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Enhancing Enterprise Software Capabilities with AI and Machine Learning

Customer Think

For all living memory, enterprise software has been the engine that powers modern business. Both Artificial intelligence (AI) and machine learning (ML) are losing their futuristic status to becoming an essential part of […] Nonetheless, the enterprise software landscape is changing significantly.

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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 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?

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How AI and Omnichannel Support Elevate Customer Service in Call Center

Hodusoft

How AI and Omnichannel Support Elevate Customer Service in Call Center “Just as electricity transformed almost everything 100 years ago, today I actually have a hard time thinking of an industry that I don’t think Al (Artificial Intelligence) will transform in the next several years.”

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How much historical data is needed for AI to improve forecast accuracy in workforce management?

DMG Consulting

Question: I have heard about artificial intelligence (AI) being used in workforce management (WFM) solutions. How much historical data is needed for AI to improve forecast accuracy? AI-enabled WFM solutions leverage machine learning (ML), an AI technology that is effective at finding patterns.

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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. Artificial intelligence (AI), automation, and the need for new capabilities to address asynchronous and digital interactions are driving a welcome transformation of these solutions. Like what you’re reading?

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