Share this article
With organizations heavily relying on data to inform their business strategy, it’s not just the quantity of information that drives value — it’s the ability to identify and read it correctly. This means that for most industries, visual market data such as charts, tables, and infographics are fundamental to conveying insights. It presents information in a way that’s often richer and more nuanced than plain text. A well-constructed graph or table can reveal trends, patterns, and correlations at a glance, making complex information digestible and actionable. In fact, companies that use data visualization are 5 times more likely to make faster decisions and 3 times more likely to execute them.
Yet, for all its importance, visual data is often overlooked when AIs are reading and summarizing inforrmation. It largely remains hidden due to limitations in traditional data extraction methods, such as text-only processing methods. This oversight is costly, as it leads businesses to miss out on untapped critical insights — and results in incomplete analysis and limited decision-making power.
Simply put, businesses that ignore visual data are limited in their ability to make fully informed decisions.
Addressing the visual data gap with DeepSights™ and Gemini for Google Cloud
At Market Logic, we recognized this challenge early on and identified the pressing need for advanced solutions. Using our generative (gen) AI for insights platform DeepSights, we set out to change the way our clients access and utilize their data. By partnering with Google’s largest and most capable model Gemini, we’ve taken a transformative step forward in visual data extraction, offering a solution that captures the nuance of visual insights.
Adopting Gemini’s visual extraction capabilities within DeepSights has been a game changer for DeepSights users. It enables a new level of depth and accuracy in data processing, unlocking insights that would otherwise remain hidden.
The game-changing process of visual data extraction
The development of Vision Language Models (VLMs) has opened the door to an entirely new approach to data extraction. While traditional Optical Character Recognition (OCR) methods were constrained to handling text, VLMs like Gemini offer the capability to understand and extract information from images and visuals, capturing the essence of charts, infographics, and complex layouts.
After extensive testing of state-of-the-art models, we adopted Gemini 1.5 Flash, as it provided the ideal balance of quality, speed, and cost-effectiveness. Gemini’s powerful extraction capabilities are then enhanced by DeepSights, allowing us to tailor the technology to capture insights that are relevant and actionable.
DeepSights’ robust Retrieval Augmentation Generation (RAG) process positions the platform as an essential tool for developing and sharing market insights. Unlike generic gen AI tools, DeepSights’ RAG process converts documents and source content into vector embeddings, storing them in a vector database. When a question is asked, it is also embedded and matched to the most semantically similar information. Before generating a response, DeepSights uses a Large Language Model (LLM)-based filtration and re-ranking step to ensure only the most relevant evidence is used, reducing the risk of hallucinations.
Want to learn more about RAG, LLMs and more must-know gen AI tech terminology? Download our resource now.
The integration of Gemini further enhances DeepSights’ capabilities, empowering users to extract valuable information from visual formats and elements for deeper data-driven insights. It turns unstructured visual data into structured, meaningful insights that stakeholders across the business can rely on. DeepSights also fully embraces and extends the Office 365 environment, including Copilot — and by using the new API, DeepSights seamlessly integrates with any business application. This results in insights being far more comprehensive. By integrating visual extraction into DeepSights, the nuance captured from graphical elements leads to deeper understanding and actionable results for users.
Comparison: DeepSights answer with and without visual extraction
Key innovations driving DeepSights’ Gemini-powered solution
Our Gemini-based solution is rooted in a few key features including Chain-of-Thought (CoT) Multi-step Extraction, Extended output capacity and Faithful content extraction.
Download our solution overview paper to find out more about these differentiating aspects and how they work.
Building the future of visual data extraction
As data continues to play a critical role in informing business strategies across industries, the importance of robust extraction technology cannot be overstated. That’s why we have worked closely with Google Cloud to deliver a solution that harnesses the full potential of visual insights. By incorporating Gemini’s visual extraction capabilities on our platform DeepSights, we are elevating insights and business professional’s access to visual data, and empowering them to make decisions grounded in comprehensive, nuanced insights.
With users able to see a fuller picture — encompassing insights from both textual and graphical sources — this results in a more comprehensive analysis and, ultimately, more effective decision-making. This is more than just a technical upgrade — it’s a new way of looking at data, one that values every detail and leverages it to its fullest potential.
Ultimately, this shift to unlocking data-driven decision-making not only improves the quality of the information but also empowers organizations to make informed decisions with confidence.
Get started with DeepSights™
See DeepSights™ for yourself by contacting us to sign up for a free trial now. If you are interested in exploring the solution and add value to your insights, drop our team a line to schedule a tailored demo today. We look forward to hearing from you!
