How automation helps businesses
Remarkably, with automation, I mean any automated process that saves money, time, and speeds up workflow like either a simple automated watering system (IoT) for greenhouses or a simple automated email responder as well as a more sophisticated (but) already common bot working for customer support. Down to Earth, we don't really meet terminators, however, we meet bots that can work 24/7 (to hold occupied a chair for 24/7, you need to employ 5-6 people to work 8 hours/day, 5 days/week, and cover each other's holidays. It could cost some £80.000+ per year).
Now, when some of your competitors have already deployed bots to reach advantage so let's think... Imagine that you've got just two hands, there's much more work which you'd like to have done like for example: "in the marketing" but, actually, you can't so simply employ extra-human power for office jobs such as agents that search for more customers and perform other frequent office duties. However, you know that it helps and you need it, that if you'll see yourself backed by an army, empowered by a huge army of workers doing all the jobs then you suddenly find yourself more profitable, you could see yourself much more successful and look at more money. Do you think it might help? Yes? If yes then it's at the same like with me.
For an example (not a boundary), I liked this idea so this was one of the considered solutions which I wanted to test. Either way, this field of AI/automation is old and I am not the most original programmer, but to add, when I had programmed some own projects, it definitively showed up in all digital, visual, and other measurable objectives as a very current fact, not a futuristic or utopistic dream. Here's one of my bots (some of them are released as an open-source) that is allowed by Twitter rules to read up to 180.000 tweets per hour (3000/min - 50/sec), searches for customers, and replies them to their questions (helps them) if they tweet that they need or even search for a developer.
How automation can help businesses
Some case studies are also available...
- Cutting costs (business expenses spent on running a business), holding a business in green numbers.
- Analyzing, comparing (that gives visualized analytics), and sometimes, it is also applicable for a direct decision-making (computers are not as intelligent as humans and both carry a capable long-term memory (HDD/SDD). However, human working memory can hold, sub-consequently analyze and then compare merely 5-7 items at once, meantime, computer working memory (RAM) can hold, consequently analyze and then compare thousands of items at once, at the same moment (humans can't do it). Additionally, see the Analysis Paralysis, Overchoice, or the Paradox of Choice.
- Increasing productivity (computers are not as intelligent as humans, but machines perform incomparably stronger as only a superman can do).
- Rocketing speed (saving time), satisfying customers, and improving reviews - decreasing waiting times that customers hate (computers are not intelligent as humans, but computers perform incomparably faster as only a superman can do and this can help to get more stable customers along with better reviews).
- Increasing quality and efficiency - decreasing error rate that can upset customers, slow down work progress, or causes direct financial damages.
- Searching for new customers, new clients, new financial sources.
- Balancing, temporary covering deficits of human work power when there are no people that can work.
- Securing financial processes (machines don't try to steal or cause any other form of a crime).
- Applying and guarding a work policy (automated clocking-in, measuring a workflow, ratings, etc).
- Bringing an equality and fair work environment into a workplace (computers don't side to anyone. Computers don't discriminate anyone. Computers don't have any moody days, cognitive biases, or logical fallacies. Computers don't cook needles, don't drink, don't smoke and don't smell to white powders, or glues. Computers are not subjective, only objective. Computer don't politize or lie. Computers are totally fair).
- Increasing general measurement capabilities (that can farther improve quality and efficiency, save money, and decrease error rates).
- Improving communication.
- Strengthening operational stability.
- Collecting and archiving data (e.g. for financial institutions to avoid troubles).
Automation usually goes with the Python programming language because of the development speed that cuts on associated costs and time (the same program written in Python code is shorter than in other languages, so the development goes faster, and shorter code usually contains fewer bugs) and the number of available libraries. Notably, Python enables us to make usage of GPU (meantime, it is needed, used only for huge computations) or/and multiprocessing on more CPU cores/threats (not all programming languages are capable of utilizing multiple cores and/or even threats).