Part 1/11:
Reinventing Data Platforms in the Era of Machine Learning and Generative AI
In today’s rapidly evolving technological landscape, enterprises face an overwhelming influx of artificial intelligence (AI) noise—an environment saturated with new models, frameworks, and tools. During a recent postline session, a speaker shed light on the urgent need to rethink and redesign data platforms to keep pace with innovations like generative AI and agentic architectures. This discussion emphasized transforming traditional data infrastructure into intelligent, real-time, scalable systems capable of supporting the demands of modern AI-driven enterprises.