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.

The Titans of Tech report analyzed more than 100 European startups for scale, velocity and sentiment, and surveyed their GP. Bullhound network of more than 120 VC and growth investors to rank the top 50 companies with the most potential to become billion-dollar companies in the next two years and Bitrise has made that list!

In mobile development, flaky tests are a persistent issue. They’re frustrating because a test is ‘flaky’ when it produces both ‘passing’ and ‘failing’ results from the same code. This wastes developers’ time by triggering unnecessary investigations and delays the integration of their code.

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.

One of the world’s largest logistics companies leverages automation and AI to empower every individual data engineer with self-service capability to optimize their jobs for performance and cost. The company was able to cut its cloud data costs by 70% in six months—and keep them down with automated 360° cost visibility, prescriptive guidance, and guardrails for its 3,000 data engineers across the globe.