Survival analytics is a powerful statistical technique used to estimate the time until an event of interest occurs, such as equipment failure, customer churn, or employee attrition. It has applications across multiple industries, including human resources, finance, manufacturing, and telecommunications. AIDOSOL has not only embraced survival analytics but also developed expertise that allows us to
The global attitude toward artificial intelligence (AI) is mixed and widely dependent on geographic, cultural, and socioeconomic factors. While some are excited and optimistic, some are quite worried, stressed out, and skeptical. AI is not new, in fact, the term “artificial intelligence” was coined in 1956. Due to the increased data volumes, advanced algorithms, and
In today’s digital age, data is the lifeblood of businesses, powering decision-making, enhancing customer experiences, and driving innovation. However, with the increasing reliance on data, the risks associated with it have also grown, particularly in the form of data breaches. These breaches not only expose sensitive information but also undermine trust in data analytics—a key
Introduction: Understanding Algorithmic Bias In the rapidly advancing world of artificial intelligence (AI) and machine learning (ML), algorithms play a critical role in decision-making processes across industries. From credit scoring and hiring practices to law enforcement and healthcare, algorithms are increasingly used to predict outcomes, assess risks, and guide significant decisions. However, a growing concern
Nowadays, the role of Responsible AI in Data-Driven Decision-Making is increasing, and many industries depend on it. Responsible AI ensures that the system is transparent without any biases and has a vital role in the Data-Driven Decision-Making process. It gives industries a deep understanding of their data and allows them to take the right decision
In the modern business landscape, data is often acknowledged as the new oil, just as oil has driven the industrial age, data is driving the digital era. However, raw data is good for nothing. It is the insights that derived from data that hold the true power, and you cannot draw the picture of insights