AI in Indian Finance

India’s digital rails—UPI, ONDC, and Account Aggregators—are evolving from rule-based systems to AI-augmented infrastructure over the next 3–5 years. AI will embed quietly in fraud scoring, credit models, dispute triage, and cross-sell opportunities, boosting efficiency across the stack.bfsi.economictimes.indiatimes+2​ Infrastructure Layer (NPCI + AA) NPCI currently relies on rules like device binding and SIM checks for … Read more

For a decade, financial institutions talked about AI as a way to make chatbots friendlier and analytics dashboards smarter. In 2025, that conversation changed. A new class of agentic AI moved from answering questions to running workflows — autonomously coordinating tasks, calling APIs, and executing decisions across complex financial operations. This shift is emerging as … Read more

The Indian banking sector stands at a pivotal moment. While artificial intelligence has been present in banking for years, a new breed of technology—agentic AI—is fundamentally reshaping how financial institutions operate. Unlike traditional chatbots or rule-based systems that execute predefined tasks, AI agents reason, plan, and act independently, effectively operating as “digital bankers” available 24/7. … Read more

The Union Cabinet of India, chaired by Prime Minister Narendra Modi, has approved a ₹7,280 crore scheme to promote the manufacturing of Sintered Rare Earth Permanent Magnets (REPM) domestically. This initiative aims to establish integrated manufacturing facilities with a total capacity of 6,000 Metric Tons Per Annum (MTPA), distributed among five beneficiaries through a global competitive bidding process, each allocated up to 1,200 MTPA. The scheme spans seven years, including a two-year period for setting up manufacturing units and five years for disbursing sales-linked incentives. The financial outlay includes ₹6,450 crore in sales-linked incentives and ₹750 crore as capital subsidy to support the creation of these facilities. This move is designed to reduce India’s heavy reliance on imports, particularly from China, for rare earth magnets, which are critical components in electric vehicles, renewable energy, industrial applications, and consumer electronics. India’s demand for REPMs is expected to double by 2030, making domestic production crucial for self-reliance and supply chain security.

The scheme is a strategic step towards positioning India as a significant player in the global rare earth magnet market while supporting the country’s commitment to achieving Net Zero emissions by 2070. By fostering indigenous manufacturing capabilities, the government aims to build a technologically advanced, globally competitive, and sustainable industrial base. The initiative is also expected to generate employment and strengthen the domestic industrial ecosystem. The approval reflects the government’s broader vision of Atmanirbhar Bharat (self-reliant India) and aligns with the goal of Viksit Bharat by 2047. This first-of-its-kind scheme marks a historic decision to develop a comprehensive rare earth magnet manufacturing ecosystem within India, reducing import dependence and enhancing strategic autonomy in critical technology sectors.

The Apple MacBook Air M4 is available at a heavily discounted price during Croma’s Black Friday sale, making it an exceptional opportunity for buyers to own a premium laptop at a fraction of its original cost. Originally launched in India at ₹99,900, the device can now be purchased for as low as ₹55,911, thanks to a combination of student and teacher discounts, bank offers, and exchange bonuses. The student and teacher offer alone brings the price down to ₹88,911, and further discounts of up to ₹10,000 are available through select banks. Additionally, customers can avail an exchange bonus of up to ₹13,000 when trading in their old PC or Mac, which significantly reduces the effective price. This deal is valid until November 30, giving buyers a limited window to take advantage of the offer. The MacBook Air M4 features Apple’s latest M4 chip, 16GB RAM, 256GB SSD, and a 13.6-inch Liquid Retina display, making it a powerful and efficient machine for everyday use, work, and entertainment. The laptop is also built for Apple Intelligence, comes with Touch ID, and supports macOS Sequoia. Reviews highlight its performance, battery life, and sleek design, making it a top choice for students, professionals, and casual users. The Black Friday sale is not only a great time to upgrade to a new MacBook but also to save substantially on a high-end device. Croma’s offer is one of the most aggressive discounts seen on the MacBook Air M4 in India, and it is especially beneficial for students who can combine multiple offers to maximize savings. The deal is available both online and in-store, and buyers are encouraged to check eligibility for all discounts before purchasing. With the combination of price, performance, and timing, this sale represents a rare opportunity to get a premium Apple laptop at an unbeatable price.

