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2023 focuses on experimenting with Generative AI (Gen AI) techniques, transitioning from traditional AI methods. In 2024, the emphasis will be on productionizing these Gen AI practices while enhancing existing traditional AI services. Key factors include governance, encompassing risk management, compliance management, and life cycle governance, which require model transparency, explainability, and adherence to regulations. An example discussed involves social media sentiment analysis, highlighting the importance of prompt utilization and governance in ensuring model fairness and compliance with evolving regulations across industries.
Generative AI is prioritized in 2023, moving from traditional AI methods.
Governance is a critical factor for deploying Generative AI technologies.
Sentiment analysis on social media utilizes Generative AI through specific prompts.
AI regulations and compliance impact model governance in the industry.
The discussion identifies governance as paramount in the deployment of Generative AI, emphasizing the need for robust frameworks to ensure models are compliant with evolving regulations. With the surge in AI-related regulations globally, the development of a comprehensive risk assessment toolkit, including bias detection and ethical considerations, becomes essential to maintain integrity in AI applications.
As industries adopt Generative AI, the market landscape will shift dramatically, with companies focusing on integrating compliance into their AI strategies. The trends towards automating compliance processes and advancing AI technologies suggest that businesses must invest in adaptable governance frameworks to stay competitive and mitigate risks associated with regulatory scrutiny.
Discussion centers on its practical applications in predicting and enhancing business processes.
It includes risk management and ensuring compliance with regulations.
The need for transparency is emphasized to maintain trust and compliance in AI applications.
The company's tools are used prominently in sentiment analysis and other AI applications discussed in the video.
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Its research influences many generative models and governance frameworks in the industry.
Mentions: 1
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