In this episode, we highlight the must-have fundamentals of an AI-first data pipeline — from robust data ingestion and preprocessing, to scalable storage, continuous data quality checks, and seamless integration with AI/ML models. You’ll learn how building a solid, future-ready pipeline is critical for reliable analytics, real-time insights, and successful automation initiatives.
https://blog.datamatics.com/the-must-have-fundamentals-of-an-ai-first-data-pipeline
In this episode, we walk through how a global leader in banknote printing undertook a legacy-system transformation to modernize their core systems and future-proof operations. Discover how updating outdated infrastructure — replacing monolithic systems with scalable, resilient architectures — improved performance, compliance, and enabled faster time-to-market, helping the organization stay agile and secure in an evolving financial landscape. https://www.datamatics.com/resources/case-studies/legacy-system-transformation-for-a-global-leader-in-banknote-printing
In this episode, we unpack how Salesforce’s vision unveiled at Dreamforce 2025 signals an “agentic” shift—where AI agents amplify human decision-making instead of replacing it. We explore how unified data, conversational intelligence, and governed workflows come together to embed autonomous assistance across CRM, sales, service, and marketing, and what this means for productivity, experience design, and enterprise architecture as humans and AI begin to operate as true collaborators. https://blog.datamatics.com/the-agentic-shift-what-dreamforce-25-really-means-for-salesforce-users
In this episode, we explore how a major US-based house-leasing company scaled to manage 80,000+ properties across 17 states by transforming its invoice-processing operations—from slow, manual, error-prone workflows to a streamlined, intelligent automation journey. We walk through how AI-powered automation fused with structured finance workflows to eliminate human errors, accelerate approvals, and bring full visibility to accounts payable. The conversation highlights how a combined platform — one that integrates RPA, intelligent document processing, PO-invoice matching and automated validation — delivered 99.8% accuracy and turned AP into a strategic enabler rather than a bottleneck. https://www.datamatics.com/resources/case-studies/optimizing-accounts-payable-process-for-house-leasing-company
In this episode, we dive into how a leading Southeast-Asian real-estate marketplace transformed property discovery by embracing augmented reality: how the immersive AR app let users explore homes in real-time 3D, view floor plans and interiors — even interact with print ads to bring 3D models to life. We explore how this innovation tackled platform performance issues, addressed scalability challenges, and delivered smoother, smarter property search that boosted user engagement and drove a 30% revenue lift.
https://www.datamatics.com/resources/case-studies/augmented-reality-based-property-discovery-app-for-a-leading-real-estate-marketplace
In this podcast episode, we explore how a global bank transformed slow, IT-dependent data access into a secure, conversational experience by implementing an Agentic AI-powered Data Requisition Copilot. The discussion walks through the challenges of fragmented legacy and modern systems, limited interoperability, manual reconciliations, and governance gaps, and how a security-first design enabled business users to access data through natural language without compromising regulatory compliance. We unpack the two-phase journey—from foundational setup with NLQ-to-SQL, governance, and auditability to enterprise-scale expansion with automated validation, APIs, and multi-system integration—and examine how a unified API-first, cloud-native architecture helped the bank modernize operations, improve visibility, and scale confidently for future growth.
