Prufery, J., and Schottmullerz, C., Competing with Big Data, September 29, 2017Jens Prufer and Christoph Schottmuller, "Competing with Big Data", paper presented at the 20th Annual Conference of the Society for Institutional & Organizational Economics, Paris, June 15-17, 2016...
Competing with Big Data This paper studies competition in data-driven markets, that is, markets where the cost of quality production is decreasing in the amount of machine-generat... J Prufer,C Schottmmller - 《Social Science Electronic Publishing》 被引量: 22发表: 2017年 加载更多来源...
Competing with Big Data This paper studies competition in data-driven markets, that is, markets where the cost of quality production is decreasing in the amount of machine-generat... J Prufer,C Schottmmller - 《Social Science Electronic Publishing》 被引量: 22发表: 2017年 Are Manufacturers Com...
I think this revolution in measurement, starting with the switch from analog to digital data, is as profound as, say, the development of the microscope and what it did for biology and medicine. It’s not just big data in the sense that we have lots of data....
Corporate use of ALSPs has grown in particular for services such as e-discovery, litigation and investigative support, document review, and legal research. The demand for these services is expected to continue. The study finds that law firms commonly find themselves competing with Big Four firms ...
Digital health is increasingly promoting open health data. Although this open approach promises a number of benefits, it also leads to tensions with Indigenous data sovereignty movements led by Indigenous peoples around the world who are asserting contro
根据“Compared with Siri or other chatbots, ChatGPT uses a much bigger database (数据库) for training. It also learns things by itself.”可知ChatGPT使用一个更大的数据库进行训练,它也可以自己学习成为一个优秀的机器。故填Because ChatGPT uses a very big database for training and it also learn...
Numerical studies show first the efficient approximation of all limit scenarios as well as its comparable convergence rate in contrast with those under linear normalization, and then present the maximum likelihood estimation and diagnosis of accelerated p-max/p-min stable models for simulated data sets...
The STM takes a 3 nm × 3 nm image of the surface and performs a cross-correlation routine with the same region cropped out from the “big” overview image until it corrects for any drift that has occurred in the interim. (4) Once the correct injection location has been ...
Yet with big data analytics, studies are increasingly conducted using secondary data analysis without community participation, which further distances marginalized communities from leadership and control and produces less culturally relevant and sometimes even erroneous results26,37,38. The benefits of health...