About Me
Analytics
Artificial Intelligence
Big Data
Data Analytics
About Me
Analytics
Artificial Intelligence
Big Data
Data Analytics
Internet of Things (IoT) and its impact on the Telecommunications Industry
Predicted Australian Population : An Expert View
Election 2010 : July 24th 2010
An Overview on the Overseas Immigrants in Australia
Analytics : Most bastardised word in the industry today
There are things we know we don’t know and there...
BlockChain Explained
Understanding Regression Analysis
PREDICTING AND USING CUSTOMER LIFETIME VALUE TO IMPROVE PROFITABILITY
Customer Segmentation: Think Beyond What You Can See
Explaining Correlation and Linear Regression
Why Is Customer Profitability Measurement In Banking Today So Badly...
Advanced Analytics for Small Businesses
Big Data : A Different Perspective (3Vs or 4Vs)
Image Recognition: A peek into the future
Hidden Patterns in Departmental Retail Sales in Australia: Secret Unleashed
Data Science Success Stories: How these companies have become successful...
Customer Segmentation – An Explaination
Cognitive Taxi! Coming to your town, Very Soon……
Rules of a High-Impact Loyalty Strategy
How does Analytics work???
Net Promoter Score: How to Calculate Your NPS
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About Me
Shailendra is a thought-leader and visionary in the cognitive and analytics space. With the sole motto of making money out of data, he has helped multiple organisations across the globe to generate incremental revenue or optimise cost using machine learning and advanced analytics techniques.
Popular Posts
Predicting the Stock Price using other Stocks
Insurance: Auto Menace Settlement- The Cognitive and Deep Learning Way
Customer Loyalty: It all counts!!!
Cognitive Taxi! Coming to your town, Very Soon……
Cognitive Travel: Transforming the Airline Industry and your Travelling Experience
Recent Posts
Internet of Things (IoT) and its impact on the Telecommunications Industry
Internet of Things (IoT): Transforming Energy & Utilities Sector
BlockChain Explained
Data Science Success Stories: How these companies have become successful using Data Science
Practical UseCases of Deep Learning Techniques… Part II
