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Reinventing the data experience: Use generative AI and modern data architecture to unlock insights

AWS Machine Learning

The latest offering for generative AI from AWS is Amazon Bedrock , which is a fully managed service and the easiest way to build and scale generative AI applications with foundation models. This implementation aims to enhance the productivity of the enterprise’s business analytics, product owners, and business domain experts.

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The Rise of Contact Center as a Service (CCaaS)

Noble Systems

According to an Aberdeen trend analysis, the adoption of cloud technologies rose each year between 2013 and 2018. Advanced Analytics. Comprehensive Inbound and Proactive Outbound Management. Robust APIs for integration. Roles and Web-based Dashboards. Omnichannel Capabilities. Workforce Engagement ( WEM).

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Call Centers Go Mobile to Satisfy Higher Customer Service Expectations

CSM Magazine

When technology was deployed, it was predominately committed to optimizing the BPO infrastructure and managing “bums in seats” BPO suppliers focused on solutions that could mitigate operational costs and driving process efficiency. In 2015, BPO needs to move beyond managing call center bodies.

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How to Evaluate Call Center Software Vendors for Customer Data Platform Solutions

NobelBiz

Are you looking to optimize your call center’s efficiency and streamline your business’s data management process? Managing customer data is nothing new. In 2013, the CDP Institute was founded to help educate marketers about the technology and its benefits. Since then, the CDP market has grown rapidly.

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Your guide to generative AI and ML at AWS re:Invent 2023

AWS Machine Learning

First, we’ll have a few foundational sessions related to various aspects of Amazon Bedrock —a fully managed generative AI service we launched earlier this year. Learn how to utilize your datasets using Amazon SageMaker and Amazon Bedrock as well as popular frameworks like PyTorch with AWS compute, storage, and analytics.

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Generating value from enterprise data: Best practices for Text2SQL and generative AI

AWS Machine Learning

Today, a large amount of data is available in traditional data analytics, data warehousing, and databases, which may be not easy to query or understand for the majority of organization members. Randy has held a variety of positions in the technology space, ranging from software engineering to product management.

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Accelerate time to business insights with the Amazon SageMaker Data Wrangler direct connection to Snowflake

AWS Machine Learning

This includes provisioning Amazon Simple Storage Service (Amazon S3) buckets, AWS Identity and Access Management (IAM) access permissions, Snowflake storage integration for individual users, and an ongoing mechanism to manage or clean up data copies in Amazon S3. Basic knowledge of Python, Jupyter notebooks, and ML.