Conversational design is the process of planning for the needs of your users, building dialogue for them to respond, crafting the flow of typical conversations, writing responses and creating opportunities for your AI assistant to learn and grow with your organization.
Watson Studio was named a “Leader” in the Forrester Q3 2018 Wave report on Multimodal Predictive Analytics And Machine Learning Solutions. According to the Forrester report, IBM Watson Studio is a “perfectly balanced PAML solution for enterprise data science teams.
Conversational AI allows for nuanced interactions which are more human-like than typical chatbots. To learn how to get started building a conversational AI solution for your business, register for the IBM Masterclass: Core Conversational AI Concepts.
Watson’s technology is empowering the USTA digital teams to deliver the most exciting tournament moments faster than ever. The all-new “AI Highlights from Watson” – a suite of powerful AI solutions on the IBM cloud – is reinventing the highlights production process allowing the USTA to release highlights within minutes of a matches conclusion.
In episode 1 of the Masterclass, you will learn about conversational AI use cases, how to scale AI across your organization, and how to prove value when planning for and developing your solution.
IBM experts discuss the latest trends in machine learning and how businesses are applying deep learning to real-world use cases. Understand the importance of equipping your data science teams with the tools they need to build powerful models in an accessible, open AI environment.
Building trust in the age of AI – How businesses can build fairness into their machine learning models
Every organization that develops or uses AI, or hosts or processes data, must do so in ways that allow them to rationalize the decisions or recommendations in a way that is easily consumable. Let's examine Forrester's recommendations how organizations can leverage AI for the good of humankind, while avoiding the ethical pitfalls associated with perceived discrimination.