Latest news with #DQI
Time of India
01-08-2025
- Business
- Time of India
Poonawalla fincorp deploys 4 AI solutions in operations and finance
Poonawalla Fincorp Limited (PFL), a Cyrus Poonawalla Group-promoted NBFC focused on Consumer and MSME lending, today announced the deployment of four AI-led solutions, comprising one Agentic AI solution and three AI-powered systems, as part of its enterprise-wide digital transformation journey. These include an Agentic AI powered Data Quality Index (DQI), an Infrastructure Management Solution , a proprietary Fin-Bot for financial intelligence, and an AI-led Invoice Management System, all aimed at enhancing speed, precision, and scalability across key business functions. These deployments reflect PFL's continued shift toward building an organisation where AI becomes foundational to how the business operates and scales. Rather than solving in silos, the company is focused on deploying systems that can learn, adapt, and deliver impact across functions, from risk and compliance to infrastructure and finance. Each solution is designed to simplify complexity with clarity, and accelerating the company's ambition to lead as a digitally confident, operationally agile NBFC. Arvind Kapil, Managing Director & CEO of Poonawalla Fincorp, said: 'We're not treating AI as a one-time upgrade. It's a long-term capability we are building deliberately across the organisation, grounded in responsible use and real business relevance. Our aim is to embed intelligence into the very fabric of how we operate, enabling faster decisions, sharper insights, and stronger outcomes. This is about shaping an organisation that is not just digitally enabled, but fundamentally future-ready.' 1. Agentic AI for Data Quality Index (DQI): PFL has unveiled an agentic AI solution for DQI , designed to autonomously drive operational data integrity at scale. It is a self-driven system that understands internal business needs and external regulatory requirements, reduces manual intervention, and delivers audit-ready transparency . With features such as anomaly detection , self-adaptive validation logic that evolves with new requirements, and context-aware data validation , the solution empowers smarter, compliant, and scalable operations across business lines. 2. AI-Powered Infrastructure Management Solution: PFL also introduced an AI-powered infrastructure solution that streamlines property acquisition to facilitate its 400 phase-wise branch expansion across Tier 2 and Tier 3 cities. The solution validates regionally prepared legal documents, such as title deeds, municipal records, and NOCs, through multilingual translation and intelligent data extraction. It generates internal validation reports that cross-check external Title Search Reports, enhancing governance, reducing human error, and enabling decisions in under 5 minutes after document upload, compared to the earlier 2–3 day turnaround. 3. Fin-Bot for Financial Intelligence: Expanding its transformation efforts into finance operations, PFL introduced Fin-Bot, an advanced AI-powered financial intelligence solution, designed to deliver precision-driven financial analysis backed by meaningful insights on both internal and competitive performance. Developed entirely in-house, the solution aggregates data from multiple systems into a centralized repository and offers customized reports across key financial metrics. It enhances governance by reducing the risk of errors and enabling informed decision-making, while significantly improving turnaround times for disclosures. 4. AI-Powered Invoice Management Solution: PFL also introduced an AI-powered invoice management solution that automates the reading and validation of sourcing channel invoices based on predefined policies and compliance standards. By harnessing machine learning and AI-vision models, the system enhances accuracy, reduces manual effort, and expedites processing, allowing the finance team to handle surging invoice volumes with improved precision. The solution supports scalable, policy-driven approvals across departments, streamlining financial workflows, minimizing operational overhead, and empowering teams to focus on more strategic initiatives. At PFL, AI will emerge as a strategic differentiator and game-changer across core areas, right from risk calibration and fraud detection to marketing, compliance, HR, governance, audit, and underwriting quality assessment. The company is actively scaling its AI efforts with 35 projects, of which 8 have been successfully completed. PFL continues to deepen its commitment to its AI-first approach, driving intelligent automation, accuracy, and future-ready innovation.
