Tag: fintech

  • June 2026 Issue: India’s Top Tech CEOs and the Rise of Semiconductor, Fintech & Space Startups

    June 2026 – Analytics Insight

    Analytics Insight’s June 2026 issue delivers a comprehensive look at India’s digital transformation, featuring in-depth interviews, industry analyses, and exclusive stories. The spotlight is on the country’s top ten tech CEOs—from Sundar Pichai to Bhavish Aggarwal—who are redefining the global tech landscape. Alongside these leadership profiles, the issue dives into groundbreaking developments in semiconductors, space startups, fintech, and AI readiness.

    Top Articles in This Issue

    • Capability Over Scale: Ajay Modi of Piper Serica explains why India’s most vital startups are hidden inside supply chains, from rocket igniters to edge AI chips.
    • From Rocket Igniters to Edge AI Chips: An exclusive look at Piper Serica’s bet on India’s industrial future.
    • Aravind Srinivas and the Rise of Perplexity: How an IIT alumnus built a leading AI search engine.
    • Leading Without the Noise: The Salil Parekh Way: A leadership lesson in quiet impact.
    • Semiconductor Dreams: Can India build a chip industry from scratch?
    • Roshni Nadar Malhotra’s Journey: From media to HCLTech leadership.
    • How Small-town India Became the World’s Most Exciting Fintech Market: A deep dive into the fintech revolution.
    • Building Intelligence for a Billion Voices: Vivek Raghavan’s next national infrastructure bet.
    • Bhavish Aggarwal’s Journey: From Ola Cabs to Ola Electric and Krutrim AI.
    • India’s Private Space Startups: Who will be the country’s SpaceX?

    This issue is a must-read for anyone tracking India’s ascent in technology, innovation, and entrepreneurship.

  • Checkout.com Adopts Microsoft Azure to Fuel AI-Powered Payments and Agentic Commerce

    Checkout.com Adopts Microsoft Azure to Fuel AI-Powered Payments and Agentic Commerce

    Checkout.com has announced a multi-year agreement with Microsoft to migrate its payment infrastructure to Azure cloud services, positioning both companies for the rise of agentic commerce—where AI agents complete transactions without human intervention.

    Azure Infrastructure for AI-Driven Payments

    The payments provider will leverage Azure’s cloud infrastructure to process digital payments for enterprise merchants including eBay, ASOS, Vinted, Pinterest, and Klarna. Central to the migration is Azure Payment HSM, which uses Thales payShield 10K hardware security modules meeting PCI DSS, PCI 3DS, and PCI PIN certifications, along with FIPS 140-2 Level 3 security.

    Mariano Albera, CTO of Checkout.com, stated: “We’re thrilled to collaborate with Microsoft and adopt Azure, bringing this mission-critical platform into our technology stack. The Azure platform has leading machine learning capabilities—and Microsoft has long been a pioneer of embedding trust into every layer of cloud innovation.”

    Machine Learning Optimizes Transaction Acceptance

    Checkout.com already uses machine learning to improve transaction acceptance rates in real time. Its Intelligent Acceptance feature analyzes payment data, adjusts strategies, and applies successful optimizations across all merchants, creating network effects that reduce declines and processing costs. Azure’s ML capabilities will integrate with this existing AI engine, and Azure’s confidential computing solutions enhance fraud prevention and risk assessment.

    Preparing for Agentic Commerce

    The partnership aims to prepare for a future where AI systems search products, compare options, and complete purchases based on user preferences without human oversight. This requires payment infrastructure capable of handling high volumes of machine-initiated transactions with minimal latency and robust security.

    Tyler Pichach, Global Head of Payments at Microsoft Financial Services, commented: “The payments industry is a constant source of AI-powered innovation and by collaborating with Microsoft, Checkout.com will be able to further enhance payment performance for merchants around the world.”

    Albera added: “Our combined commitment to relentless innovation sets merchants up for success, enabling them to explore and embrace the agentic commerce models where AI agents search and shop on behalf of consumers.”

  • AIB Debuts AI-Driven Mobile App to Deliver Personalized Financial Insights

    AIB Debuts AI-Driven Mobile App to Deliver Personalized Financial Insights

    Allied Irish Banks (AIB) has launched a completely redesigned mobile banking application, marking what the lender calls its most significant digital channel update in over a decade. The new app, rolling out from late June, leverages machine learning and advanced data analytics to turn everyday transaction data into actionable, personalized financial guidance.

    The upgrade addresses a key industry challenge identified by AIB’s own research: while 76% of Irish adults check their banking app multiple times a week, 47% rarely use it for financial insights. The app aims to close this gap by embedding AI-powered intelligence directly into the user experience, moving beyond basic balance checks and payments.

    Developed over 18 months with extensive customer collaboration and pilot programs, the app introduces intelligent spending categorization, merchant-level analysis, and proactive budget recommendations. Machine learning algorithms analyze transaction histories to surface spending trends, helping users set goals and make more informed decisions. This directly responds to the 31% of consumers who report low confidence in managing their finances and the 24% who find long-term planning frustrating.

    Security remains a cornerstone of the new platform. It integrates passkey authentication, intelligent card controls (including freeze functionality), and what AIB describes as best-in-class cyber security technology — likely leveraging ML for fraud detection and anomaly identification. The bank emphasizes that trust is foundational, supported by secure, resilient technology.

    The app is built on a cloud-based, modular architecture designed for continuous delivery and iterative improvement. This platform approach enables faster deployment of new AI features and positions AIB to compete against a fragmented fintech ecosystem. Upcoming enhancements include tools for children and parents, goal-based savings pots with predictive modeling, and mortgage management with personalized recommendations.

    AIB maintains a hybrid service model with 170 branches and ongoing investment in human support, reflecting that 94% of customers still value access to human assistance. Geraldine Casey, Managing Director of Retail Banking, stated: "This new AIB app is a major step forward in digital innovation and security for our customers, providing the convenience and accessibility of best-in-class banking they can trust." Chief Operating Officer Graham Fagan added: "We’ve built a digital engagement platform that sits beneath the app that is designed to enable us to continuously add to it quarter on quarter."