![deluge artificial academy 2 download deluge artificial academy 2 download](https://pcgamestorrents.com/wp-content/uploads/2018/02/Artificial-Academy-2-PC-Crack.jpg)
Investors and portfolio managers should consider an AI market index to minimize risk or invest in stocks of AI-adopted listed firms to maximize excess returns.Īrtificial Intelligence (AI) implementation incorporates challenges that are unique to the context of AI, such as dealing with probabilistic outputs. Observing the performance of AI-adopted firms is an interesting direction for technical and fundamental analysts.
#DELUGE ARTIFICIAL ACADEMY 2 DOWNLOAD DRIVER#
The deployment of AI in firms serves as a resilient, crucial driver for sustainable performance in challenging environments. The results suggest that the AI stocks were more resilient than conventional stocks when the financial market was exposed to uncertainty caused by the COVID-19 pandemic.
![deluge artificial academy 2 download deluge artificial academy 2 download](https://gamefabrique.com/screenshots2/pc/artificial-academy-2-11.big.jpg)
The performance of the AI stock market recovered quicker than the conventional stock market when the pandemic went into its third month. The results show that the negative impact of COVID-19 on the AI stock market was less severe than on the conventional stock market in the first month of the pandemic. The single-group and multiple-group Interrupted Time-Series Analyses (ITSA) with panel data were used with four interventions: when the news of COVID-19 spread and the pandemic entered the first, second, third, and fourth months (24 February 2020, 23 March 2020, 20 April 2020, and, respectively). We estimate and compare the impact of the coronavirus pandemic (COVID-19) on the performance of Artificial Intelligence (AI) and conventional listed firms using stock market indices. The research contributions draw on a wide range of qualitative and quantitative methods, addressing behavioral and design-oriented research questions in the field of information systems. To attain the overarching research objective, this cumulative dissertation reports on eight individual research papers embedded in a framework that builds on the big data analytics-related business value model of Grover et al. The overarching aim of this cumulative dissertation is to provide theoretical underpinnings for and empirical evidence of the mechanisms necessary to build and realize AI capabilities for data-driven value creation in an organizational context. However, companies regularly fall short of their expectations, as they lack the knowledge of building AI capabilities or the understanding of value-creating mechanisms.
![deluge artificial academy 2 download deluge artificial academy 2 download](https://referenceboat.weebly.com/uploads/1/2/3/9/123926844/723707888.jpg)
In this context, expectations are often placed on artificial intelligence (AI)-driven analytics to exploit the unutilized information potential of big data. The paper concludes with an identification of the gaps in the literature and develops a research agenda that identifies areas that need to be addressed by future studies.Įnabling data-driven decision-making is a central theme of modern digital strategies. Our analysis synthesizes the current literature and highlights: (1) the key enablers and inhibitors of AI adoption and use (2) the typologies of AI use in the organizational setting and (3) the first- and second-order effects of AI. This study provides a systematic literature review that attempts to explain how organizations can leverage AI technologies in their operations and elucidate the value-generating mechanisms. The lack of a coherent understanding of how AI technologies create business value, and what type of business value is expected, therefore necessitates a holistic understanding. Nevertheless, organizations are still struggling to adopt and leverage AI in their operations. Over the past few years, organizations are increasingly turning to AI in order to gain business value following a deluge of data and a strong increase in computational capacity. Artificial Intelligence (AI) are a wide-ranging set of technologies that promise several advantages for organizations in terms off added business value.