Interested in building with Watson, but not quite sure how yet? We curated some use cases of companies that have integrated cognitive into their solutions. If you want to know more about any these use cases and receive tips from these companies, check out their webinars.
Expert Wine Advisor
VineSleuth’s Wine4.Me In-Store Wine Advisor takes the guesswork out of buying wine by empowering shoppers and increasing sales. Shoppers tell the application what they want in a wine (flavor profile, food pairing, price requirements and more) and Watson returns a custom curated, unbiased wine list and suggests food pairings for each shopper. Watson, the sommelier!
How it works: VineSleuth uses Natural Language Classifier and Speech to text APIs to allow consumers to easily ask a question into the application, either through voice or text. Then, the application returns highly accurate answers that allow the user to impress their guests with an impeccable wine and food pairing.
A pioneering Centre of Excellence for Cognitive Computing, Machine Learning and Artificial Intelligence – Volume.XO – has created two applications to help employees from the sales and customer service industries perform their job better.
They first created a “virtual assistant” to improve the self-serve cycle, allowing their client to deliver high-quality customer service on their website, 24/7. With this “virtual assistant,” consumers can ask questions in their own time and on their own terms, and receive accurate and consistent responses.
The second product Volume.XO created is a cognitive Learning Management System. This enables sellers to ask technical, commercial, or product-related questions in natural language to a platform that delivers accurate responses. This solution is especially valuable in training, as it allows sellers to ask questions whenever they may arise.
How it works: Using Natural Language Classifier and Dialog APIs, Volume.XO stimulates one-to-one engagement between the end-user and application by delivering highly accurate answers.
Fan engagement platform
ThinAire’s cloud based solutions allow marketers to drive engagement to the right consumer’s device at the right time. Today their solution is implemented in the Detroit Pistons Stadium in an effort to increase fan engagement by linking the physical world to the digital world.
How it works: Their application uses the Sentiment Analysis API to match the sentiment of the consumer with what is actually happening on the basketball floor. Thinaire’s solution collects that information in real-time and sends highly personalized offers to consumer’s devices. This contextual targeting improves the likeliness that the consumer will make a purchase. This means no more annoying ads, but rather we as the consumer get offers that we actually want.