AI-Assistant for Content Generation

In this tab, you can find all the relevant information for your submission and solution development.

How to submit

1. Submission template (mandatory): A standard template is available. The template will help you structure your solutions and approaches. Download the Submission Template here
2. Optional Content: You can try to stand out and also supplement your submission with prototypes, image and video materials, or other concepts or visual elements.

These questions should be answered as part of your concept:

• Provide a demonstration of your prototype e.g include examples of the generated content (e.g., a newsletter) and explain how your solution ensures high-quality, verifiable content with embedded references.
• What is your plan for implementation, the associated business model, and the cost analysis for your AI solution?
• Describe your expertise and experience. Why are you well-suited to develop and implement this AI solution together with DT IoT?

Key Guidelines and Specifications: 

The AI-Assistant should be build/ prototyped with the following criteria in mind:

1. Content Quality & cross-linking: Ensure high-quality, relevant content across various formats where cross-linking between different pieces of content is crucial to enhance interconnectivity and usability. Formats in use are e.g., newsletters, whitepapers, LinkedIn posts, blog posts, product pages, fact sheets, flyers, email templates, SEO-optimized content, and video scripts.
2. MVP Focus: The core of the MVP should focus on textual content and publicly available sources. The content format should be either a newsletter or a blog post, which can be used as the initial prototype as it combines content creation and cross-linking based on different sources.
3. Different distribution channels: In the long-run the tool should aim to deliver simultaneously optimized formatting for several distribution channels like Blog, Newsletter, Postings etc.
4. Data Synergy: The tool should be able to integrate public data (e.g., news articles, blog posts) with DT IoT’s internal data (e.g., product information, service descriptions) in the long-run/ second phase.
5. Language Support: The tool must support both German and English languages.
6. Web-Based Functionality: The tool should be web-based and able to function independently of other tools. It should be self-manageable by the marketing team.