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Oracle leverages machine learning to manage, secure enterprise systems

Network World

Oracle is not the first company that comes to mind when you think of enterprise security, but the company announced at its recent OpenWorld conference new products with artificial intelligence (AI) and machine learning capabilities to quickly identify security threats.

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The 5 S’s of cyber resilience: How to rethink enterprise data security and management

CIO Business Intelligence

To bridge this critical gap, IT leaders should focus on the five Ss speed, security, scale, simplicity, and smarts to strengthen their cybersecurity and response capabilities. To address these challenges, organizations need to implement a unified data security and management system that delivers consistent backup and recovery performance.

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ServiceNow to acquire Moveworks to strengthen agentic AI and enterprise search

CIO Business Intelligence

Signaling strategic direction By integrating Moveworks, ServiceNow may aim to enhance its AI assistant capabilities, bridge gaps in workflow automation, and expand its reach across enterprise systems. However, smooth integration does not guarantee seamless execution.

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7 types of tech debt that could cripple your business

CIO Business Intelligence

Accenture reports that the top three sources of technical debt are enterprise applications, AI, and enterprise architecture. These areas are considerable issues, but what about data, security, culture, and addressing areas where past shortcuts are fast becoming todays liabilities?

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CIOs are rethinking how they use public cloud services. Here’s why.

CIO Business Intelligence

The reasons include higher than expected costs, but also performance and latency issues; security, data privacy, and compliance concerns; and regional digital sovereignty regulations that affect where data can be located, transported, and processed. Adding vaults is needed to secure secrets.

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What gives IT leaders pause as they look to integrate agentic AI with legacy infrastructure

CIO Business Intelligence

In addition, because they require access to multiple data sources, there are data integration hurdles and added complexities of ensuring security and compliance. The knowledge management systems are up to date and support API calls, but gen AI models communicate in plain English. The information is pushed to them.

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5 top business use cases for AI agents

CIO Business Intelligence

In a report released in early January, Accenture predicts that AI agents will replace people as the primary users of most enterprise systems by 2030. Mitre had to create its own system, Clancy added, because most of the existing tools use vendor-managed cloud infrastructure for the AI inference part.

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