Introducing Sed: Your cloud & AI assistant
Meet SedFounder & CEO
Bio
Suresh Mathew is the CEO & Founder of Sedai. As a key architect at PayPal, Suresh built the world’s first autonomous system for optimizing the cloud. Now at Sedai, he works with Fortune 500 companies and government agencies to optimize their cloud & AI infrastructure, using Sedai’s autonomous platform. Under Suresh’s leadership, Sedai has expanded to a team of 100+ employees around the globe, received eight U.S. patents on its technology, and secured funding from top investment firms.
Suresh brings more than two decades of engineering and leadership experience, including at Oracle, Nokia, and PayPal. His mission is to eliminate toil for his fellow engineers, so they can focus on the most meaningful work.
Areas of Expertise
A conversation with Varsha Sundar, VP of Global Cloud FinOps at Chubb, on treating FinOps as a science. Learn her proven methodology that has saved millions in cost annually, plus insights on AI automation, optimization strategies, and the future of cloud financial management.
Explore Rachit Lohani's perspective on Paylocity’s journey towards cloud autonomy. Uncover the strategies and tools, like Sedai, that are transforming cloud management from manual oversight to full automation.
Traditional manual and rule-based automated systems struggle to keep up with the complexity of managing cloud environments leads to persistent issues with cost control and performance optimization. It's time to take the next step in cloud management—AI-driven autonomous cloud management platforms are solving the complexity challenge in modern cloud environments.
Learn about five key differences between autonomous and traditional automated systems. These include 1. Intelligent Decision-Making, 2. Dynamic Adaptability and Context-Awareness, 3. Self-Correcting Capability, 4. Complexity and 5. Scalability and Limited Human Oversight.
Now, how does an automated system differ from an autonomous system?. If Tesla were to provide alerts for every left and right turn and you, as the driver, make those turns based on the alerts, that would be an automated system. In this case, the responsibility is shifted to the driver rather than relying solely on the machines.
Sedai announced today that it has achieved the AWS Lambda Ready designation, part of the Amazon Web Services (AWS) Service Ready Program. This designation recognizes that Sedai has demonstrated successful integration with AWS Lambda.
