Transcript
Welcome to our episode on AI advancements. Nous Research has released NousCoder-14B, an open-source coding model that matches proprietary systems, trained in just four days.
This model achieves 67.87 percent accuracy on LiveCodeBench v6, a standardized evaluation for competitive programming problems, and is available on Hugging Face under an Apache 2.0 license.
Meanwhile, Cisco is advancing operational deployments of AI internally and in its tools, while enterprises face the challenge of moving experimental AI pilots to production, as seen at the AI Expo 2026.
AI is also being used in healthcare to solve labor issues in treating rare diseases, with AI-powered biotech startups leveraging automation, data, and gene editing to fill gaps in drug discovery.
However, there are concerns about data constraints and the need for synthetic data generation, as well as the importance of data quality, with poor quality data costing organizations an average of $12.9 million annually.
As AI continues to evolve, it's essential to focus on practical applications and address challenges such as data scarcity, with companies like SENEN Group emphasizing the need for enterprise AI to 'get practical' and deliver tangible results.