Systems | Development | Analytics | API | Testing

How to Choose AI-Powered ETL for Non-Technical Teams

Data teams spend 45% of their time on data preparation, which stifles business growth and delays critical insights. With the ETL market projected to grow from $533 million to $1.28 billion by 2034, businesses face an overwhelming array of choices. Yet traditional ETL tools require specialized coding expertise that non-technical teams simply don't have, creating dangerous dependencies on overburdened IT departments.

Enterprise AI that's Ready for Serious Work: Introducing Appian Composer and Agent Studio

AI agents have exploded. And we use this term intentionally. Tech vendors rushed to put out agent products that don’t stand up to enterprise use with results that were mostly underwhelming and sometimes even catastrophic. Appian took a different approach. While companies are now scrambling to validate the efficacy of their AI, Appian’s AI is field-tested, so the products you get are ready to use and safe to deploy from day one.

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.

AI-Powered Integration: Turning Complex Workflows into Simple Commands

Data integration has long been one of the most time-intensive parts of enterprise IT. Connecting multiple systems, reconciling formats, and ensuring data reaches its destination reliably often requires weeks of preparation before the first record moves. But with AI-powered integration, that timeline compresses dramatically. What once took weeks can now be designed, validated, and delivered in minutes.

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.