AI adoption is rapidly moving from an experiment to an essential part of business practices and planning. Across every industry, more use cases are being developed for AI to drive business efficiencies, optimize data, improve the customer experience and support business goals and initiatives. Companies looking to mature their AI programs should keep an eye out for these important conversations around the adoption of AI tools and technology.
Trend 1: When In Doubt, Automate
Machine learning is a valuable tool that has benefited businesses for decades but only became widely popular recently. In this new era of digital acceleration, companies are looking for ways to drive efficiency in their companies—and for many, the answer lies in automation.
It’s a common misconception that machine learning and automation will take over the majority of human jobs. This rumor was largely spread due to reports indicating that large amounts of displaced jobs were more entry-level positions that machines could easily replace. And while machine learning and AI have taken on many progressive companies’ more routine day-to-day tasks, it actually frees up employees to ideate, create and do the work uniquely suited to human beings.
Companies that want to drive efficiency should look to machine learning and automation to streamline processes and bolster productivity. Automation through intelligent document processing can improve your paperwork and records filing, glean information from documents with near-perfect accuracy and streamline mailrooms. Consolidating document capture through machine learning and automation decreases error and helps your employees clear their schedules of the tasks that are best suited to AI—tasks that are repetitive, and procedural in nature, where machines can perform faster and more accurately than humans. Human Intelligence (HI) can then focus on the tasks they are supremely well suited for: those that are more expansive, where we can use unique human senses of anticipation, feel, emotion and imagination. Overall, it’s a win-win for you and your employees. Automation can drive efficiencies and accuracy while opening doors for humans to do what we are uniquely created to do.
Continue reading: https://www.forbes.com/sites/forbesbusinesscouncil/2022/10/24/four-ai-trends-to-watch/?sh=3df89cbf40bf
Trend 1: When In Doubt, Automate
Machine learning is a valuable tool that has benefited businesses for decades but only became widely popular recently. In this new era of digital acceleration, companies are looking for ways to drive efficiency in their companies—and for many, the answer lies in automation.
It’s a common misconception that machine learning and automation will take over the majority of human jobs. This rumor was largely spread due to reports indicating that large amounts of displaced jobs were more entry-level positions that machines could easily replace. And while machine learning and AI have taken on many progressive companies’ more routine day-to-day tasks, it actually frees up employees to ideate, create and do the work uniquely suited to human beings.
Companies that want to drive efficiency should look to machine learning and automation to streamline processes and bolster productivity. Automation through intelligent document processing can improve your paperwork and records filing, glean information from documents with near-perfect accuracy and streamline mailrooms. Consolidating document capture through machine learning and automation decreases error and helps your employees clear their schedules of the tasks that are best suited to AI—tasks that are repetitive, and procedural in nature, where machines can perform faster and more accurately than humans. Human Intelligence (HI) can then focus on the tasks they are supremely well suited for: those that are more expansive, where we can use unique human senses of anticipation, feel, emotion and imagination. Overall, it’s a win-win for you and your employees. Automation can drive efficiencies and accuracy while opening doors for humans to do what we are uniquely created to do.
Continue reading: https://www.forbes.com/sites/forbesbusinesscouncil/2022/10/24/four-ai-trends-to-watch/?sh=3df89cbf40bf
