IBM Customer Care Voice Agent is easy to set up and connect to existing call center infrastructure or telephone networks. That's part of the reason Forrester named IBM Watson Assistant the leader in their report, “The Forrester New Wave™: Conversational Computing Platforms, Q2 2018.”
At IBM, we’ve seen our customers use AI as a catalyst to reimaging their workflows – transforming how customer call centers operate, how people complete their taxes, and how legal professionals make data privacy compliance decisions. However, many organizations still continue to struggle in deploying their AI into production environments across their existing applications. For AI […]
Clearscope is able to use IBM Watson to reverse engineer the search engine process so content marketers can understand the key concepts surrounding the topics they want to write about, without having to duplicate content or resort to keyword stuffing.
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.
Concerning data privacy, IBM Watson services are trained and designed to process files such as customer contracts, disclosures, and reports which facilitate transparency and enable us to comply with international laws and policies.
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.