Systems | Development | Analytics | API | Testing

The AI Blueprint for the Next Decade | BUILD 2025 Luminary Conversation

Nov 10, 2025 By Snowflake Inc. In Snowflake
AI has already fundamentally changed how we interact with data on a daily basis, and it’s going to keep changing. As we embrace agentic and conversational AI tools, there remain foundational questions to answer about how and where we use this technology, and how we iterate and innovate with it for the future. Join Snowflake CEO Sridhar Ramaswamy for a fireside chat with two of the most influential figures in artificial intelligence: Andrew Ng, Executive Chairman of LandingAI and founder of DeepLearning.AI, and Swami Sivasubramanian, VP of Agentic AI at Amazon Web Services.
View Video
rollbar

Fix an error in Copilot without leaving your IDE

Nov 7, 2025 By Rollbar In Rollbar
Production errors are every developer's nightmare. You're enjoying your coffee when suddenly alerts start firing - users are experiencing crashes, and you need to find and fix the issue fast. Today, we'll walk you through how to use AI to diagnose and fix critical errors in an application using Rollbar's MCP (Model Context Protocol) server.
Read Post
dreamfactory

Cloud vs. On-Premise: Incident Response with DreamFactory

Nov 7, 2025 By Terence Bennett In DreamFactory
When it comes to handling security breaches, cloud and on-premise environments offer vastly different incident response approaches. Here's what you need to know: Cloud setups prioritize speed and automation. They reduce recovery times by up to 80% with tools like automated playbooks, real-time monitoring, and built-in redundancy. On-premise systems offer full control over hardware and data but rely heavily on manual processes, leading to 25% longer recovery times on average.
Read Post
integrate

AI Data Enrichment: Turning Your Business Data into a Strategic Advantage

Nov 7, 2025 By Donal Tobin In Integrate
In the age of automation, raw data isn’t enough. Businesses are now realizing that AI data enrichment, which is the process of enhancing existing data with intelligent, contextual information, is the key to unlocking more accurate insights, better personalization, and more efficient operations. The challenge? Making enrichment operational. That’s where Integrate.io comes in.
Read Post
speedscale

Speedscale Proxymock: Freely testing cloud native apps alongside AI code assistants

Nov 6, 2025 By Jason English In Speedscale
We’ll always remember 2025 as the year AI code assistants went big. Copilot, Cursor, Claude, Windsurf, whatever. Developers went from mistrusting these tools, to being expected to turn over much of their coding labor to them. Even if, according to an extensive Stack Overflow survey, only 3 percent of professional developers say they ‘highly trust’ AI coding tools.
Read Post
cloudera

Cloud Migration Checklist: Getting Your Data Landscape Ready

Nov 6, 2025 By Ron Pick In Cloudera
Do you know where your data is? The number of people who can pat their server and say fondly, “Right here!” is decreasing. Instead, more people are lifting their eyes to the heavens and answering, “Um… up there… somewhere…” McKinsey reports that in 2025, large enterprises have 60% of their environment in the cloud. If you’re considering moving your data assets, processes, and applications to the cloud, you’re in good company.
Read Post

No AI Without API: Build AINative Apps with Konnect, AI Gateway & Event Gateway

Nov 6, 2025 By Kong In Kong
Agents are just applications with an intelligence layer. This session shows why secure, reliable, discoverable APIs—and a developer platform—are the foundation for AI-native workflows. See live demos of Kong Konnect, AI Gateway, Event Gateway, MCP-enabled dev portals, AI Composer/Runner, and Kai. What you’ll learn: Learn more: Subscribe for more on API platforms, service connectivity, and AI-native architecture.
View Video
InsightSoftware

Find Out How AI Is Helping Finance Teams Work Smarter in Excel

Nov 6, 2025 By InsightSoftware In InsightSoftware
Most finance leaders are curious about AI—but hesitant to adopt it. The concern makes sense: what happens if automated systems pull the wrong data or miss critical details? Yet finance teams need some help. Teams are stretched thin. Reporting cycles are taking too long. When they’re relying on manual processes, they can’t keep pace with growth. Sound familiar? On a recent episode of the podcast “Don’t Panic!
Read Post

Copyright © 2026 OpsMatters™. All rights reserved.