Kiran Kodithala’s Post

At GCOM, we harness the power of AI/ML to tackle various challenges for our customers. Lately, fraud has emerged as a pressing issue for our higher ed clients. Colleges and universities are increasingly falling victim to fraudsters who submit fake applications to snatch financial aid. Learn how using adaptive AI can help mitigate financial aid fraud in our latest blog. #outcomedrivengov #gcom #AI #ML #FraudPrevention #HigherEd   https://lnkd.in/eDti-KdQ

🔐 Navigating student fraud is more crucial than ever, and our blog has the insights you need! Find key takeaways from our global education webinar, tackling the evolving landscape of fraud targeting universities. 🤖 From bot attacks to deepfakes, we delve into the challenges and solutions institutions face in securing payments amidst the AI boom. [https://lnkd.in/eqNGPUkT] 💡 Learn how to keep up with fraudsters, simplify payment processes, and harness tech tools to prevent fraud before it happens. Stay informed, stay secure and don't miss out on the webinar recording! 🎥 Read the full blog here: https://lnkd.in/eqNGPUkT #FraudPrevention #SecurePayments #FinEdu #Education #Fraud

Using AI to Find Fraud Mississippi State Auditor Shad White (Mississippi Office of the State Auditor) announced that his office has utilized advanced machine learning, dubbed "Operation Payback," to identify and address unemployment compensation fraud. Highlighting the critical role of technology in detecting fraud, White described how data analytics previously uncovered $600,000 in savings by identifying ineligible and deceased Medicaid recipients. Additionally, AI was used to identify fraudulent practices among vendors who circumvented regulations by posing as one-time service providers. Partnering with a data analytics firm, White's office also conducted a performance audit in six school districts to enhance financial efficiency. Committed to further utilizing AI to safeguard taxpayer money, White warned potential fraudsters of their vigilant and technologically advanced monitoring efforts. Read more here: https://lnkd.in/grbaj3ks #FraudDetection #AI #MachineLearning #DataAnalytics #GovernmentEfficiency #TaxpayerProtection #ArtificialIntelligence #Mississippi #Auditor #AINews #ML

【Real-Time Fraud Detection Using Machine Learning】 Full article: https://lnkd.in/gma2g9N9 (Authored by Benjamin Borketey, from The University of Akron, USA.) The growing popularity of #credit_cards has resulted in a rise in online business transactions and the convenience of electronic payment systems. However, this widespread adoption has also given rise to fraudulent activities. With the increasing prevalence of electronic transactions, detecting and preventing fraudulent activities has become more challenging. This study identifies the most efficient methodology for detecting fraud, identifies the most important features using the chosen model, and determines the percentage of fraudulent activities detected (detection rate) by the model in the riskiest bin in real-time. #Fraud_Detection #Machine_Learning 

What’s the point of a degree? 👇 ‘‘The changing geography of jobs’ is a report from the Institute for Fiscal Studies which signposts discouraging trends for students at university – and should perhaps point youngsters still at school to reassess their options. The share of UK workers with a degree has risen (in parallel with the formation and expansion of so many new universities) from 13 per cent in 1993 to 42 per cent last year. But that shift has also brought a huge over-supply of holders of what turn out to be all-but-worthless degrees, no longer guaranteeing better prospects than those of peers who went straight into work from school. ‘Jobs that actually require a degree, says the IFS, are increasingly concentrated in London. But even in the capital one third of graduates do non-graduate jobs – all those baristas and shop assistants – while in places such as Lincolnshire and Cumbria, fewer than half of graduates find work appropriate to their qualifications, compared with almost two thirds in 1993. And the ‘graduate wage premium’ (how much more grads are likely to earn on average compared with non-grads) has fallen in all regions outside London. ‘Heaven knows what the advance of AI will have done to these statistics, and the career landscape they encapsulate, in another 30 years’ time. Few believe Elon Musk’s prediction that all human jobs will disappear, but those that remain may divide sharply between the executive and the menial, with ever fewer in the upper stratum.’ ✍️ Martin Vander Weyer

【Real-Time Fraud Detection Using Machine Learning】 Full article: https://lnkd.in/g2n_fPCZ (Authored by Benjamin Borketey, from The University of Akron, USA.) The growing popularity of #credit_cards has resulted in a rise in online business transactions and the convenience of electronic payment systems. However, this widespread adoption has also given rise to fraudulent activities. With the increasing prevalence of electronic transactions, detecting and preventing fraudulent activities has become more challenging. This study identifies the most efficient methodology for detecting fraud, identifies the most important features using the chosen model, and determines the percentage of fraudulent activities detected (detection rate) by the model in the riskiest bin in real-time. #Fraud_Detection #Machine_Learning 

In 2022, the Supplemental Nutrition Assistance Program (SNAP) distributed an astounding $113.9 billion to almost 22 million households in the US. But did you know that up to $4.7 billion is being lost annually to fraud? The solution may lie in AI and machine learning, which can detect fraud in real-time. Ali Solehdin, Chief Product and Strategy Officer at INETCO, dives into how AI and Machine Learning are becoming the heroes in fraud detection and how they can help protect our communities most vulnerable citizens. Read full article first published on the Banking Exchange. #EndEBTFraud #AI #ML #SNAPFraud #INETCO #BullzAI

The Art of Uncovering Deception: Exploring the Science of Fraud Detection The Art of Uncovering Deception: Exploring the Science of Fraud Detection Introduction Fraud has been a persistent issue throughout human history, causing significant financial losses and damaging trust in various sectors. As technology advances, so do the methods employed by fraudsters, making fraud detection an increasingly complex task. However, with the help of cutting-edge technologies […] https://lnkd.in/dDGf6J5q

The Art of Uncovering Deception: Exploring the Science of Fraud Detection The Art of Uncovering Deception: Exploring the Science of Fraud Detection Introduction Fraud has been a persistent issue throughout human history, causing significant financial losses and damaging trust in various sectors. As technology advances, so do the methods employed by fraudsters, making fraud detection an increasingly complex task. However, with the help of cutting-edge technologies […] https://lnkd.in/dWZ7aqrT

In 2022, the Supplemental Nutrition Assistance Program (SNAP) distributed an astounding $113.9 billion to almost 22 million households in the US. But did you know that up to $4.7 billion is being lost annually to fraud? The solution may lie in AI and machine learning, which can detect fraud in real-time. Ali Solehdin, Chief Product and Strategy Officer at INETCO, dives into how AI and Machine Learning are becoming the heroes in fraud detection and how they can help protect our communities most vulnerable citizens. Read full article first published on the Banking Exchange. #EndEBTFraud #AI #ML #SNAPFraud #INETCO #BullzAI