What is generative AI?
Generative artificial intelligence refers to a form of AI that can independently create new content. This includes, for example, texts, images, music, videos or even program codes. In contrast to conventional AI, which specializes in the recognition or analysis of data, generative AI can produce creative results based on training data. It works with so-called models. These are trained AI systems, usually based on neural networks, that recognize patterns in large amounts of data and generate new content based on them. This technology is already being used in many areas, such as communication, marketing, product development and customer service. Its potential lies above all in accelerating processes, supporting creative tasks and enabling new approaches to solutions.
Generative AI in the corporate context
Generative AI in companies offers numerous opportunities to promote efficiency, creativity and innovation. It can create content such as texts, presentations, images or program codes independently and thus supports various specialist areas. Employees benefit from a noticeable reduction in routine tasks and gain more time for strategic or creative activities. Customer service inquiries can be answered automatically, content can be produced more quickly in marketing and new ideas can be visualized in product development. Generative AI is also a valuable tool for internal purposes such as protocols, reports or training. Its targeted use increases competitiveness and drives digital development within the company.
Introducing generative AI in the company
The introduction of generative AI in a company requires a clear strategy, technical understanding and an open corporate culture. First of all, specific areas of application should be identified in which generative AI can create tangible added value. These include, for example, internal communication, marketing, customer service or the analysis of large amounts of data. The next step is to select suitable tools and provide employees with targeted training on how to use the technology. Clear goals, rules and processes help to ensure data protection, quality and accountability. Through regular evaluation and further development, the integration can be successfully designed for the long term and the full potential of generative AI can be exploited.
Everything about generative AI in one template
Our PowerPoint template on generative AI provides you with an in-depth overview of how this pioneering technology works, its potential applications and the challenges it faces. Present the basics of generative AI and use practical examples and specific AI tools to illustrate how companies can benefit from its use. Promote your employees' understanding and create a solid knowledge base for well-founded decisions in day-to-day work. In addition, the template provides helpful tips for the successful introduction of generative AI in your company as well as an overview of possible challenges such as ethical issues, data protection and cyber security. Position yourself in a technologically forward-looking way and download the presentation today.
With this template for PowerPoint you can ...
- present generative AI professionally in your company.
- show the various application potentials of generative AI.
- position yourself as an expert in generative AI in front of your audience.
This PowerPoint template contains:
- Quote
- What is generative AI?
- Definition
- How can generative AI be categorized?
- The path to generative AI
- What can generative AI produce?
- How does generative AI work?
- Foundation models
- Two types of foundation models
- Multimodal AI
- What makes generative AI so special?
- Tools and platforms
- Overview of the most important tools
- Text tools
- ChatGPT, Claude, Notion AI
- Image tools
- Midjourney, Dall-E 3, Adobe Firefly
- Video tools
- Runway Gen-2, Sora, Synthesia
- Audio and music tools
- Suno, Elevenlabs, AudioCraft
- Code and Tech Tools
- GitHun Copilot, ChatGPT Code Interpreter, Replit AI
- All-rounder tools
- Gemini, DeepSeek R1, Microsoft Copilot
- Generative AI in various industries
- Marketing and advertising
- Sales and customer service
- Human Resources (HR)
- Consulting and strategy
- Education and e-learning
- Financial sector
- Industry and production
- Using generative AI in the company
- Advantages of generative AI in the company
- What tasks can generative AI automate?
- Examples of text generation
- Examples of image generation
- The role of Prompt Engineering
- 8 tips for good prompt development
- Rules for the safe use of generative AI in the company
- How is generative AI changing collaboration?
- Introducing generative AI in the company
- Structured introduction
- What is the best place to start?
- Introducing generative AI in five steps
- Is the company ready for generative AI?
- Reactions to the introduction of generative AI
- Involve employees in the introduction
- Competencies for AI application
- Regulating the use of generative AI
- Risks, ethics and legal framework
- What is AI ethics?
- Core ethical principles for generative AI
- Impact of generative AI on the environment
- Generative AI and cybersecurity problems
- Generative AI and data protection
- Artificial Intelligence Act (AI Act)
- Risk assessment of the AI Act
