Artificial Intelligence and automation
Artificial intelligence (AI) refers to a set of theories and techniques aimed at creating machines capable of simulating human intelligence.
Generative AI
Generative AIs are artificial intelligence systems capable of producing original content. They can therefore help us produce texts, images, sounds and music, videos or other types of media in response to specific requests.
They use models trained on very large quantities of data based on neural network architectures.
These systems are divided into two main categories:
- Unimodal : They only accept and create one type of data (for example, generate only text)
- Multimodal : They can process or generate several types of content (for example, receiving an image and describing it with text)
Conversational Agents (Chatbots)
Conversational agents, such as ChatGPT, Claude, Copilot or Gemini, use AI to interact with users in a natural way.
These advanced chatbots are often multimodal, able not only to dialogue with us, but also to analyze or generate images, code and more.
To achieve this versatility, a chatbot like ChatGPT will combine different specialized models, for example:
- A text generation model (e.g. GPT-4o)
- An image generation model (e.g. DALL-E 3)
Integration and automation
AI models are easily integrated into various applications and automations. This flexibility opens the door to many innovations and business process improvements.
Automation platforms (like Make, Zapier, n8n, Gumloop, etc.) make it possible to execute sets of tasks in various applications, and thus automate workflows.
They can be coupled with generative AI platforms. This allows you to integrate tasks such as data generation, classification, transformation, etc. into your work processes in an automated manner.
Benefits for businesses
The combination of automation tools and generative AI increases the possibilities for optimization in business flows, and brings numerous benefits:
Productivity increase
Generative AI and automation enable to:
- Accelerate processes: By automating repetitive tasks, you can focus on higher value-added activities
- Improve accuracy: AI systems reduce human errors, ensuring consistent quality in the tasks performed
- Facilitate decision-making: Advanced data analysis provides valuable insights for more informed decisions
- Optimize resources: Better allocation of human and material resources improves overall efficiency
Reduction of operational costs
These technologies contribute to cost reduction in several ways:
- Reduced manual labor hours: Automation reduces the time spent on repetitive tasks
- Process optimization: Combining AI and automation helps detect and resolve inefficiencies in your processes
- Error reduction: Fewer errors mean lower costs to correct
- Economies of scale: Automation allows you to handle larger volumes without a commensurate increase in costs
Uses of generative AI
The use cases for generative AI are vast and constantly evolving, promising to transform many aspects of our society and economy.
Text
Comprehension
Answering questions, reasoning…
Applications : Discuss with documents, break down complex tasks using logical thinking…
Generation
Create texts
Applications : Generate documents from requests (e.g. generation of documentation, technical, commercial documents, etc.)
Classification
Detection of intention, tone…
Applications : Classification of messages (type, urgency, etc.), discussion moderation (detection of hatred, harassment, violence, etc.)
Information extraction
Generation of keywords, concepts…
Applications : Categorization of documents to find them more easily or find similar documents
Transformation
Correction, simplification, reformulation, translation…
Applications : Translate your documents into all languages, rephrase using a different tone, summarize large documents…
Images
Comprehension
Answering questions
Applications : Chat and request information about an image
Generation
Create images from a prompt or another image
Applications : Generate illustrations for your documents or presentations
Classification
Add tags
Applications : Image classification
Information extraction
Retrieve information from an image
Applications : Content description, character recognition (OCR), fraud detection, moderation…
Transformation
Edit an existing image
Applications : Increase the resolution or detail of an image, reimagine an image, remove the background, extend an image, style transfer…
Voice & Sounds
Comprehension
Transcribe
Applications : Transcribe an audio recording (STT – Speech-To-Text)
Generation
Generate voices and sounds
Applications : Generation of voice from text (TTS – Text-To-Speech), generation of sound effects, generation of music…
Transformation
Edit a recording
Applications : Voice transformation, translation…
Videos
Generation
Generate video content
Applications : Video generation from prompt, from an image, from a video…
Generation (AVATAR)
Generate videos with avatars
Applications : Dynamic generation of videos with avatars including your data
Transformation
Edit a video
Applications : Video translation with voice cloning
Automation with AI use case
Automatic document translation
Thanks to a scenario in Make, it is possible to automatically translate documents. The texts will be translated not by a translation platform, but by an AI assistant (which gives better results…).
The scenario is as follows:
- The scenario is triggered when a new document is placed in a Google Drive directory
- The document is sent to an AI assistant
- The AI assistant extracts the text
- The AI assistant translates the text and sends it back to Make
- The content is put into a PDF file
- The new file is placed in another directory on Google Drive
Generative AI use case
Propozr is a platform generating proposals / commercial offers. It will analyze specifications or RFPs, and use them to generate the chapters of the proposals.
- Information extraction: Generation of keywords to classify the specifications and the type of project
- Text transformation: Summary of specifications and project overview
- Comprehension: Chat with specifications (ask your questions about the specifications)
- Generation: Generation of chapters, taking into account the context (the tone and information of your company) and instructions specific to each chapter
- Generation (Beta): Generation of videos with avatars to introduce the proposal (with personalized information)
