SEBI Is Adopting AI Technology
It was recently made public that SEBI, the Securities and Exchange Board of india, is in discussions about collaborating with a major artificial intelligence systems company based in the US. SEBI is reportedly interested in the US company of choice since it is alleged to have had clout when it comes to helping Las Vegas casinos track gamblers.
According to speculation, SEBI intends to investigate the potential benefits of AI technology on a number of fronts, with the need to combat insider trading in india at the top of the list of priorities. The technology can be very useful in other areas as well, as it would boost players' confidence when playing live casino games at any authorised operator. The installation of the system would result in benefits in all areas.
Initial discussions between SEBI and the US organisation started a while back. The organisation has recently been shown the software options, how it functions, and eventually how SEBI in india may benefit from it. The system will stand out since all of the software will be custom-made to meet SEBI criteria and market standards. It's not a one-data-size-fits-all strategy; rather, it's been specifically tailored to ensure that it achieves the desired goals in the most effective manner.
According to speculation, SEBI intends to investigate the potential benefits of AI technology on a number of fronts, with the need to combat insider trading in india at the top of the list of priorities. The technology can be very useful in other areas as well, as it would boost players' confidence when playing live casino games at any authorised operator. The installation of the system would result in benefits in all areas.
Initial discussions between SEBI and the US organisation started a while back. The organisation has recently been shown the software options, how it functions, and eventually how SEBI in india may benefit from it. The system will stand out since all of the software will be custom-made to meet SEBI criteria and market standards. It's not a one-data-size-fits-all strategy; rather, it's been specifically tailored to ensure that it achieves the desired goals in the most effective manner.