Sign up for our newsletter and get the latest big data news and analysis.

How Financial Institutions Can Deal with Unstructured Data Overload

In this contributed article, Chandini Jain, CEO of Auquan, outlines how new AI-powered tools can aggregate, query, analyze and leverage unstructured data to unveil deep insights in record time. She takes a look into how these tools are providing value and helping financial institutions turn mounds of unstructured data into decision-making power.

Data Science Salon for Healthcare, Finance & Technology

insideBIGDATA is pleased to announce that it is a Community Partner for the upcoming “Data Science Salon for Healthcare, Finance & Technology” virtual event (use special discount code: insideBIGDATA20 when registering). DSS Virtual Salon | Applying AI & Machine Learning to Healthcare, Finance & Technology is the only industry conference that brings together specialists in healthcare, finance and technology data science fields to educate each other, illuminate best practices, and innovate new solutions in a casual atmosphere.

The Evolution of Digital Banking Post COVID-19

In this contributed article, Karen Krivaa, VP of Marketing at GigaSpaces Technologies, discusses how Open Banking will become more of a necessity now and the need for efficient data architecture to help drive the adoption. In the current COVID-19 climate, this notion brings the Digital Banking (with need for Open Banking) idea back into the limelight.

Finance Careers Utilizing Big Data

In this contributed article, freelance human Avery Phillips suggests that if you are considering any sort of career in the finance field, you will more than likely be directly or indirectly involved with Big Data at some point in your career. If you are looking at finance, consider your relationship with its partner-in-crime, big data.

Machine Learning in Finance: Challenges, Successes & Opportunities

AI or machine learning is changing the way industries across the spectrum interact with their customers, as well as develop their processes. And nowhere is this more evident than in the financial business. Download a new insideHPC special report that explores the benefits, challenges and considerations involved with adopting machine learning in finance.

InsideBIGDATA Guide to Big Data for Finance

Introduction to Big Data for Finance According to the 2014 IDG Enterprise Big Data research report, companies are intensifying their efforts to derive value through big data initiatives with nearly half (49%) of respondents already implementing big data projects or in the process of doing so in the future. Further, organizations are seeing exponential growth in the amount of data managed with an expected […]