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Items tagged with "ML"

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Good AI requires good data

Or at least that’s the message from a recent Forbes article written by Kevin Campell, CEO at Syniti. In an era of digital transformation, organisations worldwide are recognising the pivotal role of data in driving innovation and achieving business success.

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AI and XBRL

Breakthrough analytics are just around the corner, as innovators bring AI and XBRL together. AI is an incredible tool for turning data into ideas – but good ideas need good data. XBRL brings accuracy to the table while AI brings efficiency, adding up to a revolution in business analysis. XBRL data strengthens AI models and […]

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How well do AI models like GPT-4 understand XBRL Data?

A couple of weeks ago, in the XBRL International newsletter, we commented unfavourably on the use of PDF versions of SEC filings as inputs to Large Language Models (LLMs). We are much more interested in how these tools can be leveraged to examine structured data, such as the Inline XBRL formatted structured filings provided to […]

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Structured data could unlock AI’s potential in finance

One item in particular over the holiday break caught our attention. Research by Patronus AI highlighted apparent challenges faced by large language models (LLMs), such as OpenAI’s GPT-4, in analysing financial data contained in US Securities and Exchange Commission (SEC) filings.

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FRC research explores increase in AI in UK actuarial work

Continuing the theme,  the Financial Reporting Council (FRC) recently released a research report delving into the increased uptake of Artificial Intelligence (AI) and Machine Learning (ML) in the UK actuarial landscape.

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Modernising investor protection for the AI era

US Securities and Exchange Commission (SEC) Commissioner Mark T. Uyeda recently addressed the 2023 NASAA Fall Annual Meeting, emphasising the role of innovation and technology in modernising investor protection.

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Will AI be as big as the internet? Chair Gensler on the need for dynamic regulation

There is great food for thought in the title of some recent remarks by US Securities and Exchange Commission (SEC) Chair Gary Gensler on ‘Dynamic Regulation for a Dynamic Society.’

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XBRL US says AI systems need quality data

Our colleagues at XBRL US have published an interesting comment letter addressing the question of why standardised, machine-readable data is essential for reliable, useful outcomes from artificial intelligence (AI).

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US federal agencies seek information on AI

Do you use artificial intelligence (AI) to analyse data? Are robots your new best friends, or do you have concerns about the risks and challenges? If you’re in the US, the government wants to hear from you.

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Machine Learning on the Rise

Touted as one of the big innovations set to shakeup the coming decades, artificial intelligence (AI) and machine learning (ML) are playing an increasingly central role in financial reporting and analysis. With the age of big data meaning the volume of data sets is growing ever larger, it helps to have a computer aid with the analysis.

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