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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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What Do The Pioneers of Customer Experience See for the Future: And What Should You Do About It?

Beyond Philosophy

It appeals to me because it uses a data-driven approach. Customer Science is a product of a perfect storm of artificial intelligence, the information provided by Big Data, and the interpretation of that data through Behavioral Science. appeared first on CX Consulting. Follow Colin Shaw on Twitter @ColinShaw_CX.

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Where Is Gamification Going? Some ‘New Rules’; Or, Stated Another Way….

Beyond Philosophy

However, like the hype around big data, enthusiasm for gamification has somewhat plateaued, and has needed to be rethought, especially regarding how it can drive more brand bonding and positive financial results. This gave gaming something of a Philosopher’s Stone, or magic wand, aura.

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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. Without # being able to consult the Knowledge Base, I cannot provide details on any # particular new Bedrock Agent features at this time.

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Run machine learning enablement events at scale using AWS DeepRacer multi-user account mode

AWS Machine Learning

This post shows how companies can introduce hundreds of employees to ML concepts by easily running AWS DeepRacer events at scale. Run AWS DeepRacer events at scale. Our post-event statistics indicate that up to 75% of all participants to DeepRacer events are new to AI/ML and 50% are new to AWS.”.

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Bundesliga Match Fact Win Probability: Quantifying the effect of in-game events on winning chances using machine learning on AWS

AWS Machine Learning

But what are the events that led to these surprising in-game swings of win probability? Win Probability consumes event data from an ongoing match (goal events, fouls, red cards, and more) as well as data produced by other Match Facts, such as xGoals. Tareq Haschemi is a consultant within AWS Professional Services.