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10 ways AI can make IT more productive

CIO

Identify potential issues By analyzing vast amounts of data, AI can identify potential technical and security issues long before they can escalate into system outages. With AI’s lightning-fast processing, you can pinpoint and address problems quickly, reducing the impact on your business.”

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14 in-demand cloud roles companies are hiring for

CIO

For security architects working in a cloud environment, the focus is on designing and implementing security solutions that protect the business’ cloud-based infrastructure, data, and applications. These pros are experts in the cloud and stay on top of the latest innovations in cloud technology to better advise business leaders.

Cloud 195
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Infinidat’s Breakthrough Year of Award Recognition for Enterprise Storage

Infinidat

Infinidat’s Breakthrough Year of Award Recognition for Enterprise Storage. What is so gratifying is that this award-winning momentum came from positive feedback and votes of confidence from enterprise customers, managed service providers, cloud service providers, channel partners, and storage industry analysts and press.

Storage 52
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Data Lifecycle Management for Oracle EBS

Datavail

Storage: Data that is useful long-term needs to be securely stored and backed up on a regular basis. However, this need for secure storage also must be balanced with the ability to easily view, modify, and analyze the data. However, practicing good data lifecycle management for Oracle EBS is a must. Conclusion.

Data 52
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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning - AI

What operational and technical best practices can I integrate into how my organization builds generative AI LLM applications to manage risk and increase confidence in generative AI applications using LLMs? What are some ways to implement security and privacy controls in the development lifecycle for generative AI LLM applications on AWS?

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8 reasons your cloud costs are too high

CIO

Enterprises often purchase cloud resources such as compute instances, storage, or database capacity that arent fully used and, therefore, pay for more service than they actually need, leading to underutilization, he says. Assess whether workloads can be easily moved between vendors or scaled across different platforms, Banthia advises.

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Databricks on Azure versus AWS

Perficient

It heloful in those situations to be able to advise the client on the advantages and disadvantages of one platform over another from a Databricks perspective. The value of this integration is amplified if the client also uses some combination of Azure Data Lake Storage (ADLS), Azure Synapse Analytics, or Power BI.

Azure 64