory compliance. Educational institutions can provide multilingual learning using their existing infrastructure. Global enterprises can enable real-time translation in meetings and customer service centres without expensive hardware upgrades.
With CPU-optimised MARS7 and BOLI models, CAMB.AI now looks to make scalable, high-quality multilingual AI accessible across industries, removing barriers that previously limited enterprise adoption.

Last month, CAMB.AI and Broadcom announced a collaboration that embeds CAMB.AI’s generative voice model, MARS, directly into Broadcom’s neural processing unit chipsets.

CAMB.AI has worked with brands including NASCAR, Major League Soccer, YES Network, the Australian Open, FanCode, and Comcast NBCUniversal to enable emotionally authentic multilingual dubbing for live sports.

The company has raised $18.3 million to date, according to Tracxn data, and operates across the US, Canada, APAC, Europe, the Middle East, and India markets. Its MARS generative text-to-speech model is available on AWS Bedrock and Google Vertex AI.

The post CAMB.AI, Kompact AI by Ziroh Labs to Optimise Voice Synthesis LLMs for CPUs appeared first on Analytics India Magazine.