The author suggests that businesses can adopt cognitive automation by starting with optimizing a particular section of a workflow and using low-code or no-code platforms. Training and adoption modules can help teams adapt to the new technology. The integration of cognitive automation into operational workflows can increase revenue, improve operational efficiency, and foster customer-centricity. Despite the challenges, the benefits of cognitive automation, which include efficiency and innovation, outweigh the risks.
Key takeaways:
- Cognitive automation, which uses natural language processing, computer vision, and machine learning algorithms, can significantly increase operational efficiency by automating tasks that involve perception, judgment, and decision-making.
- Despite its potential, cognitive automation also has limitations and challenges, including fears about accountability, the risk of job displacement, and high initial investment costs, especially for small companies.
- Before integrating cognitive automation, it's crucial for organizations to conduct a proper needs assessment to understand whether it can fit their organization well.
- Integrating cognitive automation into operational workflows can create a pivotal shift in augmenting operational efficiency, mitigating risks, and fostering unparalleled customer-centricity, thus helping companies redefine their future of work and marking a first step toward Industry 5.0.