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.

ESG 234

ESG Metadata AI AI 234

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.

ESG 155

ESG Data Quality Machine Learning Automation 155

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.

ESG 196

ESG Automation Data Quality 196

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.

Data Integration 98

Data Integration ML ESG Big Data 98

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.

Generative AI 245

Generative AI AI AI ESG 245