Remove Data Lake Remove Document Remove Knowledge Discovery
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4 ways generative AI addresses manufacturing challenges

IBM Big Data Hub

For example, as manufacturers, we create a knowledge base, but no one can find anything without spending hours searching and browsing through the contents. Or we create a data lake, which quickly degenerates to a data swamp. Or we keep adding applications, so our technical debt continues to increase.

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Enrich your serverless data lake with Amazon Bedrock

AWS Big Data

Organizations are collecting and storing vast amounts of structured and unstructured data like reports, whitepapers, and research documents. By consolidating this information, analysts can discover and integrate data from across the organization, creating valuable data products based on a unified dataset.

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Top Graph Use Cases and Enterprise Applications (with Real World Examples)

Ontotext

Graphs boost knowledge discovery and efficient data-driven analytics to understand a company’s relationship with customers and personalize marketing, products, and services. However, this information is typically stored in disparate locations, often hidden within departmental documents or applications.

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Accelerating model velocity through Snowflake Java UDF integration

Domino Data Lab

At a certain point, as the demand keeps growing, the data volumes rapidly increase. Data is no longer stored in CSV files, but in a dedicated, purpose built data lake / data warehouse. The challenges surface once the company hits the scalability wall. About Domino.

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Considerations to Creating a Graph Center of Excellence: 5 Elements to Ensure Success

Ontotext

As a result, contextualized information and graph technologies are gaining in popularity among analysts and businesses due to their ability to positively affect knowledge discovery and decision-making processes. But until they connect the dots across their data, they will never be able to truly leverage their information assets.