The pressure of working in the AI industry is definitely immense and a new study by InRule Technology is shedding light upon just that.
The report comprised of results from a study that was conducted with the help of a survey commissioned with Forrester.
Hence, the findings proved how nearly Two-Third of AI decision-makers feared they’ll fall short of meeting their business’s ethical goals. But that was just the tip of the iceberg in terms of other worries that they had.
Other risks being talked about in detail were related to increased costs, poor business outcomes, and the fear of not meeting regulatory targets outlined on day one. Interestingly, only around 50% were confident about their performance in overcoming such risks.
66% of respondents agreed that in today’s fast-paced digital world, artificial intelligence with the combination of machine learning was doing wonders in terms of making decisions for digital reasons. And these figures are deemed to jump by almost three folds in the next few years.
There are still a huge number of complexities related to incorporating different types of technologies in terms of automated processes. And as you can expect, that is creating huge roadblocks.
We’ve got two types of process automation involved today: Robotic and Digital and while both are quite common, they appear to not be meeting the exact demands in terms of being fully automated.
It’s obvious why so many are hesitant to take on board these technologies because of their sheer source of complexities and also how demanding they each are in terms of maintaining results.
And while more and more firms are creating business models with automatic solutions, things can get pretty tough when you’re dealing with methods that don’t always amalgamate in a seamless manner. Therefore, they end up needing constant overseeing and evaluation which isn’t quite easy to do on a regular basis, as confirmed by two-thirds of those taking part in the study.
They claim that there are so many problems that such systems bring in that IT decision-makers find it hard to cope sometimes.
Some go as far as stating their concerns about the harmful bias elements that further lead to poor decision-making and loss of efficient operability. And in the end, there is a huge fear relating to ruining age-old customer relationships.
Shockingly, it might no longer be fear and instead be looked at as a reality as three-fourths of the respondents claim their firm may have seen such bias take place during digital decision-making.
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The report comprised of results from a study that was conducted with the help of a survey commissioned with Forrester.
Hence, the findings proved how nearly Two-Third of AI decision-makers feared they’ll fall short of meeting their business’s ethical goals. But that was just the tip of the iceberg in terms of other worries that they had.
Other risks being talked about in detail were related to increased costs, poor business outcomes, and the fear of not meeting regulatory targets outlined on day one. Interestingly, only around 50% were confident about their performance in overcoming such risks.
66% of respondents agreed that in today’s fast-paced digital world, artificial intelligence with the combination of machine learning was doing wonders in terms of making decisions for digital reasons. And these figures are deemed to jump by almost three folds in the next few years.
There are still a huge number of complexities related to incorporating different types of technologies in terms of automated processes. And as you can expect, that is creating huge roadblocks.
We’ve got two types of process automation involved today: Robotic and Digital and while both are quite common, they appear to not be meeting the exact demands in terms of being fully automated.
It’s obvious why so many are hesitant to take on board these technologies because of their sheer source of complexities and also how demanding they each are in terms of maintaining results.
And while more and more firms are creating business models with automatic solutions, things can get pretty tough when you’re dealing with methods that don’t always amalgamate in a seamless manner. Therefore, they end up needing constant overseeing and evaluation which isn’t quite easy to do on a regular basis, as confirmed by two-thirds of those taking part in the study.
They claim that there are so many problems that such systems bring in that IT decision-makers find it hard to cope sometimes.
Some go as far as stating their concerns about the harmful bias elements that further lead to poor decision-making and loss of efficient operability. And in the end, there is a huge fear relating to ruining age-old customer relationships.
Shockingly, it might no longer be fear and instead be looked at as a reality as three-fourths of the respondents claim their firm may have seen such bias take place during digital decision-making.
