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The moment of reckoning is here. The onset of the global pandemic forced digital transformation into hyperdrive. Specifically RPA implementations became Intelligent Automaton endeavors which progressed for some time before change management got added to the conversation. Cost reduction brought by technology simply wasn’t enough. But worse- it didn’t scale.
Simple rules based automation implemented without an understanding of the process was a stumbling block. But uninvestigated cross-organizational end-to-end processes were an impassable wall to scalable intelligent automation.
24 months later, the key for global corporate enterprise remains to benefit from the collective intelligence presented by RPA and cognitive technologies along with human workers. Only by having human talent combine robotic process automation with cognitive technologies can global corporate enterprise achieve scalable intelligent automation. And only with scalable intelligent automation comes enterprise resiliency.
Leading edge companies are realizing that in order for IA to deliver transformational results, these tools must be part of a broader, enterprise-wide digital transformation strategy. Rather than iterative experimentation of intelligent solutions, the idea is to go from vision to scale. The first step? Outlining what you want automation to achieve.
The Scalable Intelligent Automation APAC, June 7, will focus on the goal of scalable IA- not only to ensure that tools can handle spikes in workload and expand scope of usage- but establish one, enterprise-wide approach to implementing, leveraging and capturing value from automation.
✔ Transformation Through Scaled IA
✔ Operationalizing IA
✔ Orchestrating Enterprise Intelligence
✔ Mastering Five Key Aspects Of Change
✔ Realizing IA Value
✔ Targeting Global End-To-End Process Optimization
✔ Scaling IA Enterprise-Wide
Participation from cross-industry enterprise change agents
Scalable IA wins from around the world
Key insights on setting the roadmap for digital transformation success
Revealing of battle scars from what has not worked when scaling IA at global corporate enterprise