SigmoidUnlocking data intelligence with gen AI-powered SQL queriesSwiftly uncovering useful and actionable insights from a sea of data is critical for business agility. However, the process of querying…20h ago20h ago
Sigmoid‘Forecasting’ the future with genAI in demand scenario planningIn periods of high volatility, CPGs must quickly evaluate shifting market forces and consumer demand to make informed decisions about…3d ago3d ago
SigmoidMaximizing the impact of customer analytics with composable CDPsIn recent years, customer data platforms (CDPs) have emerged as indispensable tools in the realm of the MarTech stack. A CDP serves as a…Sep 25Sep 25
SigmoidImplementing data products and Data Mesh on Microsoft FabricMicrosoft Fabric is an end-to-end analytics and data platform designed to unify various data services into a single, cohesive environment…Sep 12Sep 12
SigmoidWhy banks must embrace proactive risk management with AI-driven RegTechLarge firms spend up to $10,000 per employee annually on compliance, averaging around $300 million annually.¹ This significant investment…Sep 6Sep 6
SigmoidHow to elevate digital banking experiences for customers with data analyticsFrom data silos and security concerns to poor data quality and ineffective segmentation, retail banks today face a myriad of challenges in…Aug 2Aug 2
Sigmoid3 data and analytics trends shaping the MedTech industryIn the MedTech industry, one of the key challenges lies in balancing cutting-edge advancements with the practical realities of cost…Jul 24Jul 24
SigmoidHow agile MDM enables faster time to insights for life sciencesData is the lifeblood of success in the life sciences industry. From groundbreaking drug discovery to personalized patient care, effective…Jun 17Jun 17
SigmoidDriving regulatory success in capital markets with data governanceThe ever-evolving regulatory landscape of capital markets feels like a tightrope walk. One misstep with data management, and brand…Jun 11Jun 11
SigmoidHow data-driven strategies can strengthen risk management in corporate bankingFor decades, risk management relied heavily on historical data and reactive measures. Loan approvals were based on heuristic records, fraud…May 17May 17