Technology

Simplifying AWS Testing: A Guide to AWS SDK Mock

Oct 17, 2024 By Shaun Duncan In Speedscale

Testing AWS services is an essential step in creating robust cloud applications. However, directly interacting with AWS during testing can be complicated, time-consuming, and expensive. The AWS SDK Mock is a JavaScript library designed to simplify this process by allowing developers to mock AWS SDK methods, making it easier to simulate AWS service interactions in a controlled environment. Primarily used with AWS SDK v2, AWS SDK Mock integrates with Sinon.js to mock AWS services like S3, SNS, and DynamoDB.

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The History of Chatbots: A Timeline of Conversational AI

Oct 17, 2024 By Yellowfin Team In Yellowfin

From ancient Greek myths of talking statues to the modern-day Alexa and Siri, the concept of machines capable of understanding and responding to human language has captivated us for centuries. In recent years, this concept has evolved into AI chatbots, highly sophisticated tools that can read our queries and perform tasks ranging from customer service to automated alerts.

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AI Adoption in SMBs: Key Trends, Benefits, and Challenges from 100+ Companies

Oct 17, 2024 By Databox In Databox

AI Adoption in SMBs: Key Trends, Benefits, and Challenges from 100+ Companies With larger competitors already using AI to streamline operations and gain a competitive edge, SMBs can’t afford to fall behind. But for many, adopting AI is easier said than done. Limited budgets, lack of in-house expertise, and the fear of wasting time and resources on the wrong tools often leave business owners stuck in decision paralysis.

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AWS on the future of data lakes, metadata and AI innovation

Oct 17, 2024 By Annie Sullivan In Fivetran

The Director of Product Management at AWS sat down with Fivetran to unpack how Iceberg and metadata are reshaping the future of data lakes, data warehouses and AI.

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RAG Application with Kong AI Gateway, AWS Bedrock, Redis and LangChain

Oct 17, 2024 By Claudio Acquaviva In Kong

For the last couple of years, Retrieval-Augmented Generation (RAG) architectures have become a rising trend for AI-based applications. Generally speaking, RAG offers a solution to some of the limitations in traditional generative AI models, such as accuracy and hallucinations, allowing companies to create more contextually relevant AI applications.

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Episode 11: The future of data lakes: Open table formats, metadata and AI | AWS

Oct 17, 2024 By Fivetran In Fivetran

Paul Meighan, Director of Product Management at AWS, shares how enterprises are increasingly looking for ways to integrate more data sources in their environment — especially with data lakes. From turning S3 buckets into databases to establishing better metadata layers, Meighan explores the rapid evolution of data lakes alongside data warehouses. He also explains the pivotal role AI, ML and GenAI workloads and applications will play in large metadata environments, driving innovative analytics and business insights.

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Introducing Testsigma Copilot - GenAI-Powered Assistant for QA Teams

Oct 17, 2024 By Testsigma In Testsigma

Testsigma Copilot is a GenAI assistant for QA teams that lets you generate test cases and scenarios with just designs, screenshots, or user stories. ️ No manual test development effort️ No missed edge cases️ No delayed or lengthy test cycles.

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The Impact of AI and Machine Learning In Quality Assurance

Oct 16, 2024 By Pratik Patel In Alphabin

Some of the popular AI tools people and corporations are using now include ChatGPT, Google Gemini, and Microsoft Copilot. This has resulted in higher usage and adoption of this technology and this has caused some worry among people, particularly in terms of employment. However, for software testers, these changes should be seen as a chance to improve rather than a threat.

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Generative AI: The New Age of Document Processing

Oct 16, 2024 By Ammar Ali In Astera

What do you think of when you think of generative AI? Generating photos, animations, and videos? Coding and solving math problems? Writing content and brainstorming with a chatbot? These have all driven plenty of excitement around AI, but there’s so much more to it than that! From an enterprise perspective, Generative AI’s impact on intelligent document processing technology is remarkable.

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How to Quickly Scale Content Marketing with HubSpot's AI Tools

Oct 16, 2024 By Databox In Databox

Producing high-quality content on a consistent basis is no small feat. Even seasoned content teams struggle to handle the pressure of churning out work that resonates, converts and ranks (especially with Google’s slew of algorithm updates ). At companies with smaller in-house marketing teams without specialized content professionals? That pressure can feel…crushing.

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