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However, Wilson warns of new questions on boundaries between personal and workplace data, spurred by such integrations. Driving sustainability goals With 2030 sustainability targets looming over companies, Kendra DeKeyrel, VP ESG & Asset Management at IBM, highlights how AI can help fill the gap.
To address this issue, this work proposes an artificial intelligence (AI) empowered method based on the Environmental, Social, and Governance (ESG) bigdata platform, focusing on multi-objective scheduling optimization for clean energy.
ESG and SRI focus**: A significant portion of the list consists of ETFs/ETNs with an Environmental, Social, and Governance (ESG) or Socially Responsible Investing (SRI) focus, which suggests a emphasis on sustainable investing. xxxx USD Corporate Bond 0-3yr ESG UCITS ETF USD (Dist) 2. Arghya Banerjee is a Sr.
Data monetization strategy: Managing data as a product Every organization has the potential to monetize their data; for many organizations, it is an untapped resource for new capabilities. But few organizations have made the strategic shift to managing “data as a product.”
But before AI/ML can contribute to enterprise-level transformation, organizations must first address the problems with the integrity of the data driving AI/ML outcomes. The truth is, companies need trusted data, not just bigdata. That’s why any discussion about AI/ML is also a discussion about data integrity.
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