Data Blog by Lizeo
From millions of data points to actionable insights: Lizeo's AI-powered approach
- Digital Transformation
- By Stéphane Bonnevay and Tanguy Buland
In today’s digital age, businesses are faced with an unprecedented amount of data, and extracting valuable insights from this sea of information has become a pressing concern. Lizeo took the lead in harnessing the potential of Machine Learning back in 2009 to revolutionize text analytics and customer insight. Building on this expertise, Lizeo has leveraged Generative AI since 2020, including Large Language Models (LLMs) to develop cutting-edge solutions that are transforming the way businesses interact with their customers and make data-driven decisions.
Automated topic extraction and sentiment analysis
Lizeo initially built thousands of grammatical rules in different languages before transitioning to graphical models such as LDA (Latent Dirichlet Allocation) algorithms in 2017. In 2019, a Lizeo researcher began a PhD focused thesis on this topic, which was successfully defended in France in 2023. During this period as LLMs began emerging, Lizeo integrated them into their text analysis processes.
By integrating LLMs, such as Open AI’s GPT, Claude, Llama, MistralAI, DeepSeek, and others, Lizeo has overcome the limitations of traditional methods. These models are constantly tested and trained on large amounts of data, enabling them to learn from patterns and relationships that would be impossible for humans to discern.
One of the key applications of LLMs at Lizeo is automated topic extraction and sentiment analysis. By feeding large volumes of text data into these models, Lizeo can extract relevant topics, sentiment (positive, negative, or neutral), and emotions (anger, joy, disgust, etc.) from customer reviews, social media postings, and other sources of text data.
This approach enhances the accuracy and speed of the analysis, providing a more detailed market perspective.
Lizeo’s expertise and specialization
Lizeo takes the power of LLMs a step further by testing and fine-tuning these models internally (on our own machine with powerful GPUs), allowing the company to develop our own models specialized in specific industries and topics. This expertise enables Lizeo to deliver highly accurate and relevant insights that are tailored to the unique needs of its clients.
Lizeo also leverages open-source LLMs and enhances them with custom-built components, such as RAG (Retrieval Augmented Generation) or fine-tuning process, to create highly specialized models integrating:
- Specific databases
- Internal Lizeo documents related to the industries studied
Practical applications and benefits
So, how does Lizeo’s AI-powered applications benefit businesses?
- Improved Service Quality: Historically, we had developed our own text analysis algorithms (with our in-house researchers), but the LLMs have enabled us to significantly improve the quality of the results. By automating topic extraction and sentiment analysis, our clients can gain a deeper understanding of their customers, leading to improved service quality and customer satisfaction.
- Time Savings: AI also plays a key role in improving online data collection. Thanks to machine learning, we can better detect and understand the structure of sites and consumer reviews, which speeds up and improves data processing. AI-driven text analysis enables businesses to process large volumes of data quickly and accurately, freeing up resources for more strategic activities.
- Simplification of processing rules: In the past, some of our analyses were based on hundreds of thousands of manually defined rules. Today, AI is gradually replacing these rules by automating model learning and adaptation.
- Competitive Advantage: Lizeo’s expertise in AI-powered text analysis provides businesses with a competitive edge in their respective markets.
Case study: Image-based brand detection
Lizeo has developed significant expertise in prompt engineering, optimizing brand detection in images and enhancing various other AI-driven capabilities. For example, through computer vision and machine learning algorithms, Lizeo can extract brand information from images, allowing clients to verify their presence on specific websites or platforms. This technology has proven to be highly effective, with one notable example being the detection of a brand that was previously missed by OCR (Optical Character Recognition) technology.
Additionally, our expertise in prompt engineering strengthens our AI models in text analysis. It significantly improves accuracy in automated topic extraction, sentiment analysis, and contextual understanding. Therefore, this enables us to deliver deeper and more relevant insights across various business applications.
Overcoming Challenges and Future Perspectives
Lizeo continues to push the boundaries of AI text analytics. We are poised to transform the way businesses interact with their customers. Undeniably, the potential applications of this technology are vast. Fortunately, Lizeo is well-positioned to capitalise on this trend.
However, as with any emerging technology, there are challenges to address. Ensuring the accuracy and fairness of AI-driven models is crucial. It is equally important to mitigate the risks of bias and misinformation during development.
In conclusion, Lizeo’s advanced work in AI-powered text and image analysis has the potential to transform the business landscape. By harnessing the power of LLMs and developing proprietary models, Lizeo has created a scalable and accurate solution. This is highly effective for customer insights and text analysis. As the industry continues to evolve, Lizeo remains at the forefront of innovation. We are dedicated to delivering cutting-edge solutions that empower businesses to make data-driven decisions and drive growth.
Are you ready to unlock the full potential of AI-powered insights for your business? Contact us today to discover how Lizeo can help you make smarter, data-driven decisions!