Semantically Enhanced Interactions between Heterogeneous Data Life-Cycles - A...Basil Ell
This presentation was given at MTSR 2013 - 7th Metadata and Semantics Research Conference, Thessaloniki, and is related the publication of the same title.
Abstract of the publication: This paper highlights how Semantic Web technologies facilitate new socio-technical interactions between researchers and libraries focussing research data in a Virtual Research Environment. Concerning data practices in the fields of social sciences and humanities, the worlds of researchers and librarians have so far been separate. The increased digitization of research data and the ubiquitous use of Web technologies change this situation and offer new capacities for interaction. This is realized as a semantically enhanced Virtual Research Environment, which offers the possibility to align the previously disparate data life-cycles in research and in libraries covering a variety of inter-activities from importing research data via enriching research data and cleansing to exporting and sharing to allow for reuse.
Currently, collaborative qualitative and quantitative analyses of a large digital corpus of educational lexica are carried out using this semantic and wiki-based research environment.
The publication is available at http://www.aifb.kit.edu/images/a/ac/MTSR2013_publication_-_Basil_Ell%3B_Christoph_Schindler%3B_Marc_Rittberger.pdf
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
From a sea of projects to collaboration opportunities within secondsMichel Drescher
Using multifactor-analysis to efficiently analyse large amounts of data in order to find a cluster of closely related projects for business opportunities, partnerships, competitor analysis and collaboration
Claremont Report on Database Research: Research Directions (Le Gruenwald)infoblog
This is a set of slides from the Claremont Report on Database Research, see http://db.cs.berkeley.edu/claremont/ for more details. These particular slides are from a "Research Directions" talk by "Le Gruenwald." (Uploaded for discussion at the Stanford InfoBlog, http://infoblog.stanford.edu/.)
Special Issue on: "Advances in Neural Network Models and Algorithms for Data ...gerogepatton
Recent advances in storage, hardware, information technology, communication, and networking have resulted in increasingly large and complex heterogeneous data. This has powered the demand to extract useful and actionable insights from data in an automatic, reliable and scalable way. Neural networks are widely used learning machines with powerful learning ability and adaptability, which have achieved remarkable performance in the data analytical tasks, such as computer vision, face/speech recognition, video surveillance, document summarization, distributed and/or real-time resource allocation, etc. Recently there is a surge of research activities devoted to theoretical development of scalable and robust learning models on deep neural networks, neurodynamics, combinatorial optimization techniques.
A presentation for the Ottawa AI/ML Meetup Group, Sept 9, 2019.
A person’s Facebook newsfeed from their vacation is to the real-world as Kaggle competitions are to industrial ML/AI projects. This presentation shares with the audience some common challenges in ML/AI that real-world practitioners face while doing their craft, along with suggestions on how to address them. This is a non-technical presentation but does assume some knowledge of data science process and ML/AI.
Architectural Model of Spatially Enabled E-Government in IndonesiaAdhiawan Soegiharto
Master\'s thesis in e-government with spatial enablement, presented in the
International Conference on Advanced Computer Science & Information System (ICACSIS), Bali, Indonesia, November 2010
Semantically Enhanced Interactions between Heterogeneous Data Life-Cycles - A...Basil Ell
This presentation was given at MTSR 2013 - 7th Metadata and Semantics Research Conference, Thessaloniki, and is related the publication of the same title.
Abstract of the publication: This paper highlights how Semantic Web technologies facilitate new socio-technical interactions between researchers and libraries focussing research data in a Virtual Research Environment. Concerning data practices in the fields of social sciences and humanities, the worlds of researchers and librarians have so far been separate. The increased digitization of research data and the ubiquitous use of Web technologies change this situation and offer new capacities for interaction. This is realized as a semantically enhanced Virtual Research Environment, which offers the possibility to align the previously disparate data life-cycles in research and in libraries covering a variety of inter-activities from importing research data via enriching research data and cleansing to exporting and sharing to allow for reuse.
Currently, collaborative qualitative and quantitative analyses of a large digital corpus of educational lexica are carried out using this semantic and wiki-based research environment.
