Building a More Secure Tomorrow with Automation and GenAI, using something I call AI-Spanning!
Currently, there is a massive demand for quick and impactful solutions around, utilizing, and deploying GenAI. I believe, that AI Spanning offers a strategic framework for the integration of advanced technologies like GenAI.
AI Spanning not only addresses the imperative for quick solutions but also provides a thoughtful and strategic approach to safely incorporate GenAI. By offering guidance on safety, audit-ability, compliance, and scalability, it equips organizations with the tools to make swift yet well-informed strides in artificial intelligence. It emphasizes the following key components:
Resilient Processes: Automation, when executed at an enterprise level, results in robust and adaptable processes. These processes are designed to withstand minimal disruptions and quickly recover from failures.
Safeguarding Critical Operations: Enterprise automation acts as a protective shield by automating key tasks and orchestrating complex processes. It ensures that critical business operations remain shielded from potential risks and that they run smoothly, even in the face of challenges.
Governance Framework: Enterprise automation establishes a robust governance framework for monitoring and controlling the Autonomous Enterprise. This framework not only ensures operational excellence but also facilitates compliance with regulations, policies, and data security standards.
Transparency and Accountability: Automation and AI provide organizations with unprecedented visibility into their processes. This heightened transparency enables better accountability for actions and outcomes. With clear insights into the processes, organizations can ensure that every action is aligned with their goals.
Testing & Validation of AI Outputs: Enterprise automation is not just about adopting AI but also about rigorous testing and validation procedures. These procedures are in place to ensure that AI outputs align with business objectives and comply with governing standards. This meticulous process serves as a quality assurance mechanism.
Reduced Manual Dependency: Routine and simple tasks are automated using Intelligent Automation (IA) RPA, reducing the need for manual intervention. Meanwhile, enterprise automation efforts, assisted by AI Spanning interactions, can effectively handle complex decision-making processes that require human oversight.
#ai #genai #automation
: The views expressed in this post are my own. The opinions within any of my posts, or articles are not those of my employer or the employers of any contributing experts. this post? Click icon for more!