Business Standard
31-07-2025
- Business
- Business Standard
Poonawalla Fincorp adopts AI solutions for its digital transformation
Poonawalla Fincorp announced the deployment of four AI-led solutions, comprising one Agentic AI solution and three AI-powered systems, as part of its enterprise-wide digital transformation journey. These include an Agentic AI powered Data Quality Index (DQI), an Infrastructure Management Solution, a proprietary Fin-Bot for financial intelligence, and an AI-led Invoice Management System, all aimed at enhancing speed, precision, and scalability across key business functions. These deployments reflect PFL's continued shift toward building an organisation where AI becomes foundational to how the business operates and scales. Rather than solving in silos, the company is focused on deploying systems that can learn, adapt, and deliver impact across functions, from risk and compliance to infrastructure and finance. Each solution is designed to simplify complexity with clarity, and accelerating the company's ambition to lead as a digitally confident, operationally agile NBFC.
The Hindu
05-07-2025
- Health
- The Hindu
High-quality diet may have led to bigger human brain: CSIR-CCMB-led international study reveals genetic link between diet and brain size
Our ancestors' shift to higher-quality diets, especially with use of fire and consumption of meat and fruits, had likely triggered genetic changes and may have paved the way for the dramatic expansion of the human brain, deduce researchers at the CSIR-Centre for Cellular and Molecular Biology (CCMB) here in Hyderabad. A ground-breaking international study published in the latest issue of Philosophical Transactions of the Royal Society B, involving scientists from the United States and China, has uncovered the genetic mechanisms linking diet quality and brain size in primates, shedding new light on how some species, especially humans, evolved to have such large and complex brains. It reveals that the quality of food primates eat influences not just their energy levels but also the way their brains evolve at the genetic level. The research team, including CCMB's Laboratory for Conservation of Endangered Species (LaCONES) Chief Scientist Govindhaswamy Umapathy (senior author), Vinay Teja Potharlanka (first author) and others, including Shao Y, Wu D, Banda N and DeCasien A., had analysed over 8,000 genes from 50 whole genomes across primate species to understand how brain size co-evolved with diet and to identify the specific genes that may have helped make it happen. Energy intensive organs Brain is one of the most energy-hungry organs in the body. In humans, the brain consumes nearly 20% of the total energy, despite accounting for just 2% of body weight. For many years, scientists have wondered how such an organ could have evolved and why some species have bigger brains than others. A key idea is that better-quality diets those rich in fruits, seeds, and animal protein provide more energy, allowing for the development of larger brains. But until now, no one had clearly shown how this plays out at the genetic level. Digging Into the Data Researchers combined genetic, ecological, and anatomical data in a novel way by measuring the size of brains and bodies in different primates and used published information on diet composition to create a Diet Quality Index (DQI). They then looked at how quickly brain-related genes evolved in each species using the 'dN/dS' ratio method, which tracks evolutionary changes in gene sequences. Using sophisticated statistical tools that account for evolutionary relationships between species, the team identified hundreds of genes whose evolution was closely linked to diet and brain size. Genes That Build Brains—and Process Energy Many genes linked to larger brains were involved in neurogenesis (brain cell development) and are also known to be involved in human brain disorders such as autism and microcephaly. However, several key genes were also involved in lipid and carbohydrate metabolism — the body's way of processing fats and sugars. These include genes like 'ELOVL6', which helps process fatty acids, and 'EEF1A2', which is involved in brain development and linked to neurological conditions. 'This supports the idea that better diets provided the fuel for building bigger brains. Energy metabolism genes and brain development genes are working hand-in-hand. This link is deeply embedded in the genome,' said Dr. Umapathy. Two-Way Evolution The study's best-fitting model showed that diet quality influences brain size in two ways — directly by providing energy and nutrients, and indirectly by affecting which genes were under evolutionary pressure. 'It's a feedback loop. Better brains help find better food, and better food helps build better brains. Evolution worked through genes to reinforce this loop,' said Vinay Teja Potharlanka. Interestingly, some of the same genes that aided brain expansion may have also increased the risk for certain neurodevelopmental conditions, highlighting a potential evolutionary trade-off. Implications for Human Evolution Although the study did not include modern humans, the findings offer powerful insights into our evolutionary past. The team hopes future research will explore how other lifestyle and social factors like group size, parenting style, or movement patterns may have influenced brain evolution in primates. The full dataset and analysis code have been made publicly available, encouraging further exploration into the complex relationship between ecology, genetics, and cognition.
