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.
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.
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.
What is ChatGPT’s biggest problem? Most people who’ve ever used it would say it is the inaccuracy in its responses and made-up facts. The thing is that ChatGPT will never admit that it doesn’t have an answer for you - it will compose something very far from the truth just to give you an answer.
