analysis

In: Artificial Intelligence

Investment professionals face the mounting challenge of processing vast amounts of data to make timely, informed decisions. The traditional approach of manually sifting through countless research documents, industry reports, and financial statements is not only time-consuming but can also lead to missed opportunities and incomplete analysis. This challenge is particularlyContinue Reading

In: Artificial Intelligence

This post was co-authored with Johann Wildgruber, Dr. Jens Kohl, Thilo Bindel, and Luisa-Sophie Gloger from BMW Group. The BMW Group—headquartered in Munich, Germany—is a vehicle manufacturer with more than 154,000 employees, and 30 production and assembly facilities worldwide as well as research and development locations across 17 countries. Today, theContinue Reading

In: Artificial Intelligence

Security teams in highly regulated industries like financial services often employ Privileged Access Management (PAM) systems to secure, manage, and monitor the use of privileged access across their critical IT infrastructure. Security and compliance regulations require that security teams audit the actions performed by systems administrators using privileged credentials. KeystrokeContinue Reading

In: Artificial Intelligence

This post is co-written with Yaniv Avolov, Tal Furman and Maor Ashkenazi from Deep Instinct. Deep Instinct is a cybersecurity company that offers a state-of-the-art, comprehensive zero-day data security solution—Data Security X (DSX), for safeguarding your data repositories across the cloud, applications, network attached storage (NAS), and endpoints. DSX providesContinue Reading

In: Artificial Intelligence

The financial and banking industry can significantly enhance investment research by integrating generative AI into daily tasks like financial statement analysis. By taking advantage of advanced natural language processing (NLP) capabilities and data analysis techniques, you can streamline common tasks like these in the financial industry: Automating data extraction –Continue Reading

In: Artificial Intelligence

Generative artificial intelligence (AI) provides an opportunity for improvements in healthcare by combining and analyzing structured and unstructured data across previously disconnected silos. Generative AI can help raise the bar on efficiency and effectiveness across the full scope of healthcare delivery. The healthcare industry generates and collects a significant amountContinue Reading

In: Artificial Intelligence

Amazon SageMaker Studio provides a comprehensive suite of fully managed integrated development environments (IDEs) for machine learning (ML), including JupyterLab, Code Editor (based on Code-OSS), and RStudio. It supports all stages of ML development—from data preparation to deployment, and allows you to launch a preconfigured JupyterLab IDE for efficient codingContinue Reading

In: Artificial Intelligence

Extracting valuable insights from customer feedback presents several significant challenges. Manually analyzing and categorizing large volumes of unstructured data, such as reviews, comments, and emails, is a time-consuming process prone to inconsistencies and subjectivity. Scalability becomes an issue as the amount of feedback grows, hindering the ability to respond promptlyContinue Reading