Economic Times
04-07-2025
- Business
- Economic Times
RBI looks to ensure uniformity in credit bureau data quality
The Reserve Bank of India is reviewing credit bureau operations. This aims to improve data consistency and transparency for customers. A working group is addressing concerns from financial institutions. Suggestions include uniform data standards and a common grievance portal. The RBI also wants quicker complaint resolution and more frequent credit data updates. A unique borrower identifier is also under consideration. Tired of too many ads? Remove Ads Tired of too many ads? Remove Ads ( Originally published on Jul 04, 2025 ) New Delhi: The banking regulator is examining suggestions to further streamline credit bureau processes and reduce information asymmetry with lenders, a move aimed at addressing data inconsistency and transparency for customers, said people familiar with the development."A technical working group has been formed by the RBI (Reserve Bank of India) to address concerns raised by financial institutions related to credit information companies (CICs)," said an executive, who did not wish to be identified.A senior public sector bank executive said the four CICs - TransUnion Credit Information Bureau (India) Limited (TransUnion CIBIL), Equifax, Experian and CRIF High Mark - have given some suggestions to the RBI to ensure data uniformity and also to set up a common grievance redressal portal."There is a need for some more common standards among CICs so that there is a uniformity relating to data quality index (DQI), and also for looking into the records of inactive or written-off customers," the executive said, adding that a single-window platform for data submission can also be emailed to the RBI did not elicit a response till press RBI has extended the alternative grievance redressal mechanism under the Reserve Bank-Integrated Ombudsman Scheme, 2021 to cover grievances against this week, RBI deputy governor M Rajeshwar Rao said a key challenge is identity standardisation and that CICs rely on credit institutions to provide accurate and validated IDs. "There is a need to move towards a unique borrower identifier , which is secure, verifiable and consistent across the system," he said, addressing the TransUnion CIBIL's Credit Conference in RBI has been taking up with CICs the issue of quick disposal of complaints raised against them. In 2023 it had mandated that complainants are entitled to compensation of ₹100 per day if their complaint is unresolved within 30 days from the initial RBI deputy governor, in his speech, also said that CICs must aspire to more frequent updates of credit data, as against the current fortnightly interval.
Time of India
04-07-2025
- Business
- Time of India
RBI looks to ensure uniformity in credit bureau data quality
New Delhi: The banking regulator is examining suggestions to further streamline credit bureau processes and reduce information asymmetry with lenders, a move aimed at addressing data inconsistency and transparency for customers, said people familiar with the development. "A technical working group has been formed by the RBI (Reserve Bank of India) to address concerns raised by financial institutions related to credit information companies (CICs)," said an executive, who did not wish to be identified. A senior public sector bank executive said the four CICs - TransUnion Credit Information Bureau (India) Limited (TransUnion CIBIL), Equifax, Experian and CRIF High Mark - have given some suggestions to the RBI to ensure data uniformity and also to set up a common grievance redressal portal. "There is a need for some more common standards among CICs so that there is a uniformity relating to data quality index (DQI), and also for looking into the records of inactive or written-off customers," the executive said, adding that a single-window platform for data submission can also be explored. Queries emailed to the RBI did not elicit a response till press time. The RBI has extended the alternative grievance redressal mechanism under the Reserve Bank-Integrated Ombudsman Scheme, 2021 to cover grievances against CICs. Earlier this week, RBI deputy governor M Rajeshwar Rao said a key challenge is identity standardisation and that CICs rely on credit institutions to provide accurate and validated IDs. "There is a need to move towards a unique borrower identifier , which is secure, verifiable and consistent across the system," he said, addressing the TransUnion CIBIL's Credit Conference in Mumbai. The RBI has been taking up with CICs the issue of quick disposal of complaints raised against them. In 2023 it had mandated that complainants are entitled to compensation of ₹100 per day if their complaint is unresolved within 30 days from the initial filing. The RBI deputy governor, in his speech, also said that CICs must aspire to more frequent updates of credit data, as against the current fortnightly interval. Economic Times WhatsApp channel )
