Intelligent automation (IA) combines artificial intelligence (AI) and robotic process automation (RPA), as well as other emerging technologies. By merging the “brainpower” of AI with the “muscle” of process automation, IA is uniquely positioned to not only transform business operations but also adapt and learn as it does so.
IA widens the scope of automation, incorporating applications that consist of but are not limited to pattern analysis, data assembly and classification. Businesses are increasingly turning to IA solutions that embrace a holistic approach to automation.
“These tools are making automation more accessible to both technical and non-technical users, aligning with the principles of alignment, clarity and transparency (ACT) to ensure everyone involved has a clear understanding of the process and outcomes,” says Doug Shannon, global IA/generative AI thought leader and Gartner Peer Ambassador.
Download this report to explore:
- The trends shaping the IA landscape.
- Case studies and guidance from leaders at Infocap, Gordon Food Service and Navy Federal Credit Union.
- IA success factors and challenges.