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" ... As a DM, I joke with my players and say no detail is minor. A good DM takes copious notes to build future games. In virtual meetings, notes have two powerful functions. ... "
" ... Even once we can safely leave the masks behind and physical contact isn’t met with copious amounts of hand sanitizer afterward, the engines of our financial technology future will continue chugging forward. We’ve seen how digital payments and commerce has helped keep business afloat amidst this trying year, and that technology is only going to get smarter, faster and more intuitive. In a year that uprooted so much of our lives, fintech was there to help us make it through, and I think it will only keep growing from here. ... "
" ... Of course, these sorts of data-driven tasks are the very domain of AI. No matter its application, AI is fundamentally designed to gather, analyze and come to objective conclusions about copious amounts of data very quickly. Autonomous technologies go a step further and act on their conclusions, which can give users the impression that AI has free will or an opinion of how things should be. Neither is true, of course. AI works without emotion in pursuit of a predetermined goal. It just takes a different approach most of the time, and this is where resistance kicks in. ... "
" ... Surprisingly, Sarah and her small but mighty team do not spend a lot of time listening to pitches or meeting with entrepreneurs. Instead, they focus on a copious due diligence process to determine which businesses to fund. Her team spends about 100 hours of research for each deal, and she reads an astounding five to six hours per day. She points out that her law degree prepared her for this dedication to research and study. The company is consistently making sure all bases are covered, thinking about what can go wrong, ways to help, and analyzing impact metrics. ... "
" ... Traditionally, machine learning models are trained on copious amounts of data. This approach works for big tech giants, but it puts early stage startups — such as my company, Sleek — in a disadvantageous position. We do not have the resources or the size of data required to train deep learning models from scratch. ... "