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.
IBM has been named a leader in AI-Based Text Analytics Platforms by The Forrester Wave ™, Forrester's rigorous evaluation of vendors in a software, hardware, or services market. Watson Discovery, Watson Explorer, and Watson Natural Language Understanding’s strengths and weaknesses were assessed alongside seven other providers.
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.
IBM Watson Knowledge Catalog was recently recognized by Forrester as a Leader in: “The Forrester Wave™: Machine Learning Data Catalogs, Q2 2018.” IBM’s MLDC offering, Watson Knowledge Catalog, is a powerful tool that developers and data scientists can use to index all the available data sets in their business.
Keeping customers happy, and maintaining a streamlined customer service process is more important than ever. AI-solutions have proven extremely valuable in mitigating the pitfalls of customer-service, especially when a business is using Salesforce to manage their customer relationships.
IBM and Box are excited to announce the availability of a new service offering to help organizations build custom Box Skills that apply Watson AI technologies to the Box Skills framework.
We're thrilled to share that IBM Watson Studio was named winner for the "Best innovation in Deep Learning" at the world-renowned, independently-judged AIconics awards in London this week. IBM won the award for "being a pioneer in deep learning, helping to drive machine learning applications towards the true potential of AI."
IBM Watson Studio and Watson Knowledge Catalog include Data Refinery for self-service data preparation. Data Refinery puts data pre-processing and feature engineering in the hands of data scientists, enabling faster data insights.
The potential in AI to improve our lives and our businesses is potentially limitless, but as with any new technology, we must approach it responsibly and with a willingness to learn and adapt. Here are three lessons we learned from our own interactions with clients and colleagues.