Cognitive computing is the cutting-edge technology that assists in replicating human thought and planning process while making decisions. The integration of cognitive computing has significantly influenced productivity, efficiency, and decision-making in various industrial sectors. This technology is transforming the way businesses operate by assisting workers in complex and challenging tasks that require massive data processing, analysis, and identification of patterns. Furthermore, cognitive computing enhances natural language communication, computer vision, and speech recognition while crunching large data sets. These functions complement human intelligence, resulting in better-informed decisions, increased customer satisfaction, and significant cost savings.
Practical cases and success stories demonstrate how cognitive computing changes business operations positively. For instance, the Cognitive Assistant Robot for Manufacturing (CARM), designed by IBM is helping manufacturing companies globally. In the automotive industry, CARM examines every process within the manufacturing plant to determine areas that require intervention to improve efficiency. With the dataset obtained, CARM determines whether the machines operate optimally and minimizes their downtime by providing predictive maintenance. This improvement ensures reliable deliveries, reduces inventory levels and increases yield.
Another example is DBS Bank, which adopted IBM’s Watson cognitive computing technology to evaluate customer request history rapidly. Their aim was to increase the speed and accuracy of customer service, automate services, and find solutions quicker. As a result, DBS added conversational banking services through their DIGI bank app, where clients can access services like purchasing travel insurance, booking hotels, and obtaining investment advice instantly. The technology significantly enhances customer experience while reducing manual resources and time spent on issue resolutions.
The healthcare industry is another beneficiary of the cognitive computing process. Memorial Sloan Kettering Cancer Center (MSK) is using IBM’s Watson for Oncology to help doctors identify personalized cancer treatments depending on the patient’s DNA. The technology analyzes patient data, compares it to relevant medical textbooks and resources, and provides evidence-based treatment recommendations. This process saves time for doctors while providing reliable and accurate personalized treatment plans for the patients.
Cognitive computing also enhances decision-making in the financial industry. JP Morgan uses machine learning and cognitive computing to scrutinize their client’s document processing. Traditional methods required an average of 360,000 hours of human resources annually for client compliance. JP Morgan managed to automate the process, resulting in a significant reduction in human resources required as well as shorter durations for customer onboarding through the virtual assistant system over their mobile and web platforms.
In conclusion, cognitive computing technology has significantly influenced various industrial sectors’ productivity, efficiency, and decision-making processes. Companies that have grasped this technology’s power are employing it systematically and innovatively to complement human intelligence and processes. The power of cognitive computing, as demonstrated in the above cases, will undoubtedly pave the way to unlocking many new potentialities in business. Future endeavors in using cognitive computing will inevitably transform the way businesses operate, enhance efficiency, and enable tremendous growth potential.
