Data Lake or Data Warehouse
Information that has been meaningfully structured is referred to as data. It can be used to represent information that can help us make judgments, such as facts, statistics and other data. For organisations to make wise decisions, comprehend client demands and needs and monitor progress, data collecting is essential. When used properly, data can offer insights that […]
Role of Data Science in Insurance Domain
The amount of data that is produced every single moment is unimaginably large. The generated data is significant and has the potential to be usefully repurposed. Here is where data science is useful. Data science is the art of optimizing data so that enterprises may better understand their clients’ needs and expectations and take all […]
Customer Lifetime Value (CLV)
What is Customer Lifetime Value (CLV)? The total amount of money a single client spends with any company over the course of their engagement with their products is known as customer lifetime value or CLV. And it’s a crucial Key Performance Indicator (KPI) for insurance business entity to monitor. Simply said, customer lifetime value enables […]
Insurance Fraud Detecting
What is Insurance Fraud? Insurance fraud costs the economy with loss of huge money every year. Insurance fraud has really overtaken all other forms of identity theft and it increased by an astounding percentage during last decade all over the world. Nevertheless, the vast majority of insurance transactions are legitimate and not fraudulent. Because of […]
Insurance Lead Scoring With Aclysis
What is Lead Scoring? It is a procedure where you rate your leads according to their saleability. You can maximise the value of each lead that comes into your pipeline by using lead scoring. This mechanism aims to assist businesses comprehend why, how, and when to use lead scoring. You may ascertain a prospect’s current […]
Artificial Intelligence (AI) in Daily Life
Artificial Intelligence (AI) in daily life One of the technologies that has received the most attention recently is Artificial Intelligence(AI). We are all aware of how AI(Artificial Intelligence) has impacted various spheres of our lives. Data become a popular topic for a lot of IT companies, investors, and businesspeople who are looking for methods to leverage […]
Data Preparation Challenges in Machine Learning
Machine learning initiatives can be very difficult. The quality and quantity of data that needs to be processed, the complexity of the underlying algorithms, and the requirement for accuracy and dependability can all contribute to their difficulty. Additionally, the development and implementation of machine learning applications can be costly and time-consuming. Despite the fact that […]
Gradient Descent
The gradient descent technique is a popular optimization method (to find minimum error) in deep learning and machine learning. Gradient descent modifies the parameters in order to minimize specific functions. Backward propagation technique is used in deep learning whereas weights and biases are optimized in linear regression. A gradient calculates how much a function’s output […]
The Four Vs of Big Data
Consider the amount of data we produce in our daily activities in addition to our work. From social media posts to music playlists, doctor’s appointments to phone calls to the utility provider, online purchasing to online gaming etc. If you mix that with information from other people and organisations around the world, you will get […]
More About AutoML
Automated Machine Learning offers techniques and procedures to make Machine Learning accessible to those who are not specialists in it, to increase its effectiveness, and to quicken the pace of Machine Learning research. Basically, Automated machine learning (AutoML) automates and eliminates manual steps required to go from a data set to a predictive model. AutoML […]