Enterprise IT Operations

2022 ◽  
pp. 74-82
Author(s):  
Harrick Vin
Keyword(s):  
Information Technology ◽  
Support Function ◽  
Significant Challenge ◽  
The Past ◽  
Novel Approach ◽  
Cognitive Transformation ◽  
Cognitive Automation ◽  
Business Function ◽  
Traditional Approaches ◽  
It Operations

Over the past decade or so, for most enterprises, information technology (IT) has shifted from being a support function to be a synonym for business wellness. During the same period, though, the scale and complexity of IT for running business has grown significantly; today, performing any business function requires complex interplay of many, often invisible and dynamically changing, technology components. This is making design resilient and interruption-free IT a significant challenge. This chapter discusses limitations of traditional approaches for managing enterprise IT operations; introduces the concept of cognitive automation, a novel approach that blends intelligence with automation to transform enterprise IT operations; and describes the design of ignio™, a cognitive automation platform for enterprises. The author concludes by highlighting the challenges in driving cognitive transformation of enterprise operations and providing some suggestions for embarking upon this journey.

Enterprise IT Operations

2020 ◽  
pp. 305-313
Author(s):  
Harrick Vin
Keyword(s):  
Information Technology ◽  
Support Function ◽  
Significant Challenge ◽  
The Past ◽  
Novel Approach ◽  
Cognitive Transformation ◽  
Cognitive Automation ◽  
Business Function ◽  
Traditional Approaches ◽  
It Operations

Over the past decade or so, for most enterprises, information technology (IT) has shifted from being a support function to be a synonym for business wellness. During the same period, though, the scale and complexity of IT for running business has grown significantly; today, performing any business function requires complex interplay of many, often invisible and dynamically changing, technology components. This is making design resilient and interruption-free IT a significant challenge. This chapter discusses limitations of traditional approaches for managing enterprise IT operations; introduces the concept of cognitive automation, a novel approach that blends intelligence with automation to transform enterprise IT operations; and describes the design of ignio™, a cognitive automation platform for enterprises. The author concludes by highlighting the challenges in driving cognitive transformation of enterprise operations and providing some suggestions for embarking upon this journey.

E-Projects Challenges in India – Role of Human Resource Management and Technology

2018 ◽  
Vol 6 (8) ◽  
pp. 263
Author(s):  
Ramnik Kaur
Keyword(s):  
Developing Countries ◽  
Public Administration ◽  
Paradigm Shift ◽  
Successful Implementation ◽  
The Public ◽  
Government Services ◽  
The Past ◽  
The Government ◽  
Traditional Approaches

E-governance is a paradigm shift over the traditional approaches in Public Administration which means rendering of government services and information to the public by using electronic means. In the past decades, service quality and responsiveness of the government towards the citizens were least important but with the approach of E-Government the government activities are now well dealt. This paper withdraws experiences from various studies from different countries and projects facing similar challenges which need to be consigned for the successful implementation of e-governance projects. Developing countries like India face poverty and illiteracy as a major obstacle in any form of development which makes it difficult for its government to provide e-services to its people conveniently and fast. It also suggests few suggestions to cope up with the challenges faced while implementing e-projects in India.

Recent Progress in Machine Learning-based Prediction of Peptide Activity for Drug Discovery

2019 ◽  
Vol 19 (1) ◽  
pp. 4-16 ◽  
Author(s):  
Qihui Wu ◽  
Hanzhong Ke ◽  
Dongli Li ◽  
Qi Wang ◽  
Jiansong Fang ◽  
...  
Keyword(s):  
Machine Learning ◽  
Drug Discovery ◽  
Large Scale ◽  
Recent Progress ◽  
High Specificity ◽  
Learning Approaches ◽  
Anticancer Peptides ◽  
The Past ◽  
Traditional Approaches ◽  
Large Scale Screening

Over the past decades, peptide as a therapeutic candidate has received increasing attention in drug discovery, especially for antimicrobial peptides (AMPs), anticancer peptides (ACPs) and antiinflammatory peptides (AIPs). It is considered that the peptides can regulate various complex diseases which are previously untouchable. In recent years, the critical problem of antimicrobial resistance drives the pharmaceutical industry to look for new therapeutic agents. Compared to organic small drugs, peptide- based therapy exhibits high specificity and minimal toxicity. Thus, peptides are widely recruited in the design and discovery of new potent drugs. Currently, large-scale screening of peptide activity with traditional approaches is costly, time-consuming and labor-intensive. Hence, in silico methods, mainly machine learning approaches, for their accuracy and effectiveness, have been introduced to predict the peptide activity. In this review, we document the recent progress in machine learning-based prediction of peptides which will be of great benefit to the discovery of potential active AMPs, ACPs and AIPs.

