Graph Analytics: Reasons Why More Businesses are Adopting It
Graph Analytics: Reasons Why More Businesses are Adopting It Studies show that between 2019 and 2020, a sizeable number of businesses adopted graph-related technologies. Indeed, one such report has predicted that the global graph analytics market size was expected to grow
Data Analytics for Small Business: Here’s Why SMEs Must Adopt It
Data Analytics for Small Business: Here’s Why SMEs Must Adopt It A new report based on a survey of small and medium-sized enterprises (SMEs) by the Singapore Institute of Technology and the Institute of Singapore Chartered Accountants has come as an eye-opener. The r
The Rise of Commercial Artificial Intelligence in BI
The Rise of Commercial Artificial Intelligence in BI Even as global businesses continue to embrace big data and data analytics, the challenge many faces is: how to derive the most value from the big data. The latter refers to very large sets of data that cannot be handled
Even A B2B Business Needs A Customer Data Platform
Even A B2B Business Needs A B2B Customer Data Platform Unlike a B2C company, a B2B company has companies and businesses, not individuals as customers. Not only that, a B2B enterprise has to deal with a lengthy and often intricate buying cycle involving multiple departmen
What is A Recommender System? A Primer
ML algorithms are used to run recommender systems, which filter information based on a customer's ratings or preferences. Recommendation engines are helpful in reducing the challenge of information overload in e-commerce. Amazon and Netflix were first to popularize recommender systems. However, you can now find recommendations in almost every corner of the digital world, from Facebook posts, Instagram stories, YouTube videos, to food delivery services and e-commerce sites. Today, more and more companies are able to develop and deploy recommender systems thanks to cost-effective and easily accessible software.
Building A Recommender System – A Primer : Part 2
Building A Recommender System In Machine Learning – A Primer : Part 2 In Part One of this post, you read about what is a recommender system in Machine Learning, the different classes, and the steps involved in building a recommendation engine. In this second and last post,
How to Find Outliers in Data using Machine Learning
How to Find Outliers in Data using Machine Learning No matter how careful you are during data collection, every data scientist has felt the frustration of finding outliers. An outlier is a data point that is noticeably different from the rest. They represent errors in mea
Remarketing: Strategically Targeting Your Customers
What is remarketing? Remarketing is how you connect with people who have earlier interacted with your Site or mobile app. Although the word is used interchangeably with retargeting, both denote different plans of action. Retargeting is a sub-discipline of remarketing that
How to Manage Dynamic Pricing in COVID-19
The COVID-19 pandemic and how it has affected business The COVID-19 pandemic has thrown the business world off of its’ axis. The virus has disrupted global productivity, manufacturing, service activities, and supply chains. How to manage dynamic pricing in COVID-19?