The coming applications for artificial intelligence are innumerable, with the potential for integration into thousands of software and hardware systems.

AI already helps reveal patterns in seasonal purchasing, allowing businesses to get ahead of demands by pre-ordering goods, while similarly facilitating streamlined comparisons between supplier offers and capabilities. The advantage of the next generation of assistants could be even greater, however, offering levels of customizability formerly confined to only the most technologically savvy users.

The basis for this idea is simple, coming from AI’s rapidly improving ability to understand context and interpret text and images. With a little work, it should be possible for business owners and employees to utilise such tools to simplify significant portions of the existing workflow.

This wouldn’t just improve efficiency, it could also provide advantages in usability for workers with mobility and visual impairments, at least once they’ve proven themselves through more casual testing grounds.

Creating Simple Custom Rulesets

To explain what we mean more directly, we’re talking about an AI assistant that you’d be able to operate directly by explaining verbally or through text how to connect two otherwise disparate applications. Most people who work with computers in business have had to transfer data between programs before, and even if the process is simple, it can be time-consuming when done repeatedly. These tasks may be straightforward for the user, involving a simple process that needs to be followed when no other viable solution is available.

Modern artificial intelligence could solve this issue by applying a consistent kind of framework to aid in low-level transference like this. We could tell AI to copy this field from this program into this field in another program. Using image recognition and context clues, AI could then complete this part of the process from now on, even working through thousands of fields in minutes. What’s more, this could be implemented in a way that works with voice commands, allowing advancements beyond touch systems which already greatly facilitate improved employment inclusion.

First Steps to Engagement

While businesses could see some of the most profound advantages through new generations of AI assistants, they’re likely to first go through the testing ground of mainstream entertainment. The basic ideas here are already implemented with smart TV remotes for voice searches, but AI could take usability to a whole new level with interactive entertainment.
Consider the kinds of iGaming opportunities which exist today as an avenue for future exploration.

Consider the kinds of iGaming opportunities which exist today as an avenue for future exploration. Popular New Jersey casino apps for Apple and Android don’t use AI assistants yet, but they’re already extremely accessible and navigable from mobile and desktop devices. Whether signing up, collecting free spins or deposit matches, or playing the games, everything is clearly labelled and easy to operate. Third-party assistant AI in the future could understand each of these elements without much effort, allowing more players to engage, especially if those users had visibility or dexterity concerns.

If such AI is already possible theoretically, then the question naturally becomes why isn’t it here yet? There are several reasons, including AI processing costs, user security, and the desire of big companies to understand the complexities of such broad-reaching software before going live. That said, such powerful assistant tools in both work and entertainment are a matter of when, not if. Of course, they’ll still depend on our training to unlock their full potential, but that’s a challenge for another day.