Advanced Resilience Practices for the AI Era

Goen Rangaswami, the VP of marketing at Shift, discusses the company’s approach to enhancing data recovery and resilience in the cloud, emphasizing the necessity of recovery as code in modern infrastructure. Goen explains how automated discovery and dependency mapping are crucial for effective recovery, as organizations need to understand their cloud resources for better protection and resilience. He highlights the importance of conducting numerous tests to achieve resilience, and concludes with insights on how companies should actively reassess and enhance their recovery strategies, particularly using technologies like Cloud Rewind.

Not using recovery as code leads to complex manual recovery processes.

Understanding resources through automated discovery enhances recovery capabilities.

AI is crucial for making recovery systems learn continuously.

Cloud providers don't automatically offer recovery systems; proactive measures are needed.

AI Expert Commentary about this Video

AI Governance Expert

From a governance standpoint, the transition to recovery as code signifies a shift in the regulatory landscape for data management. As organizations increasingly rely on AI for their operations, establishing clear guidelines and compliance frameworks around automated recovery processes becomes essential. The complexities involved in AI-driven recovery necessitate robust oversight mechanisms to mitigate risks associated with data integrity and security.

AI Market Analyst Expert

The insights presented by Goen Rangaswami highlight a pivotal trend in the market towards automated recovery systems powered by AI. As organizations shift to cloud solutions, the demand for technologies like Cloud Rewind is expected to rise significantly. Companies that effectively implement these systems are likely to gain a competitive advantage, as rapid recovery and resilience become non-negotiable aspects of successful digital operations.

Key AI Terms Mentioned in this Video

Recovery as Code

It eliminates manual recovery tasks by codifying recovery actions in a cloud environment.

Automated Discovery

This concept is emphasized as essential for understanding system behavior and ensuring proper protection.

Cloud Rewind

It addresses the misconception that cloud systems are inherently resilient without additional tools.

Companies Mentioned in this Video

Shift

Its initiatives are centered around improving resilience and automated recovery strategies.

Mentions: 4

Conval

A company that acquired Pranic, a predecessor of Shift, which indicates a focus on enhancing marketing and technical solutions for cloud recovery.

Mentions: 1

Company Mentioned:

Industry:

Technologies:

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