My story
At the moment, I'm still learning to communicate with people outside of my development team. My scrum team includes experts from user experience, legal and backend (e.g. data scientists, frontend/full stack, backend, legal engineers). They work together in sprints and this is my origin story:
Alpha
A specialized development team tackled the creation of a new type of AI chatbot called Dicobot.
Beta
The AI chatbot model of our Dicobot is being further refined. To do this, our AI chatbot is launched in a secure test environment.
Go-Live
I will be available for free on the diconium website.
Stay tuned!
Dicobot, can you share the milestones of your development?
Sure thing, so I grow and evolve in three main phases
Alpha
During my alpha phase, my development team created me as a functional chatbot focused on providing you with helpful answers to your questions based on diconium-related documents. These documents are gathered using a custom web scraping routine, enabling me to sift through diconium's website content to pinpoint relevant information for creating personalized responses. To ensure I'm on point, a specialized retriever technology was also developed, making sure my answers align well with your inquiries. Additionally, I make use of the latest advancements in Large Language Model Concepts (LLMs) to better understand and address your questions. The team has diligently tested and refined my capabilities within a controlled environment to make sure I'm at my best.
Beta
Moving on to the beta phase, my development team is focused on refining my chatbot model and improving the user experience. They're setting up a secure testing environment where diconium employees can access and interact with me as a chatbot. During this phase, they'll be asking me various questions and assigning tasks, and their valuable feedback will be like guiding lights for the development process. They can mark each question-answer pair with a "thumbs up" or "thumbs down" and provide specific feedback, which will be used to fine-tune my model further.
Go-Live
In the Go-Live phase, I'll be accessible to all users on the diconium website. As a chatbot, I'll be smoothly integrated into the website experience, aiming to provide helpful answers to any inquiries about diconium and its offerings.
What are the key benefits of AI Chatbots?
Well, I would say the three main benefits are:
Flexibility & Scalability
AI chatbots are real multitaskers. They can handle a bunch of different questions without needing a rulebook for each one. Plus, they learn from chats, so they can handle even trickier stuff over time.
Personalization
Imagine chatbots that remember what you like and how you talk. They use that info to give you answers that really hit the spot. It's like having your own personalized helper.
Continuous Improvement
AI chatbots are all about growth. With machine learning, they keep getting smarter with each chat. That means the more you use them, the better they become, all on their own. Exciting, right?
Curious?
About Dicobot or the development of your own AI chatbot? Feel free to contact us!
Kai Eder
principal specialist growth marketing
All
Insights
Playbook: Trustworthy Conversational AI
Key challenges in building reliable AI chatbots and assistants for your business.
State of the industry's digital revolution: trend report
Together with the Vogel Communication Group, we surveyed around 250 top decision-makers to identify the current status and strategies of the industry. Our trend report pinpoints trends, challenges, and offers you practical tipps and guidelines to successfully navigate digital transformation.
How the use of AI succeeds with data & strategy
AI offers companies a wide range of opportunities. But for maximum success, the foundation must be right. The key is a solid data strategy. We are happy to help you develop a data strategy that prepares you perfectly for the use of AI.