Balancing DPDP Compliance and Fraud Detection in India
India’s Digital Personal Data Protection (DPDP) Act limits cross-border data flow, creating challenges for fraud detection systems that rely on global insights. This blog explores how enterprises can stay compliant without losing analytical strength through approaches like federated learning, hybrid frameworks, and governance-first design — showcasing how DAAS LABS helps balance compliance with intelligent fraud prevention.
In today’s hyper-competitive landscape, data isn’t just an asset — it’s the foundation for innovation, agility, and AI-powered transformation. But while most companies recognize the need to become data-driven, few have the time or resources for 12–18 month implementation cycles and with AI intelligence being part of data platforms Deploying a Governed Data Platform in […]
In today’s AI-first world, enterprises are no longer asking if they should prepare for AI—but how fast they can. As generative models, autonomous agents, and predictive systems begin reshaping every industry, one thing is clear: the real differentiator isn’t the AI model—it’s the data platform that feeds it. Traditional data stacks—built for reports, not reasoning—are […]
Organizations often struggle with inconsistent reporting despite significant investments in analytics tools. This leads to conflicting data, delayed decisions, and a lack of trust in business intelligence. The core issue lies in a fragmented BI layer where different teams use different tools and definitions for key metrics.
To address this, leading companies are shifting from building isolated dashboards to creating unified data views through a central semantic layer. This layer standardizes KPIs and definitions across all BI platforms, ensuring everyone speaks the same data language. SCIKIQ offers an innovative solution to this problem, recognized by Forrester for its ability to unify multi-platform BI environments. It provides a common semantic layer, virtualized real-time access to distributed data, and end-to-end data lineage for complete transparency. This approach not only resolves reporting inconsistencies but also prepares organizations for AI-ready insights and trusted executive dashboards.
Explore how generative AI and the innovative Open Network for Digital Commerce (ONDC), is transforming its e-commerce landscape in India.
The possibilities of artificial intelligence (AI) are infinite and beyond the scope of our imagination. AI is the core of the epoch of automation, machine learning, smart gadgets, connected mobility and Industry 4.0. It is empowering a whole lot from decision-making, predictive analysis, robotics, healthcare, agriculture, logistics, construction, to banking, aerospace and others. AI won’t […]
Big Data and AI for FinTech
Data is no more eccentric to financial industry, neither is analytics or decision-making. When combined, the system can break through the data silos as well as turn the insights into rewarding business outcomes. Artificial Intelligence (AI), machine learning (ML), and predictive analytics are paving their way for intensive customer-centric data that can increase sales, generate […]
A chatterbot or ‘chatbot’ is an artificial intelligence (AI) program that can simulate a real interaction — spoken, written or both, via chat interface. By leveraging machine learning (ML) and natural language processing (NLP), AI-powered chatbots can identify the user’s underlying intent and respond in a natural, human way. It can learn from past conversations […]
Disclaimer : The purpose of this blog post is to share my thoughts or concerns regarding the policy framework for Artificial Intelligence (AI). I have more questions than any solid recommendation(s) and this might be due to lack of my knowledge on the subject area or complete failure to understand the framework and its implications. […]