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3 key digital transformation priorities for 2024

CIO Business Intelligence

After all, every department is pressured to drive efficiencies and is clamoring for automation, data capabilities, and improvements in employee experiences, some of which could be addressed with generative AI. Meanwhile, CIOs must still reduce technical debt, modernize applications, and get cloud costs under control.

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Is Your Data Management Infrastructure Modern Enough for IoT?

Hurwitz & Associates

Both businesses and consumers can and will reap significant benefits from what IoT has to offer. IoT is supported by a variety of technologies – computer systems, networks, end user devices, software – but at the heart of IoT is the collection, storage, processing, and analysis of data.

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10 Best Big Data Analytics Tools You Need To Know in 2023

FineReport

A company’s ability to collect and handle big data effectively is directly related to its growth rate, as big data offers numerous advantages that cannot be ignored. Market Insight : Analyzing big data can help businesses understand market demand and customer behavior. Another key benefit of FineReport is its flexibility.

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Ontotext’s Semantic Approach Towards LLM, Better Data and Content Management: An Interview with Doug Kimball and Atanas Kiryakov

Ontotext

This is the case with the so-called intelligent data processing (IDP), which uses a previous generation of machine learning. LLMs do most of this better and with lower cost of customization. Master data management (MDM), on the other hand, is focused on ensuring data quality and consistency across different systems and applications.

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What Is Data Modernization? 5 Benefits Worth Knowing

Alation

What Is Data Modernization? Data modernization is the process of transferring data to modern cloud-based databases from outdated or siloed legacy databases, including structured and unstructured data. In that sense, data modernization is synonymous with cloud migration. Data Pipeline Automation.