Kay Firth-Butterfield (the World Economic Forum), Ya Xu (LinkedIn), and Charlotte Degot (BCG GAMMA) join MIT SMR senior project editor Allison Ryder for a discussion on innovating with artificial intelligence.
To address algorithms’ potential harm, companies must be willing to focus on users and rethink their business models.
The risks of hubris in leadership, increased influence for minority partners, and transformative in-store tech.
Etsy CTO Mike Fisher discusses developing as a leader, speaking the language of business, and being open to change.
In-store technology promises a better customer experience — and fuel for improved retail analytics.
Organizations can benefit from taking a holistic approach toward digital transformation efforts.
Six strategies can help guide data science teams toward greater success in cross-unit projects.
Addressing social capital in return-to-office plans, deploying AI to manage wealth, and reducing coordination complexity with microservices.
Many organizations have challenges with deploying AI. Wealth management is a clear exception.
Tassilo Festetics shares how in-house technology innovation is helping AB InBev enhance its products and service.
Dramatic changes within the life sciences industry present unique opportunities to use AI.
The technology for creating deepfakes offers the potential for companies to build positive customer experiences.
First-generation blockchain applications are delivering value by removing friction in shared ecosystems.
Preserving public trust, evaluating a female-focused recession, and regulating a tech crisis.
Companies that emphasize collaboration between AI and human workers are best positioned for success.
New technologies can help solve critical global problems in energy, medicine, and urban planning.
There are differences between what constitutes a successful early AI pilot and success in other types of IT ventures.
The pandemic has demonstrated the potential of self-sufficient production. Is this the future?
Porsche is accelerating innovation by emphasizing the need for collaboration between humans and AI technology.
Companies can deliver services more efficiently as modular tasks that can be shifted among global teams and locations.