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.
New competitors will require consumer packaged goods companies to engage directly with consumers.
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.
Until regulations catch up, AI-oriented companies must establish their own ethical frameworks.
Travel marketers need to recognize and embrace analytical sophistication.
An industry executive and a scholar discuss how AI-based tools can transform the retail business.
Retail companies that neglect machine learning do so at their peril.
Northwestern Mutual has found that KPIs are necessary for the future of marketing.
Data-driven decision-making comes with challenges and opportunities, says GoDaddy’s chief revenue officer.
Executives in the automotive sector believe that machine learning can help them achieve their marketing goals, but that doesn’t necessarily mean they invest in that ambition.