Transforming DataOps: Automation for Trust and Pipeline Resilience - Seguridad Mania.com - España y América Latina

In today’s data-driven world, the challenge isn’t accessing data—it’s trusting it. Enterprises are under increased pressure to deliver timely, high-quality insights, but fragile pipelines, inconsistent data quality and operational inefficiencies often undermine their decision-making. Without a reliable data foundation, businesses risk slower innovation, reduced agility and eroded stakeholder confidence. Modern DataOps offers a transformative approach to these challenges by integrating automation, quality engineering, and operational discipline across the data lifecycle. By shifting from reactive, manual processes to proactive, automated workflows, organizations can reduce risk, enhance collaboration, and ensure data is business-ready. This session will showcase actionable strategies to embed quality into pipelines, improve observability, and create a scalable framework for analytics, AI, and enterprise decision-making. Join Kumar Singirikonda, Director of DevOps Engineering from Toyota North America to discover how Modern DataOps can revolutionize your data operations and drive business success. Key Takeaways: - How automation ensures scalable, predictable, and reliable data delivery. - Why embedding quality into pipelines is critical for trust and efficiency. - How observable pipelines enhance business confidence and decision-making speed. - Practical steps to implement or advance a DataOps practice.