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.
Scale to Survive: How to Attract Investors in a Post-SVB World
In this contributed article, Eric Kavanagh is CEO of The Bloor Group, focuses on a recent conversation between a pair of tech executives: Software AG CEO Sanjay Brahmawar and former IBM president and Red Hat CEO Jim Whitehurst. The two leaders talked about innovations and investing in challenging financial times, a topic made even more relevant in the wake of the SVB news.
Consumers Don’t Have To Leave Your CFI to Bank in a Better One
In this contributed article, Uday Akkaraju, CEO of BOND.AI, discusses how AI can help CFIs (community-based financial institutions) meet the needs of their consumers. In 2020 and 2021, 98% of community banks offered mobile banking, yet new account openings dropped as much as 51% to 25% for community banks and credit unions. Instead of competing head on with the big banks on product offerings, CFIs should strive to understand their unique community needs.
How Will Artificial Intelligence Impact Investing in 2023 and Beyond
In this contributed article, IT and digital marketing specialist Natasha Lane points out that artificial intelligence has already permeated our everyday lives. We see it everywhere, even when we’re not aware of it. From the algorithm that drives our online searches to the app we use on our phones, AI is all around us. What has it done for the world of investing, and what can we expect in 2023 and beyond?
Report: Audit Industry Rising to the Data Analytics Challenge
With businesses facing the strongest economic headwinds in years, the Chartered Institute of Internal Auditors (Chartered IIA) is urging internal auditors to embrace data analytics to navigate more risky, uncertain, and volatile times ahead. The new report, “Embracing data analytics: Ensuring internal audit’s relevance in a data-led world,” from Chartered IIA in partnership with AuditBoard aims to encourage internal audit to fully embrace data analytics and support the organization in doing the same.
Synthesized Solidifies its Partnership with Deutsche Bank, Providing High-quality Synthetic Data for AI and ML Testing Purposes
Synthesized Ltd, a leading synthetic data generation platform, which provides engineering and data science teams a quick way to create and share trusted data through advanced machine learning and automation, announced that Deutsche Bank is investing in its next phase of growth and technology innovation development.
ACH Fraud and AI/ML – Much Work to be Done
In this article, I give focus to the situation with the financial services industry embracing AI/ML to a high degree in so many areas, one would think AI/ML would be used to detect and prevent ACH fraud, but this is not generally the case. Even the largest banking institutions seem to wash their hands with regards to ACH fraud, leaving their customers to absorb the losses.