How would you repair some hardware before it breaks or how would you quickly tag 50 million videos? Well, you may just have the software watch videos for you and tag appropriately. Even if you’re not pornhub or netflix, if you don’t mind, give us a call.
Machine Learning
Computer users just want smart software. Developers just love to tag smart features with the label of artificial intelligence. Sales consultants just see and sell AI as the panacea of all business illness 🙂 Machine Learning is the term many use when they want to look cool. ML is about having computers do magical things but it’s not a magic wand. Outside movies and sci-fi books, you can’t just load data into the machine and have the machine read your thoughts. This said, with ML you can do quite a few really cool things.
Automating Devices
Sometimes reality exceeds imagination and even jokes. Twenty years ago, a fridge that emails because it is running short of milk was no more than a hi-tech joke. Today, instead, we take remote control of home devices for granted and look so condescending at smart working where devices measure the quality of air and keep adjusting temperature automatically. Magic? No. It’s the Internet of Things, baby! 🙂 You don’t have to be a wizard. You don’t have to be a visionary A freak is enough. And maybe a call?
RFID, NFC, Bluetooth, QR-code or just IP addresses–all ways to identify things and small single-board computers to give life to every physical element we see all around every day. Complicated? Sure, in fact sometimes it just seems like the Internet of Tweaks!
For a data store, being decentralized is an attribute and doesn’t make it necessarily qualify it to be the ideal solution. It’s the problem itself that leads to a solution. Blockchain, instead, mostly seems like a solution waiting for a problem! Companies need solutions to their true problems.
Blockchain
To a canonical software expert–one who usually devises software systems–the whole Blockchain thing sounds interesting-but-weird 🙂 This is because we’re talking about a storage paradigm that is not (yet?) the breakthrough of anything. And a technology is a breakthrough when it makes possible to achieve things that weren’t possible before. Internet was a breakthrough; digital photography was a breakthrough, GPS was another. Not Blockchain. Or, at least, not yet. Do you have an idea?
Quantitative Analysis
Remember the popular mantra of Snow White’s evil stepmother? Rephrased, it may sound like Data data in the store, why not tell us a lot more? 🙂 Data has it all and data can tell us more and more about the underlying patterns and behavior of the business. Even without reaching the implementation heights of machine learning, statistical methods can clear the troubled waters of your data lake. Still lacking a data lake? Give us a call right now!
The long-term availability of digital information created large datasets of information waiting to be mined. The only tool to do it is statistics. Machine learning that is all the rage today is a more advanced tool, but plain old data mining is still at hand and still the best tool for simple needs.
More often than not, it’s the software you may or may use but it’s the workflow you employ. A branch of operational research is dedicated to standard algorithms to optimize flows of work. But sometimes you don’t need a data scientist.
Optimization of flows
Let’s pretend you’re the owner of a small waste collection business in the bucolic surroundings of Borgo Nerchia. People come by and drop their garbage but you need to track a number of things not because of you but because of the law. You ask customers to fill out a paper form. What? Digital is better? Sure, promptly you scan the sheet to PDF and store it to a local PC 🙂 It may take five minutes (greetings included) but at peak time customers may queue up and get annoyed. For no reason. Or rather, for your arguably optimized processes. Now, why don’t give us a call now?
