This document describes web annotation use cases using the Pundit web annotator. It provides examples of three personas and how they could use annotation tools. The first is an investor commenting on a company's annual report. The second is a user improving the quality of data in a digital archive by annotating inaccuracies. The third is a scholar annotating parts of text in a correspondence to link entities like people and places to aid further research. The document promotes Pundit annotation tools and provides more information on related projects and the company website.
Ozu is One of greatest Japanese directors as well as a screen writer.
Here i introduce his
1. Biography,
2. Education received,
3. Influences from and toward others in the film industry,
4. Accomplishments, and
5. Reputation
Ozu is One of greatest Japanese directors as well as a screen writer.
Here i introduce his
1. Biography,
2. Education received,
3. Influences from and toward others in the film industry,
4. Accomplishments, and
5. Reputation
TOWARDS AUTOMATIC DETECTION OF SENTIMENTS IN CUSTOMER REVIEWSijistjournal
Opinions Play important role in the process of knowledge discovery or information retrieval and can be considered as a sub discipline of Data Mining. A major interest has been received towards the automatic extraction of human opinions from web documents. The sole purpose of Sentiment Analysis is to facilitate online consumers in decision making process of purchasing new products. Opinion Mining deals with searching of sentiments that are expressed by Individuals through on-line reviews,surveys, feedback,personal blogs etc. With the vast increase in the utilization of Internet in today's era a similar increase has been seen in the use of blog's,reviews etc. The person who actually uses these reviews or blog's is mostly a consumer or a manufacturer. As most of the customers of the world are buying & selling product on-line so it becomes company's responsibility to make their product updated. In the current scenario companies are taking product reviews from the customers and on the basis of product reviews they are able to know in which they are lacking or strong this can be accomplished with the help of sentiment analysis. Therefore Our objective of our research is to build a tool which can automatically extract opinion words and find out their polarity by using dictionary,This actually reduces the manual effort of reading these reviews and to evaluate them. The research also illustrates the benefits of using Unstructured text instead of training data which expensive . In this research effort we demonstrate a method which is based on rules where product reviews are extracted from review containing sites and analysis is done, so that a person may know whether a particular product review is positive or negative or neutral. The system will utilize a existing knowledge base for calculate positive and negative scores and on the basis of that decide whether a product is recommended or not. The system will evaluate the utility of Lexical resources over the training data.
TOWARDS AUTOMATIC DETECTION OF SENTIMENTS IN CUSTOMER REVIEWSijistjournal
Opinions Play important role in the process of knowledge discovery or information retrieval and can be considered as a sub discipline of Data Mining. A major interest has been received towards the automatic extraction of human opinions from web documents. The sole purpose of Sentiment Analysis is to facilitate online consumers in decision making process of purchasing new products. Opinion Mining deals with searching of sentiments that are expressed by Individuals through on-line reviews,surveys, feedback,personal blogs etc. With the vast increase in the utilization of Internet in today's era a similar increase has been seen in the use of blog's,reviews etc. The person who actually uses these reviews or blog's is mostly a consumer or a manufacturer. As most of the customers of the world are buying & selling product on-line so it becomes company's responsibility to make their product updated. In the current scenario companies are taking product reviews from the customers and on the basis of product reviews they are able to know in which they are lacking or strong this can be accomplished with the help of sentiment analysis. Therefore Our objective of our research is to build a tool which can automatically extract opinion words and find out their polarity by using dictionary,This actually reduces the manual effort of reading these reviews and to evaluate them. The research also illustrates the benefits of using Unstructured text instead of training data which expensive . In this research effort we demonstrate a method which is based on rules where product reviews are extracted from review containing sites and analysis is done, so that a person may know whether a particular product review is positive or negative or neutral. The system will utilize a existing knowledge base for calculate positive and negative scores and on the basis of that decide whether a product is recommended or not. The system will evaluate the utility of Lexical resources over the training data.
[Case Study] Physician, Know Thy User: Using Personas to Target Content and U...Scott Abel
Presented by Joe Sokohl at Documentation and Training Life Sciences, June 23-26, 208 in Indianapolis.
