There’s strong support for analytics and data science and the capabilities it offers organizations. However, the people charged with developing analytics and artificial intelligence feel resistance from business executives in getting fully on board with data-driven practices. In addition, efforts to ensure fairness in AI are lagging.
That’s the word from a recent study of 277 data managers and scientists out of SAS, which finds that overall, more than two-thirds were satisfied with the outcomes from their analytical projects. At the same time, 42% say data science results are not used by business decision makers, making it one of the main barriers faced.
A lack of support from above is cited as the leading challenge to getting data analytics initiatives off the ground, the survey shows. Data quality issues ranked second, followed by lack of adoption of the results by decision-makers. It’s interesting that “explaining data science to others” is also seen as a challenge, suggesting that a big part of managers’ jobs needs to be evangelizing and educating their business counterparts on the benefits data analytics can deliver to their organizations, and how to do it right.
Continue reading: https://www.forbes.com/sites/joemckendrick/2022/02/28/responsible-artificial-intelligence-is-still-out-of-reach-for-many-organizations/?sh=451caf85231f
That’s the word from a recent study of 277 data managers and scientists out of SAS, which finds that overall, more than two-thirds were satisfied with the outcomes from their analytical projects. At the same time, 42% say data science results are not used by business decision makers, making it one of the main barriers faced.
A lack of support from above is cited as the leading challenge to getting data analytics initiatives off the ground, the survey shows. Data quality issues ranked second, followed by lack of adoption of the results by decision-makers. It’s interesting that “explaining data science to others” is also seen as a challenge, suggesting that a big part of managers’ jobs needs to be evangelizing and educating their business counterparts on the benefits data analytics can deliver to their organizations, and how to do it right.
Continue reading: https://www.forbes.com/sites/joemckendrick/2022/02/28/responsible-artificial-intelligence-is-still-out-of-reach-for-many-organizations/?sh=451caf85231f
