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Accelerating generative AI requires the right storage

CIO

Generative AI “fuel” and the right “fuel tank” Enterprises are in their own race, hastening to embrace generative AI ( another CIO.com article talks more about this). In generative AI, data is the fuel, storage is the fuel tank and compute is the engine. The World Economic Forum estimates 75% of companies will adopt AI by 2027.

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The Importance of Security and Compliance in Enterprise Applications

OTS Solutions

However, as more organizations rely on these applications, the need for enterprise application security and compliance measures is becoming increasingly important. Breaches in security or compliance can result in legal liabilities, reputation damage, and financial losses.

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The Importance of Security and Compliance in Enterprise Applications

OTS Solutions

However, as more organizations rely on these applications, the need for enterprise application security and compliance measures is becoming increasingly important. Breaches in security or compliance can result in legal liabilities, reputation damage, and financial losses.

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Should finance organizations bank on Generative AI?

CIO

A lesser-known challenge is the need for the right storage infrastructure, a must-have enabler. To effectively deploy generative AI (and AI), organizations must adopt new storage capabilities that are different than the status quo. With the right storage, organizations can accelerate generative AI (discussed in more detail here ).

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Apache Ozone – A Multi-Protocol Aware Storage System

Cloudera

Navigating this intricate maze of data can be challenging, and that’s why Apache Ozone has become a popular, cloud-native storage solution that spans any data use case with the performance needed for today’s data architectures. One of these two layouts should be used for all new storage needs.

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Powering the future: How Gen AI and AI illuminate utility companies

CIO

Achieving regulatory compliance Many governments are responding to climate change by passing new laws aimed at reducing carbon emissions. AI can help by proactively monitoring operations and flagging when an organization is at risk for non-compliance. Without the right storage, AI processing can come to a halt.

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Pre-Deployment Policy Compliance

Abhishek Tiwari

However, amidst the drive for speed, ensuring policy compliance is often overlooked, leading to potential security vulnerabilities and compliance risks. Pre-deployment policy compliance, supported by policy as code frameworks such as Sentinel, Open Policy Agent (OPA), Conftest, etc.