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How to Improve Customer Experience in the Insurance Industry

Ecrion

Did you know that the insurance industry in the United States netted $1.22 trillion in 2018? As more insurance companies begin to emerge, customers are beginning to compare quotes from multiple companies now more than ever. Are you interested in learning how to improve customer experience in insurance?

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5 Customer Service Tech Trends to Explore at MWC 2018

TechSee

We’ve narrowed down the 5 key customer service technology trends to watch out for in 2018. customer exhibitors at MWC 2018: Verto Analytics. Verto Analytics offers market research and cross-platform measurement services that give brands, publishers, and researchers a multi-dimensional view of the digital consumer.

Trends 84
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5 Customer Service Tech Trends to Explore at MWC 2018

TechSee

We’ve narrowed down the 5 key customer service technology trends to watch out for in 2018. customer exhibitors at MWC 2018: Verto Analytics. Verto Analytics offers market research and cross-platform measurement services that give brands, publishers, and researchers a multi-dimensional view of the digital consumer.

Trends 84
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Train self-supervised vision transformers on overhead imagery with Amazon SageMaker

AWS Machine Learning

Satellite and aerial images provide insight into a wide range of problems, including precision agriculture, insurance risk assessment, urban development, and disaster response. The images document the land cover, or physical surface features, of ten European countries between June 2017 and May 2018. tif" --include "_B03.tif"

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Understanding your customers to transform CX

Eptica

Date: Wednesday, January 24, 2018 Understanding your customers to transform CX. Published on: January 24, 2018. In a complex, multi-channel world, the number of potential issues in the customer journey have multiplied, meaning that brands have to prioritize where they spend budgets in order to deliver the greatest positive impact.

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Top 150 Global Customer Experience Thought Leaders and Influencers of 2020

SurveySensum

Multi-Award Winner, Nandkishor Tripathi is a Market Research Operations and CX Methodology Specialist with over 16 years of proven track record in delivering customer experience at the highest levels. in 2018 where his passion for delivering CX strategies for organizations was seeded in Mystery Shopping and Customer Satisfaction research.

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Deploy large models on Amazon SageMaker using DJLServing and DeepSpeed model parallel inference

AWS Machine Learning

In 2018, BERT-large entered the scene and, with its 340 million parameters and novel transformer architecture, set the standard on NLP task accuracy. It allows you to efficiently serve large models by adapting to the best parallelism strategies for multi-GPU inference, accounting for both inference latency and cost.