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Writer Builds New LLM for Financial Sector
A new specialised large language model (LLM) has been created by American technology firm Writer for financial services firms based on its Palmyra products. The Palmyra-Fin-70b model enables firms’ generative artificial intelligence (GenAI) platforms to assist in financial forecasting, investment analysis, risk evaluation, fraud detection, and asset allocation strategies, the company said. The new LLM…
Crafting an Effective Data Strategy to Unlock Innovation
By Kelly Attrill, Head of Advisory & Consulting APAC at Lab49. Data can be both an asset and a liability. Used correctly, it can transform an organisation’s ability to unlock value and enable innovation. However, if data is mismanaged it can have catastrophic consequences. In financial services, firms recognise that the ever-increasing volume of data…
Bridgewise Brings AI-Powered Analytics to ETFs, Fund Space
AI-powered investment analysis platform Bridgewise has launched a research platform it says will close the gap in exchange-traded fund (ETF) and mutual fund analyses. The service will offer financial clients deep intel into ETF and fund performance, including that of their underlying assets, the company said. Bridgewise has deployed machine learning and micro-language models (MLMs)…
Duco Unveils AI-Powered Reconciliation Product for Unstructured Data
Duco, a data management automation specialist and recent A-Team Group RegTech Insight Awards winner, has launched an artificial intelligence-powered end-to-end reconciliation capability for unstructured data. The Adaptive Intelligent Document Processing product will enable financial institutions to automate the extraction of unstructured data for ingestion into their systems. The London-based company said this will let market…
AI in Asset Management: Buy-Side Attitudes toward GenAI and LLMs
Since ChatGPT exploded onto the scene in late 2022, financial markets participants have been trying to understand the opportunities and risks posed by artificial intelligence and in particular generative AI (GenAI) and large language models (LLMs). While the full value of the technology continues to become apparent, it’s already clear that AI has enormous potential…
Practicalities of Implementing GenAI in Capital Markets
Following the opening keynote of A-Team Group’s AI in Capital Markets Summit (AICMS), a panel of expert speakers focused on the practicalities of implementing GenAI. The panel agreed that industry hype is waning and there is enthusiasm for GenAI with firms beginning to develop use cases, although one speaker noted: “People understand the risks and…
AI in Capital Markets Summit Tracks Evolution of GenAI and Value Creation
Generative AI (GenAI) took the world by storm in November 2022 when OpenAI introduced ChatGPT. It has since become a talking point across capital markets as financial institutions review its potential to deliver value, consider the challenges it raises, and question whether they have the data foundation in place to deliver meaningful, unbiased and ethical…
Datactics Enhances Augmented Data Quality Solution with Magic Wand and Rule Wizard
Datactics has enhanced the Augmented Data Quality Solution (ADQ) it brought to market in November 2023 with the addition of an AI magic wand, Snowflake connectivity and an SQL rule wizard in ADQ v1.4. The company is also working towards the release of ADQ v1.5 that will include generative AI (GenAI) rules and predictive remediation…
Global Indices Launch Marks SIX’s Latest Expansion of ETF Business
SIX, the data aggregator and operator of Swiss and Spanish stock exchanges, has expanded its indexing business with the creation of two families of global equities indices that can be used by the company’s retail, private banking and asset management clients. The SIX World Indices provide a broad view of global markets through a diversified and…
TurinTech innovates with Artemis code optimisation
TurinTech, a London-based technology vendor, plans to revolutionise code optimisation with its GenAI Artemis solution. Artemis is based on a proprietary large language model (LLM) – although it can be used with other LLMs – that is trained to help financial firms optimise software code, speed up execution, reduce cloud costs and lower carbon emissions….