Gain Valuable Insights into Recommender Systems, HIPAA Compliance, Jira Workflows, and more with our April Newsletter!
Recommender system using machine learning
In today’s world, recommender systems have become essential. They have made our lives easier and more comfortable by suggesting books, movies, songs, and what to buy next.
A machine learning-based recommendation system uses algorithms to analyze user data and behavior in order to suggest relevant items or content to the user. These systems can be categorized as either content-based or collaborative filtering. The first type focuses on item features, while the second type utilizes user similarities for recommendations.
In this article, we will delve deeper into recommendation systems, their strengths, and weaknesses. What’s important is that we discuss our personal experience of working with them.
Jira workflow for software development
This article will give you valuable and practical information on how to build an efficient project workflow. You will find answers to the following questions:
- What is the project workflow in Jira?
- What elements are necessary for building the workflow in Jira?
- What are common mistakes and best practices in building Jira workflow?
- How to adapt Jira workflows for any department?
- What are Mad Devs’ approaches for building Jira workflow?
HIPAA compliance on cloud infrastructure
Our CIO & CTO, Andrew Sapozhnikov, will try to understand HIPAA and how we can comply with this standard in the software and infrastructure scope. While HIPAA is a well-established standard, its technical requirements can be unclear in some areas, and implementation may vary from project to project.
Digital twins in medicine
The article discusses the concept of digital twins and their potential application in medicine. Digital twins are virtual replicas of physical objects or processes that can be used in medical imaging, drug development, and surgery planning. You can find real-world examples inside the article. The challenges and limitations of using digital twins in medicine are discussed, including the need for accurate data and the difficulty of integrating multiple data sources.
Overall, the article highlights the potential benefits of using digital twins in medicine and encourages further research and development.
Mad Devs case study: optimization for Veeqo
Veeqo is an inventory and shipping e-commerce platform. It helps businesses manage sales across multiple channels, ship items via multiple carriers, process refunds, control B2B orders, and forecast inventory. The list of features is almost endless. The platform integrates directly with the world’s most popular retail applications, including e-commerce services, marketplaces, shipping carriers, POS systems, and more.
The role of DevOps specialists is to bring order and predictability to the development process by removing bottlenecks, simplifying delivery, and automating as many processes as possible. The goal is to turn the development of features into a smoothly running conveyor belt.
When our DevOps team joined the Veeqo project, we began sorting out existing blockages in the development process and prioritized those that affected Veeqo’s users and the client’s business the most.
Mad Devs’ trusted sources:
BCG: Generative AI is under growing scrutiny. Here’s what that means.
The focus on artificial general intelligence is diverting attention from the actual risks posed by generative AI today.
McKinsey report: The State of Organizations 2023: Ten shifts transforming organizations
Organizations today face ten significant shifts. Here’s what they are and what to do about them.
Enji — TeamLead, who never sleeps
Our product helps teams effectively achieve key goals in software development. Enji provides a comprehensive project overview using all the data it collects and is always up-to-date.
Enji and all its rich functionality are free for all Mad Devs customers. If you aren’t a Mad Devs customer but you have interested in Enji, we are ready to provide you with a free trial period of 6 months.
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