The Data Driven Enterprise, Moving to Privacy Enhanced Data Orchestration

The data revolution we’ve experienced over the last two-decades continues to accelerate and as our global data footprint continues to grow, so does our reliance on it. Now more than ever, the need to collaborate on data, across multiple sources, while leveraging and applying models that will drive better insights is crucial. However, to significantly drive value and actionable outcomes in a growing list of markets that care about privacy and confidentiality, one needs to adopt technologies that enable privacy preserving analytics that extend beyond traditional PETs. Gartner recently stated, “The role of data and analytics is changing, from being a stand-alone discipline to becoming a catalyst for digital strategy or transformation. Data and analytics leaders should create a strategy and operating model that conceives data-driven business opportunities and orchestrates enterprise action.” Simply stated, it is not enough to store data and it is more important to create actionable value from it. The new Data Driven Enterprise, powered by Duality, is not limited by regulations, does not compromise confidentiality and breaks down data silos - allowing access to multisource data and utilizing 3rd party modeling capabilities.

Join Duality CEO and Co-founder, Dr. Alon Kaufman, to discuss the role that science is taking in privacy enabled data collaboration, the varied PETs that organizations are leaning on, and how to unleash the value of your sensitive data by adopting a privacy enhanced data collaboration strategy.