Cognitive technology, from AI research and machine learning to bots, has recently taken the tech space by storm. We definitely saw this in Pittsburgh, a city with a growing new tech sector that’s helping expand its identity beyond its steel roots.
It was the last stop on our IBM Coding Cognitive series, where we partnered with the Ace Hotel and also traveled to New York and London to help build bots around the world. Since February, more than 150 developers attended the series and participated in hands-on programs with Watson Conversation. We welcomed students, developers, technologists, artists, journalists and others to create a functional bot within two hours with help from our top developers and engineers.
In Pittsburgh, the program was part of the city’s Inclusive Innovation Week. Jeanne Jang, director of IBM’s Digital Innovation Lab, shared with the Pittsburgh Post-Gazette, “Any time you have a diverse group of people, the outputs are better.” She explained that an inclusive group of people can help refine Watson’s “corpus of knowledge.” Armen Pischdotchian, academic tech mentor at IBM Watson, took the Pittsburgh class through the paces teaching about bot building, intents and breathing life into AI.
While our official series has wrapped, it’s not too late to experience Watson Conversation for yourself and use the Learning Lab to bring your chatbot project to life. Need some inspiration? We have use cases for all levels and market segments including: Development, FinTech and Marketing. Don’t wait. Starthere!
Interested in the Learning Lab and building with Watson?
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A vulnerability, Sweet32, was recently identified in cipher suites that use the 3DES block cipher algorithm. The support for 3DES cipher suites in TLS connections made to Watson Developer Cloud services is being disabled to eliminate this vulnerability.
Access to appropriate domain data is the dominant factor in determining the performance of speech recognition APIs. Watson offers a cloud-based API with a general model with the option to customize, allowing you to build a customized model versus contributing data to a central database.