Год: 2025

Karnataka has rolled out a wide set of incentives to pull IT and ITes growth beyond Bengaluru its the state’s new Information Technology (IT) Policy 2025–2030. The policy focuses on greener infrastructure, stronger talent pipelines, and lower operating costs for companies that expand outside the city.

The government will fund 40% of eligible R&D spending up to ₹5 crore for units across the state. Developers building new IT parks outside Bengaluru will get 20% of capital expenditure support, capped at ₹5 crore, after clearance from state committees.

The policy pushes talent creation. Companies will get half of the internship stipend for three months, up to ₹5,000 a month, with a limit of 100 interns. Recruitment assistance rises with hiring volume. Firms hiring 701 to 999 employees can claim 50% of recruitment costs up to ₹7 crore.

Units hiring more than a thousand workers will get a custom package. Companies shifting employees to regions outside Bengaluru will get half of relocation costs up to ₹50,000 per worker.

New employees hired in these regions will also draw ₹3,000 a month for two years if they stay for that period.

Skilling gets a push with 20% reimbursement of training costs, with higher support when candidates get hired. Faculty training programmes can get half of their training bills covered up to ₹10 lakh a cohort.

Operational support is a major part of the plan. Firms can claim rental assistance for the first year of commercial operations, with a cap of ₹50 lakh for larger teams. The government will reimburse half of the cost of quality certifications up to three times.

Patent filing support covers half of the statutory fees. Domestic patents can fetch up to ₹3 lakh for units outside Bengaluru. International patents can fetch up to ₹10 lakh in that region. Companies can shift from commercial to industrial power tariffs.

New units operating beyond Bengaluru will get full electricity duty reimbursement for five years and 30% property tax reimbursement for three years.

Companies moving outside the city will also get support for internet and telecom bills. The government will reimburse 25% of annual internet costs up to ₹6 lakh for three years.

The push is aimed at spreading IT growth across the state with clear financial incentives for expansion, talent development, and green infrastructure.

The Karnataka cabinet has approved two major policies — the Information Technology (IT) Policy 2025–2030 and the Space Technology Policy 2025–2030 on November 13 and announced the same at Bengaluru Tech Summit 2025 on November 18.

These policies aim to strengthen the state’s position as a leading technology hub in India. The Cabinet has set aside ₹967.12 crore to implement these initiatives over the next five years.

Under the new IT Policy, the government wants to increase software exports from ₹ 4.09 lakh crore to ₹ 11.5 lakh crore by 2030. It also wants to raise the IT sector’s share in Karnataka’s economy from 26% to 36%. The policy aims to create over 90 lakh direct and indirect jobs during this period.

The post Karnataka Unveils 16 Incentives to Push IT Outside Bengaluru appeared first on Analytics India Magazine.

Infosys has unveiled its AI-First GCC Model, a specialised offering designed to accelerate the creation and transformation of Global Capability Centres (GCCs) into AI-driven hubs for innovation and business growth.

The company in a release said the new model enables enterprises to reposition their GCCs as strategic engines that deliver agility, innovation and competitive advantage in an increasingly AI-first landscape.

The launch builds on Infosys’ track record of more than 100 engagements with GCC entities across industries, including setting up and managing centres for Lufthansa Systems, zooplus and Danske Bank.

Infosys said the AI-First GCC Model addresses the challenges enterprises face when scaling or modernising GCCs by providing a comprehensive path from setup to operational readiness, while embedding AI-led transformation through production-grade agents and a unified platform ecosystem.

Satish HC, EVP and chief delivery officer, Infosys, said that as enterprises transform GCCs into strategic hubs, Infosys is ready to accelerate their journey.

“Our AI-first approach, comprehensive GCC lifecycle capabilities, and global delivery excellence, uniquely position us to help clients unlock new value. Our dedicated GCC practice will offer speed, scale, and strategic depth essential for the next wave of enterprise transformation,” he said.

