Accelerating the Enterprise with AIOps

The tsunami of data overwhelming IT operations has exposed a critical flaw in our approach: analyzing more data faster doesn't deliver better business outcomes. Forward-thinking enterprises are pivoting from data-centric to outcomes-driven AIOps strategies—where success is measured not by the insights generated, but by the tangible business results achieved through anticipatory operations.

Implementing post-AI Quantum technologies presents a number of significant challenges, from integration with legacy systems to establishing new governance frameworks for ethical use. However, organizations that successfully navigate this transition gain unprecedented capabilities to anticipate disruptions before they occur, dynamically adapt to emerging threats, and transform operational resilience into competitive advantage. This paradigm shift requires rethinking how we evaluate, deploy, and measure the impact of advanced AI technologies within enterprise environments.

In this session, Dr.-Prof.-Eng. Yogesh Malhotra, Founder, Chairman & CEO of Global Risk Management Network LLC and AWS Quantum Valley™ US Air Force-Pentagon MVP, explores how outcomes-driven AIOps transforms enterprise agility in the post-Quantum-GenAI era.

Key Takeaways:
- Master the transition from data-driven to outcomes-driven AIOps.
- Overcome key implementation challenges for post-AI Quantum technologies.
- Develop more trustworthy AI models through human-centered, meaning-aware approaches.
- Enhance operational resilience through anticipatory rather than merely predictive systems.
- Create a strategic roadmap for measuring outcomes-based success in your AIOps initiatives.