Remove Data Processing Remove Document Remove Modeling Remove Unstructured Data
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7 Enterprise Applications for Companies Using Cloud Technology

Smart Data Collective

It also allows companies to offload large amounts of data from their networks by hosting it on remote servers anywhere on the globe. Cloud computing allows companies’ multiple servers to store and manage their data in a distributed fashion. Centralized data storage. Multi-cloud computing. Before you go.

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

IBM Big Data Hub

The most common insurance use cases include optimizing processes that require processing large documents and large blocks of text or images. Customer engagement Providing insurance coverage involves working with numerous documents. IBM works with several insurance companies to identify high-value opportunities for using generative AI.

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Should you build or buy generative AI?

CIO Business Intelligence

Whether it’s text, images, video or, more likely, a combination of multiple models and services, taking advantage of generative AI is a ‘when, not if’ question for organizations. But many organizations are limiting use of public tools while they set policies to source and use generative AI models.

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Reflections on the Knowledge Graph Conference 2023

Ontotext

This message resonates with the market positioning of Ontotext as a trusted, stable option for demanding data-centric use cases. During the conference, the organizers hosted a separate track called the Healthcare and Life Sciences Symposium. Knowledge graphs will continue to be essential for AI in the era of ChatGPT and LLM.

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Postgres vs. MongoDB for Storing JSON Data — Which Should You Choose?

Sisense

It also supports hierarchical documentation of data. PostgreSQL is also open-source, but it’s a relational database that is much more concerned with standards compliance and extensibility than with giving you freedom over how you store data. they’re great for handling large volumes of unstructured data, at speed.

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Discover and Explore Data Faster with the CDP DDE Template

Cloudera

DDE also makes it much easier for application developers or data workers to self-service and get started with building insight applications or exploration services based on text or other unstructured data (i.e. data best served through Apache Solr). Stores source documents. What does DDE entail?

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

Ontotext

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. This is the future of modern data and analytics and a critical enabler to getting more value and insight out of your data.

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