The document discusses several topics related to data quality including data currency, clinical coding nomenclature, data warehousing, OLAP and DSS applications, mnemonic techniques for memorization, and the role of information technology in shaping democracy. It provides examples from the author's professional experiences working with databases and analyzing data.
The document discusses several topics related to data quality including data currency, clinical coding nomenclature, data warehousing, OLAP and DSS applications, mnemonic techniques for memorization, and the role of information technology in shaping democracy. It provides examples from the author's professional experiences working with databases and analyzing data.
This document provides a summary of the footwear industry. It begins with an executive summary and introduction. Under demand analysis, it discusses analyzing the industry at the macro and micro level, including global demand trends, market segmentation, and geographical distribution. It also covers supply chain analysis, the role of BRIC countries as suppliers, main competitors, and how technology impacts the supply side. The document aims to identify key characteristics for success in the footwear industry through strategic industry frameworks.
Semantic Wide and Deep Learning for Detecting Crisis-Information Categories o...Gregoire Burel
When crises hit, many flog to social media to share or consume information related to the event. Social media posts during crises tend to provide valuable reports on affected people, donation offers, help requests, advice provision, etc. Automatically identifying the category of information (e.g., reports on affected individuals, donations and volunteers) contained in these posts is vital for their efficient handling and consumption by effected communities and concerned organisations. In this paper, we introduce Sem-CNN; a wide and deep Convolutional Neural Network (CNN) model designed for identifying the category of information contained in crisis-related social media content. Unlike previous models, which mainly rely on the lexical representations of words in the text, the proposed model integrates an additional layer of semantics that represents the named entities in the text, into a wide and deep CNN network. Results show that the Sem-CNN model consistently outperforms the baselines which consist of statistical and non-semantic deep learning models.
Paper access: http://oro.open.ac.uk/51726/
****************************************For Kim Woods Only**********************************************
Assignment 2: Responding to Technology Discussion
To those who transported goods with arms and legs, the wheel appeared to be high technology at one point in time. Today, technology is all around us—and we need to learn how to use the new technologies in ways that make our tasks easier. For this class, we will focus on digital information technologies we use for school and daily life.
Considering how different people use and respond to technology, answer the following questions:
Describe how you use information in your daily life. Specifically, how do you use technology in your communications, whether at work, home, or school?
How has the World Wide Web and accompanying technologies (cell phones, e-mail, social media, etc.) changed the way society works with, handles, and interprets information?
Does computer ownership affect your ability to communicate?
Consider the following when answering:
What is an operating system? What operating system is on your computer? (To answer this question, search for “operating systems” on the Internet. Based on the information that is displayed on the screen, identify which operating system is on your computer.)
What is RAM? How much RAM do you have on your computer? (To answer this question, search for “system properties” within your computer system; this will tell you how much RAM you have in your system.) Can you update your RAM on the computer you have? (To find out this information, you can do either of the following:
Visit the website of the company that made your computer and search for this information.
Call a local store that sells computers and tell the executives there that you want to upgrade your RAM and you want to know if it is possible with the computer system you have.)
What is software? What software packages do you have on your computer that will help you with college? (To find out about this, you can call a local store that sells computers and ask them to assist you in finding this answer. You can also look at the “Programs” or “All Programs” folder on your computer and list out the programs you have.)
You will need to do research outside of this course to justify, support, and expand on your response. Since we do not cover APA format until
Module 2
, you do not need to use any specific citation format, but you must identify where you found any information you use in your response. Use any format or style you wish for your citations.
Your initial response should be at least 150 words. Post two follow-ups by responding to other students. Each of your follow-up responses should be at least 50 words.
By
Saturday, June 11, 2016
, post your response to the appropriate
Discussion Area
.
***************************************************************************************************************
Assignment 3: Researching Scenarios
Throughout the course of your academic career, you will b.
Presented at #H2OWorld 2017 in Mountain View, CA.
Enjoy the video: https://youtu.be/TBJqgvXYhfo.
Learn more about H2O.ai: https://www.h2o.ai/.
Follow @h2oai: https://twitter.com/h2oai.
