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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.

At Intercom, we have taken advantage of these technologies relatively early. So, modern machine learning opens up vast possibilities – but how do you harness this technology to make an actual customer-facing product? We can’t assume the ML will always perfectly do what we want. The cupcake approach to building bots.

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The new dawn of Machine Learning

Intercom, Inc.

In the past five years, we’ve seen neural network technology really take off into its own. 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.

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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?

NPS 373
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Wootric’s Deepa Subramanian on measuring the voice of the customer

Intercom, Inc.

The customer defines the problem, but it’s on you to do root-cause analysis and solve the problem with your technology. I started in technology at Salesforce – I was their first female engineer and learned early on how valuable it can be to build a company from the perspective of your customer. Paige: Deepa, welcome to the show.

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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.”

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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. There is an implicit agreement that you will take a consumers input seriously and that’s the first step – before technology even.