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Tag: Platforms

  • Staying Optimistic During a Tech Industry Slowdown

    Staying Optimistic During a Tech Industry Slowdown Experiencing a slowdown in the tech industry can be unsettling, but maintaining a positive outlook is crucial for navigating these times and positioning yourself for future success. Here’s how to stay optimistic: Focus on What You Can Control Upskill and Reskill: Use this time to learn new technologies,… Read more

  • Using AI for Customer Service

    Using AI for Customer Service Artificial intelligence (AI) is significantly transforming customer service in 2025, offering numerous ways for businesses to enhance efficiency, personalize interactions, and improve customer satisfaction. How AI is Used in Customer Service AI Chatbots and Virtual Assistants: Handling routine inquiries, providing instant support 24/7, guiding users through troubleshooting, and escalating complex… Read more

  • Making Money with AI Tech

    Making Money with AI Tech (2025) There are numerous ways to leverage AI technology to generate income in 2025. Here are some prominent methods and ideas: 1. AI-Powered Content Creation and Editing AI Writing Tools: Utilize AI writing assistants like Jasper AI or Writesonic to generate various forms of content. Offer writing services or create… Read more

  • Top 50 Websites in AI Technology (April 2025)

    Top 50 Websites in AI Technology (April 2025) The field of Artificial Intelligence is vast and rapidly expanding. Here is an extended list of 50 prominent websites covering various aspects of AI technology, including news, research, tools, education, and communities, as of April 2025: OpenAI (openai.com) Organization behind ChatGPT, DALL-E, and leading AI research. Google… Read more

  • Today’s Top Tech Buzzwords

    Hottest Buzzwords in Today’s Tech Industry (April 2025) The tech landscape is constantly evolving, and with it comes a fresh wave of buzzwords. As of April 2025, these are some of the most prominent terms you’ll hear across the industry: Top Trending Buzzwords: Agentic AI: Referring to autonomous AI agents capable of planning and executing… Read more

  • The Costs and Benefits of a Multi-Cloud Strategy

    The Costs and Benefits of a Multi-Cloud Strategy (April 2025) Are the Costs of a Multi-Cloud Strategy Worthwhile? (April 2025) Adopting a multi-cloud strategy, which involves using services from two or more cloud providers (like AWS, Azure, and GCP), presents both compelling benefits and potential cost implications. Determining if the costs are “worthwhile” depends heavily… Read more

  • Top 30 AWS Cloud Interview Questions

    Preparing for an AWS Cloud interview? This comprehensive list of 30 key questions covers a wide range of AWS services and concepts, designed to help you demonstrate your understanding and expertise. 1. What is AWS? Answer: AWS (Amazon Web Services) is a comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from… Read more

  • Databricks High level Concepts

    Databricks High-Level Concepts: A Detailed Overview Databricks High-Level Concepts: A Detailed Overview Databricks is a unified analytics platform built on top of Apache Spark, designed to simplify big data processing and machine learning. It provides a collaborative environment for data scientists, data engineers, and business analysts. Here’s a detailed overview of its key high-level concepts:… Read more

  • Monitoring Apache Kafka infrastructure using New Relic

    One can effectively monitor Apache Kafka infrastructure using New Relic through several methods: 1. Kafka On-Host Integration (Recommended for most self-managed Kafka deployments): 2. Java Agent (for monitoring Java-based Producers and Consumers): 3. OpenTelemetry (for a vendor-agnostic approach): 4. Kafka Connect New Relic Connector (for sending data from Kafka Connect to New Relic): Choosing the… Read more

  • Autonomous Content Creation for Social Media Marketing using Agentic AI

    Here we implement agentic AI use case focusing on a creative and dynamic domain: Autonomous Content Creation for Social Media Marketing. Use Case: A marketing agency wants to automate the process of creating engaging content for various social media platforms for their clients. Instead of relying solely on human content creators, an agentic AI can… Read more

