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Powering the future: How Gen AI and AI illuminate utility companies

CIO Business Intelligence

AI can help by proactively monitoring operations and flagging when an organization is at risk for non-compliance. AI models can also help evaluate risks, and generative AI can offer suggestions for mitigating those risks. In many cases, the data storage systems that utilities have today are not the systems needed to enable AI.

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IBM and ESPN use AI models built with watsonx to transform fantasy football data into insight

IBM Big Data Hub

And this year, ESPN Fantasy Football is using AI models built with watsonx to provide 11 million fantasy managers with a data-rich, AI-infused experience that transcends traditional statistics. These applications are all hosted on the IBM Cloud to ensure uninterrupted availability.

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Examples of IBM assisting insurance companies in implementing generative AI-based solutions  

IBM Big Data Hub

As part of our generative AI initiatives, we can demonstrate the ability to use a foundation model with prompt tuning to review the structured and unstructured data within the insurance documents (data associated with the customer query) and provide tailored recommendations concerning the product, contract or general insurance inquiry.

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New Software Development Initiatives Lead To Second Stage Of Big Data

Smart Data Collective

In this article, we are going to look at how software development can leverage on Big Data. We will also briefly have a sneak preview of the connection between AI and Big Data. Unstructured. Unstructured data lacks a specific format or structure. Data Integration. What is Software Development?

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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

Data science use cases Data science is widely used in industry and government, where it helps drive profits, innovate products and services, improve infrastructure and public systems and more. Healthcare companies are using data science for breast cancer prediction and other uses.

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How to Take Back 40-60% of Your IT Spend by Fixing Your Data

Ontotext

The pathway forward doesn’t require ripping everything out but building a semantic “graph” layer across data to connect the dots and restore context. However, it will take effort to formalize a shared semantic model that can be mapped to data assets, and turn unstructured data into a format that can be mined for insight.

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10 Best Big Data Analytics Tools You Need To Know in 2023

FineReport

This has led to the emergence of the field of Big Data, which refers to the collection, processing, and analysis of vast amounts of data. With the right Big Data Tools and techniques, organizations can leverage Big Data to gain valuable insights that can inform business decisions and drive growth.