- - -
Abstract:
Machine learning is at the forefront of many recent advances in science and technology, enabled in part by the sophisticated models and algorithms that have been recently introduced. However, as a consequence of this complexity, machine learning essentially acts as a black-box as far as users are concerned, making it incredibly difficult to understand, predict, or "trust" their behavior. In this talk, I will describe our research on approaches that explain the predictions of ANY classifier in an interpretable and faithful manner.
Sameer's Bio:
Dr. Sameer Singh is an Assistant Professor of Computer Science at the University of California, Irvine. He is working on large-scale and interpretable machine learning applied to natural language processing. Sameer was a Postdoctoral Research Associate at the University of Washington and received his PhD from the University of Massachusetts, Amherst, during which he also worked at Microsoft Research, Google Research, and Yahoo! Labs on massive-scale machine learning. He was awarded the Adobe Research Data Science Faculty Award, was selected as a DARPA Riser, won the grand prize in the Yelp dataset challenge, and received the Yahoo! Key Scientific Challenges fellowship. Sameer has published extensively at top-tier machine learning and natural language processing conferences. (http://sameersingh.org)
1) The document discusses using machine learning methods like Naive Bayes classification to analyze sentiment in news data from social media sources like Twitter to enhance trading strategies.
2) It provides an example of parsing Twitter data related to the SPY ETF using NLTK and Naive Bayes, achieving 79.2% accuracy on the training set and 36.3% on the test set.
3) The document also outlines some more advanced approaches to measuring sentiment like Stanford NLP and Vader sentiment and discusses ongoing research into improving news sentiment analysis methods.
The document discusses several topics related to data quality including data currency, clinical coding nomenclature, data warehousing, OLAP and DSS applications, mnemonic techniques for memorization, and the role of information technology in shaping democracy. It provides examples from the author's professional experiences working with databases and analyzing data.
The document discusses several topics related to data quality including data currency, clinical coding nomenclature, data warehousing, OLAP and DSS applications, mnemonic techniques for memorization, and the role of information technology in shaping democracy. It provides examples from the author's professional experiences working with databases and analyzing data.
This document provides a summary of the footwear industry. It begins with an executive summary and introduction. Under demand analysis, it discusses analyzing the industry at the macro and micro level, including global demand trends, market segmentation, and geographical distribution. It also covers supply chain analysis, the role of BRIC countries as suppliers, main competitors, and how technology impacts the supply side. The document aims to identify key characteristics for success in the footwear industry through strategic industry frameworks.
Semantic Wide and Deep Learning for Detecting Crisis-Information Categories o...Gregoire Burel
When crises hit, many flog to social media to share or consume information related to the event. Social media posts during crises tend to provide valuable reports on affected people, donation offers, help requests, advice provision, etc. Automatically identifying the category of information (e.g., reports on affected individuals, donations and volunteers) contained in these posts is vital for their efficient handling and consumption by effected communities and concerned organisations. In this paper, we introduce Sem-CNN; a wide and deep Convolutional Neural Network (CNN) model designed for identifying the category of information contained in crisis-related social media content. Unlike previous models, which mainly rely on the lexical representations of words in the text, the proposed model integrates an additional layer of semantics that represents the named entities in the text, into a wide and deep CNN network. Results show that the Sem-CNN model consistently outperforms the baselines which consist of statistical and non-semantic deep learning models.
Paper access: http://oro.open.ac.uk/51726/
****************************************For Kim Woods Only**********************************************
Assignment 2: Responding to Technology Discussion
To those who transported goods with arms and legs, the wheel appeared to be high technology at one point in time. Today, technology is all around us—and we need to learn how to use the new technologies in ways that make our tasks easier. For this class, we will focus on digital information technologies we use for school and daily life.
Considering how different people use and respond to technology, answer the following questions:
Describe how you use information in your daily life. Specifically, how do you use technology in your communications, whether at work, home, or school?
How has the World Wide Web and accompanying technologies (cell phones, e-mail, social media, etc.) changed the way society works with, handles, and interprets information?
Does computer ownership affect your ability to communicate?
Consider the following when answering:
What is an operating system? What operating system is on your computer? (To answer this question, search for “operating systems” on the Internet. Based on the information that is displayed on the screen, identify which operating system is on your computer.)
