Subscribe / Unsubscribe Enewsletters | Login | Register

Pencil Banner

People and machines collaborate in the "workforce re-imagined"

Sam Liew, Managing Director and ASEAN Technology Lead at Accenture | Aug. 7, 2015
Forward-looking organisations are building blended workforces to fill the gaps in critical skill areas such as IT, cybersecurity and analysis of huge datasets.

Companies will need to "democratise" technology, finding ways to categorise and shift skill sets so that employees can approach tasks that were previously reserved for specialists. By doing so, companies will expand their available talent pool.

Companies will also have to answer to new questions like:

  • Which jobs should be assigned to humans and which to humans working with machines?
  • What governance systems are in place to aid the decision-making process?
  • How do we deliberately and strategically decentralise decision-making so that machines can carry more of the load?
  • What training is required for the human workforce in this new blended work environment?
  • What are the new criteria and skill-sets for human talent — should we emphasise more or less specialised knowledge?

For business and IT leaders, however, the biggest question may be how to recognise and respond to the fact that the entire value chain of business operations is shifting from a labour-driven and technology-enabled paradigm to a digital-driven and human-enabled model.

In addition, companies will need to prioritise training of their blended workforce, paying close attention to what is needed to upgrade skills for the tasks that humans do well, and identifying the skills that are complementary to machines.

Human and machine, each on its own, will not be enough to drive business growth in the decades to come. Tomorrow's leading enterprises will be those that reimagine their workforce and effectively blend humans and technology as partners.

This is the fifth of a five-part series that explores the key global technology trends as reported in Accenture's Technology Vision 2015 research.
Go to
Part 1 | Part 2 | Part 3 | Part 4.

 

Previous Page  1  2 

Sign up for CIO Asia eNewsletters.