Why Sensitive Data is the Compliance Priority of 2025

As businesses prepare for 2025, a wave of new state privacy laws is set to redefine the landscape of data compliance. These regulations, including Maryland’s recently enacted privacy law, are raising the bar on how organizations handle data that they classify as personal and sensitive. In a heightened regulatory environment, companies that fail to act may face steep penalties, reputational damage, and operational setbacks.

Quo Vadis – An Interview with Above Data

In the latest edition of Quo Vadis, Tom Triscari spent some time with Above Data to better understand the company’s vision and how its semantic layer for consumer data will help the industry with speed to value, operational efficiency, sustainability, and better marketing performance.

Above Data joins NVIDIA Inception, a Program for AI Startups

Above Data is pleased to announce that it has been accepted into the NVIDIA Inception program, marking a significant milestone in the company’s journey. The NVIDIA Inception program is a renowned accelerator designed to nurture AI startups, providing them with a host of benefits that can significantly enhance their growth and development.

Navigating the Wave of State Privacy Laws: Unpacking the Impact on Digital Advertising and Sensitive Data

In the ever-evolving landscape of digital advertising, the year 2023 marked a significant turning point with the implementation of new state privacy laws. California, often a trendsetter, led the charge, and soon after, Colorado, Connecticut and Virginia followed suit. As of December 31, 2023, Utah added its name to the list, reshaping the digital advertising landscape with implications far beyond these states’ borders.

Democratize data with no-code analytics

No-code platforms democratize data by improving access to complex datasets. Improved access leads to greater confidence in the solutions and insights derived from the underlying data. With an ever-increasing amount of data, better tools are paramount to improve decision making.