With integration to Vertex AI, you can use multimodal LLMs like Gemini Pro 1.0 and Gemini Vision Pro 1.0 in BigQuery to create marketing campaigns.

According to BMC research, 90% of development managers believe that automating a large number of test cases may become the key to their success as the pressure on IT to accelerate innovation intensifies. However, automating testing processes involves an initial investment, and the benefits can vary between teams driven by multiple forces including the application architecture, number of platforms, and the automation technology choices.

Exploratory testing is an essential tool in any comprehensive software testing strategy. If regular scripted testing follows clear directions on a map, exploratory testing ventures off the beaten path to uncover hidden defects. This guide will teach you what exploratory testing is, why it’s critical, how to conduct exploratory testing sessions, and techniques to maximize your results.

As a web developer, you will often need to send emails from your application. In fact, if you've been a developer for more than a few months, you've probably already had to do this. You might want to send emails for a variety of reasons, such as sending a welcome email to new users, sending a password reset email, or sending a notification to a user. Laravel makes it easy to send these types of emails to single recipients, thanks to some handy features such as mailables and notifications.

Earlier today, Qlik announced its expanded role as a Snowflake Cortex launch partner, and this article explains how the two solutions work together to benefit our customers. Let’s begin by quickly reviewing Snowflake Cortex.

The Centers for Medicare & Medicaid Services (CMS) has taken a significant step forward in advancing interoperability and improving prior authorization processes with the publication of the CMS Interoperability and Prior Authorization Final Rule (CMS-0057-F).

Data observability is a process that actively monitors an organization’s data for accuracy, health, and usefulness. It is the ability of an organization to have comprehensive visibility over its entire data landscape, including data pipelines, infrastructure, and applications. Data observability allows the organization to quickly identify, control, prevent, remediate, and fix data outages, all within agreed service level agreements (SLAs).

For any product team with a Software as a Service (SaaS) application, the significance of embedding capable, reliable analytics is well understood. But it’s important to remember how valuable these tools are for your users’ experience, too. Having fast access to data and easy ways to explore it is, as you know, key to monitoring business performance, finding trends, sharing insights, and improving your core product. Today’s business user also wants more when they use your product.

For organizations that generate large amounts of data, implementing a cloud database solution is a critical step towards enabling performant and cost-effective data storage, transformation, and analytics. Choosing the right cloud database solution involves careful consideration of features, capabilities, costs, and use cases to ensure alignment with your organization’s needs and objectives. This blog post features an in-depth comparison of four popular cloud database solutions: Databricks vs.