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Unlock the Power of Data with Unified Data Controls

Artificial intelligence (AI) could boost company productivity by 1.5%, increasing S&P 500 profits by 30% over the next 10 years. The rapid success of generative AI technologies such as ChatGPT is an excellent example of how companies can shape their fortunes by harnessing the power of the data they hold. The insights from data enable businesses across […]

Testing and Monitoring Data Pipelines: Part Two

In part one of this article, we discussed how data testing can specifically test a data object (e.g., table, column, metadata) at one particular point in the data pipeline. While this technique is practical for in-database verifications – as tests are embedded directly in their data modeling efforts – it is tedious and time-consuming when end-to-end data […]

AI and Privacy: Navigating the Intersection of Technology and Personal Data

The rapid adoption of generative AI in the business world is transforming the way we work and improving our ability to engage with customers, streamline internal processes, and drive cost savings while introducing unprecedented challenges to the protection of individual privacy. As AI technologies continue to evolve and permeate various aspects of our lives, concerns about data […]

4 Data Privacy Best Practices

Data privacy is at the heart of every prominent security threat – what are the top best practices for keeping data private? Some of the major cyber security challenges in 2023 are ransomware, hacking of cloud service vendors, and wiper malware. During ransomware attacks, bad actors obtain or encrypt sensitive information. The victims are urged to pay […]

Testing and Monitoring Data Pipelines: Part One

Suppose you’re in charge of maintaining a large set of data pipelines from cloud storage or streaming data into a data warehouse. How can you ensure that your data meets expectations after every transformation? That’s where data quality testing comes in. Data testing uses a set of rules to check if the data conforms to […]