Microsoft announced Azure Edge Zones, an infrastructure service that is an extension to the Azure public cloud. Here's why this is important.
Category: Big Data & Data Science
For Code Runners it was a great honour to participate in the QuBit conference in Sofia, Bulgaria. What is QuBit? QuBit is a cybersecurity community event which is taking place each year in the region of Central Europe. The event was organised for the first time in 2014 in Bratislava. On the first event, there ...
One of our projects involved collecting data from the top 3 e-commerce platforms in fifty countries and devising automated triggers that monitor customer feedback to enable early detection of performance dips. Here's more...
Choosing between SQL and NoSQL database simply comes down to the needs of your business. Rational database works best with structured and consistent data. NoSQL works best with large volumes of data, which don't need to be structured.
BI and data visualisation are integral parts of contemporary data analytics programs. PowerBI and Tableau are great tools, but which one is better?
Startups to multinational corporations meet informed business decisions relying on the data they collect or buy. Having become so precious (dubbed “the oil of the 21st century), businesses can't afford to miss any of it and therefore record everything. The collected datasets can afterwards be used to get meaningful insights on almost anything – sales forecasting, surveys, customer satisfaction(CSAT) or employee performance.
Having access to predictive analytics and better decision making allows fintech companies to leapfrog and take on the big players in the field.
Building data science teams may be a daunting task – both because of analytics’ transformative power and our species’ tricky fear of change.Yet data science is not a goal: it is merely a tool to achieve better business outcomes. This especially true – and especially important to grasp – for non-technical companies trying their hand at data-driven ...
Code Runners has always been a data-driven company, and our customers have always been data-aware. Not always did they, however, extract, distill and employ data insights to reach business decisions – and that’s precisely what we helped them streamline. Initially, analytics were done hand-in-hand by statisticians, data scientists and developers – but machine learning has ...
Our CTO, Dimiter Shalvardjiev, presented our progress in the Machine Learning domain during ISTA2017 last week. The topic of his talk: “Making Sense of Big Data through machine learning and statistical modelling”. Dimiter shared general Machine Learning concepts, loads of examples by companies like Google and Alibaba, but also our subject matter expertise – mainly in ...