Digital, data-intensive ways of working will accelerate

Half of our respondents (50%) expect accelerated adoption of data-intensive, digitally oriented processes and work tasks (see Figure 2, page 5).

Data, analytics and machine learning are set to be critical competencies for the successful businesses of the future. The influx of these technologies into enterprise process work will drive an unprecedented expansion in the need for highly skilled labor as organizations meld humans and robots into a cohesive workforce that enhances individual, personal and collective corporate productivity.

Data, analytics and machine learning are set to be critical competencies for the successful businesses of the future.

What it means

New relationships between people and machines will emerge as organizations look to harness the power of both together. The most significant performance improvements will be realized when people and machines are brought together for their complementary strengths – the judgment, teamwork, creativity and social skills of the former, and the speed, scalability and quantitative capabilities of the latter.

Emerging human-to-machine workflows will demand robust people management processes to be developed in tandem, so that workers feel invigorated by these new tools, and secure in their use. Organizations will need to reimagine tasks and restructure teams, ensuring that the current workforce has the hard (job-specific) and soft (communication) skills to thrive. New jobs will emerge that require a fundamental relook at how organizations develop, source and retain talent.

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