The offering integrates Infosys Agentic Foundry for building and scaling reliable production-grade AI agents, EdgeVerve AI Next as the unified platform for applied and agentic AI at enterprise scale, and Infosys Topaz to infuse AI-first services across the GCC lifecycle.

Infosys noted that its expertise in AI-led business process transformation further strengthens the model’s ability to help enterprises operate smarter and faster.

The company recently partnered with Lufthansa Systems to establish a dedicated GCC developing sustainable aviation IT products and data-driven solutions to enhance safety, efficiency, customer experience and competitiveness using generative AI capabilities from Infosys Topaz.

Infosys said the model unifies technology, talent and transformation capabilities to help clients convert their GCCs into scalable innovation engines that support global mandates and business growth.

It includes fully integrated lifecycle management for GCC setup and expansion, covering strategy, site selection, entity creation, recruitment and operational launch, as well as embedded AI capabilities aimed at improving efficiency, speeding time-to-market and unlocking new business opportunities.

The offering also leverages the Infosys Springboard digital learning platform and the company’s corporate university infrastructure to create a pipeline of future-ready talent tailored to enterprise needs.

Additionally, Infosys provides flexible operating models such as Build-Operate-Transfer, assisted builds, joint ventures and partner-hosted approaches to suit varying GCC strategies.
In the statement, Lufthansa Systems said its GCC with Infosys is helping build a future-ready innovation hub that improves aviation safety, efficiency and customer experience.

Danske Bank highlighted that its Infosys-run GCC is now core to executing its AI-first strategy, integrating AI across software delivery and business functions like customer service, compliance and risk.

Everest Group noted that Infosys’ GCC approach combines technology partnerships, AI investments, innovation labs, flexible infrastructure and a broad talent model to support enterprises through the full GCC lifecycle.

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The accelerating evolution of global capability centres (GCCs) and their growing strategic influence on multinational enterprises was a topic of deep discussion during a session at the Bengaluru Tech Summit 2025, where leaders from healthcare, insurance and retail examined how India’s GCCs are reshaping global business value.

In a panel titled ‘Redefining Global Business Through GCCs – The Value Matrix’, industry heads from Siemens Healthineers, Swiss Re and JCPenney discussed the shift from cost-driven operations to ownership, innovation, AI-led transformation and enterprise-level impact.

They argued that India’s GCCs must now be measured by business outcomes, not cost arbitrage.

The discussion featured Kaushik Das, managing director of JCPenney; Amit Kalra, managing director and head of Swiss Re Global Business Solutions; and Kalavathi GV, executive director and head of the global development centre at Siemens Healthineers.

Opening the conversation, Kalavathi said the rapid growth of GCCs, now nearly 1,800 in India, has pushed centres beyond execution to owning the “why” behind their work.

Using med-tech as an example, she said value today is defined by business impact, such as patient touchpoints, IP generation, global roles, time-to-market improvements and taking products from concept to scale.

For Siemens Healthineers, Kalavathi revealed, India now houses over half of its software engineering workforce and leads end-to-end development of products like the mobile C-arm surgical imaging system, which is designed and manufactured in India and exported globally.

AI-enabled diagnostics, including a radiology companion that can increase reporting efficiency by up to 43%, are also being developed at the India centre, positioning the country as a driver of both innovation and access, she added.

Kalra stressed that true value creation requires aligning Indian centres with the enterprise’s core purpose rather than treating GCCs as separate entities.

In insurance and reinsurance, he added, the business value chain, actuarial, underwriting, modelling, risk management and technology, must remain integrated, and India’s contribution should be measured by its role in global outcomes.

He described how Swiss Re’s early accelerator model had evolved from “letting a thousand flowers bloom” into a focused innovation strategy tied directly to business priorities.

He noted that while India’s talent base and ecosystem have matured, the industry is still heavily execution-led, with only a small share of global strategic roles located in GCCs.

The next leap, he said, must be a shift from execution to ownership, supported by domain expertise, leadership depth and distributed decision-making.

Kaushik Das said retail GCCs have become essential to driving customer-facing outcomes, with India teams increasingly making core business decisions, from assortment and sizing to store dispatches.

