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Prediction and forecasting are critical in every aspect of life. Students attempt to predict the weightage a particular topic might accrue in examinations. Businesses forecast customer demand in response to…

As the universe of technology continues to expand, the forms and numbers of cyber threats are also increasing. With the increase in attack surface and threat types, cyber-attacks have also…

Fraudulent insurance claims can often cost companies millions of dollars. Insurance-based frauds are rife and mostly happen in healthcare, automotive and property sectors. Insurance companies are always locked in an…

Big Data, Data Analytics, Predictive Analytics, Data Mining and Fuzzy Logic – These are the buzzwords of the 21st-century! As the staggering amount of data being generated and collected increases…

In this information-driven era, every organization is leveraging data emanating from multiple sources. Some extract deep insights through analytics, while others teach machines to work unescorted using supplied data. Have…

Graphics Processing Units (GPUs) play a crucial role in deep learning, as they are designed to perform complex mathematical calculations necessary for training deep neural networks. Compared to traditional Central…

Artificial Intelligence (AI) has permeated just about every aspect of industrial production and financial product/ operations management. Organizations now leverage the near-omniscient power of AI to make very accurate, timely…

Whether you’re a Machine Learning Engineer or a Data Scientist – you cannot deny the significance and pressing necessity for sieving large datasets in training a ML model. But as…

Manufacturing, Education, Transportation, Logistics – name any industry today and it can be reasonably demonstrated to have experienced a remarkable leap in productivity stemming from the influx of data analysis…

Fraud detection and prevention are critical for any business, especially in the financial services industry. A study estimates that fraud costs organizations $600 billion each year, which is why it’s…