Retail organizations worldwide are increasingly seeking to understand how AI is transforming the industry and one thing is for sure – in order to stay competitive in today’s market, retail businesses must carefully focus on consumers, prioritizing profit and (labor) productivity. This is exactly where Artificial intelligence (AI) can play a crucial role in supporting …
Hello! Here you are, reading this article, and it is highly likely that some AI powered algorithm made it readily available for you based on your search and other information it might have on you. Artificial Intelligence (AI) and it’s closely connected sub-term machine learning (ML) still for most people evoke some robot like perception, …
In today’s highly competitive business environment, companies must do everything in their power to build and maintain customer loyalty. One of the most effective ways to achieve this is through personalization, which leverages customer data and technology to deliver unique, tailored experiences to each individual customer. Artificial intelligence (AI) has emerged as a key tool …
In the emerging business need to stay competitive, increase conversion rates, boost loyalty programs and/or improve customer experience during shopping – recommenders have become an integral part of data-driven strategies. Depending on the end goal, available data and technical resources – there are different types of recommender models that can be of use. The final …
When we started building our product, we focused on the Recommender engine and Segmentation. As a startup, we embraced agility and focus on the market. At the beginning of 2020, we decided that our product must become a reflection of our team. Then we said it must be a “no bullshit” product, agile or, in …
Bonuses and monetary incentives are touted as a cure-all solution for instilling a culture in a company. Fortunately, it will take a touch more than financial incentives to get the culture right. Giving monetary incentives can lead to poor results; look no further than what happened to the Brits in colonial India. The British governor …
Segmentation is a widely known term, especially within the marketing sector. It is an insightful, effective and actionable approach to better understanding a customer or client base. What is so attractive about leveraging AI specifically within the banking sector is the amount and variety of data. Segmentation per se is not the final outcome of …
According to Gartner, only 15% to 20% of data science projects get completed. Of those projects that did complete, CEOs say that only about 8% of them generate value. Despite these facts, data science is still considered as an opportunity for business growth. These facts are something that always lingers in the back of everyone’s …
Intro and motivation In the beginning, it started as the three separate projects. The first one for managing machine learning models known as MoMa, the second one for forecasting using multiple models to give the best results (Fibi), and the third one was a business solution for segmentation and recommender system with personalized view and …
I didn’t want to start this post by quoting the percentage of data science projects failing to deliver commercial value or business utilization. Many data science projects fail – and that’s a fact. What’s important is to make sure that you are not spending hundreds of Ks of euros/dollars? and other resources and fail. Being …
Lately we’ve been hearing different kinds of buzzwords all the time – ‘deep learning’, ‘neural networks’, ‘computer vision’, ‘artificial intelligence’… But the explanation of each one of them is actually not so simple. Still, it’s not hard to understand the main concepts of them in order to use it in some real-world applications. One of …
This confirms Things Solver’s strategy to continuously enhance its solutions and offer the most advanced products and services to customers Joining forces with the established IT partner ASEE, together we will accelerate the development of existing and new products based on advanced analytics and data processing. We are happy to embark on this new journey, …
In the previous text, we talked about the basics of streaming, what it means in theory, what are the advantages, disadvantages and mentioned some streaming tools. This text is more technical, and we will talk about Flink in general as well as the basics of streaming in Flink, the whole process from start (read data) …
Needs in the IT sector are constantly changing. After Coronavirus hit us unexpectedly, this is true, more than ever. In order to keep distance from each other, we were forced to limit all our activities that can’t be done online. At first, this was shocking and we weren’t prepared for such change. But when we …
Data streaming has become very popular in the big data industry. It is used for processing large amounts of data from different sources which are continuously generated, in real-time. When we say “real-time” we need to understand that it can vary from a few milliseconds to a few minutes. Besides that streaming is enabling us …
Main challenges Although EDA is often observed as an initial step which should be straightforward, there are some challenges that could slow down and make this process poor and painful. Some of the challenges I have encountered so far are listed below. Poorly defined business problem (and not having the understanding of it). Not having …
Marketing is one of the most fertile fields for Data Science. There are many different techniques and directions which marketing teams are striving to realize, but the two most frequently discussed are – up sell and cross sell. For those of you who are less familiar with the terms, “up sell” stands for the action …
We live in the era of information technology, when we generate more data in 10 minutes than the amount of total data generated from prehistoric times by the year of 2003. Having the processing power and memory resources to handle all this data being generated from different actors within different processes – organizations strive to …
After participating in a meetup at the end of March, subjected “Data Science – what is it?”, a lot of people contacted me to send them some introductory materials to help them get started with learning. It took me a long time to sit down and start compiling a list, because there are many sources, …
Retail industry. In the glory of Data Science, it’s all about the data and tailor-made targeting. If you want to brag about it, you would say – I’ve got the unique, omni-channel, 360-something, that can perfectly model customer’s behaviour and even go to Mars. What really happens is that you literally feel lost. There are …
Our company – Things Solver, helps clients make better decisions by analyzing relevant data. During analysis of the data, we often notice significant differences between what our clients would intuitively decide and what their data tells them to do. One striking example of a gap between our perception and reality is the state of the …
The fact that there is a deep connection between the telecommunications and Big Data is very clear – the main task for telecommunications is in exchanging data. Since the amount of data has enormously increased in the modern era, the experts in telecommunication companies needed some help from the specialised experts. The need for the …
The client’s path, from conceiving an idea to making it a project in the bank, used to be clear, but unpredictable. It involved a potentially noticed ad or the client’s own idea, a visit to the bank counter in person and the more or less successful deal with the bank. It was very time consuming, …
Students of the first Data Science Academy spent three months on a journey through the world of data science, big data and analytics. Although most of them are coming from the world where Data Science is not the hottest thing, they bring home many impressions from the journey. “The knowledge is never a burden, new …
Some of the main tasks for the bankers are, among others, keeping, preserving, deriving more from less, taking the best out of what the clients deposit to them, with great confidence and trust. Almost the same definition could be applied to the Data Scientists dealing with the big data. They also deal with keeping, preserving, …
A man is defined in numerous scientific ways, but one definition seems unchanged since the beginning of time. The man is the creature that communicates – from the first attempt to speak, till the last tale told to grandchildren. “The telecommunications are defined as the exchange of the information between the source and the destination, …
In every business, the ultimate dream is the one about the magic success formula. The search for ingredients is very extensive, but they often live next door. So now the greater „magic” becomes the question of using, understanding and connecting those dots. That „magic” even has a name. „Data Science is actually the applied science …
