Articles
Metadata should not be treated as an afterthought or a cost to be avoided, but rather as the playbook for new opportunities.
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Designed well, conversational AI delivers seamless customer experiences. Designed poorly, conversational AI can result in frustrated customers.
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Expect two main areas — the impact of AI on our back-end data processing capabilities and the impact of no-code development on UX — to move to the fore.
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The diverse use cases for AI raise ethical and moral questions about how technology is used in a fair and just manner.
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While many organizations are rushing to deploy artificial intelligence, there are no guarantees that doing so will help your business. Here's why.
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Chatbots may be all the rage, but you need some solid metrics around your programs to ensure success.
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Nicholas McQuire puts AI in context, in terms of what to expect from vendors and how businesses are using it. Learn more about Nick in this profile.
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Recent data from the Martech 2030 report highlights what will be one of marketers' biggest challenges in 2020, data distillation and activation.
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Above all, the past five years of digital transformation have taught us the importance of agility as businesses struggle to keep pace with change.
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NLP is being touted as the hottest area of artificial intelligence and a new generation of transformer language models are unlocking new NLP use-cases.
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There's no 'one size fits all' approach to AI, but here's a look at four major types and how they can help deliver business impact.
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For AI and machine learning to truly support and improve customer service, we must feed them good quality data.
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It’s time for marketers to show consumers that rather than being an obstacle, AI is a touchpoint in a frictionless end-to-end experience.
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Dave Bukovinsky of CSG discusses the emergence of CX platforms and the impact of AI and chatbots on customer experience in our latest DX Leader interview.
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