Insider Fraud Investigation
A regional US Bank suspected they had a fraud problem but could not substantiate the suspicions.
Disconnected data in Criminal Investigations
Slow investigations and missed leads due to swivel chair data searching
The SingleStore Query Optimizer: A modern optimizer for real-time analytics in a distributed database
Real-time analytics on massive datasets has become a very common need in many enterprises. These applications require not only rapid data ingest, but also quick answers to analytical queries operating on the latest data.
Cloud-Native Transactions and Analytics in SingleStore
The last decade as seen an incredible rise in specialized database systems. Since its inception, SingleStoreDB has emerged as a revolutionary database designed with the versatility to run both operational and analytical workloads for some of the world’s largest financial, telecom, high-tech and energy companies.
SingleStore-V: An Integrated Vector Database System in SingleStore
As vector databases continue to gain significant attention due to the rise of Large Language Models (LLMs), there’s an even bigger customer demand for a vector database that maintains optimal performance and interoperability with SQL — all with the ability to combine vector search with filters, joins and full-text search.
The Biggest Technology Trends In Accounting And Finance
The accounting and finance industry is being reshaped by major technology trends such as artificial intelligence, automation, cloud computing, and advanced data analytics. These innovations are transforming how organizations manage financial processes, improve accuracy and compliance, enhance decision-making, and adapt to an increasingly digital and data-driven business environment.
py2eviews: Python + EViews
The purpose of the py2eviews package is to make it easier for EViews and Python to talk to each other, so Python programmers can use the econometric engine of EViews directly from Python.
DataWalk Listed in Four Gartner® Hype Cycle™ Reports
DataWalk has been recognised in four Gartner Hype Cycle reports, highlighting its growing relevance in the data and analytics landscape. This recognition reflects DataWalk’s strengths in advanced data integration, analysis, and intelligence capabilities that support organisations in transforming complex data into actionable insights. Being featured across multiple Hype Cycles also demonstrates DataWalk’s alignment with emerging technologies and its potential impact on future data-driven decision-making.
DataWalk Receives Ally Financial’s 2023 Technology Disruptor Award
DataWalk has received Ally Financial’s 2023 Technology Disruptor Award, recognising its innovative approach in delivering advanced data intelligence solutions. The award highlights DataWalk’s ability to help organisations unlock value from complex data environments through scalable analytics, powerful data integration, and actionable insights. This achievement reflects strong industry confidence in DataWalk’s technology and its impact on modern data-driven decision making.
DataWalk Software Selected by U.S. Department of Defense Office of Inspector General to Help Detect COVID-19 Fraud
DataWalk software has been selected by the U.S. Department of Defense Office of Inspector General to support efforts in detecting COVID-19 related fraud. This selection highlights DataWalk’s capability in handling large-scale, complex data investigations by enabling advanced analytics, data integration, and relationship analysis. The use of DataWalk in this context demonstrates its role in strengthening oversight, transparency, and fraud detection within high-security government environments.