Part 3/13:
He recounted riding numerous technological waves—from business intelligence to blockchain, IoT, Web 3.0, and machine learning—highlighting how each cycle has been driven by a need for robust backend infrastructure. Recognizing this pattern, he argued that understanding and investing in these under-the-hood workloads is crucial for sustainable growth, scalability, and success.
Building AI Applications: Cloud Considerations and Challenges
A significant portion of the discussion centered on the considerations necessary when developing AI applications in the cloud. He emphasized industries such as oil and gas, mining, logistics, telecom, and industrial sectors where the demands for real-time data processing from sensors, drones, and IoT devices are particularly high.