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Enhancing data backup and recovery with AI and ML

CIO

In todays digital age, the need for reliable data backup and recovery solutions has never been more critical. The role of AI and ML in modern data protection AI and ML transform data backup and recovery by analyzing vast amounts of data to identify patterns and anomalies, enabling proactive threat detection and response.

Backup 88
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11:11 Systems: Empowering enterprises to modernize, protect, and manage their IT assets and data

CIO

11:11 Systems offers a wide array of connectivity services, including wide area networks and other internet access solutions that exceed the demanding requirements that a high-performance multi-cloud environment requires. Justin Giardina, CTO at 11:11 Systems, notes that the company’s dedicated compliance team is also a differentiator.

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From legacy to lakehouse: Centralizing insurance data with Delta Lake

CIO

This raw backup is important if you ever need to trace back and verify the original input. Features like time-travel allow you to review historical data for audits or compliance. It addresses fundamental challenges in data quality, versioning and integration, facilitating the development and deployment of high-performance GenAI models.

Insurance 164
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Deletion Vectors in Delta Live Tables: Identifying and Remediating Compliance Risks

Perficient

This could provide both cost savings and performance improvements. Our Databricks Practice holds FinOps as a core architectural tenet, but sometimes compliance overrules cost savings. With a soft delete, deletion vectors are marked rather than physically removed, which is a performance boost. What Are Deletion Vectors?

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Recovery: The Critical Pillar Most MSPs Overlook

Kaseya

The truth is that while they do provide basic retention policies and trash folders, these native protection features arent designed for comprehensive data restoration, long-term resilience or compliance. Without a robust backup and recovery strategy, these data loss scenarios can cause irreparable damage to your clients businesses.

Backup 66
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How resilient CIOs future-proof to mitigate risks

CIO

CIOs must tie resilience investments to tangible outcomes like data protection, regulatory compliance, and AI readiness. This involves establishing guardrails around AI, performing disaster training exercises, mitigating third-party threats, and more. To respond, CIOs are doubling down on organizational resilience.

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Model customization, RAG, or both: A case study with Amazon Nova

AWS Machine Learning - AI

In this post, we demonstrate how to effectively perform model customization and RAG with Amazon Nova models as a baseline. Fine-tuning is one such technique, which helps in injecting task-specific or domain-specific knowledge for improving model performance.