The publication is available at http://www.aifb.kit.edu/images/a/ac/MTSR2013_publication_-_Basil_Ell%3B_Christoph_Schindler%3B_Marc_Rittberger.pdf
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
From a sea of projects to collaboration opportunities within secondsMichel Drescher
Using multifactor-analysis to efficiently analyse large amounts of data in order to find a cluster of closely related projects for business opportunities, partnerships, competitor analysis and collaboration
Claremont Report on Database Research: Research Directions (Le Gruenwald)infoblog
This is a set of slides from the Claremont Report on Database Research, see http://db.cs.berkeley.edu/claremont/ for more details. These particular slides are from a "Research Directions" talk by "Le Gruenwald." (Uploaded for discussion at the Stanford InfoBlog, http://infoblog.stanford.edu/.)
Special Issue on: "Advances in Neural Network Models and Algorithms for Data ...gerogepatton
Recent advances in storage, hardware, information technology, communication, and networking have resulted in increasingly large and complex heterogeneous data. This has powered the demand to extract useful and actionable insights from data in an automatic, reliable and scalable way. Neural networks are widely used learning machines with powerful learning ability and adaptability, which have achieved remarkable performance in the data analytical tasks, such as computer vision, face/speech recognition, video surveillance, document summarization, distributed and/or real-time resource allocation, etc. Recently there is a surge of research activities devoted to theoretical development of scalable and robust learning models on deep neural networks, neurodynamics, combinatorial optimization techniques.
A presentation for the Ottawa AI/ML Meetup Group, Sept 9, 2019.
A person’s Facebook newsfeed from their vacation is to the real-world as Kaggle competitions are to industrial ML/AI projects. This presentation shares with the audience some common challenges in ML/AI that real-world practitioners face while doing their craft, along with suggestions on how to address them. This is a non-technical presentation but does assume some knowledge of data science process and ML/AI.
Architectural Model of Spatially Enabled E-Government in IndonesiaAdhiawan Soegiharto
Master\'s thesis in e-government with spatial enablement, presented in the
International Conference on Advanced Computer Science & Information System (ICACSIS), Bali, Indonesia, November 2010
Coordinated and adaptive information collecting in target tracking wireless s...LogicMindtech Nologies
NS2 Projects for M. Tech, NS2 Projects in Vijayanagar, NS2 Projects in Bangalore, M. Tech Projects in Vijayanagar, M. Tech Projects in Bangalore, NS2 IEEE projects in Bangalore, IEEE 2015 NS2 Projects, WSN and MANET Projects, WSN and MANET Projects in Bangalore, WSN and MANET Projects in Vijayangar
FP7 OpenCube project presentation at NTTS 2015 conferenceEfthimios Tambouris
FP7 OpenCube project presentation at New Techniques and Technologies for Statistics (NTTS) conference. The conference took plance at Brussels between 10 and 12 March 2015.
Wireless sensor networks (WSNs) are used in many data-intensive applications. Although, it faces the problem to send all the data sensed by the sensor nodes to the base station within an application’s lifetime due to the limited power supplies. Several mobile nodes like data mules, robotics and mobile base station were used for minimizing power utilization. In this paper, several mobile nodes are studied and the low-priced throwaway mobile relays have been projected which reduce the energy utilization of those WSNs. This proposed work has two main aspects which differ from previous work. First, the mobile nodes are implemented in the low-priced mobile sensor platforms. Second, in the entire optimization framework, the power for both wireless transmission and mobility are reduced. The proposed Centralized Algorithm and Distributed Algorithm used in three stages, in first stage, a most favourable direction-finding tree is computed in which no nodes can move. In second stage, the topology of the routing tree is enhanced by adding new nodes. Finally, the nodes are relocated to get better the routing tree without altering the arrangement of that topology.
Fine-tuning for Polyp Segmentation with Attentionmultimediaeval
Paper: http://ceur-ws.org/Vol-2882/paper15.pdf
Rabindra Khadka : Transfer of Knowledge: Fine-tuning for Polyp Segmentation with Attention. Proc. of MediaEval 2020, 14-15 December 2020, Online.
