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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.
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.
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 machinelearning (ML) are increasingly important to businesses seeking competitive advantage through digital transformation.
Ive seen firsthand how even small improvements in dataquality 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.
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