AI & Machine Learning
How to Build Good AI Solutions When Data Is Scarce
New data-efficient AI techniques can help when developers lack sufficient volumes of labeled training data.
New data-efficient AI techniques can help when developers lack sufficient volumes of labeled training data.
MIT SMR and BCG research team members discuss a recent artificial intelligence study at the Web Summit conference.
Human capital management tools work best when they’re based on data insights and tailored to meet employees’ needs.
A panel of experts weighs in on whether responsible AI governance extends beyond technology leadership.
Managers need more thoughtful and effective data collection practices to advance DEI in their organizations.
Embedding data, analytics, and artificial intelligence into products has been a game changer for businesses.
Wayfair’s CTO describes how the e-commerce retailer uses AI and machine learning to support customers and manage risk.
The 2022 MIT SMR-BCG AI and Business Strategy report finds organizations get more value from AI when workers benefit too.
Data science leader Khatereh Khodavirdi discusses how PayPal uses AI and machine learning for customer personalization.
To succeed with AI, design applications and workflows that tap the best of what people and machines have to offer.
Orangetheory Fitness members get the most out of their group workouts with some help from both AI and human coaches.
Most companies that are using AI are deploying it for augmentation, not large-scale automation.
A panel of experts weighs in on whether mature responsible artificial intelligence programs mitigate system failures.
ADP’s Jack Berkowitz explains the benefits of having data strategy, data products, and AI oversight within the CDO role.
The data streams generated by customers using smart, connected products can lead to new products and services.
The 2022 MIT SMR-BCG responsible AI report finds that leaders view RAI as important but few prioritize it in practice.
This issue of MIT SMR focuses on customer relationships and their connection to innovation and value.
Novo Nordisk’s Tonia Sideri explains how the pharma company uses AI to test new ideas before initiating tech projects.
This case study describes how Honeywell and EY teamed up to build a powerful compliance scorecard.
Successful AI adoption requires developers to think beyond business goals and address end users’ workflow concerns.