This paper describes how the transfer of prior knowledge can effectively take on segmentation tasks with the help of attention mechanisms. The UNet model pretrained on brain MRI dataset was fine-tuned with the polyp dataset. Attention mechanism was integrated to focus on relevant regions in the input images. The implemented architecture is evaluated on 200 validation images based on intersection over union and dice score between groundtruth and predicted region. The model demonstrates a promising result with computational efciency.
Track 13. Uncertainty in Digital Humanities
Author: Amelie Dorn, Eveline Wandl-Vogt, Thomas Palfinger, Jose Luis Preza Diaz, Barbara Piringer, Alexander Schatek and Rainer Zoubek
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Long-term data curation, aka data preservation - EUDAT Summer School (Marjan ...EUDAT
Marjan will give an overview of the role of data archives in ensuring the safe stewardship and preservation of data over time. She will explain what it means to be a Trustworthy Digital Repository and the associated policies and processes that need to be in place to ensure data provenance and authenticity. This session will link to Monday’s exploration of the re3data.org portal
Visit: https://www.eudat.eu/eudat-summer-school
Coordinated and adaptive information collecting in target tracking wireless s...LogicMindtech Nologies
NS2 Projects for M. Tech, NS2 Projects in Vijayanagar, NS2 Projects in Bangalore, M. Tech Projects in Vijayanagar, M. Tech Projects in Bangalore, NS2 IEEE projects in Bangalore, IEEE 2015 NS2 Projects, WSN and MANET Projects, WSN and MANET Projects in Bangalore, WSN and MANET Projects in Vijayangar
FP7 OpenCube project presentation at NTTS 2015 conferenceEfthimios Tambouris
FP7 OpenCube project presentation at New Techniques and Technologies for Statistics (NTTS) conference. The conference took plance at Brussels between 10 and 12 March 2015.
Wireless sensor networks (WSNs) are used in many data-intensive applications. Although, it faces the problem to send all the data sensed by the sensor nodes to the base station within an application’s lifetime due to the limited power supplies. Several mobile nodes like data mules, robotics and mobile base station were used for minimizing power utilization. In this paper, several mobile nodes are studied and the low-priced throwaway mobile relays have been projected which reduce the energy utilization of those WSNs. This proposed work has two main aspects which differ from previous work. First, the mobile nodes are implemented in the low-priced mobile sensor platforms. Second, in the entire optimization framework, the power for both wireless transmission and mobility are reduced. The proposed Centralized Algorithm and Distributed Algorithm used in three stages, in first stage, a most favourable direction-finding tree is computed in which no nodes can move. In second stage, the topology of the routing tree is enhanced by adding new nodes. Finally, the nodes are relocated to get better the routing tree without altering the arrangement of that topology.
Fine-tuning for Polyp Segmentation with Attentionmultimediaeval
Paper: http://ceur-ws.org/Vol-2882/paper15.pdf
Rabindra Khadka : Transfer of Knowledge: Fine-tuning for Polyp Segmentation with Attention. Proc. of MediaEval 2020, 14-15 December 2020, Online.
This paper describes how the transfer of prior knowledge can effectively take on segmentation tasks with the help of attention mechanisms. The UNet model pretrained on brain MRI dataset was fine-tuned with the polyp dataset. Attention mechanism was integrated to focus on relevant regions in the input images. The implemented architecture is evaluated on 200 validation images based on intersection over union and dice score between groundtruth and predicted region. The model demonstrates a promising result with computational efciency.
