Systems | Development | Analytics | API | Testing

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.

In the past year, generative AI has gone well beyond basics. Experiments with GenAI, such as ChatGPT4, can solve technical problems using mental models and complex systems consisting of specific rules, context, and toolsets. This is not your mother’s chatbot; tech companies that immediately integrated generative AI tools into their workflow report fast and almost universal performance gains.

In the dynamic realm of synthetic monitoring, where ensuring the performance and availability of critical aspects of web applications is a must, an important aspect has been missing – support for monitoring sign-in processes that use Multi-Factor Authentication (MFA). Until now, no synthetic monitoring product on the market has adequately addressed the challenge of monitoring transactions that require the input of MFA code.

The fast-paced world of digital technology necessitates dynamic and responsive approaches to data analysis. In this light, cohort analysis emerges as a formidable tool, providing meaningful insights when blended with real-time analytics. This fusion is especially beneficial for digital enterprises like Countly's users, who operate within a highly volatile environment. ‍

In spite of diligent digital transformation efforts, most financial services institutions still support a loose patchwork of siloed systems and repositories. These dis-integrated resources are “data platforms” in name only: in addition to their high maintenance costs, their lack of interoperability with other critical systems makes it difficult to respond to business change.

By now, when we hear the words “service mesh” we typically know what to expect: service discovery, load balancing, traffic management and routing, security, observability, and resilience. So, why Kong Mesh? What does Kong Mesh offer that would be more difficult to obtain with other solutions? Why is Kong Mesh with Red Hat OpenShift a great pairing? We’re happy to announce that the Kong Mesh 2.2.0 UBI Images are available in the Red Hat Ecosystem Catalog.

Sometimes, you find yourself searching for bugs without any specific purpose or direction. This occurs when your QA team lacks the proper mindset and strategy for exploratory testing. Without clear guidance or goals, your test coverage will be inadequate, and you'll have less productive use of your time. In his book Exploratory Software Testing: Tips, Tricks, Tours, and Techniques to Guide Test Design, James Whittaker provides a practical solution to help you level up your exploratory testing.

How Fivetran Transformations help you accelerate time to value and utilize the best practices of data transformation’s top tooling - dbt Core.

Learn how Fivetran’s connector for Microsoft Dynamics 365 CRM and Dynamics 365 Finance empowers you to activate and analyze your data effectively.

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.