@itsthedonhashim@sairahul1 I personally feel that AI works best behind the scenes, & ATM, their most effective application comes from the roles that middleware layers like https://t.co/oA1KJAaM6u play in bridging legacy systems to digital rails, with governance tools made available to keep them accountable
@Rifat_EE With the embrace of agents comes programmability, which is what institutions prioritise, as middleware layers like https://t.co/oA1KJAaM6u position themselves as bridges between legacy financial systems & digital rails while facilitating compliance across orchestrated settlements
@TheCryptoSquire Crypto gaining its framework would position it as a threat in the form of an efficient alternative to the banks, particularly with the presence of smart workflow layers like @w3arew3 within the infrastructure, orchestrating compliant settlements on their rails
I'm not surprised
@Alisina_base@nabu_lines AI tech serves as that layer that connects facets required to usher in the next phase across sectors, like in finance, demonstrated by smart workflow layers like https://t.co/oA1KJAaM6u, which don't just make techs like blockchain smarter, but also connect them to practical use
@Ellaweb_3 Financing is the bottleneck within the private credit pipeline, being addressed by developments like this
One I noticed lately is TradFi's partnership with @w3arew3's smart workflow layer to usher composability into the structure
Credit-making decisions are getting efficient
@AzimOscar@moneyacademyKE This is machine intelligence, so it shouldn't come as a surprise
It's more reason that the presence of control layers for agents, the likes of that provided by https://t.co/oA1KJAaM6u, cannot be glossed over, as they facilitate governance
These models must be kept accountable