Content sponsored by AWS
Machine Learning and Your Business: The Journey From Concept to Reality
A Q&A with AWS’s Michelle K. Lee on the challenges and advantages of adopting machine learning.
A Q&A with AWS’s Michelle K. Lee on the challenges and advantages of adopting machine learning.
Insights for developing and executing AI strategy at the leadership, organization, and talent levels.
Artificial intelligence can give businesses a competitive advantage during (and despite) the COVID-19 pandemic.
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?
Cognitive automation could help managers make better decisions more quickly in the wake of COVID-19.
Big data mining is no longer enough. Data exchanges will shape new economic ecosystems.
How to harness sensor data to generate new value and revenue for traditional products and services.
How businesses can act against racial injustice, and new leadership challenges in a suddenly virtual workplace.