HEAVY.AI, innovator in advanced analytics, has announced HeavyIQ, which brings Large Language Model (LLM) capabilities to the GPU-accelerated HEAVY.AI analytics platform, enabling organizations to interact with their data through conversational analytics. Users can easily explore their data with natural language questions and quickly generate advanced visualizations of that data. This streamlined process reduces the friction of traditional business analytics, allowing more users to quickly and effectively uncover insights.

With HeavyIQ, HEAVY.AI has taken an open-source LLM foundation model and extensively trained it to excel at core analytics tasks, including analyzing massive geospatial and temporal data sets. The technology employs the power of an LLM in conjunction with retrieval augmented generation (RAG) capabilities to take a user’s text input, automatically convert it into a SQL query, and can both visualize and return natural language summaries of results.

Key benefits:

• Accuracy: Trained with over 60,000 custom training pairs, HeavyIQ delivers groundbreaking accuracy. Benchmarks show HeavyIQ to be more accurate than GPT-4, with 90%+ accuracy on common text-to-SQL benchmarks, compared to 85% with GPT-4.
• Speed: Organizations can ask sophisticated questions against large, complex datasets and generate answers (and visualizations) in seconds. HeavyIQ leverages optimized and fine-tuned smaller models that take advantage of the latest NVIDIA GPU hardware innovations to deliver responses up to 10x faster than GPT-4. This allows for quicker iterations and speed-of-thought interaction with data.
• Verifiability: Users can see the generated SQL and verify for accuracy.
  Privacy & Security: A fully locally-hostable model means HeavyIQ can run in customers’ environment and even offline, guaranteeing complete control and sovereignty over sensitive data.

“In the past, most analytics solutions required users to write their own SQL queries or learn complex drag and drop interfaces that required dozens of clicks. They would also have to bring in engineering and operations teams to clean and load data. This was a cumbersome, slow process and it made it difficult for both seasoned data scientists and general business users to learn from their data,” said Todd Mostak, CTO and Co-Founder, HEAVY.AI. “HeavyIQ breaks down all those barriers, eliminating the need to manually build SQL queries and automatically generating rich visualizations. This allows organizations – including line of business users – to extract insights from their data and make better business decisions.”