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Sprinklr named to IDG Insider Pro and Computerworld’s 2021 list of 100 Best Places to Work in IT

Sprinklr

Employees have the opportunity to work with the core of Sprinklr’s technology — our proprietary AI engine built with sophisticated deep machine learning algorithms. At any given instance, this AI engine processes millions of unstructured and structured data points ingested from myriads of channels and software applications.

CXM 96
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How Agentic AI in Auto Finance Will Shake Up the Industry

Lightico

Below is an illustrative process flow: Data Ingestion : The system uses IDP to gather all relevant documentsloan applications, credit reports, proof of incometurning them into structured data. However, success demands a clear-eyed approach to data governance, regulatory compliance, and change management.

Finance 52
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Conversation Analytics: AI Insights for Customer Interactions

SurveySensum

Recognizes social engineering tactics : Flags manipulative language that indicates fraud attempts. Conversational Analytics can help detect and prevent fraud by analyzing patterns in voice and text interactions to identify suspicious behavior.

AI 52
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It's CDP Time for Marketing Cloud Vendors

Customer Experience Matrix

Data warehouses are largely limited to structured data. Data lakes are not unified or easily accessible to non-technical users. Data Management Platforms are limited to summary data about mostly anonymous individuals. CRM and marketing automation systems don’t easily combine data from external sources.

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Customer Feedback Made Easy: The Ultimate CRM Survey Guide

SurveySensum

Why CRM Surveys Are a Must-Have (Not Just a Nice-to-Have) 74% of CRM users say they unlock better access to customer data, while 64% swear by their power to level up relationship management. Combine both formats for a well-rounded approach – structured data with contextual depth for better decision-making.

CRM 52
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Saffron Technology Organizes Data into Memories

Customer Experience Matrix

Saffron is considerably more flexible than standard semantic engines. Saffron generally relies on external systems to identify entities within source data, classify them into the specified categories, and report their associations to Saffron. Saffron can load structured data as well.

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CDP Myths vs Realities

Customer Experience Matrix

These additional features, such as segmentation, data analysis, predictive models, and message selection, account for most of the variation among CDP systems. Reality: It’s a reasonable simplification to describe a CDP as packaged software that builds a customer-centric Data Warehouse.