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

Unite.AI

Using common terminology, holding regular discussions with stakeholders, and creating a culture of AI awareness and continuous learning can help achieve these goals. Ensure data privacy and security: AI models use mountains of data. Companies are leveraging first- and third-party data to feed models.

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HR and Talent in the Era of AI

IBM Journey to AI blog

Before adopting AI into their processes, organizations must develop clear intentions for what responsible AI means to them, individually, and identify not only what they are willing to do, but what they are unwilling to do. As such, HR leaders cannot simply rely on data and AI to make decisions.

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Supercharging Productivity: A Practical Guide to Implementing AI Tools in Your Organisation

Unite.AI

Organisations could create channels within their preferred communication platforms for all AI-related discussions. Such spaces have the power to enable a culture of collaboration that helps drive continuous learning and iterative problem-solving. In this way, AI applications evolve with current needs.

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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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AI Strategist: Driving Business Transformation Through Artificial Intelligence

Pickl AI

Strategic Planning : The ability to develop comprehensive AI strategies that align with the company’s vision and goals is essential. This involves assessing market trends and identifying opportunities for AI integration. An effective AI strategy is a critical component of broader digital transformation efforts.

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

IBM Journey to AI blog

AI algorithms may provide a significant advantage in real-time forecasting due to their ability to elucidate and infer complex patterns within data and allow for reinforcement to drive continuous learning and improvement, which can help lead to a more accurate and informed forecasting outcome.

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