The 2019 MIT SMR and BCG Global Research Report Winning With AI looks at why there is a big gap between companies getting value from AI and those that aren’t as well as the cultural and leadership factors that characterize AI pioneers. This webinar summarizes the findings and lessons of the research.

The theory is simple: With a clipboard and a stopwatch, you can measure and improve the performance of your workforce. But management by metrics doesn’t facilitate breakthroughs. For that, you need leadership: the art of doing things you’re not sure of, and doing them with enrollment instead of authority.

Every team has a data-based strategy for regular season play — but the playoffs are a completely different story. In this episode of Counterpoints, we talk with Mike Trudell, a reporter who covers the Los Angeles Lakers for ESPN and other sports news outlets, about the mysterious intangibles that come to the foreground during the playoffs.

Managers and staff alike have been conditioned to respond to digital messaging platforms to the exclusion of all else — and digital distraction is costing businesses big in employee productivity. Managers can teach their reports how to tune out the siren song of digital devices, but they must model these behaviors themselves if they’re to encourage employees to do the same.

In our present age of digital disruption, the fact that digital technologies cause many of the challenges companies face doesn’t mean that technology is necessarily the solution to those problems. Where do companies focus their transformation efforts if not on technology? They focus on their most valuable assets: their people.

Current thinking is that the 7-foot center who used to dominate the NBA is a thing of the past. But a new analytics focus on defense shows that might not be the case. The Philadelphia 76ers’ data scientist, Ivana Saric, explains why.

A herd mentality and a lack of good data have led teams to make some poor decisions about trading draft picks. Is there a better way?

With customized and continuous data-driven feedback becoming a new normal, managers are revisiting the role they should play in delivering, facilitating, and curating face-to-face employee feedback. Does direct managerial involvement complement or compete with data-determined performance reviews?

How can we avoid being automated out of our jobs? When recommending areas for development, experts tend to focus on two broad classes of skills that distinguish people from machines: sociability and variability. But homing in on those areas can lead to burnout, leaving us even more vulnerable to obsolescence. Leisure can mitigate these effects. Beyond reducing burnout, leisure is a uniquely human activity that robots cannot perform, and it might actually make us better thinkers and workers.

In this webinar, IBM chief human resource officer Diane Gherson describes the technological and cultural challenges her company faced when they designed their new, digitally enabled performance management system — with buy-in from their 650,000 employees.

What happens when a free-agent player with a hot hand and great stats gets signed to a big, long-term contract, only to perform at a mediocre level? Counterpoints examines the problem of “shirking” in professional sports by looking at the data with Richard Paulsen, who presented his paper, “New Evidence in the Study of Shirking in Major League Baseball,” at the Sloan Sports Analytics Conference.

Prioritizing process improvement, redefining performance, and committing to digitization, DBS Bank revitalized its performance management strategy and turned itself into one of the world’s most successful global digital banks.

How can companies and employees find common ground when it comes to skill development and investment in AI capabilities? To start, senior executives should seek clarity around capability gaps and determine which skills their people need. From there, leaders should take an approach that advances those skills for human-AI collaboration.

The future of performance management is more data-driven, more flexible, more continuous, and more development-oriented.

A webinar featuring ADP chief behavioral economist Jordan Birnbaum describes how data-driven performance management can be used to improve the organization.

Findings don’t have to be earth-shattering to be useful. In fact, obvious insights can help you overcome three barriers to change in your organization: resistance to new data (“But that’s not what my experience has shown”), resistance to change itself (“But that’s the way we’ve always done it”), and organizational uniqueness bias (“That will never work here”). You can also gain trust by confirming what people already believe.

Companies will be able to operate as true digital organizations only when they learn how to respond quickly to unanticipated opportunities and threats. But instead of restructuring to increase agility, some organizations are assigning accountabilities for specific business outcomes to small teams or individual problem owners. Tackling new objectives is then built around individual flexibility, market-based resource allocation, experimental mindsets, and coaching rather than managing.

Giving people time and resources to pursue innovation projects can produce extraordinary outcomes — but only if you match your “slack strategy” to employee type. The authors found that different types of employees respond in different ways to slack innovation programs; that different kinds of slack resources are better suited to certain types of employees than others; and that different kinds of slack innovation programs produce different kinds of innovation.

To prevent email from feeling like a burden, teams should develop shared practices to enable it to help — not harm — employee productivity. This begins by developing an understanding of the relative effects of congruent vs. incongruent messages.

Artificial intelligence is beginning to replace many of the workplace roles that men dominate. The parts of those jobs that will have staying power are those that rely more heavily on emotional intelligence, abilities such as empathy, persuasion, and inspiration — skills in which women typically excel. In the AI economy, men won’t be as successful as women unless they embrace these differentiator skills.