It seems like we are witnessing a new quantum leap of technological advancement, with Generative AI taking the world by storm earlier this year. Generative AI (GenAI) has emerged as a powerful tool that combines artificial intelligence with creativity, empowering machines to generate original content, such as images, music, and even text, that imitates human-like creativity from structured and unstructured data.

Quality assurance is a crucial differentiator in today's software marketplace. Gartner reports, "48% of software engineering leaders say customer or user satisfaction are among the top three objectives they are measured on." (Source: 2022 Gartner Software Engineering Leaders Role Survey). In essence, software quality directly influences customer satisfaction. A cornerstone in ensuring such quality is regression testing.

At Snowflake, we’re helping data scientists, data engineers, and application developers build faster and more efficiently in the Data Cloud. That’s why at our annual user conference, Snowflake Summit 2023, we unveiled new features that further extend data programmability in Snowflake for their language of choice, without having to compromise on governance.

The potential of generative AI and large language models (LLMs) for enterprises is massive. We’ve talked about this opportunity before and at Summit 2023, we announced a number of capabilities that come together to help our customers bring generative AI and LLMs directly to their proprietary data, all delivered through a single, secure platform.

Let’s talk about the world’s currently trending topic for a second: AI. Now, before you click out of this blog, sighing to yourself that this is yet another blog that wants to tell you how to write code with ChatGPT; bear with us. As almost everyone has used some form of AI – especially ChatGpt – to help them with some form of a task, we can all agree that it’s quite an interactive experience.

Ancient Greek mathematician Archimedes once said, “Give me a lever long enough and a fulcrum on which to place it, and I shall move the world.” He was right. When you intelligently use the right tools, you can move worlds and accomplish what on the surface seems impossible. Right now, developers are doing the impossible—building applications in record time that truly transform industries, improve business processes, and unlock radical productivity.

Containers have emerged as the modern approach to package code in any language to ensure portability and consistency across environments, especially for sophisticated AI/ML models and full-stack data-intensive apps. These types of modern data products frequently deal with massive amounts of proprietary data.

At ThoughtSpot, we know how important it is for businesses of every size and industry to empower every knowledge worker with personalized, actionable data-driven insights. These insights are your secret sauce to making better business decisions, growing faster, and delivering customer experiences that keep people coming back for more. But how do you scale self-service analytics to business users without completely overwhelming your data teams?

With any new, transformative technology comes a fear of the unknown, as I explored in my first blog of a new series on generative AI. Companies are pulled between acting quickly to avoid being left behind and proceeding with caution to avoid major missteps.

Seattle, WA, June 28, 2023 — On stage at Collision Conf in Toronto, NodeSource, Inc., the leader in enterprise-grade solutions and support for Node.js, made two big announcements: the private beta of its groundbreaking AI Assistant, "Adrian," designed to revolutionize the way developers and DevSecOps analyze, optimize, and secure Node.js applications, and that it’s open-sourcing its Node.js runtime to enable developers access to the most advanced runtime available.

During Beyond 2023, we officially launched ThoughtSpot Sage, our new search experience that combines the power of GPT’s natural language processing and generative AI capabilities with the accuracy and security of our patented self-service analytics platform. As the experience layer of the modern data stack and an Elite Partner of Snowflake, we are constantly thinking about how our product innovation unlocks value for our shared customers.

Google BigQuery is a fully managed, enterprise-scale, cloud data warehouse that helps you store, manage, and analyze your data. This article will take you through the fundamentals of Google BigQuery. I’ll also share optimization opportunities to improve performance when you’re using both BigQuery and ThoughtSpot.

Five years ago, Qlik paved the way in powering our analytics platform with AI, with the introduction of natural language processing and generation. Our augmented analytics capabilities, which now also include fully interactive search, chat, and multi-language support, enabled a generative AI experience before it was cool. Today marks the next step in our AI journey with the launch of a new suite of OpenAI connectors to deliver a ChatGPT experience in Qlik Cloud.

The world is continuously amazed by ChatGPT and its applications. Every day multiple people post the applications of ChatGPT in their respective industries ranging from marketing, copywriting, sales, operations, and more. While we thought about ChatGPT for software testing, we have a mixed bag of opinions. We do not doubt its benefits to the software testing community and at the same time, we are aware of the dangers of blindly accepting every output by the software.

AI Chatbots are being talked about everywhere. Product managers rely heavily on collaborations with stakeholders to achieve success with their strategic objectives. These stakeholders include developers, sales teams, marketing teams, executives, and other key players. Yet these stakeholders alone do not guarantee success for your customers and clients. As a product manager, you need to use all the tools at your disposal to add value to their strategies and goals.

With GPT taking the world by storm, the age of Generative AI has truly begun. No aspect of human endeavor will be untouched by this revolution, from arts and media to engineering and finance. In the realm of healthcare & medicine, this cutting-edge technology holds immense potential to transform patient care, diagnostics, and treatment planning.

Discover how organizations can harness the full potential of AI through a modern data stack, as we dive into the insights from our recent joint webinar with Microsoft.

When approaching machine learning operations, the options can be overwhelming. There may be multiple solutions available for each step in the process, and the most popular (usually open source tools) may not necessarily be good or easy to use, but they are free.

Databricks’ 2023 State of Data + AI report highlights the importance of the modern data stack in leveraging AI.

Artificial intelligence (AI) has reached a tipping point in the public consciousness. Much of this has been driven by technology developments related to large language models (LLMs) and the release of generative AI tools, including ChatGPT from OpenAI. However, for enterprises shaping forward-looking AI strategy, a critical part of the conversation that needs to be addressed is the issue of private AI vs. public AI.

How BigQuery’s ML inference engine can be used to run inferences against unstructured data in BigQuery using Vertex AI pre-trained models.

Chat Generative Pre-Trained Transformer (ChatGPT) is a pre-trained AI bot that can chat with you and generate relevant natural language text in response to your input text. The most impressive aspect of this software is that it promptly provides clear and concise information. Financial institutions, payment gateways, and processors securely process payment transactions.

Over the years, software developers have heavily relied on manual testing processes, which continue to play a vital role in the testing phase. However, it’s important to acknowledge that there are scenarios where test automation becomes important too. That is where test automation tools come in handy. In recent years, automated testing has emerged as a valuable addition to the field of software testing.

AI is revolutionizing our working world. (It even helped us write this blog post.) And now, it can help you write your test plan. Our latest release of Tricentis Test Management (TTM) for Jira is equipped with a groundbreaking AI capability that has the power to revolutionize your test planning process. This game-changing feature saves valuable time by enabling users to generate test steps in just a few clicks, thanks to the power of artificial intelligence.