Forward-looking and disruptive organizations are increasingly adopting modern data architectures to democratize data for analytics and machine learning. Many are turning to the cloud to store, catalog, manage, and analyze that data. They are taking …
The pressure is on – growing data science functions and hungry analytics teams driven by business pressure need access to an increasing number of datasets rapidly. It’s a constant balance of data’s dual status as an asset and liability. In …
In a complex and emerging field such as data privacy, understanding data de-identification is vital. International regulation is changing and varies between jurisdictions and vertical markets. The different uses of data places a range of demands on dat…
Michelle will draw on her experiences working on complex global data and privacy challenges at some of the world’s largest organizations, and you’ll leave the session with a better idea of the steps you should take to maximize the value of …
In this introductory post, we’ll be looking at what tokenization and encryption are, when to use them and why you would use one approach over the other. Request Free!
An ongoing challenge for organizations of all sizes has centered around how to accelerate analytics projects and extract analytical value without compromising privacy. Data scientists struggle to get access to sensitive data for analytics rapidly, and …
In this session, we’ll explore how the winners of tomorrow’s business world will be those that embrace digital transformation. Join us to discuss: How important will it be for businesses to digitalise in the wake of COVID-driven econo…
Forward-looking and disruptive organizations are increasingly adopting modern data architectures to democratize data for analytics and machine learning. Many are turning to the cloud to store, catalog, manage, and analyze that data. They are taking …
The pressure is on – growing data science functions and hungry analytics teams driven by business pressure need access to an increasing number of datasets rapidly. It’s a constant balance of data’s dual status as an asset and liability. In …
In this introductory post, we’ll be looking at what tokenization and encryption are, when to use them and why you would use one approach over the other. Request Free!
