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More than two-thirds of companies are currently using Generative AI (GenAI) models, such as large language models (LLMs), which can understand and generate human-like text, images, video, music, and even code. However, the true power of these models lies in their ability to adapt to an enterprise’s unique context. By leveraging an organization’s proprietary data, GenAI models can produce highly relevant and customized outputs that align with the business’s specific needs and objectives.

In part one of this series, we walked through how to use Streamlit, Apache Kafka, and Apache Flink to create a live data-driven user interface for a market data application to select a stock (e.g., SPY) and discussed the structure of the app at a high level. First, data with information on stock bid prices is moved via an Alpaca websocket, then, it’s produced to a Kafka topic in Confluent Cloud where it is also processed with Flink SQL.

In today's rapidly evolving digital landscape, superior software is essential, whether it be the apps on our phones or the intricate systems supporting various business requirements. The process known as Software Testing (ST) has undergone an immense transformation in order to meet this necessity where Artificial intelligence (AI) and machine learning (ML) play a great role in QA solutions.

How to use Gemini generative AI models through BigQuery to boost productivity in Google productivity tools like Sheets.

As software applications have evolved over the past two decades, their reach has expanded to various platforms. For instance, desktop applications like Microsoft Office have transitioned to web applications like Office 365, and web applications like Amazon now have companion mobile applications. According to Statista report, global app downloads stood at 257 billion in 2023. The app market is expected to generate $613 billion in revenue by 2025.

The BigQuery ML.GENERATE_TEXT function lets you use LLMs from Vertex AI within your SQL queries to analyze text in a BigQuery table.

Is AI coming for our jobs or can it help make our jobs easier? Learn about the growing role of AI in test automation.