Until recently, self-driving cars were just an ambitious idea, unlikely to happen. Today, it’s our reality. Of course, they are still not a common sight on the roads, but the technology is ready to use. Self-driving cars have become...
When you think about big data analytics, agriculture is not the very first sector of business that comes to mind. However, we believe that big data in agriculture can be a real game-changer! Especially because farmers and growers deal...
As the world shifts to the big data era, the need for data collection, processing, and interpretation techniques continues to grow. Businesses are in the race to becoming data empowered, demanding insights from data science-powered...
In 2020, 54%[1] of enterprises agreed that cloud-based business intelligence was vital to their current and future initiatives. Primarily, that’s because this discipline is extremely helpful when it comes to the decision-making process,...
Data engineering is strictly associated with data science and AI in general. What is modern data engineering? What part of the data engineer’s job can be automated? What can we expect in the near future? These are the questions that...
The success of any business project is inextricably related to the work of the technical team. Depending on the scale of the project, its goals, and features, as well as financial capabilities, the company chooses the most convenient...
In this article, we talked about Machine Learning and Artificial Intelligence in pharmacy. It is a very wide subject, so we decided to draw more attention to one of the most important parts of it – Artificial Intelligence in...
Improving the entire manufacturing process. Enhancing quality assurance. Managing the supply chain more effectively. Customizing and personalizing production. All of that becomes possible as soon as you introduce data analytics into your...
E-commerce – is one of the first industries that started using all the benefits of machine learning. Nowadays, there are machine learning applications for almost every area of e-commerce. Machine learning solutions for e-commerce really...
Many companies use statistical models to optimize their activities. An example of this type of models are scoring systems used in banks in assessing creditworthiness, models used to optimize the activities of debt collection companies,...
Nowadays a lot of information are in the text format (books, documents, articles, social media posts, messages, reviews, chat’s conversation, description, website info etc.). Those files contains a lot of valuable information that can...
Business Intelligence tools such as SAP Crystal Reports and IBM Cognos appeared in the early years to speed up decision-making processes. To transform functional data into useful data, both tools require large investments in IT...
The problem of cybersecurity is on the front burner of thousands of companies worldwide. Cybersecurity threats and attacks constantly evolve. Hackers try to get to our computers and companies in order to steal money, obtain valuable data,...
Artificial intelligence is now present in almost every industry, and call center AI is not an exception. Nowadays, people can use this technology to improve or facilitate their daily work. In addition to the ability to learn and predict,...
![Data Warehouse Implementation [Step by Step Guide] (update: June 2021)](https://addepto.com/wp-content/uploads/2018/10/data-warehouse-implementation-1080x505.jpg)
Proper application of Business Intelligence Services (BI) and Data Warehouse implementation allows you to drill down into the organization’s data. It allows you to draw conclusions from information in order to gain a competitive advantage...
Do you still remember one of our recent articles, where we talked about image processing and computer vision? If not, we encourage you to read it first. As it turns out, these disciplines can be beneficial not only to the automotive...
In the modern business world, big data analytics is a critical discipline that helps companies make more informed decisions, accurately select development directions, and solve emerging problems. Of course, it takes time to do all that....
Apache Spark [1] is a powerful engine for processing large datasets efficiently. Apache Spark Machine Learning Library (Spark MLlib [2]) can be used to build scalable machine learning pipelines. We’ll explore Spark’s capability to perform...
In this article, we are going to show you what analysis of privacy policy using NLP looks like. Firstly, the privacy policy is a mandatory document that should be an integral part of every website, application, and online service. In the...
AI image recognition (part of Artificial Intelligence (AI)) is another popular trend gathering momentum nowadays — by 2021, its market is expected to reach almost USD 39 billion! So now it is time for you to join the trend and learn what...
Thanks to technologies like artificial intelligence, computer vision, deep learning, and IoT tracking and analyzing production quality becomes much easier, accurate, and effective. These technologies allow production and manufacturing...
In today’s customer-focused market, it is very important to know the customer lifetime value (LTV). LTV helps companies focus their business around the most “profitable” customers and predict customer lifetime value...
Artificial Intelligence and machine learning are conquering more and more industries and spheres of our lives, and logistics is not an exception. AI and machine learning in logistics can be a great help when it comes to the supply chain...
Over the past years, we’ve talked about a number of data-related professions. Interestingly, we never talked about data engineers. And that’s what we are going to do today. We want to show you a thorough data engineer job description. We...
How can logistics and supply chain benefit from data science? That’s the question that we want to focus on in this article. In the modern retail world, data science is literally everywhere. Smart solutions help companies track their...
We frequently say that data science and AI-related technologies are game-changers in many sectors and industries. Well, the banking and insurance sectors are no exceptions. In fact, without data analytics in finance, modern financial...
In short, metal fabrication is the creation of metal structures that are next used in various other industries. Is there room for intelligent solutions in this specific sector? As it turns out, yes! There are at least three significant...
In our previous blog post, we talked about artificial intelligence in the mining sector. Today, we want to dig deeper and examine what role data science plays in the modern mining industry. Shortly, we could say that it is a true backbone...
Most likely, that’s the very first time we talk about artificial intelligence in the mining industry on our blog. Therefore, we ought to start with some basics. How is AI transforming and improving this fascinating sector? Two words:...
Last time, we talked about AI in aviation. In this article, we are going to take a look at a closely related subject. Big data in aviation is also an interesting aspect of this industry. Thanks to big data, aviation companies can make...
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