Track 13. Uncertainty in Digital Humanities
Author: Amelie Dorn, Eveline Wandl-Vogt, Thomas Palfinger, Jose Luis Preza Diaz, Barbara Piringer, Alexander Schatek and Rainer Zoubek
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Long-term data curation, aka data preservation - EUDAT Summer School (Marjan ...EUDAT
Marjan will give an overview of the role of data archives in ensuring the safe stewardship and preservation of data over time. She will explain what it means to be a Trustworthy Digital Repository and the associated policies and processes that need to be in place to ensure data provenance and authenticity. This session will link to Monday’s exploration of the re3data.org portal
Visit: https://www.eudat.eu/eudat-summer-school
Stacked Generalization of Random Forest and Decision Tree Techniques for Libr...IJEACS
The huge amount of library data stored in our modern research and statistic centers of organizations is springing up on daily bases. These databases grow exponentially in size with respect to time, it becomes exceptionally difficult to easily understand the behavior and interpret data with the relationships that exist between attributes. This exponential growth of data poses new organizational challenges like the conventional record management system infrastructure could no longer cope to give precise and detailed information about the behavior data over time. There is confusion and novel concern in selecting tools that can support and handle big data visualization that deals with multi-dimension. Viewing all related data at once in a database is a problem that has attracted the interest of data professionals with machine learning skills. This is a lingering issue in the data industry because the existing techniques cannot be used to remove or filter noise from relevant data and pad up missing values in order to get the required information. The aim is to develop a stacked generalization model that combines the functionality of random forest and decision tree to visualization library database visualization. In this paper, the random forest and decision tree techniques were employed to effectively visualize large amounts of school library data. The proposed system was implemented with a few lines of Python code to create visualizations that can help users at a glance understand and interpret the behavior of data and its relationships. The model was trained and tested to learn and extract hidden patterns of data with a cross-validation test. It combined the functionalities of both models to form a stacked generalization model that performed better than the individual techniques. The stacked model produced 95% followed by the RF which produced a 95% accuracy rate and 0.223600 RMSE error value in comparison with the DT which recorded an 80.00% success rate and 0.15990 RMSE value.
Making research data more resourceful - Jisc digital festival 2015Jisc
This discussion examined how best to implement policy and deliver services to meet the needs of researchers, their funders, and the university. institutional research data management policies, infrastructure and support services and will be showcased alongside the DMPOnline tool that helps researchers produce effective data management plans.
Building a business case and institutional policy on a 10Y research data mana...jiscdatapool
This presentation draws heavily on a report from the Institutional Data Management Blueprint (IDMB) Project, which began the work on research data management (RDM) at the University of Southampton now being taken on by DataPool. In this talk we want to connect the development of roadmaps with the business case and policy for making progress with research data management at an institutional level. Taking the IDMB example with others, this seems like a logical sequence, but in practice this is not always the case. At Southampton we have a roadmap and an official institutional research data policy, but the business case is still to be approved. Other institutions appear to have begun with a policy. Here we will focus on the roadmap and business case rather than policy.
Andragogy Research Scholarship Opportunity: MSc by Research in Leadership & M...Cranfield University
Cranfield University specialises in applied research which shapes our teaching and is converted into practical application of knowledge in Management and Technology. We have a unique Masters by Research in Leadership and Management opportunity for someone to help us to develop the distinctive scholarship of post-graduate, post-experience learning in adults.
The lack of current research in this emerging field offers exciting opportunities for ground-breaking research, and early indications are that motivations, knowledge acquisition and application are very different from standard pedagogies based on child learners. If so, your research has the potential to transform university education.
You may already be working in education or be considering a role in academia; or you might be in a managerial or learning-related role in industry. Either way, you are interested in management, motivation, leadership and learning. This is not a teaching post, although if that is part of your planned career path opportunities to gain academic experience may be available to the right candidate.
Working closely with our new Centre for Andragogy and Academic Skills, your research will push forward the boundaries of our understanding about how adults learn; your results will demonstrate how to maximise learning and could be published in scholarly journals as well as influencing the learning and teaching practices in higher education.
You will join a cohort of research students in our world-leading School of Management and be given training in academic research methods appropriate to your research needs, and you will work directly with students and academics across various themes within the University.
A scholarship of up to full UK/EU fees is available. Note that this scholarship does not provide funding for living expenses or other costs.
Potential research topics include: What is Cranfield’s signature andragogy?; Andragogy and new developments in Learning and Teaching; Developing the Reflective Practitioner; Kolb updated and applied.
Admission requirements:
• a strong first degree (UK level 2.1 minimum)
• please see website for English language requirements.
Deadline for applications: 31 July.
Expressions of interest, alongside a CV, are invited via email to Dr Madeline Fisher m.fisher@cranfield.ac.uk in the first instance.
