The seeds of our primary interface with machine intelligence rest in the humble origins of the vending machine. Here is the brief story of this evolution of self-service.

Technology ecology focuses on technology’s relationships with other technologies, with people, with organizations and with the planet.

A new breed of blockchain-based Decentralized Autonomous Communities could be how we save the world.

Social impact strategy aligns societal and business objectives, creating enormous brand value in the process.

Regenerative business creates strategies designed around stakeholders and social impact – and they are the future of business.

Automated self-service is Silicon Valley’s trick for automating the service economy and for fueling machine learning and the knowledge economy.

Machine intelligence will teach us to expand our understanding of intelligence.

Engagement is what enables organizations to coordinate external contributions of work and intelligence. It’s also the future of the human-machine relationship.

A (relatively) simple explanation of machine learning.

The Interest Graph is software for connecting us to our interests. Today, it makes us better shoppers. Tomorrow, it could change the nature of work.