As generative artificial intelligence (AI) progresses to becoming a common tool at work and embedded in workflows, large language models (LLMs) have reshaped what systems in the future would look like.💡 Majaliwa Bass, Vice President, Product Marketing at Thomson Reuters talks about the holistic approach the company has taken to understand and apply gen #AI principles as a #technology service provider.🖥💻⚙
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Moving from a content company driven by tech to an AI company underpinned by trusted content is no small feat. At TR, we have a KPI around how we use AI as we build our own AI tools. How are you proactively using AI in your work life?
As generative artificial intelligence (AI) progresses to becoming a common tool at work and embedded in workflows, large language models (LLMs) have reshaped what systems in the future would look like.💡 Majaliwa Bass, Vice President, Product Marketing at Thomson Reuters talks about the holistic approach the company has taken to understand and apply gen #AI principles as a #technology service provider.🖥💻⚙
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Co-Founder of Altrosyn and DIrector at CDTECH | Inventor | Manufacturer
2wThe comprehensive approach Thomson Reuters has adopted towards understanding and implementing AI principles exemplifies a strategic alignment with evolving technological landscapes. Synonymous with past industry leaders who navigated paradigm shifts in technology integration, such as IBM's evolution from mainframes to AI-driven analytics, Thomson Reuters' commitment underscores a proactive stance in leveraging AI for comprehensive service delivery. Considering this strategic integration, how do you envision the future role of AI ethics frameworks evolving within Thomson Reuters' operations, particularly in enhancing trust and accountability in AI-driven services like legal and financial analytics? Moreover, what methodologies or collaborative initiatives could further strengthen industry-wide standards in AI governance and compliance, ensuring ethical best practices are upheld across diverse global markets?