Extraordinary circumstances: Covid-19 – Italian Serie A scenario

2021 ◽  
pp. 175433712110192
Author(s):  
Milan Radojicic ◽  
Aleksandar Djokovic ◽  
Nikola Cvetkovic
Keyword(s):  
Cluster Analysis ◽  
Hierarchical Cluster Analysis ◽  
Hierarchical Cluster ◽  
Round Robin ◽  
The Past ◽  
Novel Approach ◽  
Round Robin Tournaments

Unpredictable and uncontrollable situations have happened throughout history. Inevitably, such situations have an impact on various spheres of life. The coronavirus disease 2019 has affected many of them, including sports. The ban on social gatherings has caused the cancellation of many sports competitions. This paper proposes a methodology based on hierarchical cluster analysis (HCA) that can be applied when a need occurs to end an interrupted tournament and the conditions for playing the remaining matches are far from ideal. The proposed methodology is based on how to conclude the season for Serie A, a top-division football league in Italy. The analysis showed that it is reasonable to play 14 instead of the 124 remaining matches of the 2019–2020 season to conclude the championship. The proposed methodology was tested on the past 10 seasons of the Serie A, and its effectiveness was confirmed. This novel approach can be used in any other sport where round-robin tournaments exist.

scholarly journals Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 3046
Author(s):  
Shervin Minaee ◽  
Mehdi Minaei ◽  
Amirali Abdolrashidi
Keyword(s):  
Deep Learning ◽  
Facial Expression ◽  
Facial Expression Recognition ◽  
Expression Recognition ◽  
Visualization Technique ◽  
Convolutional Network ◽  
The Past ◽  
Multiple Datasets ◽  
The Face ◽  
Traditional Approaches

Facial expression recognition has been an active area of research over the past few decades, and it is still challenging due to the high intra-class variation. Traditional approaches for this problem rely on hand-crafted features such as SIFT, HOG, and LBP, followed by a classifier trained on a database of images or videos. Most of these works perform reasonably well on datasets of images captured in a controlled condition but fail to perform as well on more challenging datasets with more image variation and partial faces. In recent years, several works proposed an end-to-end framework for facial expression recognition using deep learning models. Despite the better performance of these works, there are still much room for improvement. In this work, we propose a deep learning approach based on attentional convolutional network that is able to focus on important parts of the face and achieves significant improvement over previous models on multiple datasets, including FER-2013, CK+, FERG, and JAFFE. We also use a visualization technique that is able to find important facial regions to detect different emotions based on the classifier’s output. Through experimental results, we show that different emotions are sensitive to different parts of the face.

scholarly journals Information Technology, Marketing Database and the Process of Integrated Marketing Communications (IMC): A Resource-Capability Nexus

2018 ◽  
Vol 6 (4) ◽  
Author(s):  
Ayaz Ahmad ◽  
Salniza Md. Salleh ◽  
Selvan a/l Perumal
Keyword(s):  
Information Technology ◽  
Marketing Communications ◽  
Marketing Communication ◽  
Integrated Marketing Communications ◽  
Integrated Marketing ◽  
The Past ◽  
Technology Marketing ◽  
Industry Professionals ◽  
Research Avenue

This study aims at identifying and conceptually linking Information Technology, Marketing Database and the IMC process in a resource paradigm. It also conceptually posits the mediated role of Marketing Database to further transmit the absorbed effect to the IMC process. Review of the past studies has been done to conceptually connect these resources and/or capabilities. This paper establishes different relationships to be further tested empirically for both the academia and industry professionals. The main contribution is to conceptually theorize all the three concept and linking them conceivably that were either missing or vague in the marketing communication literature. Further, it also provides a research avenue to seek the complementarity of such resources by utilizing the extended RBV theory. The theoretical framework proposed is based on past literature from the RBV and marketing communications literature positing some new structural paths beside certain previous linkage (s) if any.

scholarly journals Investments in an intelligent and digital future

2020 ◽  
Author(s):  
Róbert Marciniak ◽  
Péter Móricz ◽  
Máté Baksa
Keyword(s):  
Business Models ◽  
It Services ◽  
Structured Interviews ◽  
Business Services ◽  
Services Sector ◽  
The Past ◽  
Information And Communication ◽  
Cognitive Automation ◽  
Ict Industry

