TAG de-identification
De-Identification / Transformation / Transigram
Implementing De-identification IV: How to Choose De-identification Software
Whether you decide to perform de-identification internally or procure a service provider, it is important that the technology to be used fits your organization’s needs and goals, and has the capacity to […]
De-Identification / Open Data / Transformation
Implementing De-identification III: Designing De-identification Business Architecture
De-identification business architecture aims to ensure that de-identification is used with clear purposes and rules, integrates smoothly into your organization’s business process, and is genuinely useful to clients. The first two posts […]
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How Blockchain Will Change Organisation Design
Organisations adopting blockchain technologies can be viewed as Human-Machine Networks (HMNs), where combinations of humans and machines interact with each other. The more an organisation moves towards a ‘Decentralised Autonomous Organisation’ (DAO) […]
How Blockchain Will Improve the Supply Chain
Improving the supply chain is one of the best ways for any business to cut down on its operational costs while speeding up its delivery of goods or services to customers around […]
AI & Fintech: Should We Be Concerned About Cybersecurity?
Artificial intelligence (AI) is being integrated with modern life in a number of ways, and fintech is no exception. However, more digital options mean more cybersecurity vulnerabilities, and as AI introduces intelligent […]
Human or Machine? Two Paths for Deploying Analytics
As data science and analytics teams continue to feel pressure to deliver more value from analytics, many organizations still struggle with the processes and technology required to deploy models into production and […]
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How Blockchain Will Change Organisation Design
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How Blockchain Will Improve the Supply Chain
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AI & Fintech: Should We Be Concerned About Cybersecurity?
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Human or Machine? Two Paths for Deploying Analytics
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3 Ways Recruiters Should Be Harnessing AI
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Reimagining the Workforce in the Age of AI
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Facing the Realities of Data Science