Woohoo! 📣 Accern is on the #AIFinTech100 list, meaning that it is among the world’s top 100 most innovative #AI companies that are making waves among financial institutions! 🔆 Please continue to empower the #financialservices sector and beyond! Kumesh Aroomoogan! FinTech Global #naturallanguageprocessing #LLM #fintech
Which #AI companies should be on the radar of EACH AND EVERY financial institution, especially for those looking to level up their #digitaltransformation strategies? Among the top 100 counts Accern – according to #AIFinTech100 2024, the latest ranking compiled by FinTech Global, a London-based market intelligence provider. “Accern classifies and sends only relevant content to LLMs to boost accuracy and cut costs by 80%,” notes FinTech Global’s report. It highlights that the New York-based no-code NLP platform significantly helps reduce “hallucinations” in clients’ #LLM queries, thanks to its effective content classification and capability to segment #data into digestible and cost-effective “signal chunks”. From over 2,000 entries, the AIFinTech100 list identifies the world’s top 100 AI pioneers that are transforming #financialservices of all kinds. Their respective industry impact, growth metrics, innovativeness and benefits to clients are factored into the consideration. Truly impressed with Accern’s inclusion into the global ranking!! 👍 Access Accern’s profile and the full list: https://lnkd.in/d26BgRTS #fintech #naturallanguageprocessing
Co-Founder of Altrosyn and DIrector at CDTECH | Inventor | Manufacturer
2moAccern's inclusion in the #AIFiTnTech0100 list highlights the rapid advancements in AI applications within financial services, akin to the transformative impact of algorithmic trading in the early 2000s. This milestone underscores the importance of natural language processing and large language models in revolutionizing data-driven decision-making for financial institutions.Considering the exponential growth in AI-driven solutions, how do you foresee the integration of federated learning enhancing privacy and security measures in financial data analysis while maintaining robust predictive accuracy?