The document discusses artificial intelligence and its impact on employment. It summarizes a study that surveyed 150 people from different industries and age groups about their views on how AI will affect jobs. The key findings are:
1) 92.5% of respondents think AI will impact their jobs or industries.
2) Most want to learn how to work with AI or improve education to adapt, rather than believe AI will eliminate all jobs.
3) While some jobs will be automated, new types of jobs will also be created that don't exist yet, according to the study.
The Work Ahead in Higher Education: Repaving the Road for the Employees of To...Cognizant
Higher-ed institutions expect pandemic-driven disruption to continue, especially as hyperconnectivity, analytics and AI drive personalized education models over the lifetime of the learner, according to our recent research.
ACS EMERGING & DEEP TECH WEBINAR: THE RISE OF AI AND DATA SCIENCE AND ITS IMP...Kelvin Ross
In recent years Big Data, Data Science and AI has accelerated to point where technological systems are becoming more pervasive in our everyday lives. All aspects of society, work and industry are transforming in this 4th Industrial Revolution. Our personal data is now used to control our searches, news feeds and viewing recommendations. AI in healthcare is diagnosing disease, and proposing medical interventions. Facial recognition is granting us access, and monitoring our safety. Chat bots and automated agents are automatically handling our requests and vetting our applications.
With the increasing power of data and analytics comes responsibility. Our tech titans have gathered enormous power through collection of our personalised data. Recent failures have also highlighted how self-regulation has failed our data can be used weaponised against us, such as reflecting inherent racial biases or manipulating election outcomes. Community expectation is for government to regulate, and put in place appropriate governance and oversight structures.
In this talk Kelvin will explore the technological paradigm shift of AI and data science, review emerging ethical issues, and discuss regulatory and governance trends.
Masters in Computer Engineering - MITAOEMITAcademy1
Do you want to pursue Masters in Computer Engineering? Join MIT Academy of Engineering, part of famous MIT Pune Group. It is the best computer engineering college in Alandi, Pune to complete your Masters degree."
AI Readiness: Five Areas Business Must Prepare for Success in Artificial Inte...Kaleido Insights
This research report from technology research firm, Kaleido Insights introduces a framework for organizational preparedness—not only of data and infrastructure, but of people, ethical, strategic and practical considerations needed to deploy effective and sustainable machine and deep learning programs. This research is the first to market to articulate the need for readiness beyond data and data science talent. Based on extensive research and interviews of more than 25 businesses involved in AI deployments, the report identifies and examines five fundamental areas businesses must prepare for sustainable AI. Download the full report: https://www.kaleidoinsights.com/order-reports/artificial-intelligence-ai-readiness/
The Work Ahead in Higher Education: Repaving the Road for the Employees of To...Cognizant
Higher-ed institutions expect pandemic-driven disruption to continue, especially as hyperconnectivity, analytics and AI drive personalized education models over the lifetime of the learner, according to our recent research.
ACS EMERGING & DEEP TECH WEBINAR: THE RISE OF AI AND DATA SCIENCE AND ITS IMP...Kelvin Ross
In recent years Big Data, Data Science and AI has accelerated to point where technological systems are becoming more pervasive in our everyday lives. All aspects of society, work and industry are transforming in this 4th Industrial Revolution. Our personal data is now used to control our searches, news feeds and viewing recommendations. AI in healthcare is diagnosing disease, and proposing medical interventions. Facial recognition is granting us access, and monitoring our safety. Chat bots and automated agents are automatically handling our requests and vetting our applications.
With the increasing power of data and analytics comes responsibility. Our tech titans have gathered enormous power through collection of our personalised data. Recent failures have also highlighted how self-regulation has failed our data can be used weaponised against us, such as reflecting inherent racial biases or manipulating election outcomes. Community expectation is for government to regulate, and put in place appropriate governance and oversight structures.
In this talk Kelvin will explore the technological paradigm shift of AI and data science, review emerging ethical issues, and discuss regulatory and governance trends.
Masters in Computer Engineering - MITAOEMITAcademy1
Do you want to pursue Masters in Computer Engineering? Join MIT Academy of Engineering, part of famous MIT Pune Group. It is the best computer engineering college in Alandi, Pune to complete your Masters degree."
AI Readiness: Five Areas Business Must Prepare for Success in Artificial Inte...Kaleido Insights
This research report from technology research firm, Kaleido Insights introduces a framework for organizational preparedness—not only of data and infrastructure, but of people, ethical, strategic and practical considerations needed to deploy effective and sustainable machine and deep learning programs. This research is the first to market to articulate the need for readiness beyond data and data science talent. Based on extensive research and interviews of more than 25 businesses involved in AI deployments, the report identifies and examines five fundamental areas businesses must prepare for sustainable AI. Download the full report: https://www.kaleidoinsights.com/order-reports/artificial-intelligence-ai-readiness/
Artificial Intelligence (AI) and Job LossIkhlaq Sidhu
The arguments of job displacement, economic growth, and policy arguments related to artificial intelligence, data, algorithms, and automated technologies.
