AI in Production: the Final Frontier
Production is often viewed as the final frontier in the machine learning process. By now, your data scientists trained a model on your data, the machine learning and soft...
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7 ways IoT is impacting the eCommerce industry
Mr. Bill Gates, the founder of Microsoft, once put in “Information technology and business are becoming inextricably interwoven. I don’t think anybody can tal...
The Disappearing Data Scientist
1. THE DISAPPEARING DATA SCIENTIST BY KURT CAGLE MANAGING EDITOR DATA SCIENCE CENTRAL 2. THESIS: THE DATA SCIENTIST IS GOING AWAY. INSTEAD, DATA LITERACY IS BECOMING CRI...
The Product Management Process: 7 Important Stages for Startup
Every business once was a startup company. For every startup business, it is important to create a road map for the success of their product management process. The road ...
How FinTech App Development Benefits Your Business?
According to eMarketer.com analysis, by 2022, around 78% of the United States (US) millennial population will have digital banking users. China, India, the US, Japa...
How Is Machine Learning Used For Stock Market Prediction?
Machine Learning is an Artificial Intelligence (AI) application that allows devices to learn from their experiences and better themselves without the need for coding. For...
Top 7 Challenges in Scaling Agile
Scaling agile is the process of taking proven agile methods, like scrum and kanban, and using them with a more extensive diverse set of people in larger groups. Tradition...
Continuous data quality monitoring using AI and ML
In today’s world, we are doing more of the traditional data management practices. The process of connecting people, processes, and technologies by creating governan...
Tackling the Dimensionality Reduction Problem for Embedded Systems
New study successfully tackles the problem of dimensionality reduction in embedded systems. The reduced model can be implemented without loss of accuracy. Combining PO...
A minimum viable learning framework for self-learning AI (machine learning and deep learning)
AI is a complex subject and hard to learn Often, in the early stages, people make mistake such as a) They try to learn everything b) They do not know in which order...