System thinking via Marx, Adam Smith and Heinlein, courtesy of Salesforce's Peter Coffee.
For every innovation, we need today to include in our assessment some questions of the form, “What if this catches on?”, says Salesforce's Peter Coffee.
Don't be data-driven off the cliff! Salesforce's Peter Coffee navigates through the abundance of data encountered today.
"The only profit center is the customer whose check has not bounced." Salesforce's Peter Coffee considers the nature of tomorrow's Quote-To-Cash.
Lessons from Sergeant Pepper's Lonely Hearts Club Band - Salesforce's Peter Coffee finds much to consider.
What makes for a successful pivot by a challenged incumbent, enabling (in rare cases) continued leadership through more than one major epoch of an industry? Lessons from the Art of War.
Nail-clippers, toasters and voyages of fractal dimension - Salesforce's Peter Coffee has maps and metaphors on his mind.
Six months ago, Salesforce's Peter Coffee asked and made a real effort to answer the question “Why AI now?”. Flash forward to today and the question might be "What AI next?".
Making stuff, or doing stuff, is only an outcome, however important that might be: it’s what a culture’s “technology” enables. Salesforce's Peter Coffee gets up a head of STEAM.
Salesforce's Peter Coffee has had enough of apocalyptic thinking. It's time to think about creating partnership between technology to do the routinizable and the algorithmable, and people to do the trans-disciplinary and the relational.
Overwhelming amounts of data can turn into overwhelming misinformation, says Peter Coffee of Salesforce – especially if there’s a confirmation bias in play, where too many of the people asking questions are all expecting (or even hoping for) the same result.
"We did tell you this would end in tears, with plenty of lead time to think about it and be smart while it could still matter." Salesforce's Peter Coffee issues a wake-up call on recent attacks on internet-active devices.
The current level of energy around the topic of artificial intelligence (AI) demands an answer to one simple question, says Peter Coffee, and that is, "What’s different this time?"