Ever have a project fail? You met with your project team, you talked with the customer, you reviewed technical requirements. But did you talk to your users? Just as one diagnosis doesn’t fit all patients, one application’s approach doesn’t work for all users. Know who accesses your information and uses your applications. Only then choose your features. Using a case study of a multinational project covering four countries, 10 business units, and tens of thousands of content elements, we’ll explore personas, scenarios, and other user-centered techniques. We’ll look at identifying users as well as segregating content according to users and regulatory needs.
What was involved in this cases study?
First we analyzed the 10 business units and their approaches and definitions of business goals. Next we analyzed industry standards for medical devices and their usage.
But that wasn’t enough. We interviewed 40 people in 4 countries, and created an information architecture prototype. We then tested this prototype in hospitals, doctors’ offices, and on site where medical devices were in use.
Based on this contextual inquiry, we refined the architecture and our understanding of the users. Decisions were then made on what type of content would be both appropriate and legal for each user and in each country.
Only with a solid understanding of the users and their goals could we define a flexible, extensible, and usable information and content architecture.
TOWARDS AUTOMATIC DETECTION OF SENTIMENTS IN CUSTOMER REVIEWSijistjournal
Opinions Play important role in the process of knowledge discovery or information retrieval and can be considered as a sub discipline of Data Mining. A major interest has been received towards the automatic extraction of human opinions from web documents. The sole purpose of Sentiment Analysis is to facilitate online consumers in decision making process of purchasing new products. Opinion Mining deals with searching of sentiments that are expressed by Individuals through on-line reviews,surveys, feedback,personal blogs etc. With the vast increase in the utilization of Internet in today's era a similar increase has been seen in the use of blog's,reviews etc. The person who actually uses these reviews or blog's is mostly a consumer or a manufacturer. As most of the customers of the world are buying & selling product on-line so it becomes company's responsibility to make their product updated. In the current scenario companies are taking product reviews from the customers and on the basis of product reviews they are able to know in which they are lacking or strong this can be accomplished with the help of sentiment analysis. Therefore Our objective of our research is to build a tool which can automatically extract opinion words and find out their polarity by using dictionary,This actually reduces the manual effort of reading these reviews and to evaluate them. The research also illustrates the benefits of using Unstructured text instead of training data which expensive . In this research effort we demonstrate a method which is based on rules where product reviews are extracted from review containing sites and analysis is done, so that a person may know whether a particular product review is positive or negative or neutral. The system will utilize a existing knowledge base for calculate positive and negative scores and on the basis of that decide whether a product is recommended or not. The system will evaluate the utility of Lexical resources over the training data.
TOWARDS AUTOMATIC DETECTION OF SENTIMENTS IN CUSTOMER REVIEWSijistjournal
Opinions Play important role in the process of knowledge discovery or information retrieval and can be considered as a sub discipline of Data Mining. A major interest has been received towards the automatic extraction of human opinions from web documents. The sole purpose of Sentiment Analysis is to facilitate online consumers in decision making process of purchasing new products. Opinion Mining deals with searching of sentiments that are expressed by Individuals through on-line reviews,surveys, feedback,personal blogs etc. With the vast increase in the utilization of Internet in today's era a similar increase has been seen in the use of blog's,reviews etc. The person who actually uses these reviews or blog's is mostly a consumer or a manufacturer. As most of the customers of the world are buying & selling product on-line so it becomes company's responsibility to make their product updated. In the current scenario companies are taking product reviews from the customers and on the basis of product reviews they are able to know in which they are lacking or strong this can be accomplished with the help of sentiment analysis. Therefore Our objective of our research is to build a tool which can automatically extract opinion words and find out their polarity by using dictionary,This actually reduces the manual effort of reading these reviews and to evaluate them. The research also illustrates the benefits of using Unstructured text instead of training data which expensive . In this research effort we demonstrate a method which is based on rules where product reviews are extracted from review containing sites and analysis is done, so that a person may know whether a particular product review is positive or negative or neutral. The system will utilize a existing knowledge base for calculate positive and negative scores and on the basis of that decide whether a product is recommended or not. The system will evaluate the utility of Lexical resources over the training data.
