Data is everywhere, and yet valuable insights are hard to find. That’s because much of this data is unstructured, in the form of verbal commands, social media posts, and even text-speak. If you’re a developer, you’ve probably felt the pressure to develop an app that can unlock the potential in all that data. IBM Watson cognitive application programming interfaces (APIs) are the key. With Watson cognitive APIs, you can rapidly build powerful applications that incorporate cognitive capabilities in areas such as natural language understanding, speech-to-text, and text analytics. In this podcast, Watson Developer Evangelist Zach Walchuk discusses how to use Watson APIs as “building blocks” to easily develop rich cognitive applications that can unlock the business value in unstructured data. Tune in to hear how to create enhanced conversational and social media monitoring apps in minutes, not months, as well as how to experiment with Watson APIs for free.
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Data is everywhere, and yet valuable insights are hard to find. That’s because much of this data is unstructured, in the form of verbal commands, social media posts, and even text-speak. If you’re a developer, you’ve probably felt the pressure to develop an app that can unlock the potential in all that data. IBM Watson cognitive application programming interfaces (APIs) are the key. With Watson cognitive APIs, you can rapidly build powerful applications that incorporate cognitive capabilities in areas such as natural language understanding, speech-to-text, and text analytics. In this podcast, Watson Developer Evangelist Zach Walchuk discusses how to use Watson APIs as “building blocks” to easily develop rich cognitive applications that can unlock the business value in unstructured data. Tune in to hear how to create enhanced conversational and social media monitoring apps in minutes, not months, as well as how to experiment with Watson APIs for free.
The popularity of mobile messaging and productivity platforms. The
growth of the Internet of Things. The proliferation of robots for improving customer service. All are providing organizations with new opportunities to increase customer engagement. Yet delivering a superior customer experience at scale can be a challenge if virtual agents and chatbots are
hand-crafted and hard to maintain. Now there are more effective techniques and ways to build a chat bot, thanks to artificial intelligence and cognitive computing. In this episode of the Watson Innovations podcast, Brian Loveys, Program Director for Watson Emerging Technologies, discusses how the new Watson Conversation chatbot API gives business users and developers alike the ability to create bots driven by the latest advancements in machine learning and natural language understanding. Hear what makes Watson chatbots unique, then find out how easy it can be to build a bot that can be deployed via Facebook Messenger, Slack, a car, or even a physical robot. You’ll even learn how to create a chat bot in minutes, not months!
IBM Watson
Data is everywhere, and yet valuable insights are hard to find. That’s because much of this data is unstructured, in the form of verbal commands, social media posts, and even text-speak. If you’re a developer, you’ve probably felt the pressure to develop an app that can unlock the potential in all that data. IBM Watson cognitive application programming interfaces (APIs) are the key. With Watson cognitive APIs, you can rapidly build powerful applications that incorporate cognitive capabilities in areas such as natural language understanding, speech-to-text, and text analytics. In this podcast, Watson Developer Evangelist Zach Walchuk discusses how to use Watson APIs as “building blocks” to easily develop rich cognitive applications that can unlock the business value in unstructured data. Tune in to hear how to create enhanced conversational and social media monitoring apps in minutes, not months, as well as how to experiment with Watson APIs for free.
