The manufacturing business faces huge transformations nowadays. Due to rapid development of digital world and broad application of data science, various fields of human a...
Summary: Based on a McKinsey study we reported that 47% of companies had at least one AI/ML implementation in place. Looking back at the data and the dominance of RPA...
March Madness officially arrived at 6 PM CDT, Sunday 3/17/2019. 68 D1 schools — 32 league champions and 36 at large selections — received invitations to this ...
Can Lack of Data Always Provide Valuable Insights? Prashanth H Southekal and Matthew Joyce Today, data – both structured and unstructured, is seen as the most valuable ...
Introduction I spoke at the iot expo on AI and smart cities in London this week Smart cities have been around for more than a decade The overall numbers for Smart citie...
Determining sample sizes is a challenging undertaking. For simplicity, I’ve limited this picture to the one of the most common testing situation: testing for differ...
Offline marketing is far from dead The marketing communication industry has three main players: the brand, the agency and the media owner. The agency, who is typically th...
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlati...
Key topics of this blog: Economies of scalehave historically given large enterprises unsurmountable market advantages through the exploitation of mass production, distrib...
As of now, chatbots are among the most trending technology for which the industry is excited to get in integrated. They get touted as the next rendition of applications, ...