In this digital era, the demand for mobile apps is increasing continuously. As a business owner, launching user-centric apps has become more than necessary to expand the global reach. But the real challenge begins just after the launch. Yes, we are talking about app maintenance and support. Many companies are unable to perform it correctly or face issues while including it in their mobile app development process. That’s why our experts have come up with this complete guide to help you achieve all your post-launch objectives in a hassle-free way. In this blog, we are going to discuss the ideal app maintenance process, security strategies you need to consider while approaching it, proven factors that define the overall cost to maintain apps, and much more. But first, let’s understand what is app support and maintenance in detail. All about Mobile App Maintenance and Support Mobile application maintenance is one of the most important app development stages where developers take the necessary steps to ensure that the app is bug-free. This stage primarily focuses on multiple aspects, which include fixing potential errors, improving existing features, updating functionalities, etc., to match the users’ expectations. Why is it Important? Users tend to immediately uninstall a particular app if they don’t like it or get a poor experience. But a good app support strategy can help you overcome this challenge seamlessly. Here’s what you can do with dedicated application maintenance services in place. 1 Complete App Monitoring Closely observing the component-level performance of your mobile app will become easy. The maintenance and support services will help you monitor hosting and third-party payment, server,...
Monitoring Production ML Model Inputs Practically and Efficiently in the Absence of Ground Truth Data Photo by Carlos Muza on Unsplash In real life ML monitoring applications, we want to detect whether or not a ML model is performing well or is breaking. Not picking up on poor model performance can translate into poor or even biased predictions that can lead to lost revenue and even PR fires that we see year over year from even the large tech companies, from facial recognition systems that fail to pick up on certain minorities to hate speech in autocomplete for search engines. In this article, we’ll go over a brief overview of how data drift thresholding helps capture poor model performance, and the majority of the post will focus on two versions of implementing automated data drift detection in production level ML monitoring systems. Overview Why do we need data drift? The standard approach to monitoring models is based on performance metrics, i.e. accuracy/precision/recall/f-score, over some time period or from batch to batch. In order to produce these metrics, we need both predictions and ground truth labels for the datapoints, e.g. a credit risk model predicts that a person will pay their loan on time in 1 year and thus should be approved for a credit card, and we know whether or not that person paid their loan on time in 1 year. Already, we have an issue because we do not know ground truth until 1 year later. In most production applications, there is a lag between prediction time and ground truth collection time, which significantly handicaps the ability to remediate model issues quickly. Leveraging...
Huawei Technologies Ghana has been commended for organizing Cyber Security Training for over 40,000 women as part of their Huawei Seeds for the Future Women in Tech program for 2021. The ICT giant received the commendation from the Deputy Minister of Communications and Digitalization, Hon. Ama Pomaa Boateng, during her Keynote Address of the African Union (AU) – Global Forum on Cyber Expertise (GFCE) Africa Cyber Experts (ACE) Community Kick-Off Meeting which is on the theme, Setting the Scene for Cybersecurity Status in Africa. The event is happening in Accra, Ghana from March 16 to 18, 2022. In her speech, the Honorable Minister praised Huawei for their outstanding contribution to increasing the Cyber Security awareness of Ghanaian Women. She said, “We are grateful to Huawei and MTN for partnering with the Ministry to train over 50,000 women in Cyber Security last year.” She added that she is confident that the efforts of private sector partners and the program of activities and sessions outlined for the ongoing AU-GFCE are relevant for Ghana’s Cyber Security mission and goals. Stating that such initiatives aside having the potential for creating jobs for men and women in Cyber Security, will also go a long way to ensure that the Ministry’s goals of ensuring that Cyber Space if safe for children, the public, business and government is achieved. Last year Huawei cooperated with the Ministry of Communications through the Ministry’s ‘Girls in ICT’ program to offer Digital skill training to thousands of women from the Junior High School level through to Tertiary and working professionals and traders to build their digital literacy and capability. Other...
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