Systems | Development | Analytics | API | Testing

Resume builders in the age of AI: How to future-proof your testing career

Just a few years ago, AI’s effect on software development was debatable — would it be as transformative as everyone predicted? But its impact is undeniable. In a 2024 survey, a majority of developers reported using AI in development, a sharp increase from the year before. In a short period of time, developers adapted, integrating agentic AI into their daily operations to boost productivity. Quality assurance teams are not far behind.

What's New For The Snowflake Platform

Tune into this session from BUILD 2025 to join Snowflake's Artin Avanes, Senior Director, Product Management, Raja Balakrishnan, Senior Manager of Product, and Christine Avanessians, Director of Product Management to discover what's new across Snowflake's easy, connected, and trusted platform. Learn how Snowflake is accelerating Data and AI innovation spanning compute, manageability, security and governance, and Business Continuity Disaster Recovery (BCDR).

This Is Where Agentic AI Is Headed Next | Insights From Current NOLA

Ever wondered what's next for agentic AI? In this quick chat, we dive into how agentic AI and real-time data are shaping the future—helping systems predict trends, make smarter decisions, and much more. Watch to find out what could be coming in 2026.

Smarter, Fairer, and More Transparent AI in Qlik Predict

In a previous blog post, we introduced one of the most significant advancements in Qlik Predict to date — multivariate time series (MVTS) forecasting, bringing enterprise-scale accuracy and context to complex prediction problems. But MVTS is only part of the story. Over the past few months, we’ve continued to enhance Qlik Predict with several powerful updates designed to make predictive AI more trustworthy, fair, and connected for our customers.

Data Streaming Platforms: The Cornerstone of Enterprise AI

Is your artificial intelligence (AI) underperforming? You're not alone. Stale, fragmented data is a leading obstacle to optimal AI performance. Outdated information cripples your decision-making, fuels operational inefficiencies, and leads to missed opportunities—from slow fraud detection to irrelevant chatbot responses. AI’s rapid evolution makes real-time data even more critical: That’s why real-time data streaming isn’t merely an option.

Beyond Pipelines: Building the Trust Layer for AI

The IDC MarketScape: Worldwide Data Integration Software Platform 2025 Vendor Assessment (doc, October 2025) notes, “Qlik delivers a comprehensive, cloud-agnostic data integration platform that spans real-time ingestion and replication, batch ETL/ELT, data quality, data productization, and governed self-service access for analytics and AI.” In the past, data integration was largely about moving information from A to B: ingestion, transformation, loading.

Smarter Test Coverage with AI Test Model Generation in Xray Enterprise

Quality assurance has always been about balance, ensuring every scenario is covered without drowning teams in complexity. Yet, as systems grow and requirements multiply, keeping up with coverage demands has become one of the hardest parts of modern QA. That’s where AI-powered test model generation steps in, not to take over, but to amplify how testers design, visualize, and expand coverage.