Because AI planning, implementation, and maturation are all distinctive – but equally lengthy – processes. Leaders rushing into deployment may alienate their workforce or invite incorrect AI outputs.
According to industry research, only 14% of denmark whatsapp number data frontline employees working at AI-enabled organizations believe they’ve received adequate training. Perhaps even more concerning, 63% of adopters cite content inaccuracies as a major challenge when co-working with AI – yet they continue to use these tools. Continued reliance on a predictably inaccurate AI integration increases the likelihood of errors, decreasing the tool’s value and potentially damaging brand reputation.
Leaders can avoid these troubling AI side effects by adopting a well-prepared and thorough deployment strategy today.
It’s a Marathon, Not a Race
Leaders who’ve yet to implement AI and ML should take time in the new year to strategize about AI’s applicability, educate their workforce and prepare organizational data.