In the newly formed Catalyst brands group, which includes JCPenney, he said the key value metric is elevating customer satisfaction, and GCCs contribute through both ground-up and top-down innovation.

He cited examples, including augmented-reality beauty solutions developed in India, and said that the maturity of retail GCCs now allows them to deploy disruptive solutions globally.

Value, he said, is no longer about reporting cost metrics but about directly influencing enterprise-level goals.

A debate on whether GCCs should separately report value metrics saw all three leaders agree that measures must mirror those of the enterprise.

Kalra argued that creating GCC-specific metrics distances centres from headquarters and undermines one-team culture.

He said hygiene indicators like engagement, diversity, attrition and operational resilience are necessary, but strategic metrics should tie back to global KPIs and business impact.

Kalavathi added that value metrics should highlight revenue influence, compliance, IP and customer outcomes, while Das said the true test of a mature centre is its place in the company’s strategic roadmap.

On generative AI, Kalavathi said the healthcare sector is using AI models to bridge workforce shortages and accelerate clinical decision-making, with India playing a major role in integrating AI into global product lifecycles.

Siemens Healthineers’ GenAI Centre of Competence in India, she said, works across functions to speed up R&D, customer service, marketing and operational processes.

Kalra said organisations need a dual approach, prioritising high-impact, top-down AI initiatives and democratisation, ensuring every employee improves productivity through AI.

Das added that GCCs must strengthen data readiness, infrastructure, workforce education and ecosystem partnerships before scaling AI applications.

Closing the session, the panel offered brief calls to action for GCC leaders. Kalra called for boldness and courage, while Das said leaders must stay aligned with enterprise strategy and “own” their mandates.

The post Why Purpose, Ownership & Measurable Business Outcomes Will Decide the Future of GCCs appeared first on Analytics India Magazine.

Google on Tuesday announced Gemini 3, calling it another big step on the path toward AGI.

“It’s state-of-the-art in reasoning, built to grasp depth and nuance — whether it’s perceiving the subtle clues in a creative idea, or peeling apart the overlapping layers of a difficult problem,” said Google CEO Sundar Pichai in a statement.

Google said it is rolling out Gemini 3 across its major products, including Search. The model is now live in AI Mode in Search with expanded reasoning capabilities and new dynamic experiences.

The model is also available in the Gemini app, as well as to developers through AI Studio, Vertex AI and Google’s new agent-focused development platform, Google Antigravity.

Demis Hassabis, CEO of Google DeepMind, and Koray Kavukcuoglu, the company’s CTO and chief AI architect, announced in a joint statement that Gemini 3 Pro is now available in preview.

“We’re beginning the Gemini 3 era,” they said, noting that the model is being integrated into Search, Workspace, the Gemini app and developer platforms.

Google said Gemini 3 Pro outperforms Gemini 2.5 Pro, OpenAI GPT-5.1 and Claude Sonnet 4.5 across major AI benchmarks, including LMArena, Humanity’s Last Exam, GPQA Diamond and MathArena Apex.

The company highlighted improvements in multimodal capabilities, citing scores of 81% on MMMU-Pro and 87.6% on Video-MMMU. It also recorded 72.1% on SimpleQA Verified, a measure of factual accuracy.

The launch also introduced Gemini 3 Deep Think, an improved reasoning mode. Google said it scores 41% on Humanity’s Last Exam, 93.8% on GPQA Diamond and 45.1% on ARC-AGI-2 with code execution. “Deep Think pushes the boundaries of intelligence even further,” the company said.

With broader multimodal input, longer context and new planning abilities, Google said users can apply Gemini 3 to tasks such as analysing research papers, translating handwritten family recipes, generating visualisations, or evaluating sports performance. In Search, AI Mode now supports generative UI elements and interactive simulations.

For developers, Google launched Google Antigravity, an agent-first development platform built around Gemini 3. The company said Antigravity allows agents to “autonomously plan and execute complex, end-to-end software tasks” with direct access to an editor, terminal and browser. Gemini 3 also integrates with tools including Google AI Studio, Vertex AI, Gemini CLI, Cursor, GitHub, JetBrains and Replit.

