Read more about author Mario Vargas Valles. Data is the fuel that keeps the engine of any organization running efficiently. Its growing importance is becoming a frequent topic of conversation in boardrooms and strategy meetings. Companies increasingly know the need to protect their sensitive information and continue investing heavily in cybersecurity measures. However, this approach has a critical oversight: The assumption that investing in cybersecurity alone is sufficient to safeguard…

Read more about author Katrina Ingram. There’s a movement underway to capture an increasing amount of data about employees – from facial recognition or fingerprint systems used for tracking time and attendance, to systems that monitor your every keystroke. All of these invasive data collection technologies raise this question: What should be the limits of biometric data collection in the workplace? Biometric data is a particularly sensitive type of data…

Read more about author Daniel Avancini. Building custom generative AI (GenAI) technology solutions is the best way to gain a competitive edge by leveraging GenAI tools and services tailored to your business. On the other hand, building GenAI models from scratch is a costly and complicated endeavor – which is why many businesses instead settle for a genAI strategy wherein they buy off-the-shelf GenAI services that are easy to deploy,…

Read more about author Mike Finley. Data pipelines are like insurance. You only know they exist when something goes wrong. ETL processes are constantly toiling away behind the scenes, doing heavy lifting to connect the sources of data from the real world with the warehouses and lakes that make the data useful. Products like DBT and AirTran demonstrate the repeatability and scriptability of data pipelines. They are the ultimate input-to-output…