What’s it like to teach machines to learn?
Did you ever try to google what Machine Learning (ML) is? The search would result in dozens of academia, researches, forums, articles and interviews. A true pandora box, with topics ranging from ‘the dawn of humanity’, or ‘computers will replace human beings’ to ‘the new future’, and ‘technology creating opportunities’. With the Internet (not to mention other media) and business buzzing about how important it is, there must be something beyond the hype! Oh, trust us – there is, so let’s dig in.
In order to simplify the job for you, we’re laying out the most important things about Machine Learning.
On this page, we’ll cover:
What Machine Learning really is
What are the differences between Machine Learning and Artificial Intelligence (AI)
What are the benefits of using Machine Learning solutions
What industries and sectors should be particularly interested in harnessing Machine Learning
We will focus particularly on the technical side of it, discussing what frameworks and libraries are most often used and recommended to build reliable Machine Learning solutions
A vast pool of ML benefits
Now that we are aware of what Machine Learning means, the next step is to understand what benefits it brings to the business in practical terms. And with growing amounts of data and more powerful computational power and affordable storage, the benefits are many! Here are just 5 most obvious ones, which make ML important for business:
More informed business decision making in real-time
Making the right decisions at the right time is crucial to being successful in business. With an ever-expanding pool of data, every organization is now in possession of, there is a hidden potential to tap into. ML allows companies to translate data into meaningful information and derive insights, by quickly and automatically produce models that identify opportunities for profits. Including this knowledge in processes and operations takes a business to a whole new level and helps to stay on top of the risk. On the fly, right here, right now.
Introducing automatization
Reducing manual tasks plays a vital role in the economy of the 21st century. With Machine Learning, businesses can take the most mundane and repetitive tasks off employees, increasing their productivity and allowing them to do more value-adding tasks. But ML can help with even most complicated tasks, such as applying predictive models to real-time changing data in order to support decision making.
Enhancing security
Effective detecting a breach in network security before its escalation is crucial. In order to increase the overall security of organizations, advanced ML algorithms monitor behavior to detect anomalies in the network. Applying self-training Machine Learning models results in continuous improvement of cyber-security, detecting malware, preventing data leaks or service outages, recognizing phishing and limiting spam issues.
Reducing the costs of operations
With the use of Machine Learning, companies can go without a large number of employees focused on doing repetitive work. For example, ML improves time-intensive documentation in data entry. Moreover, algorithms help with streamlining existing processes and at the same time are detecting opportunities to increase performance and cut costs.
Taking products to another level
Machine Learning can also support a business with products – in the way they are designed, personalized, promoted and sold. As ML comprehensively consumes incredible amounts of relevant data, it can be used for data-driven marketing to review and modify assumptions regarding products or services, including customer behaviors and segmentation, optimizing offers and improving personalization in order to successfully increase and accurately predict lifetime value.
Machine Learning use cases – who can harness the benefits?
With that many impactful benefits of Machine Learning, this technology can be easily adopted and applied
to many industries and sectors – especially there, where data is core to the offering and services.
Most businesses already recognized the value of ML. Self-driving cars, recommendation engines,
healthcare or finance are examples of very important uses of ML in our world today.
See how technology is shaping the world we live in:
The most popular Machine Learning technologies
ML becomes more and more prominent, no doubt about it. As its popularity increases, a variety of tools and frameworks developers and scientists have available constantly multiplies. With the support of the biggest players like Microsoft, IBM, AWS or Google, offering ML APIs and cloud services, combined with a range of coding languages, frameworks, and libraries working well with Machine Learning, developers can build
and train models with ease. If you expect high-quality results, you should work with these technologies primarily:
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It’s hard to find an agency with such an optimistic and passionate attitude. We were impressed with their knowledge. It was great that we could totally rely on their expertise and skills. We’re really happy with the solutions ASPER recommended and the way they managed the whole project.
Their key strength is that they listen, so if we have a problem, ASPER will come back with potential solutions and suggestions. They are quite proactive in their way of working with us, and we find it to be a valuable part of our overall team.
Let’s wrap it up
When it comes to making the most out of Machine Learning, applying appropriate technology by experts with hands-on experience
is very important. With a diversified tech stack available, only working with the best tools, languages and frameworks can really
enable tapping into the pool of Machine Learning benefits, regardless the industry.
But there’s another key takeaway when it comes to ML. The most important success factor of data science and
Machine Learning is the data itself. The significance of having adequate amount of high quality data,
structurising it and making it fit for training the algorithms must not be underestimated.
Otherwise, you’ll end up with clutter rather than meaningful insights.
Why doing Machine Learning projects with us?
In the world of ever-expanding volume and complexity of data each organisation is in possession, it’s important to have a partner that will understand the technology to the extend which will allow for making use of it.
Asper Brothers is a software house with experience in Machine Learning and data science, combining exceptional, hands-on technical expertise with a can-do attitude. We understand both decision trees and neural networks, but also how the business is run and what results it expects.
We know how to translate newest technology into meaningful business results, that will support operations and streamline processes, bringing your business the insights and predictions you need. Our convenient location in the heart of Warsaw, a capital of a country with one of the best pool of developers in the world, is yet another reason to take into consideration.
Plus, we’re just a bunch of young, energetic, nice and easy-going geeks, always eager to support your business goals with technology. We treat both our employees and customers as members of the family, making your tech experience even more unique.
Make use of Machine Learning with Asper Brothers and propel your business!
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