IBM Journey to AI blog

FEBRUARY 7, 2024

As more companies set broad environmental, social and governance (ESG) goals, finding a way to track and accurately document progress is increasingly important. 2 For example, some are turning to software solutions that can more easily capture, manage and report ESG data. trillion in economic benefits by 2030.

ESG 222

ESG Artificial Intelligence Artificial Intelligence Machine Learning 222

IBM Journey to AI blog

APRIL 18, 2023

For more straightforward requests, IBM Watson® and machine learning with natural language processing (NLP) enables support channels to provide nearly two million answers every month. On opportunities such as this, IBM is leveraging the capabilities of its recent acquisition of Envizi using IBM Envizi ESG Suite.

ESG 175

ESG Automation Natural Language Processing Robotics 175

IBM Journey to AI blog

FEBRUARY 14, 2024

In September 2022, The White House announced plans to deploy 30 GW of floating offshore wind power by 2030. According to the IEA, hydro will remain the largest clean energy provider through 2030 with exciting new technologies on the horizon.

ESG 128

ESG Machine Learning AI AI 128

IBM Journey to AI blog

FEBRUARY 14, 2024

In September 2022, The White House announced plans to deploy 30 GW of floating offshore wind power by 2030. According to the IEA, hydro will remain the largest clean energy provider through 2030 with exciting new technologies on the horizon.

ESG 100

ESG Machine Learning AI AI 100

AWS Machine Learning Blog

JANUARY 12, 2024

In contrast, text embeddings use machine learning (ML) capabilities to capture the meaning of unstructured data. Conventional approaches to analyzing unstructured data use keyword or synonym matching. They don’t capture the full context of a document, making them less effective in dealing with unstructured data.

Natural Language Processing 117

Natural Language Processing ESG Large Language Models Data Science 117