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Automation is everywhere. The word “automation” may make you think of a factory floor with cost-efficient robotic assembly or e-commerce companies with sophisticated operations for massive fulfillment centers.
Essential in enterprise IT environments since the 1970s, when it was developed to manage batch processing, WLA has now transformed into a solution to orchestrate complex business and IT processes through the diverse ecosystems that define today’s hybrid IT environments. The integrity of any AI system depends on the quality of this foundational data. The term “garbage in, garbage out” applies directly to ML and AI; poor training data will quickly make itself known when AI responds with “hallucinations,” presenting incorrect or misleading data as fact.
Transforming strategy and new ideas into business outcomes requires the ability to create and manage automated processes—preferably at speed and scale—to gain and maintain competitive advantage.
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