technology
Technology
Bridging Banking and Fintech: Subramanian Narayanaswamy on Fighting Fraud and Expanding Credit
Technology
Half of Enterprise Windows Endpoints Have Not Yet Migrated to Windows 11, According to ControlUp Study
Technology
The AI Startup Outpacing Giants: Meet Snowfire’s CEO Who Turned Business Data Into a $4.1T AI Market Opportunity
Technology
Breaking Down the Business Case for Custom Healthcare Software Solutions in the Post-COVID Era
Is Cybersecurity worth the effort?
Date: June 19, 2025
Business cybersecurity stands as both protector ...
The Renaissance Leader: How This Harvard Grad Combines Art and AI to Save Companies Billions
Date: June 16, 2025
We live in a world where artificial intelligence is reshaping the financial landscape, and Shirish Nimgaonkar emerges as a distinctive figure in enterprise technology. His company, eBlissAI, isn't just another entrant in the $167.42 billion enterprise AI market – it's a testament to how interdisciplinary thinking can transform corporate technology infrastructure....
Cybersecurity breaches continue to plague UK businesses as 69 per cent self-disclose to the ICO
Date: June 13, 2025
46 per cent of remote or mobile workers knowingly put data at risk over the past year...
AI in Financial Crime: New Scams and How to Protect Yourself
Date: June 6, 2025
Wondering how to prevent AI-powered financial scams? Learn the tactics behind AI fraud and actionable ways to reduce (or stop) this threat....
AI and Machine Learning: The Future of Fraud Prevention Is Now
Date: May 23, 2025
Fraud is a shapeshifter. Just when businesses think they’ve caught up, it evolves to become a bigger, faster, more complex threat. Financial institutions and digital-first enterprises are seeing more than just spikes in fraudulent activity. They're witnessing a fundamental shift in how fraud is perpetrated. The challenge now is determining how companies can keep up with the rapidly changing and increasingly sophisticated methods plaguing the industry....
Toward Financial Inclusion: The Benefits and Challenges of Ethical AI
Date: May 22, 2025
Ethically driven artificial intelligence (AI) can bridge the financial access gap by creating algorithms tuned to identify financial potential in traditionally underserved communities. High-quality, diverse datasets that include data from underrepresented groups help ensure fair outcomes in financial services. When organizations apply these balanced algorithms alongside accessible design processes in the development of digital payment services, they can serve commonly overlooked groups such as older adults or low-literacy users. In addition, regular monitoring and audits of AI systems used in digital payments ensure financial institutions operate with transparency and maintain close control of their AI implementation, preventing discrimination and fostering genuine financial inclusion....