Croma’s Black Friday sale features significant discounts on Apple’s latest iPhone models, including the iPhone 16, iPhone 17, iPhone Air, and iPhone 17 Pro. The iPhone 16 is available for under ₹40,000 after stacking discounts such as bank offers, exchange bonuses, and coupons, making it an attractive upgrade option. The iPhone 17, despite being a newer model, is also offered at a reduced price, with some listings showing it available for around ₹45,900. The iPhone Air sees discounts up to ₹11,000, bringing its effective price down to approximately ₹108,900, with additional bank discounts and no-cost EMI options enhancing affordability. The iPhone 17 Pro is priced around ₹134,900 with similar bank discounts and EMI offers. These deals are available across multiple platforms including Croma, Amazon, Flipkart, Reliance Digital, and Vijay Sales, with exchange bonuses playing a key role in lowering prices further for customers trading in older devices.

The sale also extends to other Apple products like MacBook Pro M5 and iPads, with bank discounts and EMI options making premium devices more accessible during this period. The combination of direct price cuts, bank cashback, exchange bonuses, and no-interest EMI plans creates a compelling opportunity for buyers looking to upgrade or purchase Apple products at a reduced cost. These offers highlight the competitive pricing strategies retailers adopt during Black Friday to attract customers and clear inventory ahead of new launches.

Overall, the Black Friday sale presents a rare chance to acquire high-end Apple devices at significantly reduced prices, with the iPhone 16 and iPhone 17 models standing out for their aggressive discounts. Buyers can leverage multiple offers simultaneously to maximize savings, making this an ideal time for tech enthusiasts and regular consumers alike to invest in Apple’s latest technology.

Microsoft has unveiled Fara-7B, its first agentic small language model specifically designed for computer use, featuring only 7 billion parameters while achieving state-of-the-art performance within its size class and remaining competitive with much larger, more resource-intensive systems. The model is built on Qwen 2.5-VL architecture and functions as a multimodal decoder-only language model that takes screenshots and text context as inputs, directly predicting thoughts and actions with grounded arguments to accomplish high-level user tasks. Fara-7B was trained on 145,000 synthetic trajectories generated through the Magentic-One framework, with a novel synthetic data generation system called FaraGen that can propose diverse tasks from frequently used websites, generate multiple solution attempts, and filter successful trajectories using multiple verifiers at approximately $1 per trajectory. The model perceives browser inputs via screenshots while recording internal reasoning and state history textually, enabling it to plan and execute complex goals such as booking restaurants, applying for jobs, planning trips, and purchasing shopping lists. A robust post-training safety approach incorporating open-source and in-house synthetic datasets ensures the model recognizes critical points requiring user permission or involving sensitive information, with the agent trained to refuse harmful tasks and undergoing automated red teaming to assess risks including grounding, jailbreaks, harmful content, and copyright violations. Critical safety checkpoints include situations involving personal information entry, purchase completion, phone calls, email sending, application submission, and account sign-ins. Fara-7B outperforms other computer use agent models of comparable size on benchmarks including WebVoyager, Online-Mind2Web, and WebTailBench, a novel benchmark developed to better capture under-represented web tasks in pre-existing benchmarks. The model is efficient enough to run on-device, with quantized versions requiring as little as 5.8GB of storage for the Q4_K_S version, making it accessible for deployment on consumer-grade hardware with 12GB GPU memory. Microsoft has made Fara-7B open-weight available on Microsoft Foundry and HuggingFace, democratizing access to advanced agentic capabilities while also releasing WebTailBench to support future research in computer use agents.