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Governing the ML lifecycle at scale, Part 3: Setting up data governance at scale

AWS Machine Learning

Challenges in data management Traditionally, managing and governing data across multiple systems involved tedious manual processes, custom scripts, and disconnected tools. The diagram shows several accounts and personas as part of the overall infrastructure. The following diagram gives a high-level illustration of the use case.

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Revolutionizing clinical trials with the power of voice and AI

AWS Machine Learning

This step provides an accurate and efficient conversion of spoken words into a format suitable for further analysis. Text preprocessing The transcribed text undergoes preprocessing steps, such as removing identifying information, formatting the data, and enforcing compliance with relevant data privacy regulations.

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Performance Management Bridges the Divide Between Big Data and Big Knowledge

Aspect

An effective PM solution sources data from all contact center systems through standardized integrations and merges the data (so handle times for Agent 1 from the ACD can be tied to interaction quality for Agent 1 from Quality Management, for example).

Big data 102
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Generate financial industry-specific insights using generative AI and in-context fine-tuning

AWS Machine Learning

In this blog post, we demonstrate prompt engineering techniques to generate accurate and relevant analysis of tabular data using industry-specific language. This is done by providing large language models (LLMs) in-context sample data with features and labels in the prompt. Here are some key observations: 1.

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Guest Blog: 5 Ways To Leverage Technology For A Better Customer Experience

ShepHyken

By using social accounts for addressing all kinds of customer queries, companies are expanding their customer experience strategy. . Brands like Starbucks use their parent Twitter account to address complaints and generally talk to customers. Netflix has a dedicated Twitter account called NetflixHelps to respond to customer complaints.

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Digital Transformation in Retail Banks: Potential Impact on Brand Equity, Customers, and Employees

Beyond Philosophy

I’m capitalizing the first letter of each word because the pervasiveness of digital transformation has all the feel of Big Data a few years ago and Reeingineering in the 1990’s. Much of the digital transformation emphasis has been on technology (big data analytics and cloud, mobile apps, etc.)

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Leveraging Big Data to Fine Tune Customer Experiences

Avaya

Whether you realize it or not, big data is at the heart of practically everything we do today. Billboard companies, for example, are now leveraging eye tracking and traffic pattern analysis to gauge interest among drivers. In today’s smart, digital world, big data has opened the floodgates to never-before-seen possibilities.