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

Ontotext

Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. Several factors are driving the adoption of knowledge graphs. Yet, the biggest challenge for risk analysis continues to suffer from lack of a scalable way of understanding how data is interrelated.

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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. Connecting to Snowflake from Domino. About Domino.