Remove CRM Remove Machine Learning Remove Unstructured Data
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Tray.io’s VP of Marketing Alex Ortiz on embracing the era of automation

Intercom, Inc.

Here we are in 2020 with much better data collection than we’ve ever had. There needs to be a new way to organize that behavior data (that’s largely click data), and marry it together with the qualitative data that might be sitting in your CRM or other tools. Alex contends that anyone can do the same.

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Building a better Social Suite: 12 features that fuel your enterprise-wide social media strategy

Sprinklr

Monitor and analyze results with visual insights that help you aggregate millions of data points in one place. Surface actionable insights across billions of data-points by using industry-leading AI for unstructured data. Learn more about Sprinklr Unified Care. Brands are awash in an ocean of unstructured data.

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3 ways to provide an AI customer experience

Zendesk

Artificial intelligence (AI) customer experience uses technology—such as machine learning, chatbots, and conversational UX—to make every touchpoint as efficient and hassle-free as possible. Your team can immediately get to work on updating your current help center article about the integration so new users can learn how to set it up.

AI 97
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Smashing the Data Silos with SugarCRM

SugarCRM

But Sugar’s tools go one step further, analyzing and interpreting the data that’s available to you and making predictions about it so you can decide your company’s next course of action. Well, consider that ( according to Dun & Bradstreet ) 91% of CRM data is incomplete and 70% is irrelevant after a year.

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Conquering Uncertainty: How Intelligent Document Processing (IDP) Empowers Your Credit Analysts

Lightico

Enhanced Efficiency – Freeing Up Time for High-Value Analysis IDP automates the tedious, “Stare & Compare” – manual process of data extraction from documents like income stubs, pay slips, and bank statements compared to submitted applications/CRM data and reporting agency data.

Finance 75
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The Future of Customer Experience: Embracing AI, Predictive Analytics

SurveySensum

We are so used to Netflix’s recommendations, the tailored playlist of Spotify, shopping recommendations of Amazon, etc, so much so that according to McKinsey 35% of Amazon and 75% of Netflix recommendations are provided by machine learning algorithms.

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Customer Experience Trends In Banking Industry That Are Shaping The Future

SurveySensum

Credit risk assessment : AI improves credit risk management by evaluating the creditworthiness of customers by not only assessing traditional data but also alternative data like spending patterns, social media activities, and geolocation. Personalization But With A Twist Of AI Every CX strategy includes personalization.