Workforce of the future: Part 2

Part 2 of an EIU advisory board meeting continues to discuss how companies balance retraining existing employees with hiring new talent and how they can leverage tech skills of a multigenerational workforce.

The future of business: Human resources

Why read this report

  • HR managers must use data to win the "War for Talent" as LinkedIn and other social networking sites change the way employers and prospective employees interact.
  • Some managers are aggregating data from internal sources, social media sites and special interest forums to produce rankings that identify suitable prospects for open positions.
  • Using similar data and analytics, HR managers can also identify key employees who may leave their firms and develop more effective training and mentoring programmes to increase retention.

Automated, creative and dispersed - The future of work in the 21st century

The Future of Work

Interviews and key findings from The Future of Work analysis

On the future of work and how we'll see it differently

At Talent Management 2013, Human capital consultant Naomi Stanford explores the ways in which the core nature of work could change in the future, and the impact this could have on Human Resource management.

The skills agenda: Preparing students for the future

Preview of an Economist Intelligence Unit report, sponsored by Google Education

Our future of abundance—and joblessness

Vivek Wadhwa, Fellow, at Stanford University Law School, explores the impact of technology on employment—and on the future of the human race

Working in the Future

It used to be the case that staff worked the way they were told to by their employers. It was therefore the objectives of the organisation – efficiency, in most cases – that defined the working style of the majority.

Now, though, the way we work is subject to all manner of influences. Organisations that wish to design engaging and productive working environments for their employees must understand those forces, and react accordingly. 

“Unsupervised learning” and the future of analytics

An interview with analyst Seth Grimes on the growing use of machine learning in business intelligence

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