Resource Library

This resource is an article on how to manage highly disruptive technologies.

Machine Learning. Deep Learning. Data Mining. Predictive Analytics. Natural Language Processing.

These are the buzzwords used to describe the pivotal artificial intelligence (AI) space. Companies in every industry, from automotive and electronics to financial services, health care and life sciences, are working to deploy these advanced technology methods in order to bring their innovations to the next level. AI can help pathologists identify diseases, and physicians better assess brain health. It can help bankers automate back-office processes, create more lifelike chatbots, and improve fair lending practices. It can process and collect data more efficiently, protect from cyberattacks, and improve driver safety. As with any disruptive technology, however, this AI race to the moon comes with its share of risks and challenges. Are you prepared to address the various issues that this new technology may bring?

The workshop began with an overview of th innovative products and services being developed and the potential changes coming for consumers and merchants.

This article summarises the legislative framework for the protection of personally<br />identifiable information (PII).

This article summarises the legislative framework for the protection of personally<br />identifiable information (PII).

This article summarises the legislative framework for the protection of personally identifiable information (PII).

The Personal Data Protection Act 2012 (Act) was passed by the Singapore Parliament on 15 October 2012 and came into effect in Singapore on 2 January 2013. A major component of the Act was to put in place general data protection provisions (Data Protection Provisions) that apply to all organisations operating in the private sector in Singapore. Previously, only limited confidentiality obligations existed in Singapore under certain sector specific legislation.