Remove Cost-Benefit Remove Optimization Remove Publishing Remove Unstructured Data
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SAP unveils tools to help enterprises build their own gen AI apps

CIO Business Intelligence

It will be optimized for development in Java and JavaScript, although it’ll also interoperate with SAP’s proprietary ABAP cloud development model, and will use SAP’s Joule AI assistant as a coding copilot. “We The real benefit may be in the governance capabilities rather than the collaboration.

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Edmunds sets stage for AI with data infrastructure consolidation

CIO Business Intelligence

One of the ways Rokita is looking to stay ahead in the AI landscape is the creation of a new ChatGPT plugin that exposes Edmunds’ unstructured data—vehicle reviews, ratings, editorials—to the generative AI. That change has not only helped bring costs down, Rokita says it’s also made things easier to manage operationally.

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

Ontotext

This is partly because integrating and moving data is not the only problem. The data itself is stored in a way that is not optimal for extracting insight. Unlocking additional value from data requires context, relationships, and structure, none of which are present in the way most organizations store their data today.

IT 69
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Do I Need a Data Catalog?

erwin

For example, before users can effectively and meaningfully engage with robust business intelligence (BI) platforms, they must have a way to ensure that the most relevant, important and valuable data set are included in analysis. Business metadata is sometimes referred to as external metadata attributed to the business aspects of a data asset.

Metadata 132
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Data Visualization and Visual Analytics: Seeing the World of Data

Sisense

Using predictive analytics, organizations can plan for forthcoming scenarios, anticipate new trends, and prepare for them most efficiently and cost-effectively. Predicting forthcoming trends sets the stage for optimizing the benefits your organization takes from them. Using visualizations to make smarter decisions.

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How Cloudera Data Flow Enables Successful Data Mesh Architectures

Cloudera

Within the context of a data mesh architecture, I will present industry settings / use cases where the particular architecture is relevant and highlight the business value that it delivers against business and technology areas. Key Design Principles of a Data Mesh.

Metadata 124
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Build a serverless transactional data lake with Apache Iceberg, Amazon EMR Serverless, and Amazon Athena

AWS Big Data

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats.

Data Lake 102