Spade’s Post

Join me at #fintechdevcon to learn about harnessing AI for faster QA! I hope to see you there!

🚀 Exciting News for 𝐅𝐢𝐧𝐭𝐞𝐜𝐡 𝐂𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬! 🚀 Are you tired of battling fraud and safeguarding your company's reputation? Look no further! Introducing a robust Python solution for fraud detection in fintech transactions. 𝐏𝐫𝐨𝐛𝐥𝐞𝐦: Fintech companies face immense challenges in detecting and preventing fraudulent activities, leading to significant financial losses and reputational harm. But don't worry, there's a way out! 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Our Python-based solution utilizes cutting-edge techniques in machine learning, specifically the RandomForestClassifier model, to analyze transaction data and flag potential fraud with remarkable accuracy. By leveraging this solution, fintech companies can proactively combat fraud, mitigate risks, and protect their bottom line. 𝐊𝐞𝐲 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐬: ✅ Easy integration: Seamlessly incorporate this solution into your existing workflow. ✅ Customizable: Tailor the model to suit your specific business needs and data requirements. ✅ Scalable: Handle large volumes of transaction data efficiently and effectively. ✅ Performance-driven: Achieve high accuracy rates in fraud detection, backed by rigorous evaluation metrics. Join the ranks of leading fintech innovators who are staying ahead of the curve and safeguarding their operations against fraudulent activities. Say goodbye to financial losses and hello to peace of mind with our Python solution for fraud detection! #Fintech #FraudDetection #MachineLearning #Python #Innovation #TechSolution #LinkedInPost #software_engineer #data_science

Great to participate in this discussion over regulators response to AI. Check it out below.

Great to be a part of this article from FIN TECH TIMES looking at how regulators are reacting to the speed of AI development. Some really insightful comments from many thought leaders in there - worth a read: https://lnkd.in/e7eRFjqC Gregory Hanson, Rupert Lee-Browne, Kate Leaman, Mohammad Uz-Zaman, Jordan Lawrence, Teodor Blidarus, Francis Bignell #financegoals #finance #fintech #fintechnews

Recently, iThome reported on how E.Sun Financial Holding, a leading financial institution in Taiwan, develops GenAI. E.Sun introduced its GenAI platform, GENIE, which was launched internally earlier this year, featuring 11 active application services and one in development. There are three articles introducing how E.Sun is developing GenAI. First, we discuss how E.Sun is changing its AI strategy in response to GenAI. Second, we introduce the GenAI platform, GENIE. In the last article, we introduce the 12 GenAI application services at E.Sun. #fintech #banking #GenAI #digitalbanking #fintechnews 1️⃣玉山開始擁抱生成式AI，今年目標要走向業務 因應生成式AI浪潮，玉山AI策略跟著轉向，過往紮實的基礎建設，成了快速擁抱生成式AI的關鍵 https://lnkd.in/dPghcqub 2️⃣一支API提供多項應用服務，玉山通用型GenAI平臺大解密 不到2年，玉山向內部推出通用型GenAI平臺GENIE，透過API串接提供全行生成式AI應用服務 https://lnkd.in/dGtBF65m 3️⃣玉山怎麼用GenAI？12項應用服務大解析 玉山先聚焦12項GenAI應用服務，目前已開放行員使用11項服務，1項服務正在開發中 https://lnkd.in/d53fBV3E

𝗛𝗮𝗿𝗻𝗲𝘀𝘀𝗶𝗻𝗴 𝗔𝗜: 𝗦𝗮𝗳𝗲𝗴𝘂𝗮𝗿𝗱𝗶𝗻𝗴 𝗙𝗶𝗻𝗮𝗻𝗰𝗶𝗮𝗹 𝗧𝗿𝗮𝗻𝘀𝗮𝗰𝘁𝗶𝗼𝗻𝘀 𝗶𝗻 𝘁𝗵𝗲 𝗠𝗼𝗱𝗲𝗿𝗻 𝗘𝗿𝗮 🤖 The rise of artificial intelligence (AI) has emerged as a transformative force reshaping the landscape of financial safeguards. The merging of AI and financial security unveils seven pivotal trends poised to revolutionize the detection and prevention of financial fraud. ☑️ Real-Time Predictive Solutions ☑️ Self-Supervised Learning Systems ☑️ Transparent Decision-Making ☑️ Integration of Large Language Models ☑️ Behavioral Analysis ☑️ AI as Infrastructure ☑️ The AI Arms Race Embracing AI is not just a choice but a necessity for governments and corporations seeking to secure financial systems and drive innovation. By investing in it, organizations can harness AI's transformative power for sustained success and societal benefit in safeguarding financial transactions. Read the complete article in Entrepreneur Media by Vishal Mehta. Ctto Share your thoughts in the comments.🔻 ➖➖➖ For the last 20 years, I've been focusing on Data Harmony. Data Harmony is the integration of data from various sources to produce timely and accurate reporting for your organization. I'm so passionate about this that I've built patented software to automate documentation, testing, and maintenance of your enterprise software while automating the integration between multiple cloud systems. My Data Harmony Process is my go-to for my consulting clients. However, for a limited time, I've made these tips & tricks available in my Financial Reporting Secrets PDF. ***** 👉 Type "PDF" and I will send you the CHECKLIST, so you can implement this in your own organization. https://ayr.app/l/VwFr #innovation #businessintelligence #finance #fintech #automation #businessstrategy

