Data & Data Culture
Fuel AI Success With the Right Data and the Right People
The right data and the right people are essential to AI success.
The right data and the right people are essential to AI success.
Learn about current and future opportunities and use cases for artificial intelligence in logistics.
Job crafting empowers workers to proactively transform jobs they have into jobs they want.
Learn how grassroots automation helps companies speed up digital transformation efforts.
Using values to guide decisions can benefit customers and improve operations and the bottom line.
Learn to drive digital transformation by turning business-domain experts into citizen developers.
To succeed with machine learning, manage projects as business initiatives, not technology projects.
Many organizations are experimenting with generative AI, and many questions remain about its impact on the workforce.
This free webinar offers expert insights on effective data-management strategies for AI adoption.
This webinar from MIT SMR offers guidance to help business leaders thoughtfully plan a generative AI implementation.
This webinar from MIT SMR explores key areas in which generative AI could transform existing ways of doing business.
This webinar from MIT SMR covers the basics of generative AI and explores business use cases for the emerging technology.
In this MIT SMR webinar, experts discuss why skill should be front and center in organizations’ talent strategies.
Leveraging data assets for significant financial returns requires company-wide effort and education.
How to quickly apply new soft skills to tough problems and build lasting culture change.
Supply chain risks have become nearly incalculable. Managing them requires a capabilities-driven mindset.
This free webinar offers business insights about application programming interfaces (APIs).
Learn how to build a culture that attracts top talent and boosts retention.
Business leaders who write competitors’ actions off as irrational risk getting blind-sided.
Shifting emphasis from customer lifetime value to customer portfolio lifetime value can drive future revenue and lower costs.