In our modern era, technology is ubiquitous, making it almost impossible to escape its presence. But when it comes to business, which is better: data… Read More »Data Science vs Cloud Computing: Differences With Examples
From image recognition to autonomous vehicles to predictive analytics in healthcare, artificial intelligence (AI) applications are exploding today. Taking a conscious look at the methodology… Read More »An Overview of the Role Data Plays in AI Development
Announcements ChatGPT, The Overconfident Artist Two weeks ago, I wrote about the concepts of XAI, or explainable artificial intelligence. The basic concept is XAI is… Read More »DSC Weekly 18 April 2023 – ChatGPT, The Overconfident Artist
Procurement departments now have the opportunity to make more informed decisions than ever before, as technology and data analytics continue to advance. By analyzing data,… Read More »Data-Driven Procurement Strategies Best Practices
Data warehouses are at the heart of any organization’s technology ecosystem. The emergence of cloud technology has enabled data warehouses to offer capabilities such as… Read More »Why It’s Important to Change Misconceptions About Data Warehouse Technology
Three years after the outbreak of the COVID-19 pandemic, the lingering impacts of the viral outbreak and the risk of another deadly pathogen spreading around… Read More »How Informatics, ML, and AI Can Better Prepare the Healthcare Industry for the Next Global Pandemic
Over the years of working on commercial AI projects, I have come across various products and business domains that have adopted machine learning algorithms. This experience helped me form some best practices for selecting the right algorithms for different types of business tasks. In this article, I will share some valuable insights from my experience regarding how to work with them in the most efficient way to meet the client’s business needs.
Artificial Intelligence (AI) is sweeping the globe, leaving no stone unturned as it reshapes industries far and wide.
The healthcare sector is a complex ecosystem consisting of different stakeholders- patients, hospitals, physicians, healthcare staff, pharmacies, and laboratories. As one of the most restricted… Read More »Exploring the Benefits of Big Data Analytics in Healthcare
To excel in any career path, it is very important to continuously keep on upgrading with the required skills. And so is the case with… Read More »10 Must have skills for Senior Data Scientists in 2023
