IBM Journey to AI blog
APRIL 10, 2023
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.
IBM Journey to AI blog
JUNE 8, 2023
According to a recent IBM Institute for Business Value survey, 95% of surveyed global executives say their organizations have developed ESG propositions. However, many of these organizations lack a clear pathway to realizing their goals and 41% of surveyed executives cite inadequate data as their biggest obstacle to ESG progress.
IBM Journey to AI blog
NOVEMBER 14, 2023
Data-as-a-Service and data marketplaces are well established to create data value from initiatives built on data analytics, big data and business intelligence. Take the example of a client who integrated a set of disparate company ESG data into a new dataset. Popular service consumption types include download, API and streaming.
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