Evolution of the IBM Cloud: Enabling an enterprise cloud services ecosystem

Kochut, Andrzej; Deng, Yu; Head, Michael R.; Munson, Jonathan; Sailer, Anca; Shaikh, Hidayatullah; Tang, Chunqiang; Amies, A.; Beaton, Mhairi; Geiss, D.; Herman, Debbie; Macho, H.; Pappe, Stefan; Peddle, S.; Rendahl, Randy; Reyes, A. E. Tomala; Sluiman, H.; Snitzer, B.; Volin, T.; Wagner, H. H.

doi:10.1147/jrd.2011.2170920

Cited by 19 publications

(8 citation statements)

References 3 publications

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“…Cloud computing is a new paradigm that is transforming the information technology (IT) industry and reshaping the way enterprise services are developed, deployed, sold, delivered, and consumed [ 13 ]. Instead of managing complex IT systems, customers can focus on the core competence of their enterprise while obtaining all required IT functions as a service.…”

Section: Features Of Cloud Computingmentioning

confidence: 99%

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Potential Concerns and Common Benefits of Cloud-Based Enterprise Resource Planning (ERP)

Parthasarathy¹

2013

Computer Communications and Networks

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Enterprise resource planning (ERP) is an industry-driven concept and system that is universally accepted by the industry as a practical solution to achieve integrated enterprise information systems. Enterprises are analyzing the use of cloud provision to carry out their business processes. The shift to the cloud-based business management technology has already started as it leverages the use of abstracted resources. This chapter strives to compare and contrast conventional ERP and cloud ERP systems with respect to three perspectives: organizational, business, and technological. In this chapter, the architecture of conventional ERP and cloud ERP are discussed as well as the business drivers and the deployment options during the implementation of cloud-based ERP system. A case study of a cloud ERP system is carried out, and the fi ndings are presented for the benefi t of the ERP implementation teams. The objective of the research study is to help the top management to determine the best deployment options for their organizations. This has been done by means of highlighting the potential benefi ts an enterprise can reap if they choose to stay with cloud ERP and the concerns they should address to minimize the risks leading to a low-cost and effortless implementation of a complete cloud-based ERP software solution. Keywords Cloud • Enterprise resource planning • ERP • Software • Risks Introduction to ERP and CloudEnterprise resource planning (ERP) is a generic term for integrated systems. ERP projects are a subclass of software projects often accompanied by large-scale organizational changes. ERP attempts to integrate all departments and functions across

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Section: Features Of Cloud Computingmentioning

confidence: 99%

“…Table 9.1 shows the features of cloud computing [ 2 ]. Figure 9.1 shows the basic architecture of cloud computing [ 13 ]. Cloud computing is staking a growing presence on the market with innovative, feasible business models and solutions that pose a threat to the business model of established IT vendors.…”

Section: Features Of Cloud Computingmentioning

confidence: 99%

Potential Concerns and Common Benefits of Cloud-Based Enterprise Resource Planning (ERP)

Parthasarathy¹

2013

Computer Communications and Networks

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“…The possibilities offered by the wide variety of available cloud-based cognitive computing solutions is changing people's lives, as well as the information technology industry methodologies. In fact, the adoption of the cloud computing paradigm in the design, development, deploy and delivery of advanced services has created new scenarios where we can easily manage complex, scalable and interoperable systems, obtaining all the required functions "as a service" from a rich catalog [22], in compelling applications. As a test bed to show the effectiveness of this paradigm, we addressed the problem of illegal dumping prevention in a smart city, and we investigated the possibility of developing a smart alerting solution, through the use of the integrated cognitive computing programming environment available within the IBM Cloud platform.…”

Section: Introductionmentioning

confidence: 99%

A cloud-based cognitive computing solution with interoperable applications to counteract illegal dumping in smart cities

Coccoli

Francesco

Fusco³

et al. 2021

Multimed Tools Appl

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The study presented in this paper is the outcome of the activity carried on within the program “Party Cloud Challenge per Genova”, promoted by IBM in collaboration with the city municipality of Genoa, Italy. This challenge aimed to show how using cognitive computing solutions in an integrated cloud-based development environment enables the rapid deployment of advanced services with interoperable applications. Specifically, we investigated a solution to cope with the problem of illegal dumping prevention in a smart city. In this respect, we will describe the study of the prototype of an automated visual recognition and alerting system. The presented solution relies on the use of cognitive computing technologies to analyze videos provided by cameras installed in urban areas, to identify trash, especially bulky waste, where it should not be, and trigger an alarm to the municipality. In particular, we want to take advantage of the pictures, frames and videos continuously recorded by cameras installed for traffic monitoring, for surveillance, etc. in smart cities where the waste management system is supposed to be integrated with other municipality services for environment control and management. Besides, an organization plan is also proposed for intelligent waste collection as well as some organizational ideas for scalability.

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“…For instance, IBM provides a tool for the information extraction from plain text to ultimately build a KG integrating input documents [ 46 ]. The tool integrates a set of their services (e.g., Watson [ 47 ] and Cloud [ 48 ]).…”

Section: Introductionmentioning

confidence: 99%

KGen: a knowledge graph generator from biomedical scientific literature

Rossanez

Reis

Torres

et al. 2020

BMC Med Inform Decis Mak

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Background Knowledge is often produced from data generated in scientific investigations. An ever-growing number of scientific studies in several domains result into a massive amount of data, from which obtaining new knowledge requires computational help. For example, Alzheimer’s Disease, a life-threatening degenerative disease that is not yet curable. As the scientific community strives to better understand it and find a cure, great amounts of data have been generated, and new knowledge can be produced. A proper representation of such knowledge brings great benefits to researchers, to the scientific community, and consequently, to society. Methods In this article, we study and evaluate a semi-automatic method that generates knowledge graphs (KGs) from biomedical texts in the scientific literature. Our solution explores natural language processing techniques with the aim of extracting and representing scientific literature knowledge encoded in KGs. Our method links entities and relations represented in KGs to concepts from existing biomedical ontologies available on the Web. We demonstrate the effectiveness of our method by generating KGs from unstructured texts obtained from a set of abstracts taken from scientific papers on the Alzheimer’s Disease. We involve physicians to compare our extracted triples from their manual extraction via their analysis of the abstracts. The evaluation further concerned a qualitative analysis by the physicians of the generated KGs with our software tool. Results The experimental results indicate the quality of the generated KGs. The proposed method extracts a great amount of triples, showing the effectiveness of our rule-based method employed in the identification of relations in texts. In addition, ontology links are successfully obtained, which demonstrates the effectiveness of the ontology linking method proposed in this investigation. Conclusions We demonstrate that our proposal is effective on building ontology-linked KGs representing the knowledge obtained from biomedical scientific texts. Such representation can add value to the research in various domains, enabling researchers to compare the occurrence of concepts from different studies. The KGs generated may pave the way to potential proposal of new theories based on data analysis to advance the state of the art in their research domains.

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Evolution of the IBM Cloud: Enabling an enterprise cloud services ecosystem

Cited by 19 publications

References 3 publications

Potential Concerns and Common Benefits of Cloud-Based Enterprise Resource Planning (ERP)

Potential Concerns and Common Benefits of Cloud-Based Enterprise Resource Planning (ERP)

A cloud-based cognitive computing solution with interoperable applications to counteract illegal dumping in smart cities

KGen: a knowledge graph generator from biomedical scientific literature

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