Bridging the Gap -
Elevating Your
Automation COE with
GenAI
In today’s rapidly changing environment where Artificial Intelligence (AI) is quickly becoming a critical technology, traditional COEs may no longer be enough. Indeed, in their present state, traditional Automation COEs have turned inadequate for enterprises looking to benefit from the rising wave of promising GenAI opportunities. This means that organizations must look beyond their existing capabilities and reorient their focus and resources to adopt the new.
- Enterprise can expand an existing Automation COE into GenAI territory by emphasizing five critical aspects.
- To achieve optimal feasibility of the integration, organizations must re-strategize Evaluation, Model Deployment, Governance, Model Management, and Talent.
- The existing frameworks of established Automation COEs must be re-evaluated and re-defined to augment the new generation of automation led by GenAI.
- Adequate attention should be given to good data management practices and an expanded governance structure to bridge the existing gaps.
Organizations must focus on the five pillars of cyber security to warrant an effective & tangible pathway to data efficiency and compliance.
The five pillars must be identified as Confidentialy, Integrity, Availability, Authenticity, and Non-Repudiation.
Enterprises can integrate GenAI as a crucial transformative factor in their security strategy.
GenAI can help elevate process optimization as well as contribute to overall efficiency.
In the context of security and compliance, GenAI can reduce risks pertaining to penalties and other security issues.