[Case Study] Physician, Know Thy User: Using Personas to Target Content and U...Scott Abel
Presented by Joe Sokohl at Documentation and Training Life Sciences, June 23-26, 208 in Indianapolis.
Ever have a project fail? You met with your project team, you talked with the customer, you reviewed technical requirements. But did you talk to your users? Just as one diagnosis doesn’t fit all patients, one application’s approach doesn’t work for all users. Know who accesses your information and uses your applications. Only then choose your features. Using a case study of a multinational project covering four countries, 10 business units, and tens of thousands of content elements, we’ll explore personas, scenarios, and other user-centered techniques. We’ll look at identifying users as well as segregating content according to users and regulatory needs.
What was involved in this cases study?
First we analyzed the 10 business units and their approaches and definitions of business goals. Next we analyzed industry standards for medical devices and their usage.
But that wasn’t enough. We interviewed 40 people in 4 countries, and created an information architecture prototype. We then tested this prototype in hospitals, doctors’ offices, and on site where medical devices were in use.
Based on this contextual inquiry, we refined the architecture and our understanding of the users. Decisions were then made on what type of content would be both appropriate and legal for each user and in each country.
Only with a solid understanding of the users and their goals could we define a flexible, extensible, and usable information and content architecture.
Enhancement and Enrichment of Digital Content by User Communities: The Aust...guest6a9161
Presentation by Rose Holley, Manager - Australian Newspapers Digitisation Program to the Innovative Ideas Forum held at the National Library of Australia 27 March 2009
Impact your Library UX with Contextual InquiryRachel Vacek
A contextual inquiry is a research study that involves in-depth interviews where users walk through common tasks in the physical environment in which they typically perform them. It can be used to better understand the intents and motivations behind user behavior. In this session, learn what’s needed to conduct a contextual inquiry and how to analyze the ethnographic data once collected. I'll cover how to synthesize and visualize your findings as sequence models and affinity diagrams that directly inform the development of personas and common task flows. Finally, learn how this process can help guide your design and content strategy efforts while constructing a rich picture of the user experience.
S.NoSalesforce Business Analyst roleComputer Systems Analysts.docxjeffsrosalyn
S.No
Salesforce Business Analyst role
Computer Systems Analysts
Match the roles and responsibilities
Which point of computer system analyst role match to
Salesforce analyst point?
Explain briefly how it is related in IT project in real time world
1
Responsible for gathering and Creating Custom Objects, Tabs, Custom Apps, Workflows,
Approval processes, Validate Rules, Page Layouts, Data Mapping, Data Export and Imports,
Application Support, Security Administration, Maintenance, and User Security Management, Creating Reports, Dashboards,
Apex Triggers, Apex classes, Data migration, SOQL, SOSL Queries.
Consult with managers to determine the role of IT systems in an organization
2
Responsible to build standard report templates, data validation, and issue research/resolution,
Strong analytical, reporting, Excel, and database skills, extensive knowledge of CRM software (experience administering and configuring Salesforce.com application and Oracle ERP applications).
Research emerging technologies to decide if installing them can increase the organization's efficiency and effectiveness
3
Work with various Salesforce.com objects like Accounts, Contacts, Leads, Opportunities, Reports, and created custom objects based on Business need.
Prepare an analysis of costs and benefits so that management can decide if IT systems and computing infrastructure upgrades are financially worthwhile
4
Work as a Sales Force Chatter APP with the organization and regularly participated in the meetings and chatter community.
Devise ways to add new functionality to existing computer systems
5
Create New Reports, New Dash Boards, and worked on Data Loader by uploading about close to a million records and experienced in cleansing and De-duplicating bulk loads.
Design and implement new systems by choosing and configuring hardware and software
6
Implement pick lists, dependent pick lists, lookups, master detail relationships, validation and formula fields to custom objects.
