Talent Management
How Managers Can Enable AI Talent in Organizations
A successful AI-enabled workforce requires key hiring, training, and risk management considerations.
A successful AI-enabled workforce requires key hiring, training, and risk management considerations.
Employers could use surveillance tools — with constraints — to keep workers safe and healthy.
Insights for developing and executing AI strategy at the leadership, organization, and talent levels.
Digitalization can’t deliver agility or reliability unless you first determine data access, quality, and lineage.
This week’s must-reads for managers: harnessing disruption for a better future, developing innovation capital, and aligning company culture with corporate values.
Company practices often conflict with corporate values. Closing the gap starts with communication.
Shareholders and stakeholders, data science’s pandemic shift, and combating workplace discrimination.
Companies are beginning to reboot their machine learning and analytics, disrupted by the global pandemic.
Organizational leaders can begin to address racial discrimination in the workplace by taking strategic actions.
Michael Schrage, coauthor of the recent MIT SMR-Deloitte report, “Opportunity Marketplaces,” explores how organizations can offer opportunities to their workforces.
A pharmaceutical giant enlists a consultant to help create an industry-leading global compliance system.
MIT Sloan’s Ben Shields says business can compete better using pro sports’ approach to data analytics.
Opportunity marketplaces sustain employment, reveal untapped worker capabilities, and motivate workers in new ways.
Ask these four questions to determine whether your AI system is really an AI solution.
How U.S. companies are commemorating Juneteenth; what a 2020 recession may mean for data analytics.
There has been a huge demand for data scientists in the past decade. Is that about to change?
How businesses can act against racial injustice, and new leadership challenges in a suddenly virtual workplace.
It’s early in the age of experimentation — and the right time to start building expertise.
Understanding how cybersecurity and cyber resilience differ is key to effectively responding to cyberthreats.
Recalibrating metrics to assess work-from-home performance is essential to ensuring that remote work actually works.