Why use AI in tandem with RPA to transform your business?
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September 08, 2023
"You can’t play a symphony alone; it takes an orchestra to play it." - Navjot Singh Sidhu
The popularity of artificial intelligence is on the rise, with the number of businesses using AI increasing by an astounding 300% in just 5 years. Additionally, robotic process automation (RPA) is revolutionising businesses, with 90% of large organisations worldwide adopting it in some form. Let us delve deeper, how these processes combine to create, or explore combining these processes to create an acceleration tool for companies.
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Tags: AI, Transformation
What is A/B Testing with an example
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November 30, 2019
The first time I heard about A/B Testing, I understood nothing and totally baffled! After going through multiple articles and a little bit of practical implementation, I've summarised the steps and prepared some notes. Would like to share the same with my friends, peers and LinkedIn contacts.
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Tags: Analytics, Customer Experience
Visualize Data With Tableau - Learn basics in an hour
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August 13, 2019
I still remember using Tableau for the first time and how amazed I was, with the drag and drop options. I personally like Tableau because of the intuitiveness, look & feel. The below content will help you get started with Tableau and touch up on few intermediate topics and very well suits novice learners. It's more like what capability does Tableau have and how intuitive it is! Also, this article is dedicated to all of my non-technical friends, peers and LinkedIn connections. So, let's get started! All the data used for demo is dummy and doesn't relate to any content online or any kind of industry.
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Tags: Analytics, Big Data
Uncover 8 V's of Big Data
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December 22, 2016
Big Data trends are changing day by day. While looking for some information over web, I discovered the Classification of Big data is not confined to four V's. I have briefly outlined about few more V's in the following article.
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Tags: Analytics, Big Data, Cybersecurity
Web Scraping & Sourcing Music data for Implementing a Data Warehouse using R-Studio
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December 15, 2016
Web Scraping is manageable when combined with R-Studio. I'm writing this post to aggregate different types of data extraction at one place. Different data sources were required to build the Data Warehouse. My intention was to analyse the trends of lyrics and their effect on different track analysis factors like danceability, valence, loudness, BPM etc based on Geography and recommend music to users as well as predicting the future event locations for Artists. Kickoff was to collect Music data from 1981-2015 which includes Top Artists, Tracks, Track Analysis, Lyrics, Geography of Artists & Users, Sentiment scores of Lyrics etc. Different data sources were used in the ETL. Here we go with a brief description of data sources and related simple R-Scripts for data science learners:
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Tags: Analytics, Big Data
