When you ask Alexa to play your favorite song or open Netflix to browse suggestions, deep learning algorithms are doing their job. Different applications of deep learning entered our everyday lives so seamlessly that we hardly even noticed that.

But the potential of deep learning goes far beyond these cases. This technology keeps pushing the envelope across many industries, helping analyze volumes of data in no time and bringing automated processes to a new level of autonomy. …

Sustainability is a key vector of the technological development of the modern world. More and more companies are working with high-tech solutions that apply cutting-edge technologies, such as Artificial Intelligence and Machine Learning, to optimize business processes in a way harmless for the environment. However, there is still a lack of knowledge on how to build an end-to-end pipeline for your particular task and also reduce costs for your farm management.

When investments can bring profit

Greenhouses and other farms hire dozens of gardeners, who monitor plants and their growing conditions. Consequently, the more plants you have, the more staff you need to involve. Exactly…

Healthcare and life sciences industry generates a large amount of data, which is driven by compliance & regulatory requirements, record keeping, research papers, etc. But also with an increase in the amount of data, the search for the necessary documents and articles for research purposes as well as the structuring of data becomes a more complicated and time-consuming procedure. For example, nowadays, biomedical search engines contain more than 40 million articles, which represent a huge amount of useful healthcare information. …

Your company collects tons of data but you still don’t know how to harness its power for improved business efficiency? Well, it seems like “data-driven decision-making” has become a buzzword used almost as often as “digital transformation.” True, almost everyone, from retail companies to agricultural manufacturers, strives to make data-backed decisions and establish continuous data analysis processes. But what kind of data should they gather? And how can businesses make most of it?

This article outlines four main types of data analysis and explains how they can help you manage a business in a smarter way.

The major types of data analytics

You’ve gathered terabytes of data, and now all you have to do is hire experts to make use of it, right? Well, it’s not all that simple. Finding big data professionals is hard: they’re scarce and expensive. But big data analytics outsourcing just might solve both these issues.

Besides, data-driven solutions are all the rage now. And the faster you deliver them, the sooner your company or startup will benefit. So don’t be afraid to outsource analytics solutions or data science because outsourcing will give you the speed in-house experts won’t. Keep reading for more advantages of data analytics outsourcing.

Big data analytics outsourcing benefits

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Nowadays a lot of companies try to solve the problems associated with the adaptation of the solutions designed for standard on-premise servers to work with cloud services. In this case, companies migrate their infrastructure, architecture, and services to the cloud providers like AWS and others. What are the main advantages of clouds over physical on-premise servers, and how is the migration process in large companies going? Keep reading to find out.

Business goals to be solved with the cloud migrations

First off, let’s define that there are 3 global types of data stores: on-premise servers, cloud servers, and hybrid. The last one allows managing IT infrastructure entirely remotely without…

The big data revolution is in full swing, and satellite imagery providers lead the way. With their constellations orbiting the Earth, satellite data is now accessible to everyone. This marks the next step in remote sensing technology for many industries — from construction to agriculture and forestry.

Planet, Sentinel, DigitalGlobe, and other satellite imagery providers offer different resolution options, but how do you choose? Most importantly, how do you know if you need high-resolution images or a lower resolution will be enough? Keep reading to find out.

What is satellite image resolution?

Resolution refers to how easy it is to distinguish an object in a…

Machine learning and artificial intelligence solutions have propelled mobile app development to a new level. Applications with the integration of machine learning technologies can successfully recognize and classify images, human voices and actions, conduct text recognition from images and translate it. This list can easily go on. However, the main problem for engineers remains transferring huge models with millions of connections to a mobile phone, without losing processing speed and crucially — quality still remains.