Here's a sneak peek:
E-commerce
In e-commerce, cognitive search takes into account your age, gender, location, previous purchases, and even your budget to suggest products you'll love. Plus, if you make a typo or use a different word for something, search picks up what you mean and finds exactly what you're looking for.
Example: Have you ever wondered how Amazon seems to know exactly which products to recommend to you based on your shopping habits? This is how cognitive search works.
Customer Support
Cognitive search increases customer support compatibility. It powers chatbots to help users find solutions in self-service portals and automatically routes support requests to the right teams. This results in faster resolutions and happier customers.
Example: A software company uses cognitive search in its help desk so customers audit directors auditors email list can type questions like "How do I fix this error?" and get answers instantly.
Health care
Cognitive search can quickly retrieve patient histories and analyze complex text documents. It can also analyze massive medical data sets, such as genetic information or clinical studies, to predict disease patterns and epidemics and even create personalized treatments. This is truly a game-changer in drug development.
Example: Doctors can enter "Patient [X] Blood Test and CT Results" to get a line-by-line summary of the records they need.
Knowledge management in corporations
For corporations, cognitive search helps employees quickly find the right information, regardless of where it is stored. Whether it’s company policies, project details, or industry information, cognitive search brings all information from different departments together in one place.
Example: Especially useful for employees, they can use AI in the workplace and find answers to common questions like leave policies or training resources in a matter of seconds.Finance
Cognitive search helps financial professionals detect fraud faster, analyze customer behavior, and organize data to make smarter investment decisions. It's like having a financial assistant who never misses a detail.
Example: A bank can use cognitive search to detect unusual transaction patterns for fraud detection and quickly analyze customer histories to offer personalized financial products.Bonus : Top 10 Long Language Models (LLM)