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Reflections on the Knowledge Graph Conference 2023

Ontotext

The event attracts individuals interested in graph technology, machine learning and natural language processes in numerous verticals, including publishing, government, financial services, manufacturing and retail. This message resonates with the market positioning of Ontotext as a trusted, stable option for demanding data-centric use cases.

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New Software Development Initiatives Lead To Second Stage Of Big Data

Smart Data Collective

A number of factors are driving growth in big data. Demand for big data is part of the reason for the growth, but the fact that big data technology is evolving is another. New software is making big data more viable than ever. Unstructured. Unstructured data lacks a specific format or structure.

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

Ontotext

However, in the race to become data-driven, most efforts have resulted in a tangled web of data integrations and reconciliations across a sea of data silos that add up to between 40% – 60% of an enterprise’s annual technology spend. We call this the “ Bad Data Tax ”.

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Quantitative and Qualitative Data: A Vital Combination

Sisense

Most commonly, we think of data as numbers that show information such as sales figures, marketing data, payroll totals, financial statistics, and other data that can be counted and measured objectively. This is quantitative data. It’s “hard,” structured data that answers questions such as “how many?”

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The new challenges of scale: What it takes to go from PB to EB data scale

CIO Business Intelligence

When it comes to true economies of scale, a centralized approach to technology via a single platform often outperforms a series of tools. Enterprises can handle much higher data volumes on a unified platform spanning multiple use cases with the scalability to handle the storage and processing of large volumes of data – far beyond petabytes.

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The Data Behind Tokyo 2020: The Evolution of the Olympic Games

Sisense

Not only does it support the successful planning and delivery of each edition of the Games, but it also helps each successive OCOG to develop its own vision, to understand how a host city and its citizens can benefit from the long-lasting impact and legacy of the Games, and to manage the opportunities and risks created.

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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. need to integrate multiple “point solutions” used in a data ecosystem) and organization reasons (e.g.,

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