Artificial Intelligence is easily applicable in anything that has a standardized system and less or no discrepancy or deviation. First, as an organized industry, banking runs on a set of regulatory guidelines and deals with numbers, it was only about time that it would board the AI bus. Secondly, there is this deviation angle.
For over 40 years, my father was a Chicago Bears season ticket holder. He was in the stands at Wrigley Field when the Bears beat the New York Giants to win the 1963 championship. He saw Gale Sayers race up and down a muddy field, scoring six touchdowns in a single game against the San Francisco 49ers. He watched Dick Butkus, the greatest middle linebacker in NFL history, brutalize opposing offenses. And, of course, he watched Walter Payton, aka ‘Sweetness’, break rushing records.
The “Internet of Things” (IoT) is a term you’ve probably read in the headlines. Perhaps a lot. Analysts forecast IoT revenues will reach $3 trillion in 2020 with 30 billion devices expected to be connected through the Internet.
Bill Gates. Elon Musk. Stephen Hawking. When the world's most brilliant, technologically savvy minds warn us of the danger of “killer robots”, it's no longer science fiction — it's a reason for pause.
If you’re a Star Wars historian or engineer, your days are probably filled with these nagging thoughts: Why did the Death Star ship to market with an obvious design flaw? How did the Dark Side get FDA approval for Darth Vader’s ambulatory suit? What supply chain solution did the Rebel Alliance use to design X-Wing Fighters?
I wanted to step outside of character today and shine the light on some other PLM smarty-pants to see where they weigh in on the topics of PLM return on investment, total cost of ownership and opportunity costs.
Historically speaking, identifying the total financial benefit from a product lifecycle management (PLM) solution is not as obvious as it is with an enterprise resource planning (ERP) system. Nor is it as straight-forward.