The Government Needs Fast Data: Why is the Federal Reserve Making World-altering Decisions on Stale Data? 

In this contributed article, Alex Izydorczyk, founder and CEO of Cybersyn, discusses an important question: Should there ever be “very big surprises” (or any surprises, for that matter) in the data on which the Federal Reserve bases decisions on?

Cash Treasury Trading in the Age of AI

In this contributed article, Shankar Narayanan, Head of Trading Research, Quantitative Brokers, discusses how In the era of artificial intelligence, cash treasury trading presents a unique opportunity to integrate new technologies, enhance trading methodologies and meet the growing demands of a rapidly evolving market. 

Research Highlights: Unveiling the First Fully Integrated and Complete Quantum Monte Carlo Integration Engine

Quantinuum, a leading integrated quantum computing company has published full details of their complete Quantum Monte Carlo Integration (QMCI) engine. QMCI applies to problems that have no analytic solution, such as pricing financial derivatives or simulating the results of high-energy particle physics experiments and promises computational advances across business, energy, supply chain logistics and other sectors.

Financial Institutions are Strengthening Business Intelligence Reporting and Data Warehousing through Workload Automation and Orchestration

In this contributed article, Ryan Dimick, Chief Technology Officer at SMA Technologies, discusses how financial institutions like banks and credit unions are some of the most data-rich organizations in the world. With access to members’ spending habits – from direct deposits and cash inflows to expenditures like mortgages and payments for bills – there’s a treasure trove of data. So, why are some banks and credit unions often disconnected and unable to understand their customers or members?

The Rise of Intelligent Apps in Finance

In this contributed article, Rohit Gupta, CEO and Founder, Auditoria.AI, discusses how the future of finance hinges delicately on the ability to adapt. Unfortunately, the finance department is often the last stop on the progress tour – and sometimes overlooked altogether. Optical Character Recognition (OCR) and Robotic Process Automation (RPA) are two of the most common automation tools in corporate finance today. While both tools serve a specific purpose – RPA is programmed to execute high-volume, repeatable tasks, and OCR helps extract structured data in an automated fashion – as standalone solutions, they no longer pull their weight.

Generative AI Report: Pilot Taps OpenAI to launch Pilot GPT

Welcome to the Generative AI Report, a new feature here on insideBIGDATA with a special focus on all the new applications and integrations tied to generative AI technologies. We’ve been receiving so many cool news items relating to applications centered on large language models, we thought it would be a timely service for readers to start a new channel along these lines. The combination of a large language model, fine tuned on proprietary data equals an AI application, and this is what these innovative companies are creating. The field of AI is accelerating at such fast rate, we want to help our loyal global audience keep pace.

Money Laundering Finally Meets Its Match – Federated Learning Will Change the Game

In this contributed article, Laurence Hamilton, Chief Commercical Officer, Consilient, discusses the next generation federated learning solution for financial crime detection. Such a solution will help enable banks and other financial institutions to detect high-risk entities and behaviors by sharing insights across different data environments and organizations.

AI Empowers Microfinance: Revolutionizing Fraud Detection

In this sponsored article, Dmitry Dolgorukov, CRO and Co-Founder of HES FinTech, suggesets that to effectively combat fraud, microfinance institutions must establish robust fraud detection systems. Early detection and prevention of fraudulent activities are vital in minimizing financial impact and safeguarding the funds of vulnerable customers. Microfinance institutions face a significant menace in the form of fraudulent activities, endangering their provision of financial services to underserved communities. Fraud not only leads to substantial financial losses but also erodes trust in the system, impeding the mission of microfinance institutions to foster inclusive growth and alleviate poverty.

Why FinOps Needs DataOps Observability

In this special guest feature, Chris Santiago, Vice President/Solutions Engineering, Unravel Data, talks about controlling cloud spend through three phases of the FinOps lifecycle.

Video Higlights: Humanizing Digital Banking with Generative AI

In the video presentation below, our friends over at DeepBrain explore how video synthesis technology can be used to bring a human touch to digital banking.