Blogs

Business Intelligence Predictive Analytics

4 ways to enhance efficiency with a business intelligence solution

The mentioned tips not only improve the flow of operations, but also help enterprises optimize returns on their investment:

Artificial Intelligence Machine Learning

How can Artificial Intelligence help in cyber security?

Cyber Security has become a major concern for every enterprise. The role of Artificial Intelligence in Cyber Security is to provide power and speed to tackle huge volumes of attacks with countless variations.

Deep Learning

Google and Deep Learning : How are they using it?

The article explains 4 ways the tech giant is leveraging excessive benefits of Deep learning to solve complex problems and make accurate predictions:

Machine Learning

The 4 Ways Banks Are Using Machine Learning

Banks have always had a close relationship with Data. From back in the days of the crusades when banks first came into existence  by the Knight Templars , right to…

Advanced Analytics Big Data Predictive Analytics

Chief Data Officer : Why your firm needs one ?

Data has become more than just a buzzword — it is now the blood that runs through the veins of every organization, big or small. Raw data describes the facts…

Advanced Analytics Machine Learning Predictive Analytics

Credit Risk Scorecard Monitoring and Tracking

Nowadays, Retail Banks are more focused on finding or discriminating the right clients and the wrong ones (Defaulters). From a Credit Risk perspective, a Good Client will be a customer/applicant who has least chances to do default (a low-risk client) i.e. the applicant has low chances to perform default in his obligations. This detection process of identifying or separating a Good & bad applicant/client is where Credit Risk Scorecard comes into play.

Advanced Analytics Machine Learning

Introduction to Reinforcement Learning

Reinforcement Learning is a type of learning algorithm in which the machine takes decisions on what actions to take, given a certain situation/environment, so as to maximize a reward. The difference between supervised and reinforcement learning is the reward signal that simply tells whether the action (input) taken by the agent is good or bad. It doesn’t tell us anything about what is the best action.

Data Analysis Data Mining Data Modeling

Variable Reduction: An art as well as science

Variable reduction is a crucial step for accelerating model building without losing the potential predictive power of the data. With the advent of Big Data and sophisticated data mining techniques,…

Artificial Intelligence

Intel AI Day: Bits & Bytes

Intel organized its own version of AI day on 4th April. For those who couldn’t make it in person, the event was webcast live. Various Intel leaders spoke about the…