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Data Modeling 101: OLTP data modeling, design, and normalization for the cloud

erwin

How to create a solid foundation for data modeling of OLTP systems. As you undertake a cloud database migration , a best practice is to perform data modeling as the foundation for well-designed OLTP databases. This makes mastering basic data modeling techniques and avoiding common pitfalls imperative. Data modeling basics.

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Interview with: Sankar Narayanan, Chief Practice Officer at Fractal Analytics

Corinium

I am the Chief Practice Officer for Insurance, Healthcare, and Hi-Tech verticals at Fractal. The Insurance practice is currently engaged with several top 10 P&C insurers in the US, across the Insurance value chain through AI, Engineering, Design & Behavioural Sciences programs.

Insurance 250
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Harmonize data using AWS Glue and AWS Lake Formation FindMatches ML to build a customer 360 view

AWS Big Data

We use Amazon Neptune to visualize the customer data before and after the merge and harmonization. Overview of solution In this post, we go through the various steps to apply ML-based fuzzy matching to harmonize customer data across two different datasets for auto and property insurance.

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Operational ML/AI

Decision Management Solutions

Operational AI generally makes a high-volume transaction or interaction a little more precise, a little more automated. If you are already focusing on operational decision making – building decision models or implementing business rules or both – then you can immediately identify ML/AI opportunities.

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Micro transformation: Driving big business benefit through quick IT wins

CIO Business Intelligence

IT worked with the hospital’s clinic operations group to build “EmmiJourneys,’’ a series of automated scripts that were a blend of engaging and educational content in the form of interactive voice response calls and multimedia videos targeting patients based on their needs. That means if a class can be online, students want that option.

IT 98
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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

While these large language model (LLM) technologies might seem like it sometimes, it’s important to understand that they are not the thinking machines promised by science fiction. Most experts categorize it as a powerful, but narrow AI model. A key trend is the adoption of multiple models in production.

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How to get powerful and actionable insights from any and all of your data, without delay

Cloudera

By enabling their event analysts to monitor and analyze events in real time, as well as directly in their data visualization tool, and also rate and give feedback to the system interactively, they increased their data to insight productivity by a factor of 10. . Our solution: Cloudera Data Visualization.