AI & Machine Learning
Five Robotic Process Automation Risks to Avoid
As you explore how software bots can automate tasks, keep in mind some of the accompanying risks.
As you explore how software bots can automate tasks, keep in mind some of the accompanying risks.
AI systems can now make accurate, independent decisions — but they still need human inputs.
After an ethics scandal, one company took an unusual step: Shifting its focus toward sustainability.
Artificial intelligence helps doctors make better diagnoses. It can do the same for corporate leaders.
Organizations need decision makers with central (and internalized) moral identities.
Featured excerpt from WTF? What’s the Future and Why It’s Up to Us by Tim O’Reilly.
A proactive approach can defuse the internal politics that often derail digital maturation.
New factory audit processes make it possible to evaluate supplier performance in more depth.
Understanding the characteristics of a winning digital strategy is the key to developing one.
Developing new capabilities is the key to platform innovation that adds value to an organization.
Branding, a process used by marketers, can also be used internally to build excitement for projects.
Digitization alone doesn’t make your company “digital” — but these five guiding principles can help.
Financial reports provide critical insights into a company’s strategy — if you know where to look.
Getting business value from data depends on developing effective analytics teams — leaders included.
Ideas that have anchored technological decision-making have become unsuitable for the emerging world.
As a thank-you to our loyal readers, all MIT SMR content is open access on September 26 and 27.
IoT-enabled devices are the new weakest link in data security — and companies need to address this now.
Disrupting the status quo is often valuable, but taken too far, it can lead to ethical crises.
Watch a free, on-demand webinar with MIT research scientist Matthias Winkenbach on how interactive visualization and augmented reality technology to change the way we access, understand, and utilize complex systems and logistics data.
A global survey finds that AI is delivering value to companies that use it across operations.