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Enabling Risk Management With AI/ML Powered by Cloud Native Data Architecture Oct 3rd 2025, 13:00 by Pradyumna Shukla Financial crimes are a persistent threat to financial institutions. Financial institutions have to build risk management systems that can detect and prevent malicious activities. The evolution of cloud computing has enabled leveraging computing power for machine learning in risk management functions like anti-money laundering. Risk management in financial institutions will primarily focus on identifying, assessing, maintaining, and monitoring various risks. This is very important to ensure compliance with regulatory requirements and stability of the institution to maintain investor confidence. Each institution will have its own structure and process to define adherence to different types of risk functions. Most of the risk functions will involve the following steps: Multi-Cloud Infrastructure Challenges and Solutions Oct 3rd 2025, 12:00 by Durojaye Olusegun The cloud landscape has changed so much, with companies moving to multi-cloud. According to Flexera's 2024 State of the Cloud Report, 87% of companies are using multiple cloud providers for resilience, cost optimization, and vendor independence. But managing infrastructure across AWS, Azure, Google Cloud, and other providers brings configuration drift, security vulnerabilities, and cost overruns that can overwhelm IT teams. From Big Data to Agents: My Decade Building Systems Oct 3rd 2025, 11:00 by Nacho Corcuera When a Simple Scraper Changed Everything My first "real" task wasn't glamorous: scrape some data. We all start at the bottom, and scraping is a rite of passage for data engineers — turning unstructured sources into structured signals. That first job taught me a lesson I've carried since 2014/15: access to the right data beats cleverness — and the right pattern beats the shiniest tool. Looking back at that moment — and the path since — this article traces how I entered the data world and what changed up to today's AI revolution.

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