Knowledge Base

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The Big Policy Canvas Knowledge Base is a state-of-the-art, online and dynamic repository that functions as an accumulator uniting all the knowledge produced during the project. It is structured along the three dimensions of needs, trends and assets and furthermore offers a mapping among them by defining how they are interconnected and how they influence each other.

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Displaying 31 - 40 of 161

By now, the most promising application of artificial intelligence is the use of machine learning as a subfield of AI. The Encyclopaedia Britannica states that machine learning is concerned with the implementation of computer software that can learn autonomously. [1]

In: Trends

Gartner assumes that by 2020 modern BI and analytics platform components will deliver smart, governed, search- and visual-based data discovery capabilities. Natural-language generation and artificial intelligence will be a standard feature of 90% of modern BI platforms and organisations that offer users access to a curated catalogue of internal and external data will realise twice the business value from analytics investments than those that do not. Gartner outlined fifteen critical capabilities by a BI and Analytics Platform [1]:

In: Trends

Predictive analytics brings together advanced analytics capabilities. It extracts information from existing data sets in order to determine patterns and predict future impacts and trends. It forecasts what might happen in the future with an acceptable level of reliability, and includes what-if scenarios and risk assessments.[1]
Data analytics encompasses techniques such as regression analysis, pattern matching, forecasting, multivariate statistics, predictive modelling and forecasting. [2]

In: Trends

Cloud Computing is a model that enables ubiquitous access to a shared pool of configurable technological assets available on-demand in a virtualised environment. Cloud services are remotely managed by cloud service providers and can be rapidly provisioned and released with minimal effort or service provider interaction. It can potentially achieve coherence and economies of scale.
The cloud model encompasses the four deployment models Public, Private, Hybrid and Community and the following three delivery models [1]:
Software as a Service

In: Trends

There are various definitions of the Internet of Things (IoT). The Internet Engineering Task Force says Internet of Things’ basic idea is to connect electronical and non-electronical objects to provide seamless communication and contextual services by them through e.g. RFID tags, sensors, actuators or mobile phone. The latter is related to the term “things”. The term “Internet” considers the TCP/IP suite and non-TCP/IP suite at the same time. [1]

In: Trends

The pressure to redesign city infrastructures is strong, since climate change and the problem of allocation are defining new requirements, which will not be met through cosmetic and maintenance repairs. In particular, energy infrastructures like water, waste or recycling are affected by this issue.
The following description draws a picture for future smart cities.

In: Trends

The term Open Data means that data and content can be freely used, modified and shared by anyone for any purpose. Open Data is accessible for everyone and useable without any restrictions. [1]
Open Government Data refers to the wide range of information that public sector bodies collect, produce, reproduce and disseminate while accomplishing their institutional tasks. [2]

In: Trends

Key Performance Indicators (KPIs) are an integral component of public administrations performance measurement systems. In general, KPIs are assessment criteria that refer to the assessment dimensions Input, Process, Output, Impact and Outcome. [1]

In: Trends

Privacy by design is an approach that promotes privacy and data protection compliance throughout the whole system engineering process. The Information & Privacy Commissioner of Ontario has taken a leading role in developing the privacy by design concept, establishing a reference framework of “Seven foundational principles of privacy by design” with respect to a proactive, transparent and user-centric engineering process. [1][2]
The 7 principles are:
•    Proactive not Reactive; Preventative not Remedial
•    Privacy as the Default setting

In: Trends

Security by design is an approach in software engineering that promotes to design software from the ground up to be secure.
Core pillars of information security are confidentiality (only allow access to data for which the user is permitted), integrity (ensure data is not tampered or altered by unauthorized users) and availability (ensure systems and data are available to authorized users when they need it). [1]

 

In: Trends

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