Systems | Development | Analytics | API | Testing

Unlocking the power of semi-structured data with the JSON Type in BigQuery

Explore the architectural concepts that power BigQuery’s support for semi-structured JSON, which eliminates the need for complex preprocessing and provides schema flexibility, intuitive querying and the scalability benefits, at large scale.

10 Top Data Mapping Tools for 2024

The world of data is constantly evolving and advancing, bringing exciting new opportunities for those who wrangle it. To make the most of your critical data, you must first map it. However, an increasing number of sources and formats results in a tricky mapping process. Data mapping tools can simplify this process, ensuring you can visualize, analyze, and interpret data accurately and efficiently.

Data Wrangling vs. ETL: What's the Difference?

In data engineering and analytics, effectively wrangling data is not just a skill but a necessity. Large volumes of complex data have grown exponentially as businesses and technologies evolve. This surge has brought two critical processes in data management to the front line: Data Wrangling and Extract, Transform, Load (ETL). Understanding these processes is pivotal for any organization leveraging data for a strategic advantage.

Hello, Continual: The AI copilot platform for applications

If you’re building an application today, one of your top product priorities for 2024 is almost certainly adding an AI copilot to your application. AI copilots – AI assistants powered by large language models (LLMs) and deeply embedded into applications – offer one of the most compelling opportunities to reimagine applications since the dawn of the internet.

insightsoftware Named No. 1 Fastest Growing Company on Business North Carolina's Mid-Market Fast 40 List

Prestigious list recognizes insightsoftware’s hyper-growth as the company expands its comprehensive product suite to meet nearly every financial analytics and reporting requirement RALEIGH, N.C. – Nov. 15, 2023 – insightsoftware, a global provider of reporting, analytics, and performance management solutions, secured the number one ranking on Business North Carolina’s Mid-Market Fast 40 List.

Generative AI Is The Key To Transforming The Telecom Industry

The telecom industry is undergoing a monumental transformation. The rise of new technologies such as 5G, cloud computing, and the Internet of Things (IoT) is putting pressure on telecom operators to find new ways to improve the performance of their networks, reduce costs and provide better customer service. Cost pressures especially are incentivizing telecoms to find new ways to implement automation and more efficient processes to help optimize operations and employee productivity.

How to Build Accurate and Scalable LLMs with ClearGPT

Large Language Models (LLMs) have now evolved to include capabilities that simplify and/or augment a wide range of jobs. As enterprises consider wide-scale adoption of LLMs for use cases across their workforce or within applications, it’s important to note that while foundation models provide logic and the ability to understand commands, they lack the core knowledge of the business. That’s where fine-tuning becomes a critical step.

Tricentis Testim Highly Commended at DevOps Awards 2023

We are delighted to share that Tricentis Testim received a Highly Commended rating in the Most Innovative Project category at the DevOps Awards 2023. Now in its eighth year, the DevOps Awards annually celebrate innovation and hard work in the DevOps community. Awards are granted in numerous categories, including Most Innovative Project, Best DevOps Cloud Project, Best DevOps Tool, and more. The criteria for the Most Innovative Project category include.

The latest Tricentis Testim release boosts testing power and stability through AI and ML

We are thrilled to introduce the latest updates to Tricentis Testim, bringing exciting new capabilities across the Testim platform. In this update, generative AI makes finding answers to your questions easier, mobile test authoring and execution in the cloud becomes completely seamless and zero-footprint, and test cases become even more stable using Machine Learning (ML) locators.