International conference on business e recruitmentibalakumar
E-recruitment is integration and utilization of internet technology to improve efficiency and effectiveness of recruitment process. E-recruitment Provides HR and Recruiters with the toolsTechnology and the capacity to deliver time and costeffective resourcing. E-recruitment can be importanttool in making organizational needs by providinginformation regarding potential hires.This paper deals with the Importance of e-recruitment in terms of cost, time and qualityefficiency in Indian Organizations /in Currentscenario. So this paper concludes with some globalE-Recruitment service providers as well as itemphasizes on the need of adopting such system byIndian Organization
Artificial Intelligence In Automotive Industry: Surprisingly Slow Uptake And ...Bernard Marr
Artificial intelligence has been a hot topic in the automotive industry for years, and we have seen rapid advances in things like autonomous driving. It, therefore, comes as a bit of a surprise that new research shows a slower than expected AI adoption rate. Let’s look at why.
In this study, the researcher evaluated the challenges of e-governance implementation in
Nigerian aviation industry, using Dana Airline. The objectives of the study are; to examine the
factors that hinder the effective implementation of e-governance in the selected airline in
aviation industry in Nigeria; and to examine if the factors identified in the implementation of egovernance
have significantly affected the performance of selected airlines in aviation industry
in Nigeria. Recorded population of the study is 850, and the study used Yaro Yamane formula
at 95% confidence level to obtain a sample size of 272. Cronbach alpha was employed to obtain
a reliability instrument that yielded an index coefficient of 0.843, which made the instrument
reliable. In line with the design of this study, the data that were collected for this study were
analyzed using both descriptive and inferential statistics. The objectives posed for the study were
answered using mean, standard deviation, and sample independent t-test statistics. The
hypothesis was tested at 5% level of significance. Based on the findings of the study, it was
concluded that ICT infrastructure is the most factor that hinders the implementation of egovernance
in Nigerian aviation industry. This means that without proper ICT infrastructure, it is
impossible to implement the e-governance in aviation industry in a developing country like
Nigeria. In the absence of proper awareness among the users of the e-governance system, it is
impossible to set up an effective e-governance system. Non-acceptability of IT systems, Low
financial capability, Lack of electricity, High-cost, low-reliability of Internet access, Lack of
training facilities and Lack of planning are all factors that hinder the effective implementation of
e-governance in aviation industry in Nigeria. The study also concluded that the
factors/challenges identified in the implementation of e-governance have significantly affected
the performance of selected airlines in aviation industry in Nigeria. The study therefore
recommends among others based on the findings of the study that it is paramount to have a
proper ICT infrastructure to implement e-governance; government should take appropriate steps
to enhance the awareness among the users of e-governance by organizing seminar meeting and
other enlighten the users in the proper application of e-governance.
Industry 4.0 (IR4.0) & Teaching New Trends in Education with HOTS.Timothy Wooi
Objectives
The main objective of the seminar is to understand how Educational sector can respond to and prepare for educating the 4th Industrial Revolution;
using technological strategies of CHANGE in skills & work,
To prepare Students to be competitive & current to fit in the emerging 4th Industrial Revolution Workforce.
HAI Industry Brief: AI & the Future of Work Post Covid
Stanford University, Human-Centered Artificial Intelligence:
Researchers studying how AI can be used to help teams collaborate, improve workplace culture, promote employee well-being, assist humans in dangerous environments, and more.
Source: https://aiindex.stanford.edu/wp-content/uploads/2021/03/2021-AI-Index-Report_Master.pdf
Review of AI Maturity Models in Automotive SME Manufacturinggerogepatton
This study reviews studies on Artificial Intelligence (AI) maturity models (MM) in automotive
manufacturing. To stay competitive, SMEs in the automotive industry need to embrace digitalization. SMEs
employ a large segment of the USA's workforce. The benefits of operational efficiency, quality
improvement, cost reduction, and innovative culture have made SMEs more aggressive about
digitalization. Digitalizing operations with Artificial Intelligence are on the rise. In this paper, AI
applications in SMEs are examined through the lens of an AI maturity model.
REVIEW OF AI MATURITY MODELS IN AUTOMOTIVE SME MANUFACTURINGijaia
This study reviews studies on Artificial Intelligence (AI) maturity models (MM) in automotive
manufacturing. To stay competitive, SMEs in the automotive industry need to embrace digitalization. SMEs
employ a large segment of the USA's workforce. The benefits of operational efficiency, quality
improvement, cost reduction, and innovative culture have made SMEs more aggressive about
digitalization. Digitalizing operations with Artificial Intelligence are on the rise. In this paper, AI
applications in SMEs are examined through the lens of an AI maturity model.
