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Presentation given at CILIP event in Edinburgh (28/11/2008)
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Join our latest Connector Corner webinar to discover how UiPath Integration Service revolutionizes API-centric automation in a 'Quote to Cash' process—and how that automation empowers businesses to accelerate revenue generation. A comprehensive demo will explore connecting systems, GenAI, and people, through powerful pre-built connectors designed to speed process cycle times. Speakers: James Dickson, Senior Software Engineer Charlie Greenberg, Host, Product Marketing Manager
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
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ICT role in 21 century education. How to ICT help in education
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Axa Assurance Maroc - Insurer Innovation Award 2024
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The Digital Insurer
Copy of the slides presented by Matt Robison to the SFWelly Salesforce user group community on May 2 2024. The audience was truly international with attendees from at least 4 different countries joining online. Matt is an expert in data cloud and this was a brilliant session.
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
Anna Loughnan Colquhoun
Effective data discovery is crucial for maintaining compliance and mitigating risks in today's rapidly evolving privacy landscape. However, traditional manual approaches often struggle to keep pace with the growing volume and complexity of data. Join us for an insightful webinar where industry leaders from TrustArc and Privya will share their expertise on leveraging AI-powered solutions to revolutionize data discovery. You'll learn how to: - Effortlessly maintain a comprehensive, up-to-date data inventory - Harness code scanning insights to gain complete visibility into data flows leveraging the advantages of code scanning over DB scanning - Simplify compliance by leveraging Privya's integration with TrustArc - Implement proven strategies to mitigate third-party risks Our panel of experts will discuss real-world case studies and share practical strategies for overcoming common data discovery challenges. They'll also explore the latest trends and innovations in AI-driven data management, and how these technologies can help organizations stay ahead of the curve in an ever-changing privacy landscape.
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc
Presented by Sergio Licea and John Hendershot
How to Troubleshoot Apps for the Modern Connected Worker
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Slides from the presentation on Machine Learning for the Arts & Humanities seminar at the University of Bologna (Digital Humanities and Digital Knowledge program)
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
Maria Levchenko
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
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The Digital Insurer
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024
The Digital Insurer
The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
Joaquim Jorge
This project focuses on implementing real-time object detection using Raspberry Pi and OpenCV. Real-time object detection is a critical aspect of computer vision applications, allowing systems to identify and locate objects within a live video stream instantly.
Real Time Object Detection Using Open CV
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Khem
Breathing New Life into MySQL Apps With Advanced Postgres Capabilities
🐬 The future of MySQL is Postgres 🐘
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RTylerCroy
With real-time traffic, hazard alerts, and voice instructions, among others, launching an intuitive taxi app in Brazil is your golden ticket to entrepreneurial success. For more info visit our website : https://www.v3cube.com/uber-clone-portuguese-brazil/
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Tech Trends Report 2024 Future Today Institute
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If you are a Domino Administrator in any size company you already have a range of skills that make you an expert administrator across many platforms and technologies. In this session Gab explains how to apply those skills and that knowledge to take your career wherever you want to go.
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A Domino Admins Adventures (Engage 2024)
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Edinburgh Dave Pattern
1.
OPAC 2.0 supporting
library users Dave Pattern, Library Systems Manager University of Huddersfield [email_address]
2.
3.
4.
does your OPAC
“suck”?
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6.
7.
8.
9.
pig ugly?
10.
“kissy, kissy?”
11.
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experiences at Huddersfield
13.
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spell checker
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keyword suggestions (2)
18.
keyword cloud
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borrowing suggestions
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personalised suggestions
21.
ratings and comments
22.
23.
other editions
24.
email alerts
25.
RSS feeds
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RSS feeds
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RSS feeds
28.
Google Book Search
29.
shelf browser
30.
was it worth
doing?
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other libraries
33.
Ann Arbor District
Library
34.
35.
Darien Public Library
36.
North Carolina State
University
37.
LibraryThing for Libraries
38.
Plymouth State University
39.
Topeka and Shawnee
County
40.
University of Warwick
41.
Hennepin County Library
42.
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VuFind
48.
fac-back-opac
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web services
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OPAC 2.0
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implementation of features
60.
feature importance
61.
technology adoption lifecycle
62.
technology adoption –
Q1 08?
63.
importance – UK
respondents
64.
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