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Big Data Boom: How to Capture and Leverage Insights

The Northridge Group

To make it worse, the pace of this information continues to increase; data (lots of it) is being produced more rapidly than ever before. How can you capture this data and use it to help you and your organization make informed decisions, and ideally to predict future behavior and events?

Big data 131
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Revolutionizing clinical trials with the power of voice and AI

AWS Machine Learning

The LLM analyzes the text, identifying key information relevant to the clinical trial, such as patient symptoms, adverse events, medication adherence, and treatment responses. These insights can include: Potential adverse event detection and reporting. Identification of protocol deviations or non-compliance. No problem!

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Guest Post: 5 Unexpected Uses for Customer Data

ShepHyken

Customer data analytics is possible due to the rise of IoT, Big Data, and, of course, AI. Therefore, it’s time to unleash the real power of customer data. Identify Events or Special Occasions. It’s well-known that businesses use Big Data to target customers. With its help, you can: 1.

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Reducing hallucinations in LLM agents with a verified semantic cache using Amazon Bedrock Knowledge Bases

AWS Machine Learning

If the question was Whats the schedule for AWS events in December?, AWS usually announces the dates for their upcoming # re:Invent event around 6-9 months in advance. Previously, Karam developed big-data analytics applications and SOX compliance solutions for Amazons Fintech and Merchant Technologies divisions.

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Gone Virtual: Recap of the CETX Conference

Callminer

With over a thousand registrants, our inaugural CETX and very first digital conference also marked one of our largest events to date. The two-day event – hosted by bestselling author and customer service and experience expert, Shep Hyken – featured dynamic keynote presentations from four of renowned CX experts. The show goes on.

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2 Innovative Technologies Guaranteed to Reduce Your Truck Rolls

TechSee

Truck rolls cost anywhere from $150 – $500 per event, with that amount easily doubling when considering indirect costs. Utilizing both advanced data analytics and innovative AR remote assistance technology yields a highly efficient solution for customer service operations that directly reduces the need for truck rolls.

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How Amp on Amazon used data to increase customer engagement, Part 1: Building a data analytics platform

AWS Machine Learning

However, as a new product in a new space for Amazon, Amp needed more relevant data to inform their decision-making process. Part 1 shows how data was collected and processed using the data and analytics platform, and Part 2 shows how the data was used to create show recommendations using Amazon SageMaker , a fully managed ML service.