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7 Knowledge Management Best Practices That Drive Great Customer Service

Uniphore

According to Gartner, customer service leaders should focus on these seven knowledge management best practices for improved customer service. Search Engine Optimization While improving the agent experience is paramount to customer service success, it’s not the only area to focus on.

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How to Improve Digital Customer Experience in Banking

REVE Chat Blog

In this digital age, the banks and financial institutions need to be digitally transformed to deliver a consistent customer experience in banking whether it is online or retail. Banks functioning digitally have witnessed reduced costs and streamlined processes. What is customer experience (CX) in Banking? .

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Contact Center Security: Anomaly Detection and Fraud Prevention Best Practices

pindrop

Fraudsters stalk contact center IVRs using them as search engines for your CRM to validate customer data. They then use that validated customer data to social engineer your agents or commit fraud across other channels. Social Engineering in Contact Centers. Social Engineering in Contact Centers. They start in your IVR.

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Americas FSI Digital Commentary: 3 Ways to Accelerate Digital Strategy in 2023

Cisco - Contact Center

As a change agent serving the financial services industry for over 20 years, it is a great privilege to collaborate with Bank, Insurance, and Wealth Management institutions to devise and execute digital transformation strategy, solve complex business problems, and leverage technology to strengthen business results.

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Build and train ML models using a data mesh architecture on AWS: Part 1

AWS Machine Learning

Large enterprises sometimes set up a center of excellence (CoE) to tackle the needs of different lines of business (LoBs) with innovative analytics and ML projects. To generate high-quality and performant ML models at scale, they need to do the following: Provide an easy way to access relevant data to their analytics and ML CoE.

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Stratifyd & QA Part I: Meet Clay Raynor

Stratifyd

Since our founding in 2015, Stratifyd has built a solid team of dedicated QA professionals, including Lead Quality Assurance Engineer, Clay Raynor. Raynor has more than seven years of experience in the engineering and software development industries.

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Philips accelerates development of AI-enabled healthcare solutions with an MLOps platform built on Amazon SageMaker

AWS Machine Learning

With SageMaker MLOps tools, teams can easily train, test, troubleshoot, deploy, and govern ML models at scale to boost productivity of data scientists and ML engineers while maintaining model performance in production. Maintainability – The platform’s architecture and code base should be well organized, modular, and maintainable.