Connected systems, ecosystems, platforms and "things" are evolving so fast that they exceed human capacity and experience to optimally orchestrate a vast set of integration operations. Application leaders responsible for integration need to determine how AI can enable these integration initiatives.
Impacts and Recommendations
- There is rising pressure on integration efforts to connect highly distributed systems and dispersed data as a result of digital initiatives, which now exceed the integration skills, capabilities and tools of most organizations
- New integration demands, driven by digitization, are forcing integration leaders to invest in "smart" processing, which synergies between human and artificial intelligence (AI) can help with
- Early-stage use of machine learning and cognitive computing techniques are finding relevance in helping integration developers and, importantly, less-technical roles such as citizen integrators perform integration tasks to keep pace with digital business transformation
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