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Generative AI: The New Age of Document Processing

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.

Preventing Delays, Maximizing Efficiency: Real-Time Beacon Monitoring

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.

Intro to Service Catalog | Kong Konnect

In this video, Miko Bautista, Staff Product Manager at Kong, introduces the Kong Konnect Service Catalog, your ultimate system of record for managing and discovering all the services and APIs running in your infrastructure. The Kong Konnect Service Catalog helps platform teams gain comprehensive visibility into their entire service ecosystem, whether APIs are powered by Kong Gateway or external systems like AWS API Gateway, Kubernetes, or serverless architectures.

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

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.

How Confluent Fuels Gen AI Chat Models with Real-Time Data

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.

Insomnia 10.1 Adds New Collection Runner CLI, In-App Invites, and More

As a follow-up to our recent Kong Insomnia v10 release that shipped with an unlimited and free Collection Runner and one week after announcing our official SCIM support for automated user provisioning, we're now excited to announce Insomnia v10.1. This release ships with the general availability of the CLI to use the Collection Runner with CI/CD automation, a new in-app invite wizard that simplifies working with collaborators, and many other improvements.

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

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.

Everything You Need to Know about RAG

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?

From RAGs to Riches: Why Retrieval-Augmented Generation Wins the RAG vs. Fine-Tuning Battle

In the world of LLMs, size doesn’t matter. It’s how you generate output that counts. Generative AI (GenAI) adoption rate in organizations jumped from 33% to 65% this year, which means if your organization isn’t leveraging AI, it’s time to get on board or get left behind. One powerful way enterprises are leveraging GenAI is by training and deploying private Large Language Models (LLMs).

How to Use Lambda Functions in Python

Lambda functions in Python are a powerful way to create small, anonymous functions on the fly. These functions are typically used for short, simple operations where the overhead of a full function definition would be unnecessary. While traditional functions are defined using the def keyword, Lambda functions are defined using the lambda keyword and are directly integrated into lines of code. In particular, they are often used as arguments for built-in functions.