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With Generative AI Advances, The Time to Tackle Responsible AI Is Now

Unite.AI

In addition, they can use group and individual fairness techniques to ensure that algorithms treat different groups and individuals fairly. Using common terminology, holding regular discussions with stakeholders, and creating a culture of AI awareness and continuous learning can help achieve these goals.

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AI Strategist: Driving Business Transformation Through Artificial Intelligence

Pickl AI

Here are the essential skills and expertise required for an AI strategist: Technical Knowledge A solid foundation in AI technologies is essential for understanding how they can be applied to solve business problems. This involves assessing market trends and identifying opportunities for AI integration.

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Ramprakash Ramamoorthy, Head of AI Research at ManageEngine – Interview Series

Unite.AI

This collaboration is crucial for aligning our AI strategy with the specific needs of our customers, which are constantly evolving. Given the rapid pace of advancements in AI, I dedicate a substantial amount of time to staying abreast of the latest developments and trends in the field.

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Erik Schwartz, Chief AI Officer (CAIO) Tricon Infotech – Interview Series

Unite.AI

His work, most recently on the Scopus AI project at Elsevier, underscores his commitment to redefining the boundaries of how we engage with information and create a trusted relationship with users. How have your experiences at companies like Comcast, Elsevier, and Microsoft influenced your approach to integrating AI and search technologies?

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Optimizing clinical trial site performance: A focus on three AI capabilities

IBM Journey to AI blog

AI algorithms have the potential to surpass traditional statistical approaches for analyzing comprehensive recruitment data and accurately forecasting enrollment rates. Often larger or established teams shy away from integrating AI due to complexities in rollout and validation.

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Pascal Bornet, Author of IRREPLACEABLE & Intelligent Automation – Interview Series

Unite.AI

For organizations to ensure that AI augments rather than replaces human workers, they need to take a human-centric approach to AI implementation. This means putting people at the heart of their AI strategies and focusing on how the technology can empower and enhance human capabilities. One key aspect is job design.

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Establishing an AI/ML center of excellence

AWS Machine Learning Blog

This includes assessing the performance of various AI models and algorithms to identify cost-effective, resource-optimal solutions such as using AWS Inferentia for inference and AWS Trainium for training. Stay tuned as we continue to explore the AI/ML CoE topics in our upcoming posts in this series.

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