Blog - deepsense.ai

Elasticsearch’s DevOps head start. Part 1. Operating system.

August 25, 2021/in Elasticsearch /by Karol Bartnik

This post discusses choices DevOps faces in a fresh project, which can take advantage of the newest version of Elasticsearch (7.14) and how to grow such a cluster from PoC up to a fully fledged production cluster.

Logo detection in sports sponsorship

August 3, 2021/in Machine learning /by Michał Tadeusiak and Krzysztof Dziedzic

With machine learning-powered tools, brands can evaluate a campaign’s ROI by analyzing video coverage of sponsored events. Thanks to computer vision solutions, it is possible to precisely determine the time and place a brand was positioned during a sporting event.

deepsense.ai for AI Trends about successful enterprise AI implementation

July 12, 2021/in Artificial Intelligence /by deepsense.ai

Read deepsense.ai’s article for AI Trends about leveraging the full potential of enterprise AI.

deepsense.ai for MIT Sloan Management Review about AI in platform businesses

June 22, 2021/in Artificial Intelligence /by deepsense.ai

Read deepsense.ai’s article for MIT Sloan Management Review about artificial intelligence as the key to building customer loyalty in platform businesses.

Paramount factors in successful machine learning projects. Part 1/2.

May 21, 2021/in Machine learning /by Robert Bogucki

Much has been said about the effective running of machine learning projects. However, the topic keeps coming up. It is vital to remember that the purpose of ML projects is not modeling itself, but achieving defined business goals.

AI-based applications in the insurance industry

May 17, 2021/in Artificial Intelligence /by deepsense.ai

As predicted by McKinsey experts, the technological revolution in the insurance industry has already started, and its progressive development will lead to a massive technological shift over the next decade.

Using machine learning in credit risk modelling

May 5, 2021/in Data science, Machine learning /by deepsense.ai

Cost of risk is one of the biggest components in banks’ cost structure. Thus, even a slight improvement in credit risk modelling can translate in huge savings. That’s why machine learning is often implemented in this area.

5 ways how AI can improve your demand forecasting

March 15, 2021/in Artificial Intelligence /by deepsense.ai

Download the guide and learn how deepsense.ai can leverage the accuracy of your organization’s demand forecasting.

Machine learning for applications in retail and manufacturing

February 25, 2021/in Machine learning /by deepsense.ai

The concept of machine learning is derived from advanced data analysis of pattern and dependency recognition. ML assumes that when models analyze new data, they can adapt independently and use this new knowledge to develop by learning from previous experiences. Machine learning models can enhance nearly every aspect of a business, from marketing and sales to maintenance.