Oversee the installation and configuration of new systems to customize them for the organization
7
Generate Apex Classes using WSDL and wrote business logic layer for integration with external web services to the system for functional needs.
Conduct testing to ensure that the systems work as expected
8
Integrate and deploy custom integration solutions using Force.com Eclipse IDE Plug-in,
Force.com Explorer, Data Loader, Force.com Excel Connector, Migration Tool and process builder.
Train the systems' end users and write instruction manuals
9
Conduct Release Management tasks required to promote tested functionality from different sandboxes into production environment. Expeftise in Agile/Serum and Waterfall methodologies, SOftware Development Life Cycle (SPLC) processes.
10
Added custom fields and validations to new and existing objects and added custom functionality using custom controllers and custom extensions.
11
Deploy salesforce components from sandbox to production using Change Set and E.
Contextual Inquiry: How Ethnographic Research can Impact the UX of Your WebsiteRachel Vacek
A contextual inquiry is a research study that involves in-depth interviews where users walk through common tasks in the physical environment in which they typically perform them. It can be used to better understand the intents and motivations behind user behavior. In this session, learn what’s needed to conduct a contextual inquiry and how to analyze the ethnographic data once collected. We’ll cover how to synthesize and visualize your findings as sequence models and affinity diagrams that directly inform the development of personas and common task flows. Finally, learn how this process can help guide your design and content strategy efforts while constructing a rich picture of the user experience.
30 AI Tools for Educators, Librarians, and Researchers: Leveraging, AI Tools ...Lucky Gods
Supercharge Your Workflow: 30 AI Tools for Education Power Users
Feeling overwhelmed by lesson plans, research rabbit holes, and endless to-do lists? Fear not, knowledge warriors! The future is here, and it's packed with amazing AI tools ready to simplify your life and amplify your impact.
Imagine:
** Grading essays in a flash, with personalized feedback for each student.** ✍️✨
** Researching complex topics without drowning in a sea of articles.** ️♀️
** Creating engaging, interactive lessons that keep students glued to their screens.**
** Analyzing data like a pro, spotting trends and insights that would have taken days to find manually.**
** Collaborating with colleagues and experts from around the world, in real-time.**
This concise guide unlocks the door to 30 of the most powerful AI tools for educators, librarians, and researchers. We'll break down each tool, showing you how it can save you time, boost your productivity, and unlock new possibilities for learning and discovery.
Get ready to ditch the tedious tasks and focus on what you do best: inspiring and empowering the next generation!
Slides for keynote "Social Media and AI: Don’t forget the users" at WWW 2017 workshop "International Workshop on Modeling Social Media: Machine Learning and AI for Modeling and Analyzing Social Media". I am arguing that we need consider two things: the source of what we use to make good algorithms and whether users are impacted the way we want to impact them. The talk is based on two uses cases around providing diversity (something many of us believe is good) to users:
1. Engaging through diversity: serendipity (same algorithm, different sources)
2. Engaging through diversity: awareness (effective algorithm, perception)
My goal is to say, we may have the best AI, but we may get it wrong if we forget the users. I don't have answers, but it is important that we ask the right questions in today's world.
COMM 111. MannSpeech Outline Format PRE-PLANNINGTopic .docxmonicafrancis71118
COMM 111. Mann
Speech Outline Format
PRE-PLANNING
Topic: Determine.
Audience: Analyze. What do they already know of the topic? Would they be interested?
Purpose Statement: What do you intend to achieve with your speech?
Working Thesis: What is the main idea?
Organizing Question: What main ideas and info do you need to develop your topic?
Main Points: Do research and determine these BEFORE you write the intro & conclusion.
Title: Optional (Can give the speech focus and memorability)
INTRODUCTION (Type out word for word)
Capture Attention
Get the audience’s attention, orient them to the topic & motivate them to listen. (Techniques: ask questions, develop suspense/curiosity, stimulate imagination, amuse or use humor, promise a benefit, tell a relevant story, relate a personal experience, involve the audience, use a quote, use a visual or other media aid, etc.)
