
Max Tatarchenko
2024-09-2710 min read
How to Create an Investment Platform

Today artificial intelligence is changing education by allowing teachers and students to learn & teach from anywhere, breaking away from traditional classroom settings. A global student survey in mid-2024 revealed that 86% use AI tools for schoolwork, with almost 25% using them daily.
Cybercriminals don't waste any time and the number of cyberattacks is growing every year. According to NordLayer, Amazon now tracks hundreds of millions more potential cyber threats daily. It went from 100 million to 750 million threats per day in just six or seven months.
Ever wondered how your phone knows what you mean by saying, “Where’s the nearest coffee shop?” Or how spam emails vanish from your inbox? That’s Natural Language Processing (NLP) in action.
In this article, we’ll unlock the secrets to crafting an AI assistant that can transform your workflow, boost efficiency, and help you deliver top-notch service around the clock.
According to Zendesk, 59% of consumers expect companies to use the information collected from them to improve the customer experience. This includes multiple industries like retail, banking, travel, and many others. AI for CX allows companies to learn more about customer preferences, assess their mood after interacting with a brand, or make communication with a chatbot more “human”. SapientPro’s engineers have developed multiple AI solutions and possess hands-on experience with all the benefits and pitfalls. In this article, we’ll share expert knowledge on how companies are using AI to enhance the customer experience, the most popular AI customer service problems, and AI customer service costs.
Businesses are all about automation now, using chatbots and voice assistants to do tasks that previously required people. Machine learning and natural language processing (NLP) have become essential. For example, Google Cloud's NLP platform uses Google machine learning to help users understand and gain insights from unstructured texts. According to a MarketsandMarkets report, the NLP market is expected to reach $68.1 billion by 2028, with Named Entity Recognition (NER) being a key driver of this growth. Since about 80–90% of all data is unorganized, tools like NER are necessary for finding meaningful information.
Talk to our experts to get an estimate and build a market-winning solution for your business.