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Foundations of trustworthy AI: How mature is your AI governance?
As organizations scale their use of AI, they increasingly need to do so in a responsible and ...
Foundations of trustworthy AI: How to conduct trustworthy AI assessment and mitigation
The ability of artificial intelligence to perform important business tasks has grown by leaps and ...
Foundations of trustworthy AI: governed data and AI, AI ethics and an open diverse ecosystem
Companies around the world are realizing that building trust in AI is key to widespread adoption of ...
The 4 key elements missing from your conversational AI strategy
In 2021, enterprises who wish to implement a chatbot, virtual assistant, or conversational AI have ...
From the Data and AI Expert Labs: Invest in teams, not just technology
Understand that when you transform your day-to-day operations, breaking systems so you can put them ...
From the Data and AI Expert Labs: Break open your processes
Today, I want to reinforce that you shouldn’t rely on a compelling incident. You don’t need to wait until a system breaks to make it better. A great example is the Interactive Voice Response systems (IVR) that are pretty standard in customer ...
How to drive brand awareness and marketing with natural language processing
To grow brand awareness, a successful marketing campaign must be data-driven, using market research ...
From the Data and AI Expert Labs: It’s not whether you adopt AI. It’s when.
You wouldn’t be reading this if you didn’t have the sense that AI is the future. But the breadth...
Using Watson NLU to help address bias in AI sentiment analysis
Previously on the Watson blog’s NLP series, we introduced sentiment analysis, which detects ...