The model’s long-horizon planning was cited as another improvement. Google said Gemini 3 Pro leads the Vending-Bench 2 leaderboard, sustaining consistent decision-making over a simulated year of operations.

Subscribers to Google AI Ultra can access these agentic capabilities through Gemini Agent in the Gemini app.

Google emphasised expanded safety testing, saying Gemini 3 has undergone its most extensive evaluations to date, including assessments by external partners such as Apollo, Vaultis and Dreadnode.

“Gemini 3 is our most secure model yet,” the company said, noting reduced sycophancy, better prompt-injection resistance and stronger protection against misuse.

The post Google Launches Gemini 3, Claims Benchmark Lead Over GPT-5.1 and Claude Sonnet 4.5 appeared first on Analytics India Magazine.

Microsoft, NVIDIA and Anthropic on Tuesday announced a series of new partnerships that reshape how Anthropic’s Claude models will be scaled, deployed and accessed across major cloud platforms.

At the centre of the announcement is Anthropic’s decision to scale its Claude AI systems on Microsoft Azure, backed by NVIDIA infrastructure.

Anthropic has committed to purchase $30 billion in Azure compute capacity, with the option to contract up to one gigawatt of additional compute. The move will expand Claude’s availability for Azure enterprise users and increase model options through Microsoft Foundry.

Moreover, NVIDIA and Microsoft will invest up to $10 billion and up to $5 billion, respectively, in Anthropic as part of the deal.

The investment follows Anthropic’s $13 billion Series F round in September, led by ICONIQ, which valued the company at $183 billion post-money. Fidelity Management & Research Company and Lightspeed Venture Partners also co-led that round.

“We’re working to broaden access to Claude for organisations building with AI,” Anthropic CEO Dario Amodei said during a joint discussion with Microsoft’s Satya Nadella and NVIDIA’s Jensen Huang.

For the first time, Anthropic and NVIDIA have also formed a deep technology partnership focused on co-design and engineering. The companies will work to optimise Claude models for performance and efficiency on NVIDIA’s architectures, while NVIDIA will tune future chips for Anthropic workloads.

Anthropic’s compute commitment with NVIDIA will include Grace Blackwell and Vera Rubin systems, reaching up to one gigawatt.

Microsoft and Anthropic are simultaneously expanding their existing collaboration, giving Microsoft Foundry customers access to Claude’s frontier models—Sonnet 4.5, Opus 4.1 and Haiku 4.5. Microsoft will continue integrating Claude across its Copilot products, including GitHub Copilot, Microsoft 365 Copilot and Copilot Studio. “We want developers and enterprises to have choice in the models they use,” Nadella said.

Amazon, however, remains Anthropic’s primary cloud and training partner, the companies clarified.

Huang said the expanded collaboration aims to support the next phase of AI development as demand for compute continues to rise.

Anthropic recently announced a $50 billion investment in US computing infrastructure, partnering with Fluidstack to build data centres in Texas and New York, with additional sites planned. The facilities are designed specifically for Anthropic’s workloads to support continued AI research and development.

The project is expected to create around 800 permanent jobs and 2,400 construction jobs, with sites scheduled to come online through 2026. It aligns with the Trump administration’s AI Action Plan, which aims to strengthen domestic AI leadership and technology infrastructure.

The post Microsoft and NVIDIA to Invest Up to $15 Billion in Anthropic appeared first on Analytics India Magazine.

Amazon Web Services (AWS) has announced the general availability of Kiro, its vibe coding platform, introducing new capabilities across the IDE, terminal, and enterprise management.

The company said Kiro now supports property-based testing (PBT), checkpointing, multi-root workspaces, and a new command-line interface that brings Kiro agents directly into developers’ terminals.

Amazon said that since Kiro’s preview launch in July, developers have adopted Specs as a structured way to build with AI.

