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Future of Machine Learning: Ways ML and AI Will Drive Innovation & Change

Customer Think

By 2022, the global ML market is expected to be worth $8.81 It’s not a surprise that Artificial Intelligence (AI) and Machine Learning (ML) are two of the top buzzwords in today’s technological world. But, how will the two technologies create innovation and change in the near future? Did you know??

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To AI or not to AI? The support leader’s dilemma

Intercom

How big is the AI revolution in the customer service space, really? “My advice to other leaders in the space is that if you are not thinking about how to apply AI in your business, it’s a huge missed opportunity” That is a difficult transition for customer service leaders to make, but AI is suddenly making it a reality.

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The Human-Centric Approach

The DiJulius Group

Technological innovations are exploding with the rise of artificial intelligence (AI) and machine learning (ML). As an entrepreneur, like so many, I have become enamored with the potential of what AI can do. And, Read Full Article The post The Human-Centric Approach appeared first on The DiJulius Group.

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Uniphore Collaborates with Cisco to Enable Better Customer Experiences

Uniphore

For Cisco partners, this means they can resell and upsell, bringing additional customer experience innovation and value to their customers. In addition to joining Cisco’s SolutionsPlus Program, the companies continue their work on developing new capabilities in AI, conversational automation, and real-time call and sentiment analysis.

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AI-Enabled WFM Promotes Efficiency and Flexibility

DMG Consulting

AI-Enabled WFM Promotes Efficiency and Flexibility View this article on the publisher’s website. But this is just the start of many innovations being introduced into the WFM market. Machine learning (ML) helps evaluate algorithms to identify the most effective one to apply to each dataset. Like what you’re reading?

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The new dawn of Machine Learning

Intercom, Inc.

Building ML products requires balance – it’s pointless to start with the problem if the solution is unattainable, but you shouldn’t start with the tech if it can’t meet real customer needs. AI has been quite overhyped in the past. ML teams tend to invest a fair share of resources in research that never ships. What’s up?

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Machine Learning Development: A Comprehensive Review of Booktest and Testing Tools

Lumoa

We’re tackling a complex yet crucial topic in machine learning and AI development. Think of this as a casual chat where we unravel the complexities of ML testing, making it digestible for everyone, regardless of their technical background. Because ML systems aren’t just coded; they’re trained. And our goal?