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KGF 2023: Bikes To The Moon, Datastrophies, Abstract Art And A Knowledge Graph Forum To Embrace Them All

Ontotext

It enriched their understanding of the full spectrum of knowledge graph business applications and the technology partner ecosystem needed to turn data into a competitive advantage. Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises.

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Huawei unveils four strategic directions for the future of finance

CIO Business Intelligence

Finance is poised to undergo a transformation, as Artificial Intelligence (AI) steps in to make real-time decisions using vast data sets. This vision was outlined by Jason Cao, CEO of Global Digital Finance at Huawei, during Huawei Intelligent Finance Summit 2023. Mr. Cao noted the specific problem of unstructured data. “A

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Building resilient infrastructure: the key to cloud-native, real-time decision-making

CIO Business Intelligence

Finance is poised to undergo a transformation, as Artificial Intelligence (AI) steps in to make real-time decisions using vast data sets. This vision was outlined by Jason Cao, CEO of Global Digital Finance at Huawei, during Huawei Intelligent Finance Summit 2023. Mr. Cao noted the specific problem of unstructured data. “A

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Educating ChatGPT on Data Lakehouse

Cloudera

As the use of ChatGPT becomes more prevalent, I frequently encounter customers and data users citing ChatGPT’s responses in their discussions. I love the enthusiasm surrounding ChatGPT and the eagerness to learn about modern data architectures such as data lakehouses, data meshes, and data fabrics.

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SAP unveils tools to help enterprises build their own gen AI apps

CIO Business Intelligence

SAP’s other big announcement is it’s enhancing HANA Cloud, the database engine that underpins its S/4HANA ERP system and many of its other applications, to support vector storage and search for unstructured data. “It This helps put things close together if they are similar.”

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Migrate an existing data lake to a transactional data lake using Apache Iceberg

AWS Big Data

A data lake is a centralized repository that you can use to store all your structured and unstructured data at any scale. You can store your data as-is, without having to first structure the data and then run different types of analytics for better business insights. On the navigation pane, select Crawlers.

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Petabyte-scale log analytics with Amazon S3, Amazon OpenSearch Service, and Amazon OpenSearch Ingestion

AWS Big Data

At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. With this massive data growth, data proliferation across your data stores, data warehouse, and data lakes can become equally challenging.

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