Topic: big data

The first fundamental of Artificial Intelligence is data, with the Machine Learning models that feed on the continuously growing collections of data of different types. However, as far as it is a very significant source of information, it can be fraught with problems such as privacy limitations, biases, and data scarcity. This is beneficial in removing the mentioned above hurdles to bring synthetic data as a revolutionary solution in the world of AI. What is Synthetic Data? Synthetic data ...

In the context of the increasing prominence of decisions based on big data, companies are perpetually looking for the best approaches to effectively utilize their data resources truly. Introduce the idea of Unified Data Fabric (UDF), a new and exciting proposition that provides a unified view of data and the surrounding ecosystem. In this blog, we will uncover what UDF is, its advantages and thinking why it is set out to transform the way companies work with data. What is Unified Data Fabric?...

Askia, can you share more about your role as Chief Growth Officer at DriveLine.ai and the key responsibilities associated with it? In my role as Chief Growth Officer, I wear several hats, all focused on one critical goal: driving revenue growth and expansion. Through a multi-pronged approach that leverages strategic partnerships, comprehensive growth strategies, I am responsible for propelling DriveLine to market leadership. My key responsibilities include the development of strategic part...

As we have entered the digital era, data and analytics strategies (D&A) have become important, as these technologies can transform any business during a massive data spike. According to global research, it was observed that around 2.5 quintillion bytes of data are produced by IT companies every day; therefore, to understand the importance of data, every employee must be data literate. For a better understanding of data, the Chief Data Officers (CDOs) play an important role in making every emp...

In the fast-growing digital world, deep learning (DL) and big data are highly used methods for data scientists. Numerous companies, such as Yahoo, Amazon, and Google, have maintained data in Exabytes, which helps generate large amounts of data with the help of big data analytics and deep learning tools and techniques. Earlier data scientists used traditional data processing techniques, which came with numerous challenges in processing large data sets. However, with technological advancements ...