Designing Trustworthy AI in the Financial Landscape | Gopichand | TEDxVishnu Institute

In this TEDx talk, Gopichand, a Senior Software Engineer specializing in Large Language Models (LLMs), discusses the role of AI in financial systems. He outlines how AI drives critical daily decisions, such as evaluating loan applications and identifying fraudulent transactions. He emphasizes that trust in AI should not rely solely on model accuracy. Instead, it must encompass the complete pipeline, including data quality, model monitoring, and rigorous governance. Gopichand introduces a trust architecture consisting of high-quality data, transparent pipelines, monitored models, explainable outcomes, and strong governance, highlighting that human oversight remains vital to keeping financial AI accountable and robust. Gopichand is a Senior Software Engineer, Cloud Data Architect, researcher, and technology leader specializing in Big Data Engineering, Cloud Computing, Artificial Intelligence, and enterprise software systems. He designs scalable data platforms, cloud-native architectures, real-time data pipelines, and AI-driven solutions using technologies such as AWS, Google Cloud Platform, Azure, Hadoop, Apache Spark, Kafka, Airflow, Java, Python, and Power BI. His work focuses on modernizing enterprise data ecosystems, building cloud-based data lakes, optimizing large-scale ETL and Spark workloads, and developing secure, high-performing analytics platforms. He has authored multiple research papers in Artificial Intelligence, Large Language Models, data engineering, financial compliance, AI governance, and metadata-driven ETL optimization. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx