IBM Journey to AI blog

JUNE 23, 2023

Your forward-looking, strategic CFO is driving AI efforts to enable proactive business insights across the enterprise, while streamlining business processes and optimizing financial performance. Comprehend and report : Generative AI can comprehend and report financial data to provide valuable insights and support decision-making process.

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Generative AI Large Language Models AI AI 140

Unite.AI

NOVEMBER 19, 2023

Prompt : “Draft a basic outline for a [type of legal document, e.g., non-disclosure agreement, terms of service] for a startup in the [specific industry].” Creating Financial Projection Models Financial projections are essential for startups to plan their growth and secure funding.

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ChatGPT Prompt Engineer Prompt Engineering Data Analysis 299

O'Reilly Media

APRIL 30, 2024

The problems fostered by social media, search, and recommendation algorithms was never an engineering issue, but one of financial incentives (of profit growth) not aligning with algorithms’ safe, effective, and equitable deployment. Disclosure is another powerful market-shaping tool. The current market leaders in AI are doing the same.

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Algorithm AI AI AI Modeling 88

IBM Journey to AI blog

JUNE 23, 2023

For F&A leaders, this means that it may have the ability to transform financial data, such as business performance reports, commentary and narratives. Financial reporting narratives (as well as commentary) play a pivotal role in providing meaningful insights and contextual understanding of a company’s financial performance.

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Generative AI AI AI AI Strategy 163

Unite.AI

NOVEMBER 24, 2023

Prompt: “Draft a basic outline for a [type of legal document, e.g., non-disclosure agreement, terms of service] for a startup in the [specific industry].” ” This prompt enables ChatGPT to assist entrepreneurs in creating comprehensive financial models, considering various factors that impact their specific industry.

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ChatGPT Data Analysis Prompt Engineer Prompt Engineering 312

LevelAI

APRIL 26, 2024

Agents may often be unsure about the regulatory disclosures they are required to make and what protections and rights the customer has in a given situation. Real-time Alerts and Suggested Responses: Managing conversations with customers can be very tricky, with emotions running high and major financial decisions on the line.

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IBM Journey to AI blog

SEPTEMBER 20, 2023

Along with healthcare organizations and financial services entities, government and public sector entities must strive to be seen as the most trusted institutions. As long as AI is implemented in a way that includes all the traits mentioned above, it can help both governments and citizens alike in new ways.

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Generative AI AI AI Explainability 275

Unite.AI

SEPTEMBER 7, 2023

Proper error handling is essential to prevent inadvertent disclosure of information that could aid threat actors. Model Theft Due to their financial value, LLMs can be attractive targets for theft.

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LLM Large Language Models Prompt Engineer Prompt Engineering 173

NVIDIA

NOVEMBER 3, 2023

This year alone, international hotel chains, financial institutions, Fortune 100 retailers, air traffic-control systems and the U.S. With constant digital transactions, payments, loans and investment trades, financial service institutions manage some of the largest, most complex and most sensitive datasets of any industry.

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AI AI Machine Learning Automation 122

O'Reilly Media

APRIL 23, 2024

Amazon ’s most recent quarterly disclosures (Q4, 2023), for example, show year-on-year growth in online sales revenue of 9%, but growth in fees of 20% (third-party seller services) and 27% (advertising sales). AI safety and governance will be impossible without robust and consistent institutions for disclosure and auditing.

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BERT Algorithm AI AI 108

IBM Journey to AI blog

FEBRUARY 15, 2024

Non-financial factors such as working conditions, supply chains , sourcing and emissions are being incorporated into investment decisions, regulatory frameworks and reporting requirements as asset managers demand greater transparency and accountability from companies.

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ESG 212

NVIDIA

JUNE 28, 2023

When making financial decisions, it’s important to look at the big picture — say, one taken from a drone, satellite or AI-powered sensor. This capability can help audit investments by verifying the accuracy of written records such as government-mandated disclosures, environmental impact reports or even insurance claims.

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IBM Journey to AI blog

APRIL 3, 2024

On March 6, 2024, the US Securities and Exchange Commission (SEC) adopted rules to enhance and standardize climate-related disclosures by public companies and in public offerings. The commission’s adoption of the rules is two years in the making.

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ESG 143

Unite.AI

MAY 3, 2024

Due to the commercial nature of a lot of our AI work, especially in non-academic spaces, most of the projects we're involved in are under strict Non-Disclosure Agreements. Can you share some success stories or significant advancements in AI that were made possible through your platform?

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AI Researcher AI Research Data Quality AI Developer 130

NYU Center for Data Science

JUNE 21, 2023

To enforce the law companies that don’t follow these rules will face financial consequences. The technology will be audited annually by an independent party looking specifically at biases in the system. Candidates can also request information about what data is collected by AI.

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Responsible AI AI AI Data Science 85

NVIDIA

NOVEMBER 3, 2023

This year alone, international hotel chains, financial institutions, Fortune 100 retailers, air traffic-control systems and the U.S. With constant digital transactions, payments, loans and investment trades, financial service institutions manage some of the largest, most complex and most sensitive datasets of any industry.

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AI AI Machine Learning Automation 62

IBM Journey to AI blog

JUNE 1, 2023

The Securities and Exchange Commission (SEC) has issued a rule proposal to standardize the way organizations make climate-related disclosures. This would include disclosure of greenhouse gas emissions as a measure of exposure to climate-related risk. How will organizations be impacted if the SEC’s rule is enacted?

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Explainability ESG Categorization 145

AWS Machine Learning Blog

MAY 9, 2024

According to a McKinsey study , across the financial services industry (FSI), generative AI is projected to deliver over $400 billion (5%) of industry revenue in productivity benefits. Ava Kong is a Generative AI Strategist at the AWS Generative AI Innovation Center, specializing in the financial services sector.

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ML Generative AI AI AI 107

IBM Journey to AI blog

JULY 7, 2023

Data protection and data privacy Data protection , defined as protecting important information from corruption, damage or loss, is critical because data breaches resulting from cyberattacks can include personally identifiable information (PII), health information, financial information, intellectual property and other personal data.

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Automation Categorization Big Data Data Platform 100

AWS Machine Learning Blog

JANUARY 26, 2024

These five risks are insecure output handling, supply chain vulnerabilities, sensitive information disclosure, excessive agency, and overreliance. Implement robust authentication and authorization mechanisms for establishing and managing fine-grained access permissions, which don’t rely on LLM application logic to prevent disclosure.

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Generative AI LLM ML AI 123

IBM Journey to AI blog

JULY 6, 2023

What are the three main disclosure areas under the BRSR? SEBI’s guidance document provides details on three kinds of disclosures—general, management and process, and “principle wise” (principle-based). General disclosures encompass basic company information.

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ESG Explainability Automation 137

IBM Journey to AI blog

APRIL 21, 2023

There are several data-intensive disclosures within the European Sustainability Reporting Standards (ESRS) covering greenhouse gas emissions, energy, waste, water, recycling and social metrics. Not only do these disclosures need to be made publicly available and easily accessible, but the CSRD now also mandates independent auditing.

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ESG Explainability Automation AI 111

O'Reilly Media

JUNE 15, 2023

You have only to look at the slow response of bank regulators to the rise of CDOs and other mortgage-backed derivatives in the runup to the 2009 financial crisis to understand that time is of the essence. It requires constant vigilance, and adaptation to new circumstances at the speed at which those circumstances change.

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ESG OpenAI AI Modeling Algorithm 98

Aiiot Talk

JANUARY 17, 2024

Corporations must prioritize the financial, labor and administrative investments required for creating training documentation, devoting time to staff and informing stakeholders of procedural changes in light of AI assimilation.

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Data Integration Robotics AI AI 147

Marktechpost

JANUARY 3, 2024

This lack of clarity has resulted in AI models producing inaccurate, biased, or unreliable outcomes, particularly in critical areas such as healthcare, cybersecurity, elections, and financial decisions. However, a more comprehensive solution is needed to ensure transparency in AI models’ training data sources and operations.

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AI AI AI Modeling AI Researcher 101

IBM Journey to AI blog

OCTOBER 16, 2023

In addition, certain countries have privacy laws that restrict the disclosure of personal data to third parties. For example, DORA is one of the world’s most far-reaching cybersecurity regulations for financial services organizations and enterprises offering information and communications technology (ICT) services.

