22 May
Key Challenges Data Scientists Face in Machine Learning projects
10 Key Challenges Data Scientists Face in Machine Learning projects AI-driven, powered by AI, transforming with AI/ML, etc., are some taglines we have heard far too often from the products we are being sold every day. Everyone is chasing after the promised land of machine learning but so few fully understand it. And that is
18 May
How Advanced Analytics Is Transforming Clinical Trials
How Advanced Analytics Is Transforming Clinical TrialsAmid the COVID-19 pandemic, the world is grappling to flatten the curve so that the healthcare resources aren’t stretched too thin. We aren’t just betting on social isolation and eventual herd immunity to manage these unprecedented times. Scientists worldwide are working round the clock to come up with cures
11 May
UiPath Vs Blue Prism: Comparison | Pros And Cons
UiPath Vs Blue Prism: Comparison | Pros And Cons UiPath and Blue Prism are some of the key players in the RPA market today. In Gartner’s Customer Choice for 2019, UiPath has been rated no. 1 for Robotic Process Automation and Blue Prism the third best. Although both UiPath and Blue Prism have cutting edge
15 Apr
The What, Why and How of Feature Engineering
The What, Why and How of Feature engineering Artificial intelligence and machine learning have pervaded every industry, yielding substantial returns to those invested in them. As Machine Learning technologies grow more powerful and proliferate, companies are taking it as their imperative to implement these technologies to gain a competitive edge. While machine learning involves training
02 Jan
Advanced Analytics For Insurance Industry: 6 Major Use Cases
Advanced Analytics For Insurance Industry: 6 Major Use Cases The insurance industry is a high-risk sector. Navigating through tricky claims procedures, pricing and promotion, mitigating risks, cash repression, natural perils, ensuring compliance are some of the toughest problems that pose the industry. Traditionally, Insurance companies have long been dependent on statistics and data to drive
27 Dec
How To Use Big Data For Improving Driver Safety
How To Use Big Data For Improving Driver Safety Road traffic accidents claim more than 1.25 million lives a year, which costs most countries about 3% of their GDP and remains the leading cause of death of people between the ages of 15 and 29, a report by World Health Organization (WHO) claims. The WHO has undertaken
