IBM Journey to AI blog

MARCH 27, 2024

These innovations have showcased strong performance in comparison to conventional machine learning (ML) models, particularly in scenarios where labelled data is in short supply. Practical integration into software like the IBM Envizi ESG Suite can simplify the process while increasing the speed to insight.

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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.

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IBM Journey to AI blog

NOVEMBER 14, 2023

Take the example of a client who integrated a set of disparate company ESG data into a new dataset. Their data services were a full dataset download plus an API wrap around the data, which could be queried for ESG data based on a company ticker symbol. Popular service consumption types include download, API and streaming.

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AWS Machine Learning Blog

APRIL 22, 2024

Organizations are facing ever-increasing requirements for sustainability goals alongside environmental, social, and governance (ESG) practices. Within this context, you can use generative AI to advance your organization’s ESG goals. The typical ESG workflow consists of multiple phases, each presenting unique pain points.

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IBM Journey to AI blog

APRIL 5, 2024

Monitoring energy efficiency and greenhouse gas or fugitive emissions can directly contribute to environmental, social and governance (ESG) reporting, helping to manage and reduce the carbon footprint. These models often incorporate machine learning and AI algorithms to detect the onset of degradation mechanisms in an early stage.

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ODSC - Open Data Science

MARCH 7, 2025

MSCI ESG Ratings &Metrics Source: MSCI Features: Environmental, social, and governance (ESG) data on corporations Use Cases: AI-driven sustainable investment strategies Access: Paid, with some free summary reports available 13. Feature Engineering: Identify key indicators and create meaningful features for predictive models.

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DataRobot Blog

SEPTEMBER 28, 2022

The new findings from industry analyst ESG, The Economic Benefits of DataRobot AI Cloud , detail how ESG models predict improved operational efficiencies, reduced risk, and improves business outcomes with the DataRobot platform for artificial intelligence and machine learning. return on investment.

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Mlearning.ai

JULY 10, 2023

Building a Resilient ESG Data Infrastructure for Sustainable Investment Continue reading on MLearning.ai »

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IBM Journey to AI blog

MAY 25, 2023

natural language processing and machine learning models) to automate and streamline operational workflows. Yet that traditional approach costs both the business and the environment, and customers are watching how seriously you take commitments to ESG. It is the application of artificial intelligence (AI) capabilities (e.g.,

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IBM Journey to AI blog

JANUARY 16, 2024

Businesses are increasingly embracing data-intensive workloads, including high-performance computing, artificial intelligence (AI) and machine learning (ML). Companies are also striving to balance this innovation with growing environmental, social and governance (ESG) regulations.

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Marktechpost

APRIL 2, 2024

Below mentioned are a few firms Using AI in finance: Kensho Technologies : Based in Cambridge, Massachusetts, Kensho Technologies is pioneering in applying artificial intelligence and machine learning to the financial sector.

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ODSC - Open Data Science

APRIL 28, 2023

Due to the tsunami of data available to organizations today, artificial intelligence (AI) and machine learning (ML) are increasingly important to businesses seeking competitive advantage through digital transformation. Be sure to check out her talk, “ Power trusted AI/ML Outcomes with Data Integrity ,” there!

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IBM Journey to AI blog

NOVEMBER 13, 2023

In addition to improvements in storage and technology over its predecessors, NVMe contributed to the development of important technologies that were being developed at the same time, including the Internet of Things (IoT) , artificial intelligence (AI) and machine learning (ML). Data centers: NVMe M.2

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IBM Journey to AI blog

NOVEMBER 20, 2023

In addition to improvements in storage and technology, NVMe contributed to the development of important technologies that were being developed at the same time, including the Internet of Things (IoT) , artificial intelligence (AI) and machine learning (ML).

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Heartbeat

JANUARY 3, 2024

Enter machine learning (ML) , the technological powerhouse that has revolutionized industries from healthcare to finance, with its unparalleled ability to analyze vast datasets, identify patterns, and make predictions. Our planet sends distress signals through extreme weather events, melting ice caps, and vanishing species.

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IBM Journey to AI blog

FEBRUARY 14, 2024

Renewables forecasting is a solution built on AI , sensors, machine learning , geospatial data , advanced analytics, best-in-class weather data and more to generate accurate, consistent forecasts for variable renewable energy resources like wind.

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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.

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NVIDIA

JUNE 28, 2023

By better understanding the environmental and social risks associated with an investment, the financial sector can choose to prioritize those that are more likely to support sustainable development — a framework known as environmental, social and governance (ESG).

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Flipboard

DECEMBER 6, 2023

The Q4 Platform facilitates interactions across the capital markets through IR website products, virtual events solutions, engagement analytics, investor relations Customer Relationship Management (CRM), shareholder and market analysis, surveillance, and ESG tools. In her free time, she likes to go for long runs along the beach.

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IBM Journey to AI blog

FEBRUARY 14, 2024

Renewables forecasting is a solution built on AI , sensors, machine learning , geospatial data , advanced analytics, best-in-class weather data and more to generate accurate, consistent forecasts for variable renewable energy resources like wind.

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ODSC - Open Data Science

APRIL 29, 2023

First, you’ll examine the sell-side analyst coverage networks’ two use cases, then turn your attention to the role board networks play in the ESG outcomes of corporations. MLOps 2.0 — From Research-Centric to Production First Yuval Fernbach｜Co-founder & CTO｜Qwak Join this session to learn more about MLOps.

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AWS Machine Learning Blog

MARCH 2, 2023

Thomas Chapelle is a Machine Learning Engineer at Weights and Biases. He also builds content on MLOPS, applications of W&B to industries, and fun deep learning in general. Ilan Gleiser is a Principal Global Impact Computing Specialist at AWS leading the Circular Economy, Responsible AI and ESG businesses.

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Topbots

JANUARY 29, 2025

For example, at my company Equintel , we use AI to assist in the ESG reporting process, which involves multiple layers of analysis and decision-making. Optimizing on the strengths of humans and AI In most real-world scenarios, AI alone cant achieve full automation.

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Unite.AI

MAY 10, 2024

According to EY, one area in which supply chain companies are exploring the use of GenAI is regulatory and ESG reporting. Through machine learning, specifically reinforcement learning often found in control systems, software can be trained to make decisions that achieve better results.

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Unite.AI

DECEMBER 11, 2024

Focus On: Banking Industry In 2021, PNC launched PINACLE , a cash-management application that uses AI and machine learning (ML) to train from a companys historical data. GenAI can also help automate certain routine tasks (data entry, reconciliation, etc.) that benefit from deeper human analysis.

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