Tricentis’ Post

Software development teams 📣🏛️ Federal standards & guidelines on #generativeAI systems are coming into play. This means you must develop robust #testing strategies that not only meet regulatory standards, but also ensure #AI technologies are responsible, trustworthy, and accessible! Here to share 🎯 key elements that should be included in any testing strategy is David Colwell, Tricentis Vice President of AI & ML in this recent SD Times article.

Software development teams 📣🏛️ Federal standards & guidelines on #generativeAI systems are coming into play. This means you must develop robust #testing strategies that not only meet regulatory standards, but also ensure #AI technologies are responsible, trustworthy, and accessible! Here to share 🎯 key elements that should be included in any testing strategy is David Colwell, Tricentis Vice President of AI & ML in this recent SD Times article.

Software development teams 📣🏛️ Federal standards & guidelines on #generativeAI systems are coming into play. This means you must develop robust #testing strategies that not only meet regulatory standards, but also ensure #AI technologies are responsible, trustworthy, and accessible! Here to share 🎯 key elements that should be included in any testing strategy is David Colwell, Tricentis Vice President of AI & ML in this recent SD Times article.

Ever wondered how AI application development could be revolutionized? Composable Prompts is leading a paradigm shift, breaking free from the restrictive LLM vendor lock-in. This innovative approach fosters flexibility and creativity in AI development. The result? A much-needed freedom for developers to explore, experiment, and excel. It's a fascinating time in the world of AI, and Composable Prompts is setting the pace. What are your thoughts on this game-changing development? 🚀

🔍 AI Regulations are Shaping the Software Industry: Here’s What You Need to Know 🚀 As startups and small businesses, staying ahead of tech trends and regulations is crucial. With new AI regulations on the horizon, understanding and preparing for these changes is more important than ever. Here's a quick breakdown of what this means for your software development practices: 🔑 Key Highlights: - 📜 AI technology is integrating deeper into various sectors, requiring a refined approach to development and deployment. - 🛡️ Proper testing strategies are not just recommended but necessary to cope with new regulatory norms. - 🧠 Embracing continuous education on AI capabilities and limitations ensures more reliable and effective applications. 🚧 Challenges and Considerations: - 🔍 Transparent, thorough testing and documentation are mandatory to meet compliance and enhance system reliability. - 💡 Red team testing and risk assessments are becoming more crucial to identify and mitigate potential vulnerabilities early. 🌟 Opportunity Knocks: - This evolving landscape offers a chance to innovate and lead in secure, reliable AI application deployments. 🎯 Whether you’re refining your software to meet these new standards or planning to develop new AI-driven tools, now is the time to align your strategies with these upcoming regulatory frameworks. 🔗 Dive deeper into what these impending AI regulations entail and how you can best prepare: https://lnkd.in/da4eD_SZ #AITechnology #SoftwareDevelopment #RegulatoryCompliance This post was generated by an AI. Please contact us for more information.

The new emerging technology prioritization framework will help determine which generative AI tools need to be pushed to the front of the line for approval. By Jason Miller https://lnkd.in/ec73K55c #artificialintelligence #fedramp

The use of #AI is changing the way software is created. However, the fact that AI can create code doesn’t mean we should plunge forward without considering potential risks and unintended consequences. Veracode CTO and Founder, Chris Wysopal contributes an important perspective in his latest Forbes article.

🚀 Are you considering integrating Large Language Models (LLMs) into your business processes? Our latest blog post dives deep into the world of LLM deployment options, offering a strategic guide for organizations looking to harness the power of AI. Key takeaways: 1️⃣ Understand the pros and cons of three deployment options: LLM API Providers, Self-Hosted LLMs, and Custom LLMs. 2️⃣ Learn how to implement a phased approach to LLM integration, from initial exploration to autonomous operation. 3️⃣ Discover essential considerations for successful deployment, including data quality, stakeholder engagement, and continuous improvement. 4️⃣ Get insights on setting SMART goals for your AI integration journey. Don't miss out on this comprehensive guide that could reshape your company's future! 🔗 Read the full article here: https://lnkd.in/gqfNMQiX What's your biggest challenge in adopting AI technologies? Share your thoughts in the comments below! #AIIntegration #LLMDeployment #BusinessInnovation #TechStrategy #ArtificialIntelligence #LLM #AI #ArtificialIntelligence #FutureOfWork

#AzureDaily Discover resources for responsible #AI development with Microsoft's 'From Principles to Practice' blog post! 🌐 Get hands-on guidance, tools, and best practices to ensure your AI projects follow ethical and trustworthy standards. #MicrosoftAzure #ResponsibleAI #developer 👩💻🤖🛠️

Understanding Responsible AI is crucial in today's tech landscape. It involves developing, deploying, and managing AI systems ethically, securely, and inclusively. Microsoft leads the way with six core principles: - Fairness - Reliability and safety - Privacy and security - Inclusiveness - Transparency - Accountability Explore more about Responsible AI and its practical implementation here: (https://lnkd.in/dWQNf54m) #AI #MSFTAdvocate #ResponsibleAI #Developer