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Build a news recommender application with Amazon Personalize

AWS Machine Learning

Delivering personalized news and experiences to readers can help solve this problem, and create more engaging experiences. However, delivering truly personalized recommendations presents several key challenges: Capturing diverse user interests – News can span many topics and even within specific topics, readers can have varied interests.

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Measure the Business Impact of Amazon Personalize Recommendations

AWS Machine Learning

We’re excited to announce that Amazon Personalize now lets you measure how your personalized recommendations can help you achieve your business goals. All customers want to track the metric that is most important for their business. All customers want to track the metric that is most important for their business.

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Bridging the Gap: How Personalized Experiences Drive Customer Loyalty

CSM Magazine

This shift has placed personalization at the forefront of successful business strategies, transforming how companies interact with their customers across every touchpoint. The Power of Personalization in Marketing Gone are the days of one-size-fits-all marketing approaches.

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New KPI Metrics in the Era of Self Service

TechSee

When more enquiries are handled by AI-assisted agents – for example with best-next-step recommendations – are traditionally measured agent performance metrics still accurate? Customer care center metrics in the era of self-service clearly require a different approach. New Self Service KPI Metrics. Call Deflection Rate.

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How Customer Success Can Use Metrics to Better Engage Investors and Boards

ChurnZero

Customer Success Metrics that Your Investors and Board Care About. Given this backdrop, it’s easy to ascribe this insecurity with and disconnection from investors to personal flaws and incompetence or inherent incompatibility – when what these differences really come down to is communication styles. Board meetings.

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How LotteON built a personalized recommendation system using Amazon SageMaker and MLOps

AWS Machine Learning

LotteON aims to be a platform that not only sells products, but also provides a personalized recommendation experience tailored to your preferred lifestyle. Recommendation model using NCF NCF is an algorithm based on a paper presented at the International World Wide Web Conference in 2017.

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How One Person Can Dramatically Impact Your Workforce Management Plan

Playvox

And, we have all seen the impact of just one person doing something NOT in the plan and the downstream effects. For example, one person may log in late for their opening shift. Another person may not adhere to scheduled breaks or lunches. One person may leave early from their closing shift. What was the effect on service?