Co.dx, our proprietary AI/ML master engine lies at the heart of most of our solutions and Minerva, the platform’s integrated chatbot has been an important part of the platform for a few years now. At MathCo, we believe that a big part of humanizing solutions and products lies in how you interact with it.  Minerva was built with the goal of humanizing user touchpoints so that it felt less like a chatbot but more like a virtual data scientist helping you save time and effort to work towards your and your organization’s goals. It has done that and more for a while now but with generative AI taking the spotlight, what is the future for Minerva?

To see what the future holds for Minerva, we first have to understand what makes it unique in the first place. Co.dx launched Minerva with natural language processing (NLP) capabilities that would help it understand human speech and context better. Users can ask questions in natural language and get appropriate responses in the form of charts, data summaries, etc. But apart from these, Minerva has some key features that make it more than a simple ask-and-answer interface:
 

• Built with NLP: Ask questions about your data in natural language. Behind the scenes, Minerva uses natural language processing to translate user question into an SQL query. 
   
• Visualization on demand: A curated list of data visualizations that help you answer your question. As a user, you have flexibility to choose your visualizations.
   
• Data Stories: Add your on-demand analysis and queries into Data Stories, Co.dx’s reporting module. Schedule and automate reports created using Data Stories.
   
• Flexible: Ability to customize and contextualize metrics and user questions based on the problem statement and business use case.

 

 

How Generative AI empowers Minerva

Minerva has played an important part within the Co.dx ecosystem over multiple years and that is thanks to regular updates to make sure it never feels outdated. One update that adds a new dimension to the tool, however, is the integration of Generative AI and Large Language Models (LLM). But how exactly does this integartion enhance an already existing competent chatbot? Read below to learn how:

1. Translating queries to SQL:

Due to the advanced LLM being trained extensively over the internet, Minerva can now translate natural language into SQL queries at an even better capacity, cutting down on time and effort required and allowing for more complex queries to be processed. 

Disclaimer: Images are representative and are not based on real-world data

2. Data Summarization:

Automated data summaries and insights to quickly draw insights from your data. Supplement auto-generated graphs and visuals with relevant statistical and problem-specific summaries and insights.

Disclaimer: Images are representative and are not based on real-world data

3. Visualization and Contextualization:

Through the integration, Minerva is developing the ability to generate insights and summarizations based on generated charts and visuals. For example, previously, if you had asked for “sales across countries in 2020” for a particular brand, a color-coded map would have been visualized for you. Now, additional insights such as value or percentage of sales in the highest and lowest sales regions may also be presented alongside for better context. Not only would it provide  more context and information but also complement Minerva’s VDE to make it more effective. 

    Disclaimer: Images are representative and are not based on real-world data

4. Query unstructured knowledge base:

Minerva now has the ability to query the unstructured knowledge that exists in an organization in the form of PDFs, documents, presentations, etc. This unstructured data can be used to enhance the context and knowledge of a base LLM.

Disclaimer: Images are representative and are not based on real-world data

 

For users and clients, this would not change the way they engage with the tool but only enhance existing features. Minerva has been helping CXOs and product teams alike in enabling quick turnarounds and automating work to a large extent. Its integration with an LLM takes it to the next level to lead the way in a world learning to live and work with generative AI. 

Interested in learning how you can integrate generative AI into your own functions? Join our generative AI workshop to learn how you can elevate your business processes with AI.

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