NNIT ’s Post

💡Great points from Kasper Kronmann Nielsen! I am working in Quality Management, and we've create some exciting and practical AI applications that demonstrate the incredible value proper AI Assistants can provide. Check out tools like the 'Regulatory Compliance Assistant' 📋, 'SOP Write Assistant' ✍️, and 'Document Revision Assistant' 🔄 that can boost your Document Management Processes, making them more efficient and accurate. And there are many other AI demo's you can explore as well! 👉 https://lnkd.in/dEMiTXRi #QualityManagement #Quality #AI #ArtificialIntelligence #DocumentManagement #Efficiency #Innovation #NNIT

Ready to implement AI in your organization? 🧑💻 It is essential to look past the initial AI hype and consider the long-term impact and low-hanging fruits when introducing Large Language Models, such as: ✅ Software Development ✅ Integration ✅ Security Kasper Kronmann Nielsen, Advisory Director, Digital Advisory & Consulting, NNIT dives in on the first quick wins of implementing AI 👀🎞️ Ready to get started with AI? Find the way to improve your business ➡️ https://okt.to/QIE23W

Did you know that: In some cases, AI-driven software improvements have reached up to 40%, highlighting the necessity of integrating AI for sustained enhancements in efficiency and productivity.

🚀 Diving into AI-powered code documentation automation! * Code Analysis: AI parses code, analyzing elements like syntax and structure. * Detailed Extraction: Identifies and extracts details on functions, classes, and variables—covering names, arguments, return types, and usage patterns. #AI #CodeAutomation #TechInnovation #DevOps #ArtificialIntelligence

While others struggle with AI "hallucinations" from poorly structured data, we're taking a different path. It's like an AIPI - our innovative approach to creating AI-enabled data structures. And it's not just about APIs; we're building all our software to feed AI well-organized, meaningful data.

I just stumbled upon an article I wrote almost 4 years ago about the slow adoption of AI in enterprise applications (link in comments). While everyone now is touting AI, the basic tenet of the article still holds true: Most enterprise software vendors are not reinventing applications AI-first. They are slapping AI onto existing applications. The next generation business applications will be truly AI-first and will invert the interaction model between humans and systems. I am looking forward to that.

Outdated testing practices are slowing businesses down and putting their competitiveness at risk. This is why 79% of companies are turning to AI-augmented testing for greater speed, accuracy, and scalability. Join our live webinar on November 7 to learn about the rise of AI-augmented testing, how it’s being used, and why human validation is still necessary. Register now: https://hubs.ly/Q02WY2KX0 #AI #AITesting #AIAugmentedTesting

Ground Truth is more than a benchmark—it’s the backbone of effective AI evaluation. Without this human-validated reference, measuring AI success is like navigating without a compass. Your Subject Matter Experts (SMEs) don’t need to be AI pros, but they play a crucial role in shaping a trustworthy LLM-based application. It’s time to get serious about aligning our AI projects with human expertise. Read our last blog post at Pampa Labs about getting Ground Truth right and let us know what you think! https://lnkd.in/ds6G6RDf

Check out our latest blogpost on Ground Truths and their importance in building robust LLM applications!