Digest #15: July 2023

What incident management metrics are, how supervised learning works, and our new expanded services in the July recap!

July recap: top articles from our blog

Incident Management Metrics Guide

Incident Management Metrics Guide

If you want to improve the reliability of your systems, then you need to track incident management metrics. These metrics can help you measure the reliability of your plans and products, identify areas for improvement, and make data-driven decisions.

This article discusses four key incident management metrics: MTBF, MTTR, MTTA, and MTTF. We will explain how these metrics are calculated and applied and provide real-world examples of how they have been used to improve incident response.

  • Created: Jul 05, 2023
  • 17 min read
Learn more
Semi-Supervised Learning

Semi-Supervised Learning

Artificial intelligence has made remarkable progress, resembling the futuristic depictions of science fiction writers. At the core of these great capabilities lie diverse machine learning algorithms, each adept at processing data based on their unique training models.

In this article, we delve into the fascinating world of semi-supervised learning. We explore its inner workings, the problems it addresses, and the opportunities it unlocks. Before delving into the specifics, we need briefly revisit the distinctions between supervised and unsupervised learning.

  • Created: Jul 13, 2023
  • 16 min read
Learn more
Top Data Quality Management Tools

Top Data Quality Management Tools

Today, data plays a crucial role in shaping organizations’ decisions, driving their business strategies, and enhancing customer experiences. However, data’s ever-growing volume, speed, and diversity create challenges in ensuring its accuracy and dependability. This is where data quality management comes into the picture, providing structured processes and tools to evaluate, enhance, and maintain data quality throughout its entire lifecycle. This encompasses various activities, such as data validation, profiling, cleansing, enrichment, and governance.

Within this article, we will delve into the significance of data quality management and explore the methods and tools it employs. By giving priority to data quality, organizations can gain a competitive edge, make well-informed decisions, and enhance overall business outcomes, thereby unlocking the full potential of their valuable data assets. Emphasizing data quality is a strategic move that empowers businesses to leverage data in today’s data-driven world effectively.

  • Created: Jul 21, 2023
  • 17 min read
Learn more

Discover our expanded services

Elevate your business with world-class custom software development services offered by Mad Devs. Our expertise ensures your product meets and exceeds expectations, delivering a seamless and efficient user experience. Whether you're looking to enhance the efficiency and performance of your product or create tailored tech solutions, our team is here to deliver.

In addition to technological prowess, we understand the paramount significance of human resources in the tech industry. That's why we also provide HR consulting services aimed at helping you attract, nurture, and empower skilled professionals. By optimizing HR procedures and establishing transparent workflows, our specialists contribute to the growth and success of your tech company, ensuring a holistic approach to your business's prosperity.


Mad Devs’ trusted sources:

McKinsey: In the face of volatility, CFOs and their organizations adapt

McKinsey’s newest survey of CFOs finds that finance leaders plan to keep their organizations moving forward despite their growing concern over volatility and inflation.

Managing Risk for the Next Wave of Digital Currencies

The digital currency marketplace has been in turmoil since the current “crypto winter” began in mid-2022. Holdings have been breached, fraudulent and illicit schemes have been revealed, and digital currency offerings have lost value, making the risks more evident.