NineTwoThree Blog

Effectively communicate ML progress to non-tech stakeholders with our framework for clear, insightful updates on AI projects.

Navigate the AI landscape with NineTwoThree! Discover how to balance simplicity and complexity in ML solutions for impactful results.

In an era where Large Language Models are revolutionizing the way organizations interact with technology, the potential for innovation is immense. However, with great power comes significant responsibility, especially when it comes to the accuracy of information.

Flashy AI tools grab attention, but real value comes from internal AI solutions that optimize operations and drive lasting cost savings.

As organizations increasingly adopt AI technologies to enhance their customer support, the challenges and potential rewards of implementing AI chatbots become more apparent. Despite the significant advancements in AI, many customers still find themselves hesitant to engage with automated support systems.

As organizations increasingly turn to AI solutions, a pressing concern looms: the accuracy of these systems. While the risk of hallucinations poses significant challenges—especially in customer-facing roles—there remains a wealth of opportunities to leverage AI in internal processes where a degree of error is acceptable.

Before looking into AI, evaluate options like improving engineering and data quality. Explore effective strategies first!

Transform unstructured data into actionable insights with LLMs and vector databases, making data usability a reality today.

Consistently writing landing pages sharpens sales strategy, improves messaging clarity, and aligns marketing for better conversions and results.