To streamline operations, the company leveraged various IBM Watson products, including Watson Assistant, to create a cognitive system that engineers can activate to query information. Ultimately, these efforts took four times as long as the actual engineering work.
To do everything properly, they had to consult large volumes of documentation.
#Create chatbot using ibm watson how to#
Data analysis chatbotĪccording to an IBM case study, engineers at Woodside, an Australian oil and gas company, were spending lots of time identifying how to solve engineering problems (such as repairing large, sophisticated machinery) and pinpointing potential safety hazards in the field. The third aggregates data to serve the public good. The first two solve business problems for large companies. To get a sense of what’s possible with Watson Assistant, let’s look at three different types of chatbots. You can start using Watson Assistant for free, and there’s even a graphical user interface for non-developers who want to create and manage bots. However, even though Watson Assistant is powerful enough for ambitious projects, smaller organizations need not be intimidated. Given the general IBM focus on the enterprise, it’s no surprise that large companies are using Watson Assistant to build sophisticated AI tools for a variety of internal purposes. In terms of features, integrations, and overall flexibility, it carries its weight among the other major players in this space, including Amazon Lex, Dialogflow, and Microsoft Bot Framework. Watson Assistant is a comprehensive chatbot framework with built-in machine learning capabilities. Among other things, we’ll explore use cases, features, integrations, and the basics of the Watson Assistant machine learning engine. To get a sense of what’s possible with Watson Assistant, let’s do a deep dive into the framework. The Watson Assistant chatbot framework is available to virtually all developers, extending IBM AI technology to the masses.
Around the time of its Jeopardy! appearance, some IBM enterprise clients had begun using it for specialized use cases, but the technology wasn’t available to everyone. Clearly, Watson was smart.īack then, Watson was still a closed system. And Watson didn’t beat just anybody-it defeated two of the program’s most decorated champions. In an event that gave many people their first exposure to conversational AI, IBM Watson competed (and triumphed) against human contestants on the game show Jeopardy!. You probably heard about Watson in 2011, when the rest of the world did.
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