Peek into what we know best
Take a look around you and you’ll realize that we live in a relational world. You surf the web based on the connections between the different sites, you bring specific ingredients together to create savory meals, you get friends recommendations based on how their profile relates to yours. We continuously interact with relational databases. Everything is relational … shouldn’t your analysis also be?
The concept of integrality is crucial in data analytics as it ensures thorough analysis, accurate insights, and comprehensive decision-making. It helps researchers and analysts to avoid overlooking important data points and increases the reliability and accuracy of the analytical process. How confident are you that your analytical process is integral and not taking shortcuts or leaving rocks unturned in its logical path ?
In today's dynamic and data-centric business landscape, the ability to obtain quick insights is a competitive advantage that organizations cannot afford to overlook. But how good is it if you cannot explain how it was obtained?
Modern milestones in the artificial intelligence domain, led by IBM’s Watson defeating reigning Jeopardy! champions in 2011, Gameplay’s (now a subsidiary of Google) victory in Go against world champion Lee Sedol, to name a few, have our science-fiction fantasies running rampant. Snapping back to reality, the true capacity of today’s AI may need a closer eye for scrutiny.
Collecting data is definitely the trend these days, even more so that we are now taking about big data, data mining, machine learning, deep learning, etc. But not all data are made equal. Your data is only as good as the use you make of it ... and it comes at a cost.
We tackled here the question of whether RCA brings some effective scope extension to the realm of FCA, given that FCA is at its core.
To gain an in-depth understanding of human diseases, biologists typically mine patient data for relevant patterns.
Nowadays, the production of data is colossal. Although figures for the year 2020 are not yet available, a study by BSA, available on the Microsoft corporate website, states that already in 2016, 2.5×1030 bytes of data were generated every day, with an increasing trend.
Artificial intelligence, machine learning, deep learning, data mining... These terms are more and more omnipresent in our daily life but often used in a confused and imprecise manner. This blog aims to help non-specialists to navigate with more confidence in the terminology used in the field of Artificial Intelligence.