Fintech

AI Transforms Financial Data Preparation and Visualization Artificial intelligence and machine-learning tools are becoming essential for finance professionals, streamlining the preparation and visualization of data. These AI-powered technologies help identify ideal client profiles and buyer personas, enabling financial practices to target the best-fit businesses. The adoption of AI is a significant trend, with a recent global report noting that early adopters gain a competitive edge but also face increasing risks, highlighting the dual nature of integrating emerging tech into the financial sector. ...

AI Adoption in US Workplaces Surges, Gallup Poll Finds A recent Gallup Workforce survey reveals a significant increase in the adoption of artificial intelligence among American workers. The poll, which surveyed over 22,000 U.S. workers, found that 12% of employed adults now use AI daily in their jobs. Approximately one-quarter of respondents reported using AI frequently (at least a few times a week), while nearly half of the workers surveyed stated they use AI at least a few times a year. This marks a notable rise from 2023, when just 21% of workers reported using AI at least occasionally, highlighting the rapid integration of generative AI tools like ChatGPT into professional environments. ...

AI Model ‘SleepFM’ Predicts Future Disease Risk from a Single Night’s Sleep Researchers have developed a groundbreaking artificial intelligence foundation model, named SleepFM, that can predict the future risk of various diseases by analyzing data from a single night’s sleep. A study published in Nature Medicine details how the model was trained on over 585,000 hours of polysomnography (PSG) data from approximately 65,000 individuals. SleepFM has demonstrated a remarkable ability to predict the risk of numerous conditions—including dementia, heart failure, chronic kidney disease, and mortality—years before a clinical diagnosis might occur. The model analyzes complex physiological signals captured during sleep to identify patterns indicative of a predisposition to future health issues. This innovative approach could serve as a powerful early warning system, enabling proactive healthcare and early disease detection. ...

Microsoft Challenges OpenAI with In-House MAI-1 and MAI-Voice-1 AI Models Microsoft has begun public testing for MAI-1, its first internally developed, large-scale AI model, marking a significant strategic move to reduce its reliance on partner OpenAI. The new foundational model is engineered for general-purpose tasks, including answering complex questions and following instructions. Alongside MAI-1, Microsoft also unveiled MAI-Voice-1, a sophisticated model capable of generating natural-sounding, human-like speech. The voice model can reportedly generate one minute of audio in under a second using minimal computing power. These releases signal escalating competition in the generative AI space, especially within multimodal and voice-based applications. ...