Patrick Bangert

Jun 25, 2024 | acamstoday.org | Patrick Bangert

Of the many uses of artificial intelligence (AI) in financial services, finding and documenting fraud and money laundering crimes stand out. In general, AI’s value proposition lies in automating tasks that are extremely cumbersome for people. Some processes are slow and expensive for people and can be made faster by AI. The real game changers are processes that are so slow and expensive for people that they are not done at all—people could do them but do not.

Apr 18, 2024 | itbrief.com.au | Patrick Bangert |Andrew Kirk

The role of Data and AI in the mining sector has now been well-documented across media and technical publications. While there are high-impact areas for driving growth, such as enhanced data-driven decision-making, predictive maintenance, resource optimization, safety improvements and tapping into data to ensure compliance with ESG objectives, data and AI are not being harnessed fully to drive business objectives.

Apr 17, 2024 | node-magazine.com | Patrick Bangert

The relationship between artificial intelligence (AI) and the law is complex and uncertain. To start, it’s a two-way relationship. There are, and more importantly will be, laws about AI and how AI is used in the legal process.

Apr 15, 2024 | accountingtoday.com | Patrick Bangert

While generative AI is the hot conversation topic these days, we must not forget a long and successful history of using non-generative AI, sometimes called legacy AI, especially for numerical and structured data. Uses such as forecasting of customer demand or revenues or the detection of patterns such as fraud or money laundering are important examples relevant to CFOs and accountants. These tools and use cases improve in their capability every year and provide tangible business value.

Jan 24, 2024 | finextra.com | Patrick Bangert |Bhavesh Vaghela |Raktim Singh |Shiv Nanda

The ability of a computer to generate prose text has recently become good enough to consider for practical business use. So why are most companies not using it, yet? Let’s look at some challenges in implementing these methods. While generative AI (GenAI) can also generate images, audio, or video, we will focus on its ability to generate text here. At the heart of GenAI lies a model, which transforms one piece of text into another.