Systems | Development | Analytics | API | Testing

dreamfactory

Utility API & AI Security: Exposing Data Without Exposing Control

Aug 20, 2026 By Kevin Hood In DreamFactory
Every utility is being pulled in two directions. Operations, engineering, and customer-facing teams all want data in modern applications: outage maps, field-service apps, asset-health dashboards, regulator reporting, and increasingly AI assistants that can answer questions about generation, load, or maintenance history. At the same time, the security team's job is to make sure none of that convenience becomes a path into systems that open spillway gates, trip breakers, or control pressure.
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dreamfactory

BigQuery MCP Server: Connect Google BigQuery to AI Agents Safely

Aug 20, 2026 By Nic Davidson In DreamFactory
A BigQuery MCP server lets AI agents like Claude query your Google BigQuery data through a standard protocol instead of ad-hoc integrations. Because BigQuery bills by bytes scanned, an unconstrained agent is not just a security risk but a budget risk: one careless full-table scan on a wide table costs real money. This guide covers what a BigQuery MCP server does, the three ways to set one up, and the cost and security controls that matter before you let an agent anywhere near your analytics data.
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bugfender

Android App Crashes: Causes, Detection, and Fixes

Aug 20, 2026 By Aleix Ventayol In Bugfender
Android app crashes will cost us users and damage our Play Store ranking. To prevent them from happening, we need to understand the most frequent causes of crashes, read the stack trace effectively, and have plans for common painpoints such as null values. This article will give you the tools to do that.
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perforce

AI-Driven Cross-Platform Testing: A Smarter Path for Enterprise QA

Aug 20, 2026 By Perforce In Perforce
Testing across web, mobile, and performance layers has become one of the hardest problems in enterprise software delivery. Teams juggle fragile scripts, siloed tools, and mounting maintenance work that slows every release. AI cross-platform testing changes that equation, and Perforce Autonomous Testing puts it within reach. In this post, you will learn what AI-driven cross-platform testing is, why it matters for QA leaders, and how Perforce Autonomous Testing works from setup to execution.
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How to Repair Corrupted or Broken Photos Online for Free

How to Repair Corrupted or Broken Photos Online for Free

Aug 20, 2026 By SystemsDigest In SystemsDigest
In today's digital world, capturing images has become a crucial task in our lives. Sometimes the pictures we take do not turn out right, and they appear corrupted or broken. If a picture is damaged, it will look strange, like it is all grey or the colours are wrong. Luckily, several photo repair methods are available to fix pictures that are damaged.
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Free Satellite Imagery for Machine Learning and Big Data Pipelines

Free Satellite Imagery for Machine Learning and Big Data Pipelines

Aug 20, 2026 By SystemsDigest In SystemsDigest
The expansion of public satellite fleets has turned Earth observation into a true Big Data playground. What once required dedicated GIS servers can now be handled by cloud tools that pull fresh imagery continuously without breaking project budgets. This sudden abundance of open rasters completely changes how products get built. Having steady access to free satellite data for download and analysis allows engineering teams to test new ideas, train computer vision models, and scale geographic coverage fast, without paying a cent for raw image feeds.
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speedscale

Reliability Engineering in the AI Era

Aug 19, 2026 By Matt LeRay In Speedscale
Engineering leaders have been claiming to “shift quality left” for years but production remains stubbornly stuck out of reach of software engineers. The realm of production remains mysterious with tools no one has access to and UIs that wouldn’t make sense to engineers anyway. I’ve noticed a small but growing trend of large enterprises hiring Reliability Engineers instead of Site Reliability Engineers. Dropping one word looks cosmetic but I think it points to a much bigger change.
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The Data Differentiator: Vanguard's Playbook for AI-Ready Data

Aug 19, 2026 By ThoughtSpot In ThoughtSpot
Semantic layers and ontologies have moved from nice-to-have data modeling tools to the foundational engine required for enterprise AI. In this episode, Raman Tallamraju, Senior Director and Head of Enterprise Data Architecture and Engineering at Vanguard, breaks down how Vanguard is architecting its AI semantic layer to turn scattered institutional knowledge into reliable, agent-ready context. He shares why autonomous agents expose decades of hidden data debt, how to bridge domain-specific definitions like clients versus prospects, and how to balance building a unified semantic layer with a pragmatic, federated data operating model.
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