Conversational AI Chatbot Showcase

PandaDoc is an example of a chatbot use case exploited to its full potential. A company using this chatbot use case to great effect is Reply.io– a cold email automation tool. Here’s an example of the National Geographic chatbot use case engaging visitors through a quiz and getting them interested in their Almanac eBook, which they give participants at a 10% discount. AmTrak, a railroad service in U.S.A and Canada, has used this chatbot use case. In fact, you can ‘bake’ this function right into the chatbot’s chat window with an option clearly labeled ‘get a free refund’.

The chatbot allows us to do just this, providing a great mix of quantitative and qualitative insight and importantly, in an engaging format for survey participants, potentially fatigued by dry and often lengthy research surveys. Meanwhile, Elon Musk, the CEO of Tesla, has purchased high-quality computer chips and has hired AI experts to develop his own AI chatbot to compete with the successful ChatGPT. Musk’s plans for AI are not clear, but it is believed that he wants to use AI for automated content creation, searching or advertising. His plans come despite the concerns raised by some about the impact of AI on society and the workforce. Developments in the field of artificial intelligence (AI) have gained enormous momentum in recent years and are expected to have a profound impact on the way we work, live and organise ourselves as a society.

Benefits of Conversational AI —Some May Surprise You!

SAP is one of the companies that are using AI to automate processes such as procurement, supply chain management and financial reporting. AI has the potential to make things much simpler, for example, by taking over extremely repetitive conversational ai example tasks so that employees can focus on tasks that require creativity and critical thinking. As conversational artificial intelligence (AI) advances, it is able to sustain ever more human-like relationships with end users.

Although Bing AI still needs some improvements, it is becoming a crucial component of Microsoft’s efforts to stay relevant and competitive during this new wave of AI-based conversational chatbots. One of the primary conversational AI use cases is found in the IT sector and data security. IT companies are using chatbots as the primary interface of customer support services. These chatbots are programmed to address the fundamental issues faced by a customer and offer troubleshooting solutions. If the customer’s type of concern is of higher complexity, it gets forwarded to the IT support executive.

Agent-supporting AI assistants

This can vastly improve customer and employee experiences, but it also creates complex ethical and trust considerations. As EU AI regulation starts to take shape, Accenture’s new research identifies a practical approach for AI designers to identify and mitigate these issues in a more systematic way, as part of a broader responsible AI framework. As a Senior Data Scientist at Deutsche Telekom, Fang Xu specializes in AI technologies for Natural Language Processing https://www.metadialog.com/ (NLP). Having completed his Ph.D in the field, he brings extensive project experience to the table, having worked on a wide range of topics such as question answering, text ranking, and chatbots development. Most recently, he worked  on question answering systems for Telekom’s Magenta voice speaker and platform. He is not only involved in ideation and research, but also in bringing these ideas to life, taking them from early prototypes to scalable production.