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The six strategic uses cases for AIOps

IBM Big Data Hub

You can make an immediate impact by making data-driven decisions on application resource allocation. When applications consume only what they need to perform, you can increase utilization, reduce energy costs and carbon emissions, and achieve continuously efficient operations.

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5 Major Cybersecurity Trends to Know for 2024

eSecurity Planet

Before companies can effectively and safely use generative AI tools, employees must be educated on utilizing best practices: writing prompts that achieve desired outcomes, keeping data security and privacy in mind when inputting data, identifying the quality and security of AI, verifying AI output, and more,” elaborates Arti Raman, CEO Portal26. “As

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10 manufacturing trends that are changing the industry

IBM Big Data Hub

enables manufacturers to conduct real-time data collection and analysis for vast amounts of data, providing them valuable insights into their operations. Manufacturers can also integrate robotics with Industrial Internet of Things (IIoT) sensors and big data analytics to create a more flexible and responsive production environment.

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How Content Services Are Enabling the Digital Transformation of Electric Utilities

AIIM

Electric utilities in the United States are a major source of CO2 – they created 1.55 And according to the US Energy Information Agency, consumption is expected to grow by 50% by the year 2050. To get greener, electric utilities must digitally transform. The Slow Transition to Green Energy. Artificial Intelligence.

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Public cloud use cases: 10 ways organizations are leveraging public cloud

IBM Big Data Hub

Multi-tenant hosting allows cloud service providers to maximize utilization of their data centers and infrastructure resources to offer services at much lower costs than a company-owned, on-premises data center. e-commerce flash sales). Most often, only the most relevant data is processed at the edge.

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