Sports apps take up a big chunk of the entertainment app market. The sports app market alone is worth $3.6 billion. Quite a lot, isn’t it? It’s no wonder sports applications are making good money; after all, an average sports fan spends 50 minutes daily exclusively on sports mobile apps.
Many people are stuck in a vicious cycle: they are extremely stressed, but because of the constant daily worries and chores, they cannot find time for psychotherapy and mindfulness practices. In this case, online, self-guided meditations can be helpful.
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.
