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Harnessing the Power of Generative AI in CRM

SugarCRM

In today’s business landscape, it’s hard to find an organization that operates without CRM tools, even in its primitive forms. However, with recent technological advancements, Artificial Intelligence (AI) and Machine Learning (ML) capabilities have become infused in all sorts of tools, and CRMs are no exception.

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CRM Is Dead! Long Live CX!

SugarCRM

I was listening today to one of my favorite industry podcasts called CRM Playaz , hosted by two intelligent dudes, Paul Greenberg and Brent Leary. At the front end of the show, they debated the topic of “is it CRM or CX?” Many in the (legacy) CRM industry have recast the sector as the CX industry. Here’s the gist of the debate.

CRM 49
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Looking Ahead at CRM Trends for 2018

SugarCRM

For many, CRM trends for the New Year seem pointless for three main reasons: long technology development cycles, the industry’s obsession with one or two big ideas over the course of multiple years, and journalists’ penchant for trends that are either too obvious or too outlandish to really drive value. This must change.

CRM 54
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How Can Contact Center AI Change (and Lift) Customer Experience and Engagement?

Ameyo Callversations

The availability of AI-enabled customer relationship management (CRM) and enhanced customer data platform (CDP) software has introduced AI to businesses without incurring high costs associated with the technology. One of the main advantages of AI is understanding emotional intelligence but not getting bothered based on emotions like mundane.

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Applications of AI that will Make You Rethink Your CX Strategy

Ameyo Callversations

Artificial intelligence (AI), also called machine learning, has hugely impacted the digital world. Machine learning can help companies anticipate if a person is likely to click on an ad based on their online behavior and audience segmentation. Machine Learning. This is where artificial intelligence comes in.

AI 52
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Why you should use historical data to automate inquiries

Zendesk

In fact, according to Gartner, by 2022 70% of all customer interactions will involve emerging tools like chatbots , machine learning, and mobile messaging, up from 15% from 2018. The main questions here tend to be: How accurate will the virtual agent be and how will it actually drive customer satisfaction? Data never lies.

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How to Develop and Implement a Customer Experience Strategy

Lumoa

The main responsibility belongs at the very top and in the management team. This means breaking the barriers around IT, CRM, digital marketing, branding, sales, customer service, and e-commerce. Customer Experience Management (CXM) will be guided by artificial intelligence (CI) and simplified through machine learning.