Over the last decade, the conversation around data privacy in India has gone from hushed boardroom corners to dinner table ...

Moving data from diverse sources to the right location for AI use is a challenging task. That’s where data orchestration technologies like Apache Airflow fit in. Today, the Apac ...

When healthcare data resides in disparate systems, organizations struggle to share information, collaborate and make ...

Data sharing becomes more challenging when AI and multi-die assemblies are involved.

Exploring the implementation of a data classification model in order to enable a data-driven approach to managing risk and cost.

Introduction In today’s data‑driven environment, professionals from finance managers to social‑media analysts need spreadsheet software that does more than tally numbers in neat rows and columns. They ...

Ongoing investment, innovation and a balanced approach to security needs with regulatory compliance and user privacy will be ...

Researchers devised a way to maintain an AI model's accuracy while ensuring attackers can't extract sensitive information used to train it. The approach is computationally efficient, reducing a ...

But feeding clean first-party data to AI models is an absolute prerequisite to ensuring that the output is on-brand and accurate. And there is little value in generating five times more content if you ...

Resetting alone may not be enough. Before recycling or selling an old device, take the necessary steps to ensure your data is completely erased. Identity theft, financial fraud and data breaches ...

Learn data analysis through traditional methods or online courses and bootcamps. Gain technical skills and practice with data to enhance your knowledge. Data analysts gather data, clean it, and study ...