The best way to learn how to swim is to jump into the deep end of the pool and figure it out as you go along. That’s how most newbie investors enter the world of investing. Open a brokerage account, Google “best stock to buy,” follow some Foolish recommendation, panic, then drown. Rinse and repeat. […]
IPOs are coming out of the woodwork in a heated market that defies the imagination. There has been an unprecedented loss in productivity around the globe, yet the markets continue soaring to new highs. In the words of Mr. Dickens, “it was the best of times, it was the worst of times.” It’s always a […]
In a recent piece on hyperautomation, we talked about a success story where a professional services firm saved half a billion dollars by adopting robotic process automation (RPA). That’s the sort of exponential value that’s an easy sell at the C-level. Companies that can manage to implement RPA successfully are now reaping big rewards. Then, […]
The idea of backing up your data is as old as computing itself. Remember autosave? That was what you hoped would happen while typing away in Corel WordPerfect just in case you encountered the blue screen of death (BSOD). Back in the late 90s at the peak of dot-com mania, hard drive space was still […]
“The most arrogant thing an investor can do is to stock-pick,” was the title of an article by MarketWatch which suggested that purchasing any one stock implies the price is too low and every other person on the face of the planet thinks otherwise. According to the efficient market hypothesis, all available information should already be priced into any […]
The notion of nanoscale self-replicating machines getting out of control and covering the earth in “gray goo” is an idea proposed by Eric Drexler in his 1986 book Engines of Creation. Similar to how cancer cells begin multiplying in an out of control fashion and wreaking havoc in a host organism, machines might be capable of doing something very […]
A machine learning algorithm is only as good as the data you use to train it with. That’s why any company that has a large proprietary data set can now start to extract exclusive insights from it, something that in the olden days we used to call “data mining.” Nowadays, it’s all about trying to predict the […]
We do lots of research here at Nanalyze, and over the years we’ve learned that market size estimates are largely useless. This quickly becomes apparent when you go gather every single estimate out there and compare the numbers. Essentially, what you get are a bunch of MBAs who all use different methods to arrive at different […]
The term “metadata” refers to data that describes data, and it comes in quite handy when you’re training machine learning algorithms. Take for example a picture of a table with a plate of eggs, bacon, and toast along with a couple of hands holding utensils. We can easily label the individual objects – knife, fork, left hand, […]
Mental illnesses affect 15.5% of the global population. They’re the leading cause of disability-adjusted life years, accounting for 37% of healthy years lost from non-communicable diseases. Even worse, mental health conditions are on the rise, with some estimates putting the costs to the global economy up to $16 trillion between 2010 and 2030 if global healthcare systems […]