{"id":56233,"date":"2024-06-21T08:38:21","date_gmt":"2024-06-21T08:38:21","guid":{"rendered":"https:\/\/sii.ua\/?p=56233"},"modified":"2024-06-21T08:38:24","modified_gmt":"2024-06-21T08:38:24","slug":"mastering-ai-the-responsible-way-learn-how-sii-combines-innovation-with-compliance-with-industry-standards","status":"publish","type":"post","link":"https:\/\/sii.ua\/en\/news-feed\/mastering-ai-the-responsible-way-learn-how-sii-combines-innovation-with-compliance-with-industry-standards\/","title":{"rendered":"Mastering AI the responsible way. Learn how Sii combines innovation with compliance with industry standards\u00a0"},"content":{"rendered":"\n
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Organizations of all sizes and sectors are increasingly turning to Artificial Intelligence (AI) to navigate market shifts and predict future trends. The ability to make informed and timely technology decisions is key to stimulating growth and improving decision-making processes. And this is where Sii steps in. Led by specialists such as Marcin Mosio\u0142ek, AI Domain Expert and 2024 Microsoft AI MVP, the company offers innovative and ethical solutions that help businesses stay ahead of their markets.<\/strong> <\/p>\n\n\n\n

End-to-end AI support from Sii<\/h2>\n\n\n\n

Backed by over 50 AI specialists across multiple Competency Centers, Sii offers one-stop-shop AI services, from engineering to data science and MLOps. The team creates customized strategies that tackle complex challenges and produce clear results for clients. <\/p>\n\n\n\n

The company uses an interdisciplinary strategy to offer a full scope of AI capabilities. Its extensive experience with major platforms such as OpenAI, Azure, Google Cloud Platform, AWS, Snowflake and Palantir ensures that projects adhere to stringent security, data privacy, and regulatory standards. Sii’s capabilities extend to the development of both frontends and backends, enabling full operationalization of AI models. The company\u2019s expertise also includes embedded technologies that integrate AI directly into devices. <\/p>\n\n\n\n

To maintain superior quality and performance, Sii testing teams apply both traditional and AI-powered tools, like Tricentis Tosca and Mabl. This dual approach assures the reliability and effectiveness of their AI services, aligning with the best industry benchmarks and client expectations. <\/p>\n\n\n\n

Optimizing AI project lifecycle with proven methodologies <\/h2>\n\n\n\n

Sii is proud of its well-established AI project development processes. These are based on proven methods known as AI Agile and CRISP Delivery Management that ensure projects are reliable and outcomes are successful. <\/p>\n\n\n\n

\u2014 The life cycle of an AI project differs from standard software projects and doesn’t end with deployment \u2014 explains\u00a0Marcin Mosio\u0142ek, AI Domain Expert at Sii,<\/strong>\u00a0who has been recently awarded the Microsoft MVP title in Artificial Intelligence. \u2014 Iterative changes are necessary as data, concepts, and market conditions evolve. Our process includes continuous data understanding, preparation, and modeling, allowing us to refine our solutions to meet real-world demands \u2014 he continues.\u00a0<\/p>\n\n\n\n

Data-driven AI development starts with a deep understanding of each client’s business and processes, followed by careful data preparation for machine learning, and then, successive stages of the work. Sii projects are carried out with the customer in mind, prioritizing safety and compliance with industry-specific requirements. <\/p>\n\n\n\n

Sii R&D initiatives in Artificial Intelligence <\/h2>\n\n\n\n

Sii is currently incorporating AI into various domains, including legal services, as part of its research and development initiatives. The standout project uses the GPT-4 model to enhance contract analysis for effective legal reviews. The focus is on identifying potential risks in documents linked to jargon usage and the need to adapt to constantly evolving regulatory requirements. <\/p>\n\n\n\n

\u2014 To address these issues, our team applied the tree-of-thought prompting strategies, which structure input to simulate step-by-step reasoning and enhance accuracy. The system was specifically tailored for identifying risks in non-disclosure agreements, and it also covers clause extraction and classification based on complex legal documents \u2014 explains Marcin Mosio\u0142ek<\/strong>. <\/p>\n\n\n\n

Most importantly, the project has achieved 92% precision, successfully identifying 98% of all risks, thereby substantially increasing the reliability and effectiveness of legal reviews at Sii. <\/p>\n\n\n\n

Real-world AI applications in Sii\u2019s client projects <\/h2>\n\n\n\n

Focusing on performance, Sii emphasizes decision-making based on data. The company optimizes processes through advanced prompt engineering that relies on machine learning and a deep understanding of underlying artificial neural networks. These methods have allowed Sii specialists to significantly reduce operational costs for clients. They\u2019ve already applied these strategies in over 30 global AI projects in generative AI, Natural Language Processing, and Computer Vision. Below are a few examples of these successful implementations: <\/p>\n\n\n\n