What is RAM? How much RAM do you have on your computer? (To answer this question, search for “system properties” within your computer system; this will tell you how much RAM you have in your system.) Can you update your RAM on the computer you have? (To find out this information, you can do either of the following:
Visit the website of the company that made your computer and search for this information.
Call a local store that sells computers and tell the executives there that you want to upgrade your RAM and you want to know if it is possible with the computer system you have.)
What is software? What software packages do you have on your computer that will help you with college? (To find out about this, you can call a local store that sells computers and ask them to assist you in finding this answer. You can also look at the “Programs” or “All Programs” folder on your computer and list out the programs you have.)
You will need to do research outside of this course to justify, support, and expand on your response. Since we do not cover APA format until
Module 2
, you do not need to use any specific citation format, but you must identify where you found any information you use in your response. Use any format or style you wish for your citations.
Your initial response should be at least 150 words. Post two follow-ups by responding to other students. Each of your follow-up responses should be at least 50 words.
By
Saturday, June 11, 2016
, post your response to the appropriate
Discussion Area
.
***************************************************************************************************************
Assignment 3: Researching Scenarios
Throughout the course of your academic career, you will b.
Presented at #H2OWorld 2017 in Mountain View, CA.
Enjoy the video: https://youtu.be/TBJqgvXYhfo.
Learn more about H2O.ai: https://www.h2o.ai/.
Follow @h2oai: https://twitter.com/h2oai.
- - -
Abstract:
Machine learning is at the forefront of many recent advances in science and technology, enabled in part by the sophisticated models and algorithms that have been recently introduced. However, as a consequence of this complexity, machine learning essentially acts as a black-box as far as users are concerned, making it incredibly difficult to understand, predict, or "trust" their behavior. In this talk, I will describe our research on approaches that explain the predictions of ANY classifier in an interpretable and faithful manner.
Sameer's Bio:
Dr. Sameer Singh is an Assistant Professor of Computer Science at the University of California, Irvine. He is working on large-scale and interpretable machine learning applied to natural language processing. Sameer was a Postdoctoral Research Associate at the University of Washington and received his PhD from the University of Massachusetts, Amherst, during which he also worked at Microsoft Research, Google Research, and Yahoo! Labs on massive-scale machine learning. He was awarded the Adobe Research Data Science Faculty Award, was selected as a DARPA Riser, won the grand prize in the Yelp dataset challenge, and received the Yahoo! Key Scientific Challenges fellowship. Sameer has published extensively at top-tier machine learning and natural language processing conferences. (http://sameersingh.org)
1) The document discusses using machine learning methods like Naive Bayes classification to analyze sentiment in news data from social media sources like Twitter to enhance trading strategies.
2) It provides an example of parsing Twitter data related to the SPY ETF using NLTK and Naive Bayes, achieving 79.2% accuracy on the training set and 36.3% on the test set.
3) The document also outlines some more advanced approaches to measuring sentiment like Stanford NLP and Vader sentiment and discusses ongoing research into improving news sentiment analysis methods.
Welcome to the new age of platform technologies and smart services for every sector
The world's innovation landscape is changing
To compete in the marketplace and maintain relevancy, companies need to innovate constantly. But while there is a desire to more global, integrated and customer-centric innovates, actually getting new products and services to market are rare, and what we call frequent and radical innovations - new services and products that dramatically change the marketplace - is even rarer.
Mechele Gruhn, Microsoft
Are you perfect? We aren't. But we are trying to be better.
Please join us as we share the good, the bad, and the ugly stories of success and failure from the last crazy year, how we plan to improve in the next year, and how you can help.
This session will be targeted at BlueHat attendees both external and internal to Microsoft who interact with the Microsoft Security Response Center for resolution of vulnerabilities as part of coordinated vulnerability disclosure and will share lessons learned from the past as well as a look forward to the future.
The document outlines a 5-step process for requesting essay writing help from the website HelpWriting.net, including registering for an account, completing an order form with instructions and deadline, reviewing writer bids and choosing one, placing a deposit to start the assignment, and reviewing and authorizing payment for the completed paper if satisfied with the work. The process emphasizes providing necessary details to writers and allowing revisions to ensure customer satisfaction with the original, high-quality content provided.