See full details via the link: http://bit.ly/CranfieldAndragogy
Target Gaming, Organizational Deviance and the Unintended Consequences of Per...Cranfield University
PhD Project opportunity at Cranfield School of Management within the area of Business Performance Management and Strategy. http://www.cranfield.ac.uk/som/phd
Organizational Stewardship and Strategic Change: An Evolutionary PerspectiveCranfield University
PhD Project opportunity at Cranfield School of Management within the area of Business Performance Management and Strategy. http://www.cranfield.ac.uk/som/phd
PhD Project opportunity at Cranfield School of Management within the area of Business Performance Management and Strategy. http://www.cranfield.ac.uk/som/phd
PhD Project opportunity at Cranfield School of Management within the area of Business Performance Management and Strategy. http://www.cranfield.ac.uk/som/phd
PhD Project opportunity at Cranfield School of Management within the area of organizational behaviour and managing people and global careers.
http://www.cranfield.ac.uk/som/doctoralopendays
PhD Project opportunity at Cranfield School of Management within the area of organizational behaviour and managing people and global careers.
http://www.cranfield.ac.uk/som/doctoralopendays
PhD Project opportunity at Cranfield School of Management within the area of organizational behaviour and managing people and global careers.
http://www.cranfield.ac.uk/som/doctoralopendays
PhD Project opportunity at Cranfield School of Management within the area of Economics, Policy & Performance.
http://www.cranfield.ac.uk/som/doctoralopendays
Generational differences in work values: A review of theory and evidence (2011), Parry E, Urwin P.
http://dx.doi.org/10.1111/j.1468-2370.2010.00285.x
Abstract
This paper presents a critical review of the theoretical basis and empirical evidence for the popular practitioner idea that there are generational differences in work values. The concept of generations has a strong basis in sociological theory, but the academic empirical evidence for generational differences in work values is, at best, mixed. Many studies are unable to find the predicted differences in work values, and those that do often fail to distinguish between ‘generation’ and ‘age’ as possible drivers of such observed differences. In addition, the empirical literature is fraught with methodological limitations through the use of cross-sectional research designs in most studies, confusion about the definition of a generation as opposed to a cohort, and a lack of consideration for differences in national context, gender and ethnicity. Given the multitude of problems inherent in the evidence on generational differences in work values, it is not clear what value the notion of generations has for practitioners, and this may suggest that the concept be ignored. Ultimately, it may not matter to practitioners whether differences in the values of different birth cohorts reflect true generational effects, provided one can reliably demonstrate that these differences do exist. However, at present this is not the case, and therefore significant research is required first to disentangle cohort and generational effects from those caused by age or period. The suggestion that different groups of employees have different values and preferences, based on both age and other factors such as gender, remains a useful idea for managers; but a convincing case for consideration of generation as an additional distinguishing factor has yet to be made.
Research by the International Centre for Women Leaders at Cranfield School of Management has influenced recruitment for board-level appointments of publicly listed UK companies and has changed the composition of corporate boards in UK FTSE-350 companies.
These changes in board composition, as well as the practices of leading executive search firms, owe much to the work of the Lord Davies Steering Group, which draws extensively on the Centre's research.
For more information about the work of Cranfield’s International Centre for Women Leaders: www.cranfield.ac.uk/som/cicwl
Key ways you can get involved with Research at Cranfield School of Management:
International Executive Doctorate (DBA)
PhD in Management
Research Clubs
Maximising Mindful Learning: An Innovative Mindfulness Intervention Improves ...Cranfield University
Poster for Mindfulness at Work 2014 Conference by Dr Laura Bakosh, Dr. Renee Snow, Dr. Jutta Tobias and Janice Houlihan (Collaboration project: Sofia University, Innerexplorer.org, Cranfield University) #MAWC14
To help organizations understand how their marketing functions can work with their internal and external stakeholders to successfully implement sustainability-led innovation.
Cranfield School of Management and The
Open University Business School are both
highly ranked, triple-accredited business
schools. Together, they jointly direct and invite
membership to the Government Affairs
Research Club (GARC). Our mission is to be thought leaders and a centre of excellence for cutting edge business-government affairs and advocacy
management research.
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
Francesca Gottschalk - How can education support child empowerment.pptxEduSkills OECD
Francesca Gottschalk from the OECD’s Centre for Educational Research and Innovation presents at the Ask an Expert Webinar: How can education support child empowerment?
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.