Selim Elhadef’s Post

With advances in AI pushing the bounds of what machines can and should do, banks and insurers are exploring how to safely maximize AI’s potential. With the participation of EY, Tapestry Networks recently brought together the Financial Services Leadership Network of #banking and #insurance executives and SMEs from large tech companies to discuss how they are pursuing a sound AI strategy. Follow along with their latest dialogue. #AI #GenAI #financialservices #digitaltransformation

With advances in AI pushing the bounds of what machines can and should do, banks and insurers are exploring how to safely maximize AI’s potential. With the participation of EY, Tapestry Networks recently brought together the Financial Services Leadership Network of #banking and #insurance executives and SMEs from large tech companies to discuss how they are pursuing a sound AI strategy. Follow along with their latest dialogue. #AI #GenAI #financialservices #digitaltransformation

Are you in the money game? 💰 There are a few ways how your job could soon change. One survey found that 75 percent of junior financial services workers believe AI could automate up to a quarter of their workload. How Will Generative AI Change Finance Work? 👇 Generative AI tools will streamline transaction processing by automating many of the routine tasks, such as data entry, validation, and reconciliation. This will mean banks and other financial institutions can offer faster, more reliable, and perhaps even cheaper services to their clients. - Detecting and preventing fraud - GenAI can do this far more quickly than any human and can also report results in a way that makes it simple for a human risk assessor to step in and understand why a particular transaction could be suspicious. - Managing investments - AI algorithms can assist with analyzing markets, assessing the performance of companies and other assets, identifying trends, and evaluating the effectiveness of investment strategies. - Insurance underwriting - GenAI is able to understand and interpret information around risk, providing more detailed and accurate assessments that will help underwriters make more informed decisions. - Regulation and compliance - GenAI will help with analyzing and interpreting complex regulatory texts and legal documents. - Customer services - chatbots and automated customer service systems have been frustrating in the past. But a new generation of ChatGPT-like chatbots, powered by large language models (LLMs), will answer many questions more quickly and efficiently than human operators, improving customer satisfaction and retention rates. So much to do and so many opportunities for smart integrations. We are rolling up our sleeves at AQ22. Source: Forbes / Bernard Marr #AQ22 #AIagents #finance

🤖 AI MEDIATED BY HUMANS 🧑 When we talk about AI, there is always some resistance and mistrust about the results generated. Especially when we talk about the banking sector, where we are dealing with a very important asset for people: their money. 💡In Joao Jarego's opinion, the future lies in AI mediated by humans. In other words: AI will be used by professionals to optimise their operations, but they will curate the AI results and communicate the final decision to their clients. ⚠️ Although some operations, such as sending alerts or checking balances, can be carried out by pure AI (through chatbots, for example), we must be careful with operations that involve more significant liability, such as financial advice. What is your opinion? Would you use the results of AI directly, or would you prefer to have a human in the loop? Let us know in the comments ⤵️ Want to know more? Check the full conversation with João Jarego here ➡️ https://lnkd.in/gGUh8Hkg #quasinfalivel #newsletter #qinews #qitalks #artificialintelligence #banking #AIbanking #bankingAI #bankinginnovation #AIbot #frauddetection #aialgorithms #aianalytics #processmanagement #softwareprocess #softwaredevelopment #qualityassurance #qualitymanagementsystem #softwareprocessquality #qualitymanagement

Three critical use cases, for Gen AI in Payment Systems. Read more on our site: https://lnkd.in/djEJq-FM #iso20022 #payments #aplonhub #FINaploAI #BankingAI #LLM #chatgpt #generativeai #PaymentComponents

Having experience in Banking and Insurance, where I've been involved in building solutions using Generative AI, I understand the critical importance of incorporating Safety and Regulation compliance into the regular build pipeline for Generative AI models. To achieve this, a comprehensive framework has been developed, drawing upon multiple safety benchmarks such as the Google Research AI Safety Benchmark. This framework is designed to evaluate the safety risks associated with AI systems that utilize chat-tuned language models. It follows a structured approach to benchmark construction, incorporating specific use cases tailored to the regulatory and banking sectors, along with considerations for system types, language and context parameters, personas, tests, and grading criteria. Within this framework, a taxonomy of 13 hazard categories has been established, with tests addressing seven of these categories. In total, the framework encompasses 50,000 test items, providing a thorough evaluation of AI system safety within the banking and insurance domains. By leveraging this comprehensive framework, organizations can proactively assess and mitigate potential safety risks associated with generative AI models, ensuring compliance with regulatory requirements and industry standards. This proactive approach is essential for maintaining trust and confidence in AI-driven solutions within critical sectors such as banking and insurance. #generativeai #banking #llm

AI and GenAI silent death, a phenomenon which says that technology continues to churn out undesirable results, however relevant stakeholders come to know about it too late to act. Ultimately the AI and GenAI project is ended with at times financial and reputational damage. The World Retail Banking Report suggests that banks building AI and GenAI capabilities must prioritise setting up guardrails and AI observatory with robust KPIs to ensure AI and GenAI outputs are desirable, unbiased, and ethical. #WRBR24 #AI #GenAI https://lnkd.in/ePQkm4kc

📣 So where do we stand on AI adoption?  The latest report from Moody's says that almost 70% of leaders believe #AI will be transformative. Consequently, 90% are looking at integrating AI-powered #risk and compliance solutions into their businesses. As far as the insurance sector goes, AI is in the trial/pilot phase. Key insights: ➡️ Adoption: 55% of #insurers are considering adopton - compared to the banking and fintech sectors, insurance is playing catch-up.  ➡️ Introducing AI into risk & #compliance: 36% of insurers consider the impact of implementing AI in risk and compliance as moderate, closely followed by 32% who believe its impact will be significant.  Read more: https://lnkd.in/d4e8S9WM

How can we use #AI tools to protect low-income people from unfair debt collection and other risks? CGAP piloted an AI-powered tool in #India to assess consumer risks in #DigitalCredit by quickly analyzing large amounts of social media posts from customers. Once set up, supervisors can use these systems to track complaint trends in real-time at low cost. Watch now to learn more👇 #InclusiveFinance

MIDWEEK Read: Is AI testing data ‘still embryotic’? YES, according to Noah NZUKI of Cognizant. Read here why https://lnkd.in/dJB4uAaa #TestingData #SoftwareTesting #SoftwareData #QAtesting #Data #QA