  • Agentic AI Tools

    Agentic AI refers to a type of artificial intelligence system that can operate autonomously to achieve specific goals. Unlike traditional AI, which typically follows pre-programmed instructions, agentic AI can perceive its environment, reason about complex situations, make decisions, and take actions with limited or no direct human intervention. These systems often leverage large language models… Read more

  • Sample Project demonstrating moving Data from Kafka into Tableau

    Here we demonstrate connection from Tableau to Kafka using a most practical approach using a database as a sink via Kafka Connect and then connecting Tableau to that database. Here’s a breakdown with conceptual configuration and Python code snippets: Scenario: We’ll stream JSON data from a Kafka topic (user_activity) into a PostgreSQL database table (user_activity_table)… Read more

  • The Monolith to Microservices Journey: Empowered by AI

    The transition from a monolithic application architecture to a microservices architecture, offers significant advantages. However, it can also be a complex and resource-intensive undertaking. The integration of Artificial Intelligence (AI) and Machine Learning (ML) offers powerful tools and techniques to streamline, automate, and optimize various stages of this journey, making it more efficient, less risky,… Read more

  • The Monolith to Microservices Journey: A Phased Approach to Architectural Evolution

    The transition from a monolithic application architecture to a microservices architecture is a significant undertaking, often driven by the desire for increased agility, scalability, resilience, and maintainability. A monolith, with its tightly coupled components, can become a bottleneck to innovation and growth. Microservices, on the other hand, offer a decentralized approach where independent services communicate… Read more

  • Navigating the Currents of Change: A Comprehensive Guide to Application Modernization

    In today’s rapidly evolving digital landscape, businesses face a constant imperative to adapt and innovate. At the heart of this transformation lies the need to modernize their core software applications. These applications, often the backbone of operations, can become impediments to growth and agility if left to stagnate. Application modernization is not merely about updating… Read more

  • Building a Product Manual Chatbot with Amazon OpenSearch and Open-Source LLMs

    This article guides you through building an intelligent chatbot that can answer questions based on your product manuals, leveraging the power of Amazon OpenSearch for semantic search and open-source Large Language Models (LLMs) for generating informative responses. This approach provides a cost-effective and customizable solution without relying on Amazon Bedrock. The Challenge: Navigating through lengthy… Read more

  • Integrating Documentum with an Amazon Bedrock Chatbot API for Product Manuals

    This article outlines the process of building a product manual chatbot API using Amazon Bedrock, with a specific focus on integrating content sourced from a Documentum repository. By leveraging the power of vector embeddings and Large Language Models (LLMs) within Bedrock, we can create an intelligent and accessible way for users to find information within… Read more

  • Distinguish the use cases for the primary vector database options on AWS

    Here we try to distinguish the use cases for the primary vector database options on AWS: 1. Amazon OpenSearch Service (with Vector Engine): 2. Amazon Bedrock Knowledge Bases (with underlying vector store choices): 3. Amazon Aurora PostgreSQL/RDS for PostgreSQL (with pgvector): 4. Amazon Neptune Analytics (with Vector Search): 5. Vector Search for Amazon MemoryDB for… Read more

  • Google BigQuery

    Google BigQuery is a fully managed, serverless, and cost-effective data warehouse that enables super-fast SQL queries using the processing power of Google’s infrastructure. It’s designed for analyzing massive datasets1 (petabytes and beyond) with high performance and scalability. Here’s a breakdown of its key features and concepts: Core Concepts: Key Features: Use Cases: In summary, Google… Read more

  • Google BigQuery and Vertex AI Together

    Google BigQuery and Vertex AI are powerful components of Google Cloud‘s AI/ML ecosystem and are designed to work seamlessly together to facilitate the entire machine learning lifecycle. Here’s how they integrate and how you can leverage them together: Key Integration Points and Use Cases: Example Workflow: Code Snippet (Conceptual – Python with Vertex AI SDK… Read more