Artificial Intelligence (AI) and Job LossIkhlaq Sidhu
The arguments of job displacement, economic growth, and policy arguments related to artificial intelligence, data, algorithms, and automated technologies.
International conference on business e recruitmentibalakumar
E-recruitment is integration and utilization of internet technology to improve efficiency and effectiveness of recruitment process. E-recruitment Provides HR and Recruiters with the toolsTechnology and the capacity to deliver time and costeffective resourcing. E-recruitment can be importanttool in making organizational needs by providinginformation regarding potential hires.This paper deals with the Importance of e-recruitment in terms of cost, time and qualityefficiency in Indian Organizations /in Currentscenario. So this paper concludes with some globalE-Recruitment service providers as well as itemphasizes on the need of adopting such system byIndian Organization
Artificial Intelligence In Automotive Industry: Surprisingly Slow Uptake And ...Bernard Marr
Artificial intelligence has been a hot topic in the automotive industry for years, and we have seen rapid advances in things like autonomous driving. It, therefore, comes as a bit of a surprise that new research shows a slower than expected AI adoption rate. Let’s look at why.
In this study, the researcher evaluated the challenges of e-governance implementation in
Nigerian aviation industry, using Dana Airline. The objectives of the study are; to examine the
factors that hinder the effective implementation of e-governance in the selected airline in
aviation industry in Nigeria; and to examine if the factors identified in the implementation of egovernance
have significantly affected the performance of selected airlines in aviation industry
in Nigeria. Recorded population of the study is 850, and the study used Yaro Yamane formula
at 95% confidence level to obtain a sample size of 272. Cronbach alpha was employed to obtain
a reliability instrument that yielded an index coefficient of 0.843, which made the instrument
reliable. In line with the design of this study, the data that were collected for this study were
analyzed using both descriptive and inferential statistics. The objectives posed for the study were
answered using mean, standard deviation, and sample independent t-test statistics. The
hypothesis was tested at 5% level of significance. Based on the findings of the study, it was
concluded that ICT infrastructure is the most factor that hinders the implementation of egovernance
in Nigerian aviation industry. This means that without proper ICT infrastructure, it is
impossible to implement the e-governance in aviation industry in a developing country like
Nigeria. In the absence of proper awareness among the users of the e-governance system, it is
impossible to set up an effective e-governance system. Non-acceptability of IT systems, Low
financial capability, Lack of electricity, High-cost, low-reliability of Internet access, Lack of
training facilities and Lack of planning are all factors that hinder the effective implementation of
e-governance in aviation industry in Nigeria. The study also concluded that the
factors/challenges identified in the implementation of e-governance have significantly affected
the performance of selected airlines in aviation industry in Nigeria. The study therefore
recommends among others based on the findings of the study that it is paramount to have a
proper ICT infrastructure to implement e-governance; government should take appropriate steps
to enhance the awareness among the users of e-governance by organizing seminar meeting and
other enlighten the users in the proper application of e-governance.
Industry 4.0 (IR4.0) & Teaching New Trends in Education with HOTS.Timothy Wooi
Objectives
The main objective of the seminar is to understand how Educational sector can respond to and prepare for educating the 4th Industrial Revolution;
using technological strategies of CHANGE in skills & work,
To prepare Students to be competitive & current to fit in the emerging 4th Industrial Revolution Workforce.
HAI Industry Brief: AI & the Future of Work Post Covid
Stanford University, Human-Centered Artificial Intelligence:
Researchers studying how AI can be used to help teams collaborate, improve workplace culture, promote employee well-being, assist humans in dangerous environments, and more.
Source: https://aiindex.stanford.edu/wp-content/uploads/2021/03/2021-AI-Index-Report_Master.pdf
Review of AI Maturity Models in Automotive SME Manufacturinggerogepatton
This study reviews studies on Artificial Intelligence (AI) maturity models (MM) in automotive
manufacturing. To stay competitive, SMEs in the automotive industry need to embrace digitalization. SMEs
employ a large segment of the USA's workforce. The benefits of operational efficiency, quality
improvement, cost reduction, and innovative culture have made SMEs more aggressive about
digitalization. Digitalizing operations with Artificial Intelligence are on the rise. In this paper, AI
applications in SMEs are examined through the lens of an AI maturity model.
REVIEW OF AI MATURITY MODELS IN AUTOMOTIVE SME MANUFACTURINGijaia
This study reviews studies on Artificial Intelligence (AI) maturity models (MM) in automotive
manufacturing. To stay competitive, SMEs in the automotive industry need to embrace digitalization. SMEs
employ a large segment of the USA's workforce. The benefits of operational efficiency, quality
improvement, cost reduction, and innovative culture have made SMEs more aggressive about
digitalization. Digitalizing operations with Artificial Intelligence are on the rise. In this paper, AI
applications in SMEs are examined through the lens of an AI maturity model.
