What companies should look for when picking an AI training solution

ARTIFICIAL intelligence is a key technology for organizations looking to rapidly improve their training efforts.

AI not only makes it easy to provide personalized training but also helps develop smarter training solutions that transform the training experience and helps deliver “learning” in a way that sticks. Experts believe AI is going to remodel education as a whole.

AI in the education market will surpass US$6 billion by 2024. The use of AI in education and training will be more expansive than it already is.

Naturally, there is more scrutiny on AI and its implementation in classrooms.

For educational institutions and companies looking to invest in an AI solution, here are three things to keep in mind:

#1 | Choose a suitable developer

Regulations on AI will increase over time. That’s just going to be part of the AI journey, especially when it comes to developing training courses.

In order to ensure that the solution purchased by the company is viable for the foreseeable future, make sure that the developer is a suitable one — someone who can help make the ensure compliance with laws as they evolve.

#2 | Ensuring structure

Not all AI is equal. Sophisticated AI systems will only work for companies that have the data in place to support them. When this is not available, the AI solution will not be of much value.

Companies, therefore, should choose developers who design systems that can scale as companies gain access to more data.

#3 | Prioritizing quality data

When machine learning is applied to the data points that an AI collects, the training experience can be vastly improved.

Hence the quality of data collected is of utmost importance to AI developers.

Introducing AI in training is no easy feat. Talks about AI began in the 1960s but it’s only now that we’re applying AI in day-to-day use. While not everyone feels at stake about the use of AI in training, the technology is bound to shape our future.

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