Introducing gym management software is a must if you want to attract and keep clients. A gym booking system helps clients get or renew their memberships, choose a fitting pricing plan, sign up for group classes or personal training, and much more.
In this article, we’ll explore what predictive analytics in mobile apps is, how it works, key components like data collection and algorithms, common techniques, and practical use cases. Finally, we'll guide you on how to start incorporating AI-driven insights into your app.
Recipe apps can now suggest meal ideas based on the ingredients you have, your diet preferences, and more. With the power of AI, these apps can make the user experience even better, offering personalized recipe recommendations, scanning your fridge for ingredients, and much more.
Smart homes can become even smarter (excuse us this pun) with AI offering real-time data analytics, predictive maintenance, better energy management, and more.
Telemedicine that combines video or audio calling, text chat, and AI capabilities can be a great replacement for long drives and queuing to ask a couple of questions.
Introducing AI technology in the travel industry makes planning trips even easier: artificial intelligence can find the best prices, compose fast routes, and suggest activities based on the user's interests.
Artificial intelligence technology is the answer for many patients who cannot see a doctor due to financial, logistic, or socio-cultural reasons.
Have you ever wondered what it would be like if an app could analyze your dreams or predict your nutrition goals? Imagine waking up to an app that not only tracks your sleep patterns but also provides insights into your dreams, helping you better understand your subconscious mind.
This article explores the importance of the QA stage in mobile app development, explains the difference between testing and quality assurance, lists the necessary types of mobile QA, gives 5 tips to improve the QA process, and features a free mobile app testing checklist.
