Knowledge Mining
Leveraging AI and Blockchain for Advanced Multilingual Data Processing
The language industry is currently undergoing a transformative shift. As a language technology company that likes to think of ourselves as being at the forefront of this evolution, we have leveraged a combination of advanced artificial intelligence (AI) and blockchain technology from the very start.
In this article, we talk to Jaromir Dzialo, co-founder and Chief Technology Officer at Exfluency, about our Knowledge Mining solution and the impact we hope to make on how multilingual data, business intelligence, and confidential data are combined and leveraged in the 2020s.
The Exfluency ecosystem
At the heart of Exfluency’s offering is a robust ecosystem that integrates Privacy by Design principles, advanced artificial intelligence, and blockchain technology. This ecosystem is designed to provide localization faster, more transparently, and of equal or better quality than traditional methods.
Moreover, our technology has made it possible to achieve this at a competitive price point, making it a scalable and secure alternative to existing models. In truth, the system is more efficient the more data it processes, making our system the obvious choice for global enterprises and multinational corporations (MNCs).
Extracting value from data
The breakthrough in Large Language Models (LLMs) in late 2022 opened new avenues for language and data harvesting solutions. While our system has been geared to process vast amounts of lingual data from the beginning, the advent of generative AI (genAI) has proven opportune. As Jaromir notes, “The Exfluency ecosystem already processes vast amounts of text data – primarily for translation. By implementing Knowledge Mining [genAI, red.], clients can now access and utilise the knowledge embedded in their translation data, enhancing its value beyond just translation.”
In other words, our genAI solution enables our clients to extract and leverage all the valuable insights previously hidden within their gigabytes of multilingual data.
Big data vs client-specific data
LLMs deservedly get a bad rep when it comes to their accuracy. So far, LLMs have suffered from hallucinations and a ‘rubbish in, rubbish out’ dilemma: if what we input isn’t any good, how/why would the output be any better? Owing to the vast amounts of more or less irrelevant information that ChatGPT and other open LLMs are built on, they output answers that are, at best, generic. However, in the worst-case scenario, you end up with a hallucinatory answer, something factually wrong that sounds right because it is written in a believable way.
Client-specific data
Unlike generic LLMs, which are built on as much general knowledge as possible but lack access to proprietary data, our client-specific LLM solution, Knowledge Mining, utilises up-to-date, multilingual client data. In other words, our model is not built on general knowledge, but knowledge from within your company, relevant to your business only. This ensures relevance and accuracy.
Everything our system outputs has clear sources that are displayed directly in the Knowledge Mining window. In other words, our solution cannot lie, and it is quite simply unable to hallucinate.
Ethics and data security
Ethics and data security are paramount in Exfluency’s operations. Our solutions are built on a foundation of Privacy by Design, with automated European GDPR (General Data Protection Regulation) and CCPA (California Consumer Privacy Act) compliance, anonymization, and protection of confidential data. Our use of AI, blockchain, machine learning, peer-to-peer, and a monolingual editor designed for subject matter experts enables it to deliver high-quality, affordable, and, not least, secure language solutions.
“We respect data privacy by not using client data to train third-party LLMs,” ads Jaromir.
In other words, we ensure client data remains confidential and is never shared with third-party entities. Additionally, blockchain technology provides an immutable audit trail, which guarantees complete data integrity and transparency.
Practical applications and benefits
The practical applications of Exfluency’s Knowledge Mining solutions are vast.
“Our Knowledge Mining solutions are multilingual and support a broader range of languages than generic LLMs,” says Jaromir. For instance, a Danish company using the Exfluency ecosystem to translate contracts from German to English can leverage the app to query specific contract terms directly in their native language, receiving accurate and contextually relevant responses.
As Jaromir puts it, “We go beyond just translation solutions by giving users access to knowledge stored in their own data.”
And the benefits are clear.
Superb metadata: The key to effective content management and retrieval
Have you ever struggled to find the correct information in a sea of data? That’s where metadata comes in.
Metadata is like a label that helps us understand what a piece of content is about, making it easier to find and use. Exfluency’s Knowledge Mining app uses artificial intelligence and natural language processing to extract and categorise relevant information from linguistic assets, creating superb metadata.
This means that organisations can efficiently manage their linguistic assets and make the most of their valuable data.
Enhanced sentiment analysis: Gaining valuable insights from linguistic assets
But what about understanding the emotions behind the words? Sentiment analysis is a powerful tool that helps businesses understand customer opinions, market trends, and competitor strategies.
Exfluency’s Knowledge Mining app can analyse sentiment in linguistic assets, providing valuable insights into how people feel about a particular topic. By leveraging AI and NLP techniques, the app can accurately identify and categorise emotions expressed in linguistic assets, helping businesses make more informed decisions and improve customer experience.
Streamlined knowledge management: Improving collaboration and reducing redundancy
Exfluency’s Knowledge Mining app provides a centralised platform for managing and accessing these assets. When you have access to all your knowledge in one place, it’s easier to collaborate on cross-sectional projects, reduce redundancy, and make more informed decisions. By streamlining knowledge management, organisations can better utilise their linguistic assets and drive growth.
With Exfluency’s Knowledge Mining app, businesses can unlock the full potential of their data and make informed decisions to stay ahead in the game.
Real-World Examples: Leveraging Knowledge Mining
The Exfluency Knowledge Mining app has been successfully tested across a range of industries, including finance, healthcare, and manufacturing. To illustrate the practical applications and benefits of Knowledge Mining, consider the following examples:
- A financial services firm leverages the app's sentiment analysis capabilities to monitor market trends and competitor activity, enabling it to make more informed investment decisions and stay ahead of the competition.
- A pharmaceutical company uses the app to analyse customer feedback on a new medication, identifying common concerns and areas for improvement. This information is then used to refine the product and develop targeted marketing strategies.
- A global manufacturing company uses the Exfluency Knowledge Mining app to streamline their knowledge management processes, ensuring that its multilingual teams have access to the most up-to-date and relevant information.
Poised to play a pivotal role
Exfluency’s Knowledge Mining app represents a significant leap forward in the language industry. By leveraging the power of linguistic assets, the app enables businesses to improve metadata generation, enhance sentiment analysis, perform fit-for-purpose translations, and streamline knowledge management. As the demand for AI-driven language solutions continues to grow, the Exfluency ecosystem, and the Knowledge Mining app in particular, are poised to play a pivotal role in shaping the future of this rapidly evolving industry.
However, as Jaromir aptly summarises, “Generative AI, LLMs, and Knowledge Mining are emerging fields for everyone. Clients may not yet realise the full potential of Knowledge Mining for their needs, and we might not fully understand their domain-specific requirements. Close collaboration is essential to develop effective solutions.”
We look forward to collaborating with you and your organisation. Please read more about our language tech solutions, and feel free to contact us if you have any questions. We are more than happy to demo our existing solutions or discuss future collaborations and development projects.
