But thanks to the exponential rise in processing power and the ubiquity of digitised information ("big data"), computers are increasingly able to perform complicated tasks more cheaply and effectively than people.
And today, economists are optimistic that all the new digital sources of information — Big Data, in the popular shorthand — will open the door to breakthroughs in the ability to measure, monitor and perhaps guide the economy.
Information, big data analysis and artificial intelligences are thus imagined to be an integral part of an environmental economy.
"When people free themselves from their traditional boundaries and come together to share ideas and information, big things can happen".
A substantial amount of agency administrative information – big data – can be transformed into knowledge for policy and management actions through a rigorous information generation process.
This old IT infrastructure is incapable of dealing with the massive new wave of heterogeneous information – big data – that's now available via sensors, mobile technology, and other Internet-enabled platforms.
The information Big Data collects goes far beyond this.
"I had to look at a lot of information, big topics, and figure out how do I make this subject engaging, how do I illustrate it accurately and fairly and how do I make people feel?" Couric said.
This wealth of genomic information ("big data") has prompted the use of advanced bioinformatics and statistical techniques for data storage, manipulation and analysis in animal genetics [ 7].
In the past seven years, IIBM successfully brought together computer scientists, medical doctors, biologists, statisticians, and chemists to present and discuss current topics on genomics, epigenomics, GWAS/PheWAS, imaging processing, healthcare information, big data analyses, and so on.
