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As Consumers Tighten Wallets, Marketers Can Tighten Customer Relationships

Optimove

Insight derived can provide an understanding of how each segment of your customer base feels at every stage of the customer experience lifecycle. The VOC program puts customers’ first, and ultimately drives brand, product, and service improvements for a deep fulfilling customer experience. A new era of marketing.

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West Monroe - Untitled Article

West Monroe

Selecting the right combination of decarbonization measures—and having a comprehensive strategy to implement those measures—is critical to successful decarbonization. They are often in a better position to facilitate decreased energy demand, because utility customers are challenged with data ownership and access issues.

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Utility decarbonization strategies: A portfolio-based approach to emission reductions

West Monroe

Selecting the right combination of decarbonization measures—and having a comprehensive strategy to implement those measures—is critical to successful decarbonization. They are often in a better position to facilitate decreased energy demand, because utility customers are challenged with data ownership and access issues.

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The New World Order in Retail: What Does It Mean for Brands?

Stella Connect

Online shopping, omnichannel offerings and technologies, and experiential retail have laid waste to the old “stack ‘em high and let ‘em fly” business model. It’s estimated that between 2009 and 2013, retail foot traffic in the U.S. It’s also worth investing in technology that offers brick-and-mortar shoppers an “endless aisle.”

Retail 40
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Podcast: How Customer Service Has Transformed in the Last 20 Years with Brad Birnbaum

Kustomer

They discuss the transformation and evolution of the customer service experience over the last two decades. Brad started his customer service career by founding eShare Communications. As Chief Technology Officer and Executive Vice President of Product Development, he helped create the first chat tool used for customer support.

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Financial text generation using a domain-adapted fine-tuned large language model in Amazon SageMaker JumpStart

AWS Machine Learning

PPL is a common measure of how well a language model is able to predict the next word in a sequence. In simpler terms, it’s a way to measure how well the model can understand and generate human-like language. On August 21, 2009, the Company filed a Form 10-Q for the quarter ended December 31, 2008.

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Domain-adaptation Fine-tuning of Foundation Models in Amazon SageMaker JumpStart on Financial data

AWS Machine Learning

PPL is a common measure of how well a language model is able to predict the next word in a sequence. In simpler terms, it’s a way to measure how well the model can understand and generate human-like language. On August 21, 2009, the Company filed a Form 10-Q for the quarter ended December 31, 2008.