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.
Neural Machine Translation technology comes standard in the IBM Watson Language Translator service. NMT is an advanced machine translation method based on deep learning, the development of which has led to remarkable improvements in translation fluency and the achievement of higher human evaluations.
Discover how one author used IBM Watson Text to Speech to help bring his literary character to life. Text to Speech synthesizes text to audio in various languages, voices and dialects.
According to a new 2018 survey on IVRs, 83% of respondents said they would avoid a company after a poor experience with an interactive voice response system. Learn about Watson Assistant, a service which can interact with end users using natural language, and is already in use for text-based interactions.
Updates to Watson Visual Recognition – Price reduction for Custom Classification, and Food and Explicit Models are now GA
Announcing updates to the IBM Watson Visual Recognition: A price reduction for Custom Classification events, and two models becoming generally available. Our blog highlights all these exciting changes.
Be sure to check out our deep learning webinar on Tuesday, May 8, where IBM Watson's Anthony Stevens will walk you through how to apply deep learning to your business.
We're excited to announce the launch of Deep Learning as a Service within Watson Studio. Drawing from advances made at IBM Research, Deep Learning as a Service enables organizations to overcome the common barriers to deep learning deployment: skills, standardization and complexity.
Now that Watson Knowledge Studio has moved to the IBM Cloud, teams will find it simpler to apply their custom, domain-specific models with Watson Discovery and Watson Natural Language Understanding services.