I agree, there is a lot of hype and throwing around of AI buzz words, unfortunately it is always the case when there is a disruptive technology that emerges. People will inevitable capitalise on the wave. It's human nature.
But, being somewhat of a passion of mine ever since I was first introduced to it almost 20 years ago studying neural networks and fuzzy logic way back when I was in uni and more recently and more from a practical perspective being heavily involved with deep learning myself for several years now, well before modern technologies like ChatGPT and the many that have come since it have became widely available, and being a business owner always looking for efficiencies, I can tell you a vacuum has been created where businesses will find it extremely valuable to fill in gaps or potentially reduce staff costs thought he use of AI. It is inevitable.
The trouble is, the vast majority of business owners will have no idea how to capitalise on this opportunity, and the same way they rely on SAAS solutions and service providers to manage their IT, accounting, ecommerce, you name it, business with emerge to service AI employees. This is where a company like Decidr can potentially come in, that is if it would work the way I understand it could work. I imagine they would have the integrations with the accounting software, the project management software, the collab and chat software, the HR software, the ecommerce software etc etc All of these modern SAAS solutions that companies rely on to run their day to day operations have API's that can be accessed and communicated with. Decidr having integrated with these, would then be able to tap into existing pre-trained models (or specially trained models) that honestly would cater for the vast majority of use cases. It could be used to find opportunities in all matter of areas, or even just to keep operations running smoothly. Imagine being able to ask your AI purchasing officer, how much stock of what products you should purchase and in what warehouses what qty's should be housed, you would normally need somebody with a high degree of specialism to give you any meaningful answer to that, most companies wouldn't even bother or could not afford that level of insight. That applies to so many areas of a business. All of a sudden, we can now close the gap.
I could go on for hours on how this could work, but ultimately a project like that would need the right people to fund it and the right team to build it, and I can see these boxes being ticked with Decidr. It's pretty obvious to me what LV1 is.
Expand
(20min delay)