In this episode, we explore how a leading service provider for the UK’s National Health Service (NHS) achieved a 70% reduction in manual effort by deploying TruBot (from Datamatics) together with cloud infrastructure — automating critical workflows such as lab-report processing, patient onboarding and documentation to streamline healthcare operations, eliminate errors, and save hundreds of clinical work hours while scaling for large patient data volumes. https://www.datamatics.com/resources/case-studies/a-leading-service-provider-to-the-uks-national-health-service-nhs-achieved-70-reduction-in-manual-effort-with-datamatics-intelligent-automation-platform
In this episode, we dive into how an Emergency Response Center was implemented for BMC during COVID-19 to handle citizen support, coordinate relief efforts, and ensure timely information flow during the crisis — demonstrating the power of rapid, intelligent operations in public health emergencies. https://www.datamatics.com/resources/case-studies/implemented-emergency-response-center-for-bmc-during-covid-19
In this episode, we explore how a leading service provider to the UK’s national health service achieved a 70 % reduction in manual effort by deploying an intelligent automation platform — unlocking operational efficiency, reducing human error, and enabling teams to focus on strategic, high-value patient care and support tasks. https://www.datamatics.com/resources/case-studies/a-leading-service-provider-to-the-uks-national-health-service-nhs-achieved-70-reduction-in-manual-effort-with-datamatics-intelligent-automation-platform
In this episode, we explore how a unified API platform can drive efficiency by simplifying integration, accelerating development cycles, and enabling seamless connectivity across disparate systems for faster, more agile digital transformation. https://www.datamatics.com/resources/case-studies/driving-efficiency-unified-api-platform
In this episode, we explore how agentic AI is transforming quality assurance by shifting testing from reactive execution to autonomous decision-making. Learn how AI-driven agents continuously analyze application behavior, prioritize risks, and self-optimize test cycles to improve coverage, speed, and product quality—making QA more resilient, scalable, and aligned with modern digital delivery demands. https://www.datamatics.com/resources/case-studies/agentic-ai-enabled-quality-assurance
In this episode, we walk through a CIO’s guidebook to legacy modernization — covering why outdated systems hinder agility, how to evaluate and prioritize modernization paths, and actionable strategies for migrating or re-architecting legacy applications to drive scalability, reduce technical debt, and support future innovation. https://www.datamatics.com/resources/whitepapers/cios-guidebook-to-legacy-modernization
In this episode, we explore how artificial intelligence can help businesses identify the key predictors and influencers behind customer behavior — shedding light on what drives engagement, purchase decisions, and loyalty. You’ll learn how predictive analytics and AI models help move beyond gut-feel, enabling data-driven understanding of customer patterns to shape smarter marketing and retention strategies.
In this episode, we dive into how business intelligence (BI) meets the power of Microsoft Copilot + Generative AI, enabling teams to “see beyond” raw numbers. Learn how natural-language queries, AI-driven insights, and automated reporting are radically changing how organizations explore data — lowering technical barriers, accelerating decision-making, and turning dashboards into dynamic, narrative-driven conversations.
https://blog.datamatics.com/see-beyond-with-business-intelligence-copilot-and-genai
In this episode, we dive into how business intelligence (BI) meets the power of Microsoft Copilot + Generative AI, enabling teams to “see beyond” raw numbers. Learn how natural-language queries, AI-driven insights, and automated reporting are radically changing how organizations explore data — lowering technical barriers, accelerating decision-making, and turning dashboards into dynamic, narrative-driven conversations.
https://blog.datamatics.com/see-beyond-with-business-intelligence-copilot-and-genai
In this episode, we explore how intelligent technology meets empathetic care in health insurance support. Learn how AI and automation are transforming customer service in insurance — streamlining claim handling, personalizing interactions, and enabling more human-centered experiences, all while improving efficiency and reducing costs.
In this episode, we explore how intelligent technology meets empathetic care in health insurance support. Learn how AI and automation are transforming customer service in insurance — streamlining claim handling, personalizing interactions, and enabling more human-centered experiences, all while improving efficiency and reducing costs.
In this episode, we unpack the key metrics that define customer experience (CX) in the age of AI, exploring how businesses can measure success beyond traditional KPIs. We discuss AI-driven indicators like predictive churn scores, sentiment analysis, and response time optimization — and explain how tying these metrics to business outcomes helps you deliver smarter, more personalized customer journeys.
https://blog.datamatics.com/metrics-that-define-cx-in-the-age-of-ai
In this episode, we shed light on the hidden costs of poor planning in enterprises — from missed deadlines and budget overruns to inefficient teams. More importantly, we break down how Global Capability Centers (GCCs) can remedy these issues by creating structured, scalable, and cross-functional hubs that drive better alignment, foresight, and long-term value.
https://blog.datamatics.com/the-hidden-cost-of-poor-planning-and-how-gcc-fixes-it
In this episode, we explore a smarter approach to data monetization and governance, discussing how organizations can unlock new value from their data assets while keeping risk in check. Learn how to balance innovative monetization strategies with strong governance frameworks — so data becomes a strategic asset, not just a liability.
https://blog.datamatics.com/a-smarter-approach-to-data-monetization-and-governance