A paper on the relationship between Digital Resilience and Cyber-Security
Digital Resilience (DR) has become more important as our typical usage of digital systems has changed. The increased interconnection of systems to provide the same functionality compared to the previous monolithic systems architectures, made digital systems more complex.
Because of these evolutions, IT technology deepened and widened its impact on strategic, tactical and operational company processes. It also meant that traditional rigid approaches to cybersecurity are not sufficient anymore.
Literature research on the use of Artificial Intelligence in Talent Acquisition processes.
Looking at the HR Barometer of 2019 (Hudson, 2019), data analytics driven activities of HR and the Talent Acquisition activities of HR are at the different end of the spectrum on priority as well as on mastery by the HR staff.
Is this paper we will look first at recent evolutions in HR and how this affects the Talent Acquisition Processes in companies. Next, we will look at the HR technology touchpoints and explain the opportunities and advantages for AI. Finally, barriers and limitation of AI will be discussed.
A Model to Quantify the Degree of Customization (DoC)
Customizing packaged software products, like ERP and CRM systems, has an adverse effect on their upgradability and maintainability. Typically a company acquiring a packaged product wants to balance out the investment (ROI, TCO) with just enough adjustments that are required to make the product fit the industry or business specific aspects (usability) so the company can retain its competitive advantage.
Making too many adjustments voids the purpose of investing in a packaged product. A better solution would be a bespoke software in that case. Not enough adaptation and sticking to the out of the box functionality reduces the ability of a company to serve its clients and by that the usability of the packaged product. So there is a sweet spot for every company with the right amount of adjustments.
In order to determine this sweet spot a company must be able to determine the degree of adaptation that was applied. Quantification is difficult but not impossible as we will show in this document. Once quantified it allows to monitor the current state and trend in the adjustments that are made to the original packaged product.
The original paper I wrote on this model you can download here:
The Degree of Customization (DoC) model is a way to quantify the amount of adaptations to a software product. It expresses the degree as a percentage where 0% indicates the out of the box product and where 100% indicates a fully bespoke product.
The DoC is based on three axes:
The count of the adaptations
The impact of the adaptations
The size of the adaptations
The DoC determines the degree for the building blocks comprising the software. What these building blocks are and the level of granularity is up to the company to determine. However, the granular finer and more exhaustive a list of building block is defined the more detailed and accurate the DoC can be measured.
In 2015 Tim Urban wrote a set of two articles on AI revolution that made me scared and humble at the same time. Will we keep the top position on the intelligence ladder or will we be surpassed by AI one day? If AI surpasses us will it be a kind God?
Some critical questions Urban answers:
Human evolution keeps on accelerating. Will we accelerate beyond a point we redefine what it is to be human?
AI is evolving fast from Artificial Narrow Intelligence (ANI), over General Intelligence (AGI) but will it reach Supper Intelligence (ASI)
Singularity is coming soon reaching AGI but will it stop there or go into ASI and surpass human capabilities?
AI has no biological limitations! Will it make humans extinct or will it help us to get to immortality?
