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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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Building Resolution Bot: How to apply machine learning in product development

Intercom, Inc.

This post is based on that talk, and details our journey from early experimentation to release, as well as some valuable lessons we learned about how to implement machine learning (ML) in a real-world product. However, for smaller companies interested in delivering successful ML products, a lean approach can bring a lot of rewards.

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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. ML teams tend to invest a fair share of resources in research that never ships. Do you think teams should have embedded ML engineers?

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Beyond NPS: Why Customer Feedback Needs a 360-Degree Revolution

eglobalis

Customer-Centric Culture : Foster a culture where feedback is valued and acted upon at all levels, promoting continuous improvement and innovation. Can you share examples of how your organization has leveraged AI-driven insights or other innovative technologies to enhance customer satisfaction beyond NPS?

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Customer-Centric Innovation

ClearAction

Customer-Centric Innovation Lynn Hunsaker. My recommendation for innovation research is to focus primarily on the customer’s world, and secondarily on the company’s product, service or process. What defines a customer-centric organization, and why is taking a customer-centric approach increasingly seen as important? Lynn Hunsaker.

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Wootric’s Deepa Subramanian on measuring the voice of the customer

Intercom, Inc.

Here’s a better way for entrepreneurs and company builders to think about the roadmap: innovation is your responsibility, but you don’t innovate in a vacuum. Paige: What advice do you have product teams working on ML? Paige: It was really fun watching the teams here at Intercom build their first ML product.

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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). The Most Critical Element of an Amazing Customer Experience is Being Human-Centric Today, we are living in the “digital disruption era.”