Teams | Collaboration | Customer Service | Project Management

When we talk about Experience Management, we mean using data collected from customer interactions to understand their experiences with your business comprehensively. However, we tend to associate customers with an organization's end-users, leaving out another company touchpoint that should be cared for: employee experience (EX).

Thinking about the impact of artificial intelligence (AI) on the job market, are you on the apocalyptic or utopian side? Maybe something in between? In any case, one point is certain: artificial intelligence is becoming more and more developed. And the question still is, will AI replace jobs? The launch of ChatGPT has sparked several discussions, including the effect AI will have on employment. In some careers, it can improve efficiency.

Self-service is nothing new. We've all become accustomed to being able to serve ourselves in a variety of situations, such as when we're shopping or banking. And when it comes to IT, self-service is not only desirable but expected. To solve this need, all you need is a self-service portal, and the rest will come.

One of the most important factors of customer satisfaction is the quality of the interaction between service desk agents and users. At InvGate, we know this is key, and we’re developing new AI-powered response suggestions to empower agents’ capabilities further. Users expect empathic-written responses that solve their requests in the shortest period. Meanwhile, agents are required to solve hundreds of tickets every day, following defined best practices and according to SLAs.

Natural language processing (NLP) has come a long way over the past few years. With the development of powerful new models such as GPT-3 and BERT, it's now possible to create sophisticated applications that can understand and interact with human language. However, what went viral as a disruptive chatbot with ChatGPT, suddenly became a contest of language models to power AI content. So, we decided to oppose GPT-3 vs.

Everyone in the digital and tech space is hysterical about ChatGPT. It has recently been integrated into Microsoft Teams, media such as Buzzfeed is using OpenAI to partially create content, and Intercom is employing it to enhance products. We've already seen how ChatGPT can be a tool for IT support, and now we're about to discover how to use ChatGPT for customer service. If you want to take your clients' experience to the next level, using it to help employees out can be the smart thing to do.

If you're currently in any management position rather than project manager (PM), you might be tempted to think that you have nothing to do with it, that it's someone else's problem. However, PM skills are more necessary than you might think. But don't worry about having to read lots of books to acquire them; we're about to hand out a guide on project management for non-project managers! Solid management can help you meet your project goals and stay efficient and organized.

In today's world, conversational AI technology has become an indispensable tool for businesses and individuals alike. Several conversational AI platforms are available in the market, each with its unique set of features and capabilities. Two of the most popular and widely used platforms are ChatGPT and Jasper AI. In this blog post, we will take an in-depth look at these two platforms, compare their features and capabilities, and help you understand the pros and cons of each one.

Providing the best IT support is crucial to improve customer and employee experience, as well as optimizing your help desk agents' time to make the most out of the resources your organization has. The foundation of this is to implement the five levels of IT support. Wait, how come there are five of them?

ChatGPT took the world by storm at the end of January and revolutionized the use of Artificial Intelligence (AI) for creating content. But what is ChatGPT exactly? In a nutshell, it’s a conversational AI model developed by OpenAI, an AI research lab based on natural language processing (NLP) and deep learning. It is designed to provide users with an easy and intuitive way to interact with an AI system in natural language. Keep reading to discover what it can do, how it works, and how to use it.