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
JULY 25, 2023
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.
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IBM Journey to AI blog
SEPTEMBER 15, 2023
While most companies have historically published annual Environmental Social Governance (ESG) reports long after their annual financial statements, it is likely that the SEC will require companies to disclose ESG data with financial statements. It is about accountability and driving comparability for real impact.
Unite.AI
AUGUST 25, 2023
This n-tier model can be further enriched to support ESG initiatives including but not limited to identifying conflict minerals, use of environmentally sensitive resources or areas, calculating carbon emissions of products and processes, and more. In other words, you cannot use a generally trained model.
ODSC - Open Data Science
APRIL 28, 2023
These are critical steps in ensuring businesses can access the data they need for fast and confident decision-making. As much as data quality is critical for AI, AI is critical for ensuring data quality, and for reducing the time to prepare data with automation.
Topbots
JANUARY 29, 2025
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.
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