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4 Ways Banks Can Hyper-Personalize Customer Experiences at Scale

SharpenCX

Banks and credit unions are no exception here. Banks have long been struggling to keep up with digital customer experience expectations. In a world where digital trends and mobile apps are the norm, many banks are still playing catch up. It’s time for banks to take their customer experience to the next level.

Banking 76
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Best Software for Speech Analytics

JustCall

Speech analytics software analyses live or recorded calls and interpret emotional indicators. Speech analytics software uses artificial intelligence to analyze spoken language similar to voice recognition software. What is Speech analytics? Significance of Speech Analytics. Some Best Speech Analytics Software.

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An Ultimate Speech Analytics Guide to Improve Sales and Customer Service

JustCall

Speech analytics is one such technology that allows companies to increase their sales by tailoring their interactions with prospects and enhancing sales pitches. So, if you are yet to integrate speech analytics into your system, it is high time to do so. What is Speech Analytics? The term “speech analytics” is self-explanatory.

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How New York-Based B2B Market Research Companies are Helping Firms Navigate a Post-Pandemic Market

CSM Magazine

These firms are combining market research data, technology, and analytics from industry leaders to acquire the insights required for success in a turbulent climate. Post-Pandemic Market B2B market research organisations in New York offer customised services to assist businesses in making educated decisions.

B2B 52
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Amazon SageMaker Feature Store now supports cross-account sharing, discovery, and access

AWS Machine Learning

For example, the analytics team may curate features like customer profile, transaction history, and product catalogs in a central management account. Their task is to construct and oversee efficient data pipelines. Drawing data from source systems, they mold raw data attributes into discernable features. Take “age” for instance.

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Secondary Effects of Churn: Part 2 of 2

Education Services Group

I previously worked for a company that sold commercial and industrial construction analytical reports and planning capabilities to large corporations and contractors. Fast forward five years when Company ABC has completed their construction project, and they don’t need us anymore.

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FMOps/LLMOps: Operationalize generative AI and differences with MLOps

AWS Machine Learning

These teams are as follows: Advanced analytics team (data lake and data mesh) – Data engineers are responsible for preparing and ingesting data from multiple sources, building ETL (extract, transform, and load) pipelines to curate and catalog the data, and prepare the necessary historical data for the ML use cases.