Here, we take a look back at five of the top AI stories from June, featuring Vertex, Nubank, Backbase, Hyperplane, IBM, AccountsIQ and more. https://lnkd.in/eNgq2Ukr #GenAI #fintech #growthinvestment

TurinTech AI Joins the NayaOne Tech Marketplace “Partnering with NayaOne allows us to bring our advanced AI-driven code optimisation solutions to more financial institutions, helping them achieve their goals of efficiency and sustainability. We are excited to see the transformative impact our technology will have on the industry.” Dr. Leslie Kanthan, PhD CEO, TurinTech AI https://lnkd.in/gYNRAaqV Varun Resh Maddali #fintech #finance #banking #paytech #payments #fintechnews #paymentsnews

🚀 𝐄𝐧𝐡𝐚𝐧𝐜𝐢𝐧𝐠 𝐂𝐫𝐞𝐝𝐢𝐭 𝐂𝐚𝐫𝐝 𝐅𝐫𝐚𝐮𝐝 𝐃𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧 𝐰𝐢𝐭𝐡 𝐄𝐱𝐩𝐥𝐚𝐢𝐧𝐚𝐛𝐥𝐞 𝐀𝐈 𝐚𝐧𝐝 𝐌𝐋 🚀 Excited to share a comprehensive flow diagram showcasing real-time credit card fraud detection! This system benefits the banking sector by identifying fraudulent transactions promptly and providing clear explanations to bank managers, thanks to XAI data scientists. It also highlights the crucial role of ML engineers, who utilize advanced methods like Feature Selection PCA, GA, and ensemble voting, along with classifiers such as RFC, DTC, XGBC, ANN, and KNN, to train models and detect fraud accurately. The encrypted data stored in the data warehouse is optimized for further ML analysis, benefiting data scientists and institutions. 💼🔍 #AI #MachineLearning #FraudDetection #Banking #XAI #DataScience #FinTech 😊

Can a Gemini-powered RAG chatbot 🤖💼 make it easier for us to search best banks for investment options? In our professional lives, investment decisions often play an important role. Whether it's buying property, mutual funds, or planning for long-term goals like SIPs, having the right information is paramount. However, the process of staying updated with financial news and finding trustworthy investment options can be time-consuming and daunting. 💼💡 What if I told you there's a solution to streamline this process? With Real-Time Financial News Chatbot powered by the RAG pipeline, we can access the latest financial news and insights instantly, right at our fingertips. No more scouring through newspapers, TV channels, or online articles for updates. This innovative chatbot utilizes large language models and vector databases to provide accurate and up-to-date information on banking performance, interest rates, mutual funds, SIP returns, and more. 📰💬 By leveraging the power of RAG, we can create a seamless experience for investors, saving time and ensuring access to reliable information. To make this possible, I have used the following tools and technologies 🛠️: 👉 LlamaIndex: An LLM Framework for efficient querying and retrieval of data. 👉 FastEmbed: Enables quick and efficient embedding of data. 👉 Qdrant Vector Database: Allows for efficient storage and retrieval of high-dimensional data. 👉 Gemini Pro Model: SOTA model that we use for generating high-quality responses, ensuring that our users always have access to the most accurate and reliable information. To know more in detail, dive into my new Medium article 💰✨: https://lnkd.in/gQiKukJP #ragchatbot #financialnews #geminipro #qdrant