Problem statement
The Marketing Department of Deutsche Telekom IoT aims to automate the creation of relevant content with verifiable references to existing themes, products, and services. Currently, this process is manual and resource-intensive, involving significant internal and external costs.
Existing off-the-shelf solutions such as Chat GPT do not deliver satisfactory results, as they are not able to properly access existing information such as blog posts, website content, white papers, etc. and compile this information on a topic-based basis, including source references.
Your task
Develop an AI-driven prototype that automates the creation of marketing content based on credible public and internal sources.
* The solution must be capable of identifying existing knowledge, linking it appropriately, and embedding cross-references (links) in the created content.
* The solution should mimic the style of the respective channel
For the first submission you can focus on generating text-based content based on publicly available content for a Newsletter (see example: link to Newsletter)

In the long run the tool should aim to deliver simultaneously optimized formatting for several distribution channels like Blog, Postings etc.


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.

Input Data Examples:
1. Blog posts: https://iot.telekom.com/de/blog
2. Social media content: https://www.linkedin.com/company/deutschetelekom-iot/
3. News articles/Newslette: https://www.linkedin.com/newsletters/iot-insights-7052679394661736448/
4. Internal research and whitepapers: Will be provided after creating a participation and agreeing to the conditions of participation via a new tab (Confidential information)
5. Competitor analysis
6. Product information: https://iot.telekom.com/de/loesungen
7. Service descriptions
8. Industry reports
Output Outcomes Examples:
Prio for MVP
* Newsletters – click here
* Blog posts – click here
Further Content
* Whitepapers
* LinkedIn posts
* Product pages
* Fact sheets
* Flyers
* Email templates
* SEO-optimized content
* Video scripts