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Protecting Customer Data In A Collaborative, Data-Sharing World | OneTrust

In this episode of "Powered by Snowflake," we hear from Ojas Rege, GM of Privacy and Data Governance at OneTrust, about his company's consent and privacy platform, a platform that helps organizations manage customer data in a way that allows for data sharing and collaboration without compromising data security and customer privacy. The conversation includes a discussion about the role Snowflake technology plays in providing this kind of capability as well as an in-depth demo of the OneTrust Snowflake Native Application.

What is Smoke Testing? Meaning, Uses, and Tools

Every QA tester knows: time is money. When something breaks down on your website or web application, it can cause major issues for users within minutes. Because you’re constantly working to prevent fires from spreading (or happening at all), it’s important to have numerous strategies at the ready to help you manage your time wisely. One of these QA testing timesavers is called smoke testing. But exactly what is smoke testing?

Unlocking Data Value in the Age of AI and Data Streaming

Imagine getting into your car to head to work on a hot day. Your car already knows and sets the temperature, the ambient lighting, and the music you prefer. Not only that, it optimizes your route, and with Level 3 autonomy, it can even drive you there. But what does the automotive industry have to do on the backend in order to achieve this kind of personalization?

How to improve "softer" skills for modern Quality Engineering

The dynamic landscape of product development continuously increases the scope of what is demanded from quality engineering (QE) professionals. So, it is not surprising that workplace learning and upskilling are critical to the organizational success, as highlighted by Workplace Learning Report: Without a doubt, the more technical side of the skill spectrum - e.g.

6 Ways to Harness the Power of Generative AI in Manufacturing

Generative AI in manufacturing refers to using advanced AI algorithms and generative models to optimize various aspects of the production process. This technology enables manufacturers to create innovative product designs, streamline workflows, predict maintenance needs, and boost efficiency in frontline operations. By integrating generative AI, manufacturers can enhance decision-making, collaboration, and data insights, ultimately improving overall performance.