Turn customer feedback into opportunities using generative AI in BigQuery DataFrames
Natural language processing and large language models to help BigQuery process dataframes.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
What is an AI copilot?
The rise of generative AI and the massive popularity of OpenAI’s ChatGPT has led to widespread recognition that software applications are about to fundamentally change. Generative AI offers the potential to both deliver breakthrough new application capabilities and transform the way people interact with software.
The AI data quality conundrum
Visionaries from Capgemini, Databricks and Fivetran lay out the data quality imperative for implementing enterprise AI applications.
Leveraging Amazon S3 Cloud Object Storage for Analytics
With its simplicity, flexibility, and cost-efficient characteristics, Amazon Simple Storage Service (Amazon S3) cloud object storage has become the preferred platform for collecting, analyzing, and retaining today’s growing mountain of diverse and disjointed enterprise data. And as Amazon Web Services (AWS) continues to grab market share in the hyperscale IaaS/PaaS/SaaS marketplace, organizations of every size are leveraging Amazon S3 to underpin a variety of use cases, such as.
Role of AI in requirements engineering
The current state of AI, despite the relevant infancy of the tools, showcases promising potential. While human assistance is still needed, the convergence of chat UI and large language models allows users to ask for what they want in a natural language, and the technology is growing intelligent enough to respond or even take action.
Unlocking Snowflake: Scale your data cloud efficiently with purpose-built AI
See what’s new for Snowflake and how you can take advantage of the latest innovation from Unravel to better manage your data cloud costs. Data analytics and AI enables organizations to transform their industries with innovative new products, faster business insights, and break-away technologies that help them outperform competitors.
Test Automation in the AI Era: Embracing Change to Stay Ahead
In the ever-evolving landscape of software testing, the advent of Artificial Intelligence (AI) has not just been a game-changer; it’s been a paradigm shift. Test automation, once a static process, has metamorphosed into a dynamic and intelligent entity, reshaping how we approach quality assurance.
Learn How to Write Effective #ChatGPT Prompts (in just 5 minutes)! | Raju Kandaswamy #GenerativeAI
In this video, Raju Kandaswamy unveils the art of crafting effective ChatGPT prompts using the RRR framework—Role, Rule, and Response. As ChatGPT continues to reshape interactions in various domains, understanding how to structure prompts becomes crucial for optimal results.
Mobile App Testing Automation with Hanson Ho
What language and code should developers rely on from top to bottom? What are the obstacles to developing different mobile devices? Learn all of this and more in this incredible episode of Test Case Scenario! Hanson Ho, Android Architect at Embrace shares his knowledge of mobile testing and development. Panelists Jason Baum, Evelyn Coleman, and Marcus Merrell interrogate for high-demand answers in mobile testing, testing pain points, and mobile development best practices.
Enterprise Apache Kafka Cluster Strategies: Insights and Best Practices
Apache Kafka® has become the de-facto standard for streaming data, helping companies deliver exceptional customer experiences, automate operations, and become software. As companies increase their use of real-time data, we have seen the proliferation of Kafka clusters within many enterprises. Often, siloed application and infrastructure teams set up and manage new clusters to solve new use cases as they arise.