Website URL:https://www.airccse.org/journal/ijaia/ijaia.html Review of AI Mat...gerogepatton
This study reviews studies on Artificial Intelligence (AI) maturity models (MM) in automotive
manufacturing. To stay competitive, SMEs in the automotive industry need to embrace digitalization. SMEs
employ a large segment of the USA's workforce. The benefits of operational efficiency, quality
improvement, cost reduction, and innovative culture have made SMEs more aggressive about
digitalization. Digitalizing operations with Artificial Intelligence are on the rise. In this paper, AI
applications in SMEs are examined through the lens of an AI maturity model.
Talent Augmentation: Through Intelligent Process Automation, Smart Robots Ext...Cognizant
Process automation is moving from the factory floor to the world of knowledge work. But robots can't do it alone. Companies that calibrate smart people with smart machines are already achieving higher productivity and superior business results.
Companies need to complement their AI initiatives with governance that drives ethics and trust or these efforts will fall short of expectations, our latest research findings suggest.
COVID-19 has increased the need for intelligent decisioning through AI, but ROI is not guaranteed. Here's how to accelerate AI outcomes, according to our recent study.
Artificial intelligence is part of almost every business today; it facilitates business operations, increases productivity, and offers a variety of ways to speed up communication processes. Artificial intelligence and software (or software applications installed on it), as well as automation through AI systems, perform many of the tasks previously performed by employees and workers. Switching to an automated working environment has resulted in a lot of unnecessary business expenses, substantial time savings and a gradual increase in profits. The automation through AI of various business processes has taken many companies and organizations to the next level in terms of production and management.So, this article explains the role of artificial intelligence, machine learning and cloud computing in business. by Dr. Pawan Whig 2019. Artificial Intelligence and Machine Learning In Business. International Journal on Integrated Education. 2, 2 (Jun. 2019). https://journals.researchparks.org/index.php/IJIE/article/view/516/493 https://journals.researchparks.org/index.php/IJIE/article/view/516
Machine learning applications used in accounting and auditsvivatechijri
AI is a territory of software engineering that gains from a lot of information, recognizes examples, and makes expectations about future occasions. In the accounting and auditing professions, Machine Learning has been progressively utilized over the most recent couple of years. Thusly, this investigation means to Survey the current Machine Learning applications in accounting and auditing with a focus on Big Four Organizations. In this study, the AI devices and stages created by Big Four organizations are analyzed by directing a content investigation. It has been distinguished that Big Four organizations built up a few Machine learning devices that are utilized for predictable audits coordination and the management, completely automated audits. Accounting processes such as accounts receivable and accounts payable management, preparation of expense reports, and risk assessment can easily be automated by AI. For instance, machine learning algorithms can match an invoice received, decide the right business ledger for acknowledgment, and place it in a payment pool where a human specialist can inspect and submit the payment request to the payment queue.
EO Briefing 2015 is structured in three chapters. The first chapter examines the impact of digital technologies, particularly the Internet of Things (IoT) on business. The IoT presents an array of challenges and new revenue possibilities but the question is which companies will be able to capitalise on this opportunity. This an especially crucial question as C-suite executives see competition rising sharply in 2015.
Investing in AI: Moving Along the Digital Maturity CurveCognizant
Digitally mature businesses are more likely to consider themselves at an advanced stage of AI adoption, according to our recent study, enabling them to turn data into insights at the scale and precision required today.
Introducing and implementing the EUCIP Core training programme can only be efficient and successful if young professionals completing the training have a chance to be employed not only in Europe but also in Hungary. In the framework of the I-TShape project, the Pest County Foundation for Enterprise Promotion (PFEP) undertook to survey Hungarian stakeholders of the economy to assess the infrastructural background of various businesses, the status of this infrastructure, the conditions of its operation and the expectations towards professionals who operate and develop it. The results and conclusions of the survey are important for us, as we can use them in designing a training programme tailored to the needs of the Hungarian market demands that and then integrating it into the vocational training system in Hungary.
This Artificial Intelligence (AI) and Big Data Readiness Report
provides an analysis of a global survey of public relations
practitioners and academics and video/written evidence from
senior practitioners concerning the profession’s knowledge,
skills, adoption of and attitudes towards AI, and to a lesser
extent, Big Data. Its aim is to provide an overview of current AI
understanding and preparedness, but most importantly, provide
pointers to how the profession should equip itself to exploit the
potential and guard against the possible dangers of AI.
Similar to IRJET- Artificial Intelligence and its Impact on Employment (20)
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.