Using social media to enhance hei reputation final
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This document discusses the effective use of social media by higher education institutions and academics. It outlines various social media platforms that can be used, such as Facebook, Twitter, blogs and YouTube. The benefits of using social media include creating awareness, engaging stakeholders, monitoring responses, sharing ideas and building networks. It provides tips for developing an effective social media strategy, including producing quality content and linking to other media. Finally, it discusses ways to assess the impact of social media use, such as tracking follower numbers, retweets, reach and engagement on platforms like Twitter and Facebook.
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Paper Link: https://eprint.iacr.org/2024/257
From Natural Language to Structured Solr Queries using LLMs
This talk draws on experimentation to enable AI applications with Solr. One important use case is to use AI for better accessibility and discoverability of the data: while User eXperience techniques, lexical search improvements, and data harmonization can take organizations to a good level of accessibility, a structural (or “cognitive” gap) remains between the data user needs and the data producer constraints.
That is where AI – and most importantly, Natural Language Processing and Large Language Model techniques – could make a difference. This natural language, conversational engine could facilitate access and usage of the data leveraging the semantics of any data source.
The objective of the presentation is to propose a technical approach and a way forward to achieve this goal.
The key concept is to enable users to express their search queries in natural language, which the LLM then enriches, interprets, and translates into structured queries based on the Solr index’s metadata.
This approach leverages the LLM’s ability to understand the nuances of natural language and the structure of documents within Apache Solr.
The LLM acts as an intermediary agent, offering a transparent experience to users automatically and potentially uncovering relevant documents that conventional search methods might overlook. The presentation will include the results of this experimental work, lessons learned, best practices, and the scope of future work that should improve the approach and make it production-ready.
What is an RPA CoE? Session 1 – CoE Vision
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
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"$10 thousand per minute of downtime: architecture, queues, streaming and fin...
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As part of the talk, we will consider the architectural strategies necessary for the development of highly loaded fintech solutions. We will focus on using queues and streaming to efficiently work and manage large amounts of data in real-time and to minimize latency.
We will focus special attention on the architectural patterns used in the design of the fintech system, microservices and event-driven architecture, which ensure scalability, fault tolerance, and consistency of the entire system.
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor Ivaniuk
At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience
Mutation Testing for Task-Oriented Chatbots
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
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Using social media to enhance hei reputation final
- 1. John Tibbitt Hon Senior Research Fellow, University of Glasgow Policy Analyst, PASCAL International Observatory
- 2. Aims What can social media deliver in this context? How do social media fit Promoting the work of both alongside more conventional the HE institution and its staff approaches? How to use social media effectively? How to assess impact?
- 3. Social media platforms Facebook Blogs Twitter Wordpress Linkedin Blogspot Youtube Academia E-newspapers Web forums
- 4. Why use social media? HEIs Creating awareness – breaking news and commentary Engaging with partners, customers & other stakeholders – responding to customer requests Monitoring – learning about users’ response to HEI provision Learning from others – sharing good practice Rapid response to emerging issues Market testing Extending access and participation
- 5. Why use social media? Academic centres and staff Creating awareness of work Targeting distribution of news Monitoring a field of knowledge Sharing ideas and work in progress Network building Engaging with audiences outside instituions The ‘public academic’
- 6. Effective use Develop a strategy Develop a style Quality content Link to other media Get organised
- 8. Assessing Impact Twitter Facebook Numbers/profiles of Numbers/profiles of fans followers Reach Retweets /mentions Engagement Direct messages Lists
- 10. Tweet stats
- 11. Reach
- 12. More Social media for in business, see for example McKinsey Quarterly http://www.mckinseyquarterly.com/Marketing/Digital _Marketing/Demystifying_social_media_2958 Guide to social mobility for teaching research and impact, see LSE blog http://blogs.lse.ac.uk/impactofsocialsciences/2011/09/ 29/twitter-guide/
- 13. Thank you for listening Twitter joke! Tweet and Retweet are in a boat. Tweet falls out. Who is left? Retweet. John.Tibbitt@gla.ac.uk
- 14. PASCAL on-line Website: www.pascalobservatory.org Twitter: www.twitter.com/obspascal Facebook: www.facebook.com/Pascalobservatory E-papers: OBSERVATIONS: www.bit.ly/qOMppe OBSERVATIONS Weekend: www.bit.ly/pyJXUq