![]() Obviously there are certain downsides to using AI and machine learning to complete tasks. From an investment management standpoint, it’s a game-changer. It’s a powerful application that has huge real world implications. We use this capability extensively in our Investment Kits, with our AI looking at a wide range of historical stock and market performance and volatility data, and comparing this to other data such as interest rates, oil prices and more.ĪI can then pick up patterns in the data and offer predictions for what might happen in the future. For a human to go through 10,000 lines of data on a spreadsheet would take days, if not weeks.Ī properly trained machine learning algorithm can analyze massive amounts of data in a shockingly small amount of time. Humans simply can’t match AI when it comes to analyzing large datasets. ![]() It leads to fewer errors, less downtime and a higher level of safety. It will do the same tasks, to the same standard, forever.įor repetitive tasks this makes them a far better employee than a human. Not only can an AI program run constantly, but it also runs consistently. As long as the power is turned on, algorithms can run 24 hours a day, 7 days a week without needing a break. Speaking of tiredness, AI doesn’t suffer from sugar crashes or need a caffeine pick-me-up to get through the 3pm slump. Typing the wrong number in a mathematical equation, missing out a line of code or in the case of heavy duty workplaces like factories, bigger mistakes which can lead to injury, or even death. These lapses of attention can lead to mistakes. Whatever the reason, it’s common and normal for human attention to move in and out. Maybe we’re going through a bad breakup, or our football team lost last night, or someone cut us off in traffic on the way into work. It’s nothing that some lunch, a coffee and a lap around the block won’t fix, but it happens.Įven if we’re fresh at the start of the day, we might be a bit distracted by what’s going on at home. After a few hours in front of a computer screen, we can get a little tired, a little sloppy.
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