How to make AI agents better conversationalists: Context is key

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Latest Technology News & Expert Advice     June 20, 2018

Issue Highlights: How to make AI agents better conversationalists: Context is key Machine learning use case to ID unhappy employees Tackling the 'ask me anything' challenge of a conversational interface What's the difference between chatbots and virtual assistants? Optimizing an artificial intelligence architecture: The race is on

How to make AI agents better conversationalists: Context is key IBM's Bob Moore and Raphael Arar are committed to designing AI agents that actually understand -- and retain -- context. The aim? To make AI exchanges more like conversations. Read Now

Machine learning use case to ID unhappy employees Telus International CIO Michael Ringman analyzes the machine learning use case he launched to curb high attrition rates in call centers. Read Now

Tackling the 'ask me anything' challenge of a conversational interface IBM researchers discuss the challenge of designing conversational interfaces where the potential incoming questions are limitless. The solution: narrowing the scope and training end users. Read Now

What's the difference between chatbots and virtual assistants? Forrester's Thomas Husson gives his take on the difference between virtual assistants and chatbots. He says one is closer to a 'dynamic FAQ' and the other is a third-party aggregator. Read Now

Optimizing an artificial intelligence architecture: The race is on As AI architecture improves and costs decrease, experts say enterprise adoption will go up, spurring yet more innovation and benefits for businesses and AI vendors alike. Read Now

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