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

AWS Machine Learning

The combination of large language models (LLMs), including the ease of integration that Amazon Bedrock offers, and a scalable, domain-oriented data infrastructure positions this as an intelligent method of tapping into the abundant information held in various analytics databases and data lakes.

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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. Robust APIs for integration. One reason why is that a cloud contact center offers scalability so that capacity can be easily increased as demands change. Roles and Web-based Dashboards.

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Call Centers Go Mobile to Satisfy Higher Customer Service Expectations

CSM Magazine

Designing mobile hooks, leveraging new APIs to enhance the existing call flow and creating omni-channel content delivery is outside the scope of most call center operations. The Philippine’s BPO sector is the fastest growing industry in the country with 900,000 Filipinos employed full time in 2013 providing an estimated 1.3M

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

NobelBiz

In 2013, the CDP Institute was founded to help educate marketers about the technology and its benefits. Ask about their API integrations API integrations are important when a call center looks for a CDP vendor because they allow businesses to connect their existing systems and tools to the CDP. billion in 2022 to USD 19.7

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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. In entered the Big Data space in 2013 and continues to explore that area. What percentage of customers are from each region?”

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

AWS Machine Learning

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. Also learn how prompts can be integrated with your architecture and how to use API parameters for tuning the model parameters using Amazon Bedrock. Reserve your seat now!

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

AWS Machine Learning

The dataset includes credit card transactions in September 2013 made by European cardholders. He specializes in Machine Learning & Data Analytics with focus on Data and Feature Engineering domain. You should use the SnowSQL client and install it in your local machine, so you can use it to upload the dataset to a Snowflake table.