The process of monitoring an ecosystem is considerably enhanced by the use of artificial intelligence components to boost productivity and capacity. The tools below work in specific ways, being used at different stages of the monitoring process. However, these tools are increasingly integrated and interconnected. This is particularly true of search assistants, which can combine several AI technologies.
Virtual clones
Emerging technologies such as HeyGen simply create virtual clones for multilingual interaction. Everyone can express themselves in their native language, while being understood by all, thanks to precise real-time translation.
Research assistants
AI chatbots or virtual research assistants, based on external tools (such as OpenAI or France’s Mistral) or in-house tools, enable quick answers to questions by exploring information resources specific to a subject, sector or market.
Predictive analysis
Machine learning and predictive analytics algorithms can process a wide range of data – market trends, consumer behavior, competitor activity, world events – to predict market developments.
Image analysis
AI-based image recognition and analysis can be used to extract information from visuals and images, while generating royalty-free images, making it easier to communicate and understand data.
Text classification and structuring
Extracts and categorizes named entities such as companies, people or cities from unstructured documents. AI transforms raw text into structured, usable databases, facilitating more complex and accurate analyses.
Impact, sentiment and risk analysis
Generates potential impact analyses, helping to anticipate market changes and assess risks and opportunities. For example, AI makes it easier to assess consumers’ opinions and feelings about competitors.
Task automation
Automate repetitive tasks, such as website and social media monitoring. This automation saves considerable time, enabling watchkeepers to concentrate on higher value-added tasks.
Automatic translation
Language barriers are coming down with machine translation systems that understand context and sentence structure, making global competitive intelligence more accessible and effective.
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