Clinical Trials Reimagined: The Impact of Secure Data Sharing on Pharma R&D
Life sciences organizations have traditionally been early adopters of data science and analytics practices, which...
A Guide to Enabling Inter-Domain Data Sharing
For many, the appeal of a decentralized data architecture relates to its potential for enhanced...
Balancing Collaboration and Compliance with Data Marketplaces
Although we are living in an age of unprecedented data generation, none of it matters...
5 Best Practices for Secure Data Sharing
In our globalized world, data sharing is table stakes for organizations that want to innovate...
5 Steps to Make Data a Strategic Asset for Geospatial Intelligence
In 2021, the National Geospatial-Intelligence Agency (NGA) published its new data strategy, which seeks to...
What Is Multi-Tenancy? An Overview for Cloud Computing
As cloud infrastructures, SaaS deployment models, and data sharing become increasingly prevalent, multi-tenant architectures help ensure cloud-based...
The Top 5 Barriers to Data Sharing and How to Overcome Them
Technology has made our world increasingly interconnected and interdependent, and as a result, the need...
Data Sharing Is a Necessity to Accelerate Digital Business
According to Gartner’s report, “By 2024, most organizations will attempt trust-based data sharing programs, but...
A 10-Step Guide for Data Security in Cloud Computing
With an industry-wide 92% cloud adoption rate, well over half of organizations using multiple public clouds...
4 Ways a Data Science Company Enables Research at Scale
Scalability is critical to driving accurate, applicable researched-based predictions and insights. But without the proper...
Secure Data Collaboration, Privacy, and Compliance for Databricks
Databricks shops are expanding their analytical use cases, and, in the process, bringing more sensitive...
An Ongoing Challenge for AI/ML in the Traditional Enterprise: Getting Data to the Cloud
Artificial Intelligence (AI) and Machine Learning (ML) are among the “buzziest” of the buzz words...
Data Governance Anti-Patterns: The Copy & Paste Data Sharing Method
(This Is Part III of Our “Data Governance Anti-Patterns Series,” Part II Can Be Found...
Data Privacy & Data Science: The Next Generation of Data Experimentation
Collection of consumer data is mainstream and global. The generally accepted premise of the big...