Significance/Relevance
Tell the audience why they should care about this topic. Tell them “what’s in it for them.” Tie it to their needs, interests or well-being.
Credibility
Establish yourself as a competent, trustworthy, likable and sincere person. Explain your qualifications (knowledge, interest/research or experience) for this topic.
Thesis (Underline or type in bold)
A clear, concise and creative sentence that explains the speech’s main idea.
Preview
Indicates the main points you will cover and gives an overview of the speech.
Transition (usually in italic)
Connecting words or phrases that serve as signposts that help your audience see the overall pattern of your speech.
BODY (Type in outline style) (usually 2-3 main points in a 5-7 minute speech)
Determine the speech design that best communicates your points (topical, chronological, spatial, causal, pro-con, mnemonic/gimmick).
I. Main Point
A. Subpoint/Support
Use a mix of supporting material (examples, definitions, narratives, comparison/contrast, facts/stats, testimony) Use the 4S – Signpost, State, Support, Summarize. ORALLY CITE YOUR SOURCES! (See pg. 141-144 )
a.
b.
Transition (usually in italic)
II. Main Point (repeat above)
Transition (usually in italic)
III. Main Point (repeat above)
Transition (usually in italic)
CONCLUSION (Type out word for word)
Summary Statement
Review the points and meaning of your speech, but don’t just restate the thesis.
Concluding Remarks
Leave the audience with final reflections that are memorable and that underscore the significance of the speech, and bring psychological/emotional closure. (Ideas: tie back to the intro., use a quote, ask a question, end with a story, involve the audience, tie back to a visual, link to a metaphor, etc.)
REFERENCES/WORKS CITED
Use different, credible, relevant sources and give complete citations on a separate page. Use APA or MLA style (refer to text if needed, pg 120-121).
(see back)
November 23, 2013
2
Applied Final Project – Part 1: Annotated Bibliography
BEHS 103: Technology in Contemporary Society
W.
* Differences between Websites and Web Applications
* Research Techniques for Knowing Your Users
* Task Analysis
* UI/UX Design Principles for Web Applications
For many AI applications, a prediction is not enough. End-users need to understand the “why” behind a prediction to make decisions and take next steps. Explainable AI techniques today can provide some insight into what your model has learned, but recent research highlights the need for interactivity with XAI tools. End-users need to interact and test “what if” scenarios in order to understand and build trust with an AI system. In this talk, I’ll discuss what human-factors research tells us about human decision making and how users build trust (or lose trust) in systems. I’ll also present interaction design techniques that can be applied to XAI services design.
Similar to Pundit. Pin the Web. iAnnotate2016 (20)
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
9. Persona
Investor or associate of a company or cooperative.
User needs
The company publishes a public annual report on the website.
Investors and associates want to have the possibility to comment,
discuss and ask questions about the reported data. They want their
opinion to be heard and possibly contribute to bring some improvements
for the years to come.
THE ANNUAL REPORT
Use cases
10. Persona
User interested in the quality of data in a digital archive.
User needs
The user browsing the archive might notice some inaccuracies in the data
and might want to suggest some improvements. This is even more
relevant if the user is specifically interested in the quality of data, like he
is a contributor to the digital archive or is the owner of the data.
The suggestion might be provided with an easy tool that allow the user to
select the wrong data and suggest the correction. Other users might
want to reply to that suggestions with comments or endorsements.
IMPROVING THE QUALITY
OF A DIGITAL ARCHIVE
Use cases
11. Persona
Scholar studying a correspondence of a particular author.
User needs
On each text of the corpus the scholar wants to state that certain parts
of text are talking about entities like persons, places, bibliographical
resources or other parts of text.
This action must be performed very quickly while reading and it must be
possible for other scholars to review and rate the work already done.
This enrichment could later be used to perform a more accurate search
among the whole corpus and visualise the relation between text,
persons and places.
STUDYING A
CORRESPONDENCE
Use cases