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This second installment of our unstructured data series looks deeper using a specific use case: managing receipts using AI. We examine how unstructured receipts data presents challenges and demonstrate how AI transforms receipt processing from a manual, time-consuming task into an automated and efficient solution.
Technological advancements, particularly multi-modal Large Language Models (LLMs), are revolutionizing how we approach unstructured data, enabling organizations to streamline processes, improve decision-making, and unlock new growth opportunities.
To get an inside look at what it’s like to be part of the dynamic team at Rōnin, we sat down with Derek Adams, a Senior Software Engineer and Partner who’s been with the company since its earliest days.
Healthcare companies face mounting challenges, including rising costs, inefficiencies, and critical labor shortages. However, Artificial Intelligence (AI) offers a promising solution to these challenges.
Team Rōnin once again proved their innovative expertise in AI by taking home the professional first-place award at the TN HIMSS 2024 AI Hackathon.
Participating in hackathons isn’t just about beating the competition—it’s a growth opportunity for individuals and teams.
Discover how businesses leverage both structured and unstructured data, and how AI-driven processing of unstructured data is set to transform business efficiency.
It’s time to look beyond generic tools and explore the possibilities of custom AI integrations that can revolutionize how work gets done.
When it comes to hosting your public or private AI model, there are plenty of options. We’ve highlighted some of the most popular platforms our clients use and what we recommend.
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