Data, AI, & Machine Learning

Monolithic, highly interdependent organizations can become modular ones by embracing microservices.

Two new branches of digital olfaction technology could help companies use smells to improve the customer experience.

Anticipating and withstanding cyberattacks — cyber resilience — must become a companywide concern.

Data-driven decision-making anchors on available data, which can lead decision makers to focus on the wrong question.

Organizations that struggle to gain payback from data science efforts can recognize and overcome five common obstacles.

To gain business agility, leaders must deconstruct jobs into tasks and deploy workers based on their skills.

Data accessibility must be managed from the start of AI projects in order to be implemented in production.

Collecting and analyzing the right employee data can help leaders build more equitable workplaces.

Recommendation engines promise to revolutionize how customers buy and employees work.      

Discover how to overcome challenges and identify opportunities by assembling the right talent, upskilling your leadership skills, and reshaping organizational strategy. The AI & ML collection helps leaders think strategically about artificial intelligence and make the kinds of decisions that will best leverage the associated new technologies.