The NEW CDPWater Report finds that responding to water risks costs 5 times less than inaction. It’s time for all businesses to tackle water risks for a resilient, NetZero future. Companies in the food, apparel, energy, chemicals, pharmaceuticals and mining sectors are...
We live in a world with significant health, economic, climate, human population and geopolitical pressures. At the same time, we have rapid advances in technology, especially digital and AI, that are transforming our work, play and finances. In general, we hope that...
See link to World Economic Forum video below. https://twitter.com/PCAanalytics/status/1326610149725917188?s=20 This is a tweet from the PCA cognition aggregator feed on Twitter
Covid-19 is impacting employment in so many industries. In October 2020, it was a major focus of the Annual General Meeting of the Intergovernmental Forum on Mining, Minerals, Metals and Sustainable Development (IGF). A link to the summary article is provided below....
An interesting article from University of Delaware: "A new approach to artificial intelligence that builds in uncertainty." AI workers are combining the best of both worlds. Deterministic models based on scientific understanding of processes and statistical models, to...
PCA currently uses Private Collaborative Webs on the Slack platform. Slack manages the IT infrastructure in the cloud, with enterprise-grade data protection that meets your compliance requirements. PCA acts as a catalyst to significantly improve your process and...
Cameronbridge Distillery, Scotland. This Diageo distillery is the birthplace of Cameronbridge pure grain whisky, and it is also where Gordons Gin, Smirnoff Vodka and other 'exotic' spirits are distilled
Attribution: James Allan / Cameronbridge Distillery, via Wikimedia Commons
VisIt's Scatter plot allows for the visualisation of multivariate data of up to four dimensions
The Scatter plot takes multiple scalar variables and uses them for different axes in phase space. The different variables are combined to form coordinates in the phase space and they are displayed using glyphs and coloured using another scalar variable.
Attribution: UCRL [Public domain], via Wikimedia Commons
Data fusion involves techniques that combine data from multiple sources (dimension #1 & #2) and gather that information in order to achieve inferences (see scatter plot)
Image of random data plus trend, with best-fit line and smoothing curves
The data is 1000 points, with a trend of 1-in-100, with random normal noise of SD 10 superimposed. The r2 fit of the raw data is 0.08; of the 10-pt-smoothed, 0.57; of 100-pt-smoothed, 0.97. For the raw data, the simple trend line explains almost none of the variance of the time series (only 8%). For the 100-pt filtering, the trend line explains almost all of the data (97%). The trend lines are almost identical as are the confidence levels. It shows that a low r2 value should not be interpreted as evidence of lack of trend.
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