Blog>>Data>>Data science

BLOG / ... / Data science

details

Data science involves the application of scientific methodologies, algorithms, and tools to extract knowledge and insights from data. This interdisciplinary field combines statistics, machine learning, and domain expertise to analyze large datasets and make data-driven decisions. Data science plays a crucial role in solving complex problems, predicting trends, and supporting evidence-based strategies.

Thumbnail of an article about Data Science vs. Machine Learning: understanding the difference
DATA

Data Science vs. Machine Learning: understanding the difference

We live in the so-called Zettabyte Era, which started in the middle of the 2010s when the amount of digital data and network traffic exceeded one zettabyte, or a trillion gigabytes. That might give you an idea just how much data is created and consumed nowadays. Not to mention that this amount grows at an increasing rate, and is projected to reach 181 zettabytes by 2025. Even though only a fraction of that data is stored for longer periods of time, the resulting data volume is still pretty intimidating.
Volha Duplenka

Volha Duplenka

on Apr 14, 2023
Thumbnail of an article about Types of Artificial Intelligence — a general overview of a formidable technology
DATA

Types of Artificial Intelligence — a general overview of a formidable technology

We live in a world that even a couple of decades ago only science fiction writers could imagine. The most amazing innovations quickly become commonplace and normal. However, if there is still one that doesn’t fail to impress, that would be artificial intelligence, as proven by the recent burst of interest in ChatGPT, a new language model application with advanced AI features that can be used to build chatbots. We encounter AI everyday, not only in chatbots, but also in voice-activated personal assistants, self-driving cars, robot vacuum cleaners, image generation software, and many, many other instances.
Volha Duplenka

Volha Duplenka

on Apr 12, 2023
Thumbnail of an article about Data Science vs. Data Analytics — main differences overview
DATA

Data Science vs. Data Analytics — main differences overview

We live in a world where data is ubiquitous. Websites track all their users’ every click. Your phone carries a map of where you are and where you’ve been. Smart homes record information about their occupants and sales sites collect data about your buying habits. More and more people want to look for usable information in the data, to draw practical conclusions. This interest in data has developed rapidly and widely with the consequence that companies are looking for professionals with data-driven skills to deal with specific data problems.
Katarzyna Hewelt

Katarzyna Hewelt

on Jan 26, 2023
Thumbnail of an article about Sentiment Analysis. What is it and how to use it?
DATA

Sentiment Analysis. What is it and how to use it?

During face-to-face conversations or by reading text - we, people, can determine a speaker's intention or mood, whether they feel happy about something or not. We can also identify the polarity of the context - is the expression positive or negative or maybe even neutral? It is relatively easy for most people, but do computers understand emotions? Is it important for machines to understand humans’ intentions? With the technological progression and advancement of machine learning techniques - our machines are getting closer and closer to answering these questions.
Katarzyna Hewelt

Katarzyna Hewelt

on Jan 10, 2023
Thumbnail of an article about AI and Machine Learning landscape for networks [infographic]
NETWORKS
DATA

AI and Machine Learning landscape for networks [infographic]

Aritifical intelligence (AI) and machine learning (ML) is a trending topic in all technological domains. It offers a rich set of methods for data processing that can be used to solve practical problems, including those occurring in networks. In this article we present a set of network issues for which the use of ML methods and different AI types can bring benefits and generally seems to make sense. Please note that this is a non-exhaustive list and is open to additions. For greater clarity, five main categories have been used.
Multiple authors

Multiple authors

on Jan 5, 2023
12

Get your project estimate

For businesses that need support in their software or network engineering projects, please fill in the form and we’ll get back to you within one business day.

For businesses that need support in their software or network engineering projects, please fill in the form and we’ll get back to you within one business day.

We guarantee 100% privacy.

Trusted by leaders:

Cisco Systems
Palo Alto Services
Equinix
Jupiter Networks
Nutanix