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Paul Martin: CIOs don’t retire, they go work on boards

CIO Business Intelligence

Two years of pandemic uncertainty and escalating business risk have sharpened the focus of corporate boards on a technology trend once dismissed as just another IT buzzword. I bring the tech and cyber expertise to those boards, and also the digital piece,” adds Martin, a member of the CIO Hall of Fame since 2017. “It

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The Luck of The Irish: The Rise in Air Traffic & Irish Economic Growth

Sisense

The study looked at both air freight and air passenger traffic from the year 2000 to 2017. Top 20 Countries in Passenger Traffic, 2017. Air Passengers Relative to Population Size (Adults 15+) by Country in 2017. report is a great illustration of how Ireland has ridden the waves of economic uncertainty and emerged successfully.

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A Year After: Has Blockchain Changed Advertising by 2022?

Smart Data Collective

In 2019, this environment evolved, multiplying the number of blockchain marketing startups from 22 (2017) to 290 (2019) , which is more than 13 times in a year. Regulatory uncertainty, poor awareness, and lack of professionals are still challenges that stand in the way of the mass deployment of such solutions.

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Climate change predictions: Anticipating and adapting to a warming world

IBM Big Data Hub

According to the Geophysical Fluid Dynamics Laboratory of the US’s National Oceanic and Atmospheric Association (NOAA), “Climate models reduce the uncertainty of climate change impacts, which aids in adaptation.” Global Change Research Program, 2017. Copernicus, Jan. link resides outside ibm.com).

Modeling 122
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The trinity of errors in financial models: An introductory analysis using TensorFlow Probability

O'Reilly on Data

All models, therefore, need to quantify the uncertainty inherent in their predictions. These factors lead to profound epistemic uncertainty about model parameters. Financial models need a framework that quantifies the uncertainty inherent in predictions of time-variant stochastic processes. References. Thompson, L.S.

Modeling 134
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Operational Finance in the Age of Covid-19: Time to Change the Basics?

Jet Global

Data analytics are essential to supporting business decisions and, as companies seek to understand the status of their inventories, supply chains, and customer orders during the current period of uncertainty, operational data is now firmly at the forefront of decision-making.

Finance 98
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Simulation for better decision making

Cloudera

Derman (2016), Cesa (2017) & Bouchard (2018)). Probability, Uncertainty and Quantitative Risk (2017) 2:6. These examples are well covered by many others (e.g., Trades, Quotes and Prices: Financial Markets Under the Microscope, Cambridge University Press, 2018. Mauro Cesa. “A A Brief History of Quantitative Finance”.