The data arms race in the AI world is shaping the future of technology and innovation. Ensuring data quality, addressing model collapse and choosing the right infrastructure are all critical components of success in this race. Andy Pernsteiner, chief technology officer of VAST Data Inc., spoke with theCUBE industry analyst Dave Vellante at Supercloud 4, discussing the critical issues surrounding data quality, specialized cloud service providers and the ever-expanding role of AI in our everyday lives. The demand for quality data has become paramount, and the race for data isn’t just about quantity; it’s about ensuring that the data is reliable and free from biases. One of the key challenges in this data arms race is model collapse, which occurs when a model is trained on too much data and becomes too complex to be useful.
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