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.
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.
Generative AI is not a fad that can be swept under the rug or read about and put away—it is a genuinely transformational technology advancement that forward-thinking businesses leverage to their benefit.
The TN HIMSS Summit24 conference emphasized AI’s potential in healthcare, and Rōnin was on site to present its ongoing AI initiatives and new AI services offering.
How do businesses keep up with emerging trends and technologies, particularly AI advancements? To help me answer this question, I sat down with Enterprise Architect and co-founder of Rōnin Consulting, Ryan Kettrey.
Although there isn’t a definitive “right” or “wrong” AI type, the suitability depends on your specific use case. As a business owner, weighing the advantages and disadvantages of both public and private AI before implementing it within your business is crucial.
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