Nov 25Azure Session ManagementSay we are going to create an application for customer management. Which requires faster interaction from the customer to the application. So we need to manage the session with cache. Users can log in from any device and use it seamlessly from any other device without any issues.Azure7 min readAzure7 min read
Nov 25Snowflake and DataSnowflake is a cloud-based data warehousing platform that provides a fully managed and scalable solution for storing and analyzing large volumes of data. It is designed to be highly performant, flexible, and accessible, allowing organizations to efficiently manage and query their data. Here are key features and aspects of Snowflake: …Snowflake5 min readSnowflake5 min read
Nov 25Securing access to Azure servicesSecuring access to Azure services, including Azure AI services like Speech, involves managing and protecting the authentication credentials (such as subscription keys or service principal credentials). Here are steps to securely handle these credentials in an Azure environment: 1. Azure Managed Identity (Recommended for Azure Functions): - If your application…Azure2 min readAzure2 min read
Nov 25Speech-to-Text Conversion with AzureObjective: Create a system that leverages Azure services for converting spoken language into written text. This project focuses on using Azure Speech Services to perform speech-to-text conversion. Technologies and Services Used: - Azure Speech SDK: To interact with Azure Speech Services. - Azure Speech Services (Speech-to-Text): For converting spoken language…Speech Recognition7 min readSpeech Recognition7 min read
Nov 25Put AI for Customer Services1. Define the customer experience: - Definition: Customer experience (CX) is the overall perception a customer has with a brand based on all interactions and touchpoints. - Example: Define whether your AI implementation aims to provide a personalized, efficient, or proactive customer experience. 2. Understand your customer: - Definition: Gain…Artificial Intelligence2 min readArtificial Intelligence2 min read
Nov 25AI Embedding with Vector DatabaseEmbedding, in the context of machine learning and natural language processing, refers to the representation of objects, such as words or sentences, in a continuous vector space. The goal of embedding is to capture semantic relationships, similarities, and contextual information between words or entities, making it easier for machine learning…Artificial Intelligence9 min readArtificial Intelligence9 min read
Nov 25Prompt EngineeringHow to create a proper prompt for your query is very important.Prompt Engineering6 min readPrompt Engineering6 min read
Nov 25Building a Financial AssistantPower of 3-Pipeline Design in ML: Building a Financial Assistant In the realm of Machine Learning (ML), the 3-Pipeline Design has emerged as a game-changer, revolutionizing the approach to building robust ML systems. This design philosophy, also known as the Feature/Training/Inference (FTI) architecture, offers a structured way to dissect and…Finance4 min readFinance4 min read
Nov 25AWSome DayHere are a few screens shared from the AWSome Day online conference.AWS4 min readAWS4 min read
Nov 25Generative AI in the Financial SectorGenerative AI and large language models (LLMs) can be used at scale to provide new insights to financial analysts, driving operational efficiencies and execution velocity. Generative AI and LLMs in the Financial Sector Generative AI and LLMs have the potential to revolutionize the financial sector by automating many of the…Generative Ai Tools5 min readGenerative Ai Tools5 min read
