 Banking Fraud Prevention With DeepSeek AI and AI Explainability Feb 26th 2025, 23:00, by Swapnil Patil Fraud detection in banking has significantly advanced with artificial intelligence (AI) and machine learning (ML). However, a persistent challenge is the explainability of fraud decisions — how do we justify why a particular transaction was flagged as fraudulent? This article explores how DeepSeek AI enhances fraud prevention through: |  Identity and Access Management Solution to Safeguard LLMs Feb 26th 2025, 21:45, by Anant Wairagade In the era of artificial intelligence, the use of large language models (LLMs) is increasing rapidly. These models offer amazing opportunities but also introduce new privacy and security challenges. One of the essential security measures to address these challenges involves securing access to the LLMs so that only authorized individuals have access to data and permissions to perform any action. This can be achieved using identity and access management (IAM). Identity and access management act as a security guard for critical data and systems. This approach operates just like a physical security guard who controls who can enter a building and who has access to security camera footage. When entering a building, security guards can ask for your identity, where you live, etc. They can also keep an eye on your activity around or inside the building if they see something suspicious. Similarly, identity and access management ensure that only authorized individuals can enter and access large language models. IAM also keeps a log of user activities to identify suspicious behavior. |  How to Scale Elasticsearch to Solve Your Scalability Issues Feb 26th 2025, 20:30, by Vivek Kumar With the evolution of modern applications serving increasing needs for real-time data processing and retrieval, scalability does, too. One such open-source, distributed search and analytics engine is Elasticsearch, which is very efficient at handling data in large sets and high-velocity queries. However, the process for effectively scaling Elasticsearch can be nuanced, since one needs a proper understanding of the architecture behind it and of performance tradeoffs. While Elasticsearch's distributed nature lets it scale horizontally, that also introduces more complexities in how data is spread and queries served. One of the theoretical challenges associated with scaling Elasticsearch is its inherently distributed nature. In most practical scenarios, reads on a standalone node will always outperform reads in a sharded cluster. This is because, in a sharded cluster, data ownership is spread across multiple nodes. That means every query may have to shoot multiple requests to different nodes, aggregate the results back at the coordinating node, and return the result. This extra network overhead will easily result in increased latency compared to a single-node architecture where data access is straightforward. |  AI-Powered Professor Rating Assistant With RAG and Pinecone Feb 26th 2025, 19:15, by Vaibhavi Tiwari Artificial intelligence is transforming how people interact with information, and retrieval-augmented generation (RAG) is at the forefront of this innovation. RAG enhances large language models by enabling access to external knowledge bases, providing highly accurate and context-aware answers. In this tutorial, I'll guide you through building an AI-powered assistant using RAG to create a smarter, more informed system for rating professors. Using tools like Next.js, React, Pinecone, and OpenAI's API, this project is designed to be approachable for all, whether you're just starting or already have experience in AI. |  A Platform-Agnostic Approach in Cloud Security Feb 26th 2025, 18:00, by Natapong Sornprom Companies are now turning to data as one of the most important assets in their businesses, and data engineers are in the midst of managing and improving this asset and its effectiveness. In addition, the integration of data engineering with the use of cloud computing offers scalability, accessibility, and reduced expenses. However, there are security challenges that come with this integration that need to be solved. It is essential to know the rates and causes of cloud security incidents in order to identify the vulnerabilities of the cloud systems. The cost of security incidents in businesses has shockingly increased to 61% in 2024 from the previous year's 24%. |  10 Best Practices for Managing Kubernetes at Scale Feb 26th 2025, 17:00, by Srinivas Chippagiri As organizations use microservices and cloud-native architectures, Kubernetes is becoming the norm for container orchestration. As much as Kubernetes simplifies deploying and managing containers, workloads at scale make life complex, and robust practices are necessary. In this article, I will cover technical strategies and best practices for workload management at scale in Kubernetes. |  PostgreSQL 12 End of Life: What to Know and How to Prepare Feb 26th 2025, 16:00, by Vivek Singh Amazon Aurora PostgreSQL-compatible edition major version 12.x and Amazon RDS for PostgreSQL 12 reach the end of standard support on February 28, 2025. Higher database versions introduce new features, enhancing operational efficiency and cost-effectiveness. Identifying qualified databases and upgrading them promptly is crucial. As the end of standard support is approaching, it's crucial for database administrators and developers to understand the implications and plan for the future. This article discusses PostgreSQL 12's end-of-standard support for Aurora and RDS PostgreSQL 12, Amazon RDS extended support, upgrade options, and the benefits of moving to PostgreSQL 16. | |
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