Diogo Dcosta Overview / Abstract Every supply chain leader knows the frustration: the data says everything is fine, until it isn’t. A shelf is empty, a crane is down, or a shipment is delayed, and by the time the dashboard reflects the problem, the damage is already done. This gap between what’s happening on the ground and what finance systems

Rahul Sharma Overview/Abstract The venture capital (VC) industry operates on a model dependent on human intuition, limited network effects, and highly inefficient, manual processes for sourcing and vetting investment opportunities [1]. This traditional “Accelerator 2.0” model is demonstrably resource-intensive, characterized by prolonged due diligence cycles and, crucially, suffering from significant sampling bias a systemic tendency to favor startups within established

Rahul Sharma Overview/Abstract The 21st-century economy is defined by digital presence, content velocity, and data-driven personalization. Historically, only large enterprises possessed the capital, technical infrastructure, and expert staff required to harness advanced Artificial Intelligence (AI) for these ends. This disparity created a significant, often insurmountable, digital divide, leaving Small to Midsize Businesses (SMBs) the economic backbone of most developed nations

Rahul Sharma Overview / Abstract The integrity of public spending, challenged by the sheer magnitude of government budgets (which can exceed $6 trillion in federal budgets annually), is increasingly protected by Governance Algorithms. This report unpacks the architectural shift toward using open source Machine Learning (ML) pipelines to audit spending and detect financial crime in real-time. By leveraging advanced anomaly

Rahul Sharma Overview / Abstract The traditional innovation sprint, often constrained by human development time, is fundamentally challenged by the rise of Autonomous Hackathons. This new paradigm leverages sophisticated AI Agentic Frameworks a system of specialized AI copilots to automate the full prototyping lifecycle, from ideation to validated Minimum Viable Product (MVP). Instead of producing 3-5 concepts in a typical

Rahul Sharma Overview / Abstract In an era dominated by e-commerce giants and large retail chains armed with sophisticated cloud-based analytics, the independent micro-retailer finds itself at a significant competitive disadvantage. These small-scale businesses, from neighborhood corner shops to specialty boutiques, are often data-rich but analysis-poor, lacking the infrastructure and capital to leverage their most valuable asset: on-premise customer and