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Categorization Explainability 183

AWS Machine Learning Blog

APRIL 22, 2024

This balance must account for the assessment of risk in terms of several factors such as quality, disclosures, or reporting. Legal challenges are a huge blocker for transitioning from proof of concept (POC) to production. Therefore, it’s essential to involve legal teams early in the process to build with compliance in mind.

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Generative AI ESG AI AI 112

Cold Takes

FEBRUARY 20, 2023

Balancing these cautionary measures with conventional/financial success. Use "Forum" if you want to discuss this post publicly on the Effective Altruism Forum. --> Footnotes Disclosure: my wife works at one such company ( Anthropic ) and used to work at another ( OpenAI ), and has equity in both. 

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AWS Machine Learning Blog

APRIL 18, 2023

In particular, we show how you can fine-tune the GPT-J 6B language model for financial text generation using both the JumpStart SDK and Amazon SageMaker Studio UI on a publicly available dataset of SEC filings. We use financial text from SEC filings to fine-tune a GPT-J 6B LLM for financial applications.

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Large Language Models LLM NLP Deep Learning 66

AWS Machine Learning Blog

DECEMBER 6, 2023

Such data often lacks the specialized knowledge contained in internal documents available in modern businesses, which is typically needed to get accurate answers in domains such as pharmaceutical research, financial investigation, and customer support. For example, imagine that you are planning next year’s strategy of an investment company.

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Metadata LLM NLP Conversational AI 102

AWS Machine Learning Blog

APRIL 18, 2023

In particular, we show how you can fine-tune the GPT-J 6B language model for financial text generation using both the JumpStart SDK and Amazon SageMaker Studio UI on a publicly available dataset of SEC filings. We use financial text from SEC filings to fine-tune a GPT-J 6B LLM for financial applications.

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LLM NLP Deep Learning ML 52

Mlearning.ai

SEPTEMBER 4, 2023

14] The model was designed at a foundational level for the financial sector and combined an internal financial dataset (named “FinPile” with 363 billion tokens) with public data (345 billion tokens from general-purpose datasets). Train from Scratch: Training from scratch is the hard path to adoption. Take, for instance, BloombergGPT.[14]

Generative AI 52

Generative AI Large Language Models AI AI 52

AWS Machine Learning Blog

SEPTEMBER 6, 2023

Despite the great generalization capabilities of these models, there are often use cases that have very specific domain data (such as healthcare or financial services), because of which these models may not be able to provide good results for these use cases. Summarize this dialog:n#Person1#: Everyone wants to be financial lose kill.

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Auto-complete Machine Learning ML Python 98

Google Research AI blog

AUGUST 9, 2023

A system that can automatically extract data from documents, e.g., receipts, insurance quotes, and financial statements, has the potential to dramatically improve the efficiency of business workflows by avoiding error-prone, manual work. Recent models, based on the Transformer architecture, have shown impressive gains in accuracy.

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Natural Language Processing Software Engineer AI AI 76

Cold Takes

FEBRUARY 10, 2023

Building up the financial, psychological and social ability to change jobs later on would (IMO) be well worth a lot of effort. Disclosure: my wife is co-founder and President of Anthropic, and used to work at OpenAI (and has shares in both companies); OpenAI is a former Open Philanthropy grantee.

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AI AI Neural Network Deep Learning 40

John Snow Labs

JULY 19, 2023

Moreover, the financial savings are substantial: traditional cloud-based production costs on GPUs alone can reach up to $61,000, while Cerebras achieves a full production run for just $45,000. These numbers underscore Cerebras’ competitive edge in the LLM landscape in terms of both efficiency and cost-effectiveness.

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LLM OpenAI Large Language Models NLP 98

Artificial Corner

JUNE 21, 2023

The first step towards this goal should involve mandatory disclosure of AI’s identity. Regulating Powerful AI Tools Presently, the development of powerful AI tools is predominantly led by major corporations and governments due to the extensive computing power and financial resources required.

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AI Tools Black Box AI Algorithm Artificial Intelligence 52