Technology Implementation
How Intelligent Is Your AI?
Ask these four questions to determine whether your AI system is really an AI solution.
Ask these four questions to determine whether your AI system is really an AI solution.
Many businesses overlook a solution to the machine learning talent shortage: upskilling employees.
Business leaders must rethink data management to succeed with machine learning.
Social listening — analyzing what consumers say on social media — can serve as a treasure hunt map.
MIT SMR Winter 2020 examines workers’ emotions and education, tech dilemmas, and how best to transform.
New research offers companies a framework for managing successful country portfolios.
MIT SMR authors David Bray and R “Ray” Wang discuss how people-centered design principles can serve as a framework in AI implementation.
Companies already use data to make marketing decisions. Will deep learning enable a leap forward?
Tom Davenport, Alex Breshears, and Abbie Lundberg discuss the specific challenges enterprises face in machine learning, and how they can create an end-to-end, factory-like capability.
We’ve unlocked our site and curated reading lists to help you solve your key business problems.
To avoid bias, people-centered design principles must be the foundation of deep-learning algorithms.
Automation can go far beyond cars. Self-driving company capabilities are closer than we realize.
A webinar describing what companies need to effectively use AI and automation for operations.
Tim O’Brien explains his role as Microsoft’s first full-time manager for AI policy and ethics.
To adopt intelligent technologies, companies need to develop both the right tools and human capital.
AI is making it possible for companies to reach a new level of customer-centric marketing.
Artificial intelligence may look poised to tackle tricky business decisions — but it only works for certain sorts of problems.
Companies must choose whether humans or machines should get the last word on employee performance.
To make AI a strategic differentiator, organizations need to draw from alternative data sets.
Australian social service agencies are taking the lead in using bots to improve services.