Over the past few years, there has been an avalanche of new digital technologies in the business services sector, many of which proved to be disruptive. Business service centres (BSCs) even in innovative industries like information and communication technology (ICT) find it highly challenging to accommodate these changes. New technological solutions transform consumer needs, shape organizational processes, and alter the way employees cooperate in a computerized environment. These changes make it inevitable for companies to adjust their business models. In this paper, we present a case study of IT Services Hungary Ltd., a Hungarian based BSC in the ICT industry. We carried out semi-structured interviews with the CEO and four senior technology experts of the company to analyse digital transformation plans they initiated. We investigated and now reveal three projects through which they implemented cognitive automation, cloud computing, and advanced cybersecurity technologies. We also describe the general organizational, financial, employment, and motivational background of these projects at IT Services Hungary Ltd. With this paper, we aim to present transferable best practices and appealing management efforts to invest in an intelligent and digital future.

scholarly journals A Multi-Perspective Theoretical Analysis to Web Accessibility

2017 ◽  
pp. 117-139 ◽  
Author(s):  
Carlos Peixoto ◽  
Frederico Branco ◽  
José Martins ◽  
Ramiro Gonçalves
Keyword(s):  
Information Technology ◽  
Theoretical Analysis ◽  
Direct Contact ◽  
Public Services ◽  
Web Accessibility ◽  
End Users ◽  
The Past ◽  
Software Companies ◽  
Challenges And Opportunities ◽  
Work Done

Accessibility has become increasingly important in information technology, particularly due to legislation pressure to make affordable public services to all. Being end-users and software companies those who have direct contact with accessibility problems, other stakeholders are committed to defining methods and change mentalities in Web accessibility implementation. In addition to a conceptual definition, this chapter presents entities views with responsibilities in the area, taking into account their work done in the past and the prospects for future. The understanding of the interaction between all these perspectives will help to realize the way it will go, which carries with it great challenges and opportunities, widely explored in this work.

scholarly journals Adaptive Bacteria Colony Picking in Unstructured Environments Using Intensity Histogram and Unascertained LS-SVM Classifier

2014 ◽  
Vol 2014 ◽  
pp. 1-10
Author(s):  
Kun Zhang ◽  
Minrui Fei ◽  
Xin Li ◽  
Huiyu Zhou
Keyword(s):  
Support Vector Machine ◽  
Mean Shift ◽  
Least Square ◽  
Support Vector ◽  
Svm Classifier ◽  
Least Square Estimation ◽  
Unstructured Environments ◽  
Novel Approach ◽  
Traditional Approaches ◽  
Improved Support Vector Machine

Features analysis is an important task which can significantly affect the performance of automatic bacteria colony picking. Unstructured environments also affect the automatic colony screening. This paper presents a novel approach for adaptive colony segmentation in unstructured environments by treating the detected peaks of intensity histograms as a morphological feature of images. In order to avoid disturbing peaks, an entropy based mean shift filter is introduced to smooth images as a preprocessing step. The relevance and importance of these features can be determined in an improved support vector machine classifier using unascertained least square estimation. Experimental results show that the proposed unascertained least square support vector machine (ULSSVM) has better recognition accuracy than the other state-of-the-art techniques, and its training process takes less time than most of the traditional approaches presented in this paper.

Personality and Emotional Development

2013 ◽  
Author(s):  
Nathan A. Fox ◽  
Bethany C. Reeb-Sutherland ◽  
Kathryn A. Degnan
Keyword(s):  
Emotional Development ◽  
Neural Circuitry ◽  
Infants And Children ◽  
Emotion Development ◽  
The Past ◽  
Traditional Approaches ◽  
Gene X Environment Interactions ◽  
In Infants And Children

Over the past 20 years, research on the development of emotions and interest in the emotion–cognition interface has blossomed. Coinciding with this growth has been research on the neural circuitry and development of two basic motivational/emotion states: one brought on by threat and danger (i.e., fear) and one resulting from actively pursuing or receiving reward (i.e., reward/joy). The current chapter reviews traditional approaches to thinking about emotional development and temperament in infants and children. It then reviews the neuroscience work associated with fear and reward with a focus on the development of these systems. A particular emphasis will be placed on how this research and the examination of gene X environment interactions can influence research in personality and emotion development.

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