AI & Machine Learning
Global Competition With AI in Business: How China Differs
AI’s largest and most enduring contributions will be in non-technology sectors, and many of them will come from China.
Leaders must deliver rapid AI innovation while handling many related people management challenges, ethical dilemmas, and security risks. One key is developing strong AI leadership skills while recognizing that human judgment remains essential. Get expert advice to help your team succeed with AI.
AI’s largest and most enduring contributions will be in non-technology sectors, and many of them will come from China.
Retailers can boost profits and prevent abuse by tailoring their return policies with analytics.
In an uncertain world, supply chains must adopt flexibility and automation to gain sustainable advantage.
The MIT SMR Strategy Forum examines whether privacy concerns limit the use of consumer data.
KPIs measuring customer satisfaction and/or customer loyalty aren’t good enough anymore.
Technology leaders need to take a new approach to regain user trust.
MIT professor Munther Dahleh proposes a marketplace for data that bases the cost of data on the financial value it generates
Agile companies are assigning accountabilities for specific business outcomes to small teams.
MIT Sloan Management Review’s first annual cross-industry survey of senior executives in collaboration with Google offers insight into organizations’ use of key performance indicators in the digital era.
Are you on the path toward strong KPI alignment? Take this self-assessment to uncover challenges and opportunities based on your score.
Early adopters of artificial intelligence will divvy up a global profit pool valued at $1 trillion.
Retailers have new challenges in getting customers to accept different prices on different channels.
Innovation-focused adopters of AI are positioning themselves for growth, which tends to stimulate jobs.
Apps that encourage users to share contact information expose companies to a huge security liability.
As smart technologies embed deeper into human processes, a more powerful form of collaboration is emerging.
Using AI to create humanlike computers is a shortsighted goal.
The fundamental disruption introduced by AlphaZero’s hyperlearning in the chess world can teach business executives about AI.
Executive transparency better positions organizations for growth.
Deploying AI is very different from implementing standard software — and human input is essential.
Advances in inventory and sales analytics make it possible to deliver products both cheaply and quickly.