Real-Time Anomaly Detection and Auto-Correction in Data Workflows

This isn’t just automation. It’s autonomy with context, control, and accountability built in.
For a long time, companies relied on traditional data systems to move and clean information. These systems followed fixed rules, ran on schedules, and were good enough when data was simple and change was rare. But that’s no longer the world we live in. Today, data is messy, fast changing, and comes from dozens of sources such as APIs, files, forms, third party vendors, and internal systems. The structure of that data can change without notice. Columns are renamed. Formats shift. New fields appear or disappear overnight. And when that happens, traditional systems don’t adapt. They
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Picture of Farhan Kaskar
Farhan Kaskar
Farhan Kaskar is a leading AI/ML systems architect and a pioneering figure in intelligent infrastructure design. With a track record of building mission critical AI powered platforms from the ground up, Farhan is redefining what scalable, autonomous systems can achieve in industries like insurance, finance, and enterprise data. As the founding engineer behind several cutting edge orchestration and self healing software infrastructure frameworks, his work merges deep learning, real time systems, and distributed architecture to create platforms that don’t just run. They reason, adapt, and improve on their own using Artificial Intelligence. Farhan’s innovations enable complex decision making within live workflows, bringing together humans and machines in ways that are transforming enterprise operations.
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