We like the 5-point breakdown of what makes AI automation programs successful in the workplace. Overall, the time needed to inspect patients’ slides and shortening the move to digital pathology are made easier with OpenVINO.
UiPath’s recent RPA article discusses the key behaviors that contribute to the success of AI-powered automation programs. It emphasizes that automation is not limited to RPA and AI, but can also include robotic machines, software robots, or a combination of intelligent automation.
The article, published in January 2024, identifies five key behaviors that make automation programs successful. It highlights the role of automation in reducing the time taken for physical inspection of patient’s slides, which can be up to 40 to 60 minutes. By digitizing biopsy slide samples into whole-slide images and storing and analyzing them, automation can save significant time and resources.
This content also discusses the importance of having the right infrastructure in place for successful automation. It mentions the Intel® Distribution of OpenVINO™ toolkit running on Intel® architecture-based platforms and Intel® OpenVINO™ Model Server beside Intel® Edge-Native Software Platform as potential solutions to simplify the move to Digital Pathology for clinics and research facilities. This article provides valuable insights into the world of automation and the key behaviors that contribute to the success of AI-powered automation programs.
Bain & Company’s “The State of AI-Powered Automation” contributed valuable survey-based insights to the article. Of particular note are the expectations of higher ROI as a result of automation among 74% of respondents.