I’m really intrigued by the idea that enterprise compliance and domain-specific accuracy are going to be key differentiators moving forward. It’s exciting, but also a little intimidating for smaller players. It’s no longer enough to have a great model, you need proprietary data and compliance-first architecture to survive.
Yes, collecting and owning your data is almost always a good plan, going forward even more crucial though, irrespective of models and compliance too indeed messy with the speed rules keep changing, all the AI Acts, sector rules and what not plus all the documentation and cost that comes with it, so unless its done by default in design early from day one.
Exactly!! Owning data and building compliance-first from day one is becoming non-negotiable. The pace of regulation and documentation costs can definitely be overwhelming, but it's clear that integrating this early on is key to long-term survival. Exciting but definitely challenging!
I’m really intrigued by the idea that enterprise compliance and domain-specific accuracy are going to be key differentiators moving forward. It’s exciting, but also a little intimidating for smaller players. It’s no longer enough to have a great model, you need proprietary data and compliance-first architecture to survive.
Yes, collecting and owning your data is almost always a good plan, going forward even more crucial though, irrespective of models and compliance too indeed messy with the speed rules keep changing, all the AI Acts, sector rules and what not plus all the documentation and cost that comes with it, so unless its done by default in design early from day one.
Exactly!! Owning data and building compliance-first from day one is becoming non-negotiable. The pace of regulation and documentation costs can definitely be overwhelming, but it's clear that integrating this early on is key to long-term survival. Exciting but definitely challenging!