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Connect the Data Lifecycle: The power of data

Cloudera

While cloud is the vehicle, it’s what sits on it that makes it so valuable — data. Regardless of where it is stored, whether it’s data-at-rest or data-in-motion, it’s how it’s linked together that enables business leaders to derive intelligence from data.

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5G use cases that are transforming the world

IBM Big Data Hub

Like its predecessors, 3G, 4G and 4G LTE, 5G technology uses radio waves for data transmission. Primarily, this is due to its ability to handle large volumes of data generated by complex devices using its networks. As mobile technology has expanded over the years, the amount of data users generate every day has increased exponentially.

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Why CIOs back API governance to avoid tech sprawl

CIO Business Intelligence

Carter Busse, CIO of no-code enabled automation platform company Workato, adds that APIs are now important connective tissue to integrate and interact with large language models (LLMs) within business processes. “If And as reliance on generative AI rises, the number of APIs in use is anticipated to increase accordingly.

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Why advanced API security is critical to outsmarting new threats

IBM Big Data Hub

Among the most prominent new examples is attacks that exploit the growth of application programming interfaces (APIs) , which work to connect applications and systems to facilitate the exchange of data. As organizations continue to expand their digital footprint, new vulnerabilities are constantly emerging that can put them at risk.

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Transform the modern data center: From today to the future

CIO Business Intelligence

A seismic shift is underway in the evolution of the data center, driven by a variety of converging factors. Whether integrating cutting-edge AI capabilities trained on proprietary data or leveraging pre-built functionalities, the ability to optimize and automate workflows becomes effortless with a platform-centric approach.

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Advancing AI: The emergence of a modern information lifecycle

CIO Business Intelligence

Although less complex than the “4 Vs” of big data (velocity, veracity, volume, and variety), orienting to the variety and volume of a challenging puzzle is similar to what CIOs face with information management. Operationalizing data to drive revenue CIOs report that their roles are rising in importance and impact. What’s changed?

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Your Generative AI LLM Needs a Data Journey: A Comprehensive Guide for Data Engineers

DataKitchen

Your LLM Needs a Data Journey: A Comprehensive Guide for Data Engineers The rise of Large Language Models (LLMs) such as GPT-4 marks a transformative era in artificial intelligence, heralding new possibilities and challenges in equal measure. Embedding: The retrieved data is encoded into embeddings that the LLM can interpret.