Systems | Development | Analytics | API | Testing

The Role of QA in Ensuring AI Ethics and Fairness

Artificial intelligence (AI) has become an integral part of modern software, driving innovation across industries from healthcare to finance. However, as AI systems increasingly influence critical decisions, concerns around bias, fairness, and ethical implications have come to the forefront. Quality Assurance (QA) professionals are uniquely positioned to address these challenges, ensuring that AI systems are not only functional but also equitable and ethical.

Build RAG and Agent-based AI Apps with Anthropic's Claude 3.5 Sonnet in Snowflake Cortex AI

Today, we are excited to announce the general availability of Claude 3.5 Sonnet as the first Anthropic foundation model available in Snowflake Cortex AI. Customers can now access the most intelligent model in the Claude model family from Anthropic using familiar SQL, Python and REST API interfaces, within the Snowflake security perimeter.

Stop Treating Your LLM Like a Database

This article was originally published on The New Stack on Dec. 19, 2024. Imagine driving a car with a headset that only updates your view every five minutes instead of providing a continuous video stream. How long would it take before you crashed? While this type of batch processing clearly doesn’t work in the real world, it's how many systems operate today. Batch processing, born out of outdated technology constraints, forces applications to rely on static, delayed data.

Building a Gen AI Wine Country Visit Assistant with Fivetran and Google Cloud

Discover how to build a powerful Retrieval Augmented Generation (RAG) application that that changes the way you explore California’s wine country. Using the latest technologies from Fivetran and Google Cloud, this tutorial will guide you through the creation of a Gen AI-powered travel assistant that integrates structured data with advanced Gen AI capabilities.

Predictive Models Are Nothing Without Trust

Airports are an interconnected system where one unforeseen event can tip the scale into chaos. For a smaller airport in Canada, data has grown to be its North Star in an industry full of surprises. In order for data to bring true value to operations–and ultimately customer experiences–those data insights must be grounded in trust.

Mastering LLM Chatbot Testing: Metrics, Methods and Mistakes to Avoid | James Massa | #Testflix 2024

In this session, James Massa, Senior Executive Director of Software Engineering and Architecture at JPMorgan Chase, dives into the critical elements of mastering LLM (Large Language Model) chatbot testing. As AI-driven chatbots take center stage in user interactions, even the slightest flaw in testing can result in significant, high-profile failures. James will guide you through the cutting-edge techniques used to rigorously test these advanced systems, ensuring optimal performance while helping you avoid common pitfalls that could derail your chatbot’s success.

Scaling Web Scraping With Data Streaming, Agentic AI, and GenAI

In building the next generation of web agents, we need the simplest, fastest way to extract web data at scale for production use cases. And for every new generative AI (GenAI) application, developers and businesses need reliable data to power the underlying models. But getting that data in a usable, trustworthy format? That’s where things get complicated.

Crypto Marketing Trends to Watch in 2025

As the crypto world continues to evolve, marketing strategies must adapt to keep pace with the rapidly changing landscape. Companies like ICODA, a leading crypto marketing agency, are setting the tone for what's to come. With an ever-growing focus on targeted crypto traffic, the year 2025 promises to be a transformative period for brands aiming to capture a larger share of this dynamic market. Whether you're a startup or an established player, understanding the trends that shape the industry can provide a significant competitive edge.

Three AI Trends Developers Need to Know in 2025

Interest in AI has surged since 2020 and has dominated conversations across headlines and boardrooms ever since. So it’s unsurprising that business development has followed suit — 81% of IT leaders listed AI and machine learning as an important or top priority in their 2024 budgets, according to survey results in Confluent’s Data Streaming Report. But is all this attention and investment leading to a near-term future where AI is ubiquitous and functions as intended?