Remove Data Quality Remove ESG Remove Machine Learning
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How the right data and AI foundation can empower a successful ESG strategy

IBM Journey to AI blog

A well-designed data architecture should support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, drive major efficiencies, and respond to risks such as supply chain disruptions.

ESG 259
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IBM named a leader in ESG reporting and data management software by independent research firm

IBM Journey to AI blog

Independent research firm Verdantix recently identified IBM as a leader in their report, “ Green Quadrant: ESG Reporting and Data Management Software ” (July 17, 2023), which evaluated and provided a detailed assessment of solution providers and their product offerings.

ESG 178
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Data Integrity: The Foundation for Trustworthy AI/ML Outcomes and Confident Business Decisions

ODSC - Open Data Science

Be sure to check out her talk, “ Power trusted AI/ML Outcomes with Data Integrity ,” there! Due to the tsunami of data available to organizations today, artificial intelligence (AI) and machine learning (ML) are increasingly important to businesses seeking competitive advantage through digital transformation.

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Carving Out Your Competitive Advantage With AI

Topbots

Ive seen firsthand how even small improvements in data quality can lead to significant leaps in AI performance. Capturing the dynamics with the data flywheel Data needs to evolve along with the real world. Thats where DataOps comes in, ensuring data is continuously adapted and doesnt drift apart from reality.

AI 52