The algorithm economy
This is also where algorithms come in. A structural model is exactly what you need to be able to run meaningful analysis on a complex business ecosystem. EA models can be analyzed using a whole variety of equational and structural algorithms for KPIs, such as TCO, ROI, compliance, risk, re-use, complexity, and availability.
CIOs -- particularly CIOs of consumer-focused digital businesses -- are also finding that they need to be able to build up and tear down new architectures at pace as business ecosystems evolve. Five-year plans have become two-year plans and are morphing to a system of rolling updates.
Without a forecasting process which imagines and selects the best future business structure according to the priorities set by the business, this rapid change descends quickly into chaos.
The eyes of the team building the enterprise roadmaps that guide this process will need to be trained on a continually-evolving set of future state options. Enterprise Architects will demonstrate -- at speed -- how they can crunch the data, build models, roadmap future states and present the transformation process clearly.
Enterprise Architects will be in demand to engineer and re-engineer the increasingly complex systems that in 2020 deliver power to run your hybrid vehicle (will they be driverless yet?), manage the complexity behind the IoT-connected office and home, and ensure the smooth running of communications, banking, and an increasingly digitally-based health infrastructure.
Job titles might change, but the core "model and analyze" skills required for EA will be in demand. EAs might become Digital Transformation Specialists, Enterprise Change Agents, or Enterprise Options Analysts. And they will reporting to the Chief Digital Officer .
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