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alphabin

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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integrate

Informatica vs. Integrate.io: A Comprehensive Comparison for Data Integration

Oct 16, 2024 By Abe Dearmer In Integrate
Table of Contents In this article, we’ll compare two popular data integration platforms—Informatica and Integrate.io. We’ll explore the key differences between them, focusing on usability, integration capabilities, pricing, scalability, and customer support. By the end, you’ll have a clear understanding of which platform best suits your business’s data integration needs.
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Cigniti

Preventing Delays, Maximizing Efficiency: Real-Time Beacon Monitoring

Oct 16, 2024 By Cigniti Technologies In Cigniti
In today’s fast-paced world, operational efficiency is paramount for businesses striving to stay competitive. The ability to manage time and resources effectively directly impacts overall performance. Our recent tech paper on – ‘Maximizing Efficiency by Real-Time Detection of Beacon Check-In Delays’, highlights how real-time detection technologies can revolutionize industries by identifying and mitigating inefficiencies caused by delays in beacon check-ins.
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How Confluent Fuels Gen AI Chat Models with Real-Time Data

Oct 16, 2024 By Confluent In Confluent
Discover how GEP, an AI-powered procurement company, utilized Confluent's data streaming platform to transform its generative AI capabilities. Integrating real-time data into their AI models enabled GEP to provide a contextual chat-based service. This chatbot allowed GEP customers to build their own tools simply by communicating in English with a chatbot.
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Why Real-Time Data is Crucial to Developing Generative AI Models

Oct 16, 2024 By Confluent In Confluent
Learn how GEP, an AI-powered supply chain and procurement company, harnesses real-time data streaming through Confluent Cloud to fuel its generative AI solutions. With seamless integration into Azure OpenAI services and GPT models, GEP’s generative AI chatbot delivers document summaries and risk management insights to its customers.
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Building Reliable Software Systems with DoorDash's Saurabh Shanbhag

Oct 16, 2024 By Sauce Labs In Sauce Labs
How do you ensure your software system is reliable from design to deployment? In this episode of Test Case Scenario, Jason Baum and Evelyn Coleman sit down with Saurabh Shanbhag, Software Engineer at DoorDash, to discuss the best approaches for preventing bugs and building reliable systems. Saurabh draws on his experience from Amazon, Uber, and DoorDash to explain how teams can focus on strong initial design, thorough testing, and smart monitoring to keep systems running smoothly.
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databox

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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astera

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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astera

Everything You Need to Know about RAG

Oct 16, 2024 By Mariam Anwar In Astera
Retrieval-augmented generation (RAG) is gaining traction, and for good reason. As businesses and AI experts search for more intelligent ways to process information, RAG combines the best of both worlds, i.e., the vast knowledge of retrieval systems and the creative power of generation models. But what exactly is RAG, and why is everyone talking about it?
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