Speaking with AIM, Massimo Re Ferre, director of product management at AWS for Kiro, revealed that Kiro IDE has been shaped heavily by developer feedback collected since its tech preview launch, which saw more than 100,000 users sign up within just the first three days.

The company has also launched a startup program providing one year of Kiro Pro+ credits to eligible companies up to Series B. The offer is available through December 31, 2025, and can be combined with AWS Activate credits.

The program is open to most countries and offers three levels of support. The Starter tier covers up to two Kiro users, the Growth tier supports up to 50 users, and the Scale tier extends access to up to 100 users.

Re Ferre believes this offer could be transformative for early-stage teams racing to build fast.

He believes Kiro’s two development modes uniquely support how startups grow. The by-coding method helps teams try out ideas quickly and experiment without much setup, making it ideal for early validation.

Once a concept starts to work, the spec-driven method helps turn that idea into production-ready software with a more structured and reliable approach.

“Startups are incredibly hungry to become more efficient,” he said. “With Kiro, they can experiment quickly and then shift into production with the same tool.”

Re Ferre stands against the motion in the debate on vibe coding’s so-called “death”. He believes both manual coding and vibe coding can co-exist. He described by-coding as ideal for rapid ideation, especially among non-developers, while spec-driven development suits engineers who want production-grade output. “It’s not one replacing the other.”

Despite Kiro being developed by AWS, Re Ferre stressed that it is not intended to be a locked-in AWS-only tool. “We’re not building Kiro specifically for AWS customers,” he said. “We want it to be a developer tool everyone can use, without requiring a particular backend or cloud.”

New Features of Kiro

As Kiro exits preview, AWS is shipping three significant enhancements. The first is checkpointing, a feature that allows developers to roll back not only the files Kiro has modified, but also Kiro’s internal memory of the actions it previously took.

“You’re literally rolling back the history of what Kiro remembers,” Re Ferre explained, adding that typical AI coding tools fail to handle this problem cleanly. Each agent action creates a restorable step, allowing users to roll back without losing ongoing work.

The second new feature is multi-root workspace support. Until now, Kiro has allowed only a single project within a workspace, limiting developers who work across multiple interconnected repositories.

Re Ferre described the addition as very close to his heart, calling it one of the most requested capabilities among users who rely on complex multi-repo setups.

The third major addition is property-based testing, an upgrade to Kiro’s spec-driven development model. With this, Kiro can automatically generate hundreds or even thousands of test cases by analysing the intended behaviour of a feature, far beyond what traditional manually written unit tests cover.

“It brings more accuracy and guarantees that the code adheres to what the specifications were meant to produce,” he said.

Enters Kiro CLI

Alongside the IDE, AWS is also launching Kiro CLI, a terminal-native agent designed for developers who prefer to work outside the browser.

The newly introduced Kiro CLI extends the platform’s agent framework to the terminal. Amazon said the CLI allows engineers to “build features, automate workflows, analyse errors, trace bugs, and suggest fixes” without leaving their shell.

It includes support for Claude Sonnet 4.5, Claude Haiku 4.5, and the Auto agent. Custom agents can be configured for backend, frontend, or DevOps tasks using shared steering files and MCP tools.

According to Re Ferre, the company has seen a growing appetite for generative-AI tools within the command-line environment. “There is a growing preference for having a terminal modality,” he said, adding that the CLI will act as a natural companion to the IDE.

Another significant update is focused on teams rather than individual developers. AWS is rolling out organisation-level onboarding, enabling enterprises to manage developers through AWS Identity Centre, enforce tighter governance, and monitor usage through centralised dashboards.

Re Ferre said this will eliminate the need for individual sign-ups and give administrators far more control over how Kiro is used within their environments.

For organisations, Kiro now integrates with AWS IAM Identity Centre. Admins can assign Pro, Pro+, and Power plans, manage overages, and monitor usage from a unified dashboard.

With Kiro’s GA release, a new CLI, enterprise controls, and a generous startup program, AWS is placing a confident bet on the future of AI-assisted software development.

The post Indian Startups Can Now Vibe Code With AWS Kiro appeared first on Analytics India Magazine.