Top Essay Writers - YouTube. Online assignment writing service.Cherie King
This document provides instructions for how to request and complete an assignment writing request through the website HelpWriting.net. It outlines a 5-step process: 1) Create an account with a password and email. 2) Complete a 10-minute order form providing instructions, sources, and deadline. 3) Review bids from writers and choose one based on qualifications. 4) Review the completed paper and authorize payment if satisfied. 5) Request revisions until fully satisfied, with the option of a full refund for plagiarized work.
The document discusses various standards and technologies used for clinical decision support systems, including the HL7 Infobutton standard. It provides examples of how infobuttons can be used to link different applications and share clinical context in real-time. It also discusses the use of standards like SNOMED CT and LOINC to create HL7 infobuttons and generate HTML messages from XML representations.
Blank Paper To Type On Blank Paper By MontroytanLisa Garcia
The document discusses the field of cosmology, which is the study of the universe from the largest galaxies down to the smallest atom, and how modern technology has allowed scientists to gain new insights into the structure and history of the universe with the goal of developing a unified theory. It provides context on the Copernican Revolution, Newton's Laws of Motion, and Einstein's theories of relativity as important milestones in the development of modern cosmological theories, and notes that today's advanced telescopes have enabled scientists to better understand the vast scale of the universe and how galaxies, stars, and planets form.
Electoral College Votes Explained What Are The Pros And ConsLori Mathers
The document provides instructions for requesting writing assistance from HelpWriting.net. It outlines a 5-step process: 1) Create an account with a password and email. 2) Complete an order form with instructions, sources, and deadline. 3) Review bids from writers and select one. 4) Review the completed paper and authorize payment. 5) Request revisions until satisfied. The service aims to provide original, high-quality content and offers refunds for plagiarized work.
The journal entries discuss Stephen Covey's concepts of the first two habits from his book The 7 Habits of Highly Effective People. Habit 1 is to be proactive, taking responsibility for one's own life and choices, rather than blaming external factors. Habit 2 is to begin with the end in mind, recognizing that goals and plans are important to achieve independence before meaningful interdependence with others can occur. The journal reflects on applying these habits by focusing on personal initiative and responsibility over circumstances outside one's control.
Affect- and Personality-based Recommender Systems Part I: Motivation, ModelsMarko Tkalčič
This document discusses the importance of incorporating psychological models of human decision-making, emotions, and personality into recommender systems. It provides an overview of several influential models of decision-making from psychology, including models that emphasize the role of emotions in decision-making and two-system models that distinguish between intuitive/emotional and rational decision processes. The document also discusses research showing relationships between personality traits, emotions, and preferences/choices regarding music, films and other media. However, current recommender systems mostly rely on shallow content-based features like genre, actors, and ratings rather than deeper psychological factors that influence human preferences and choices.
1) Time management is the process of planning and controlling how long tasks take to finish objectives effectively and efficiently.
2) Poor time management causes increased stress and negative personal and professional consequences.
3) Developing strong time management skills results in better quality work, less stress, and more efficient use of one's time.
Information Extraction, Named Entity Recognition, NER, text analytics, text mining, e-discovery, unstructured data, structured data, calendaring, standard evaluation per entity, standard evaluation per token, sequence classifier, sequence labeling, word shapes, semantic analysis in language technology
The human brain is the most powerful, complex, unique organ .... Teaching the Human Brain Research Paper Example | Topics and Well .... Brain Science - Your Brain on Story. Essay on the human brain.
The document discusses the challenges of writing a compelling travel essay, including narrowing the focus of the topic, finding the right balance of personal experiences and research, and carefully structuring the essay. It also notes that assistance from experienced writers is available to help navigate these challenges.
The document discusses the challenges of writing a compelling travel essay, including narrowing the focus of the topic, finding the right balance of personal experiences and research, and carefully structuring the essay. It also notes that assistance from experienced writers is available to help navigate these challenges.
Here are a few suggestions for addressing your perceived weaknesses as an ISTJ:
- Make a conscious effort to actively listen to others' perspectives without immediately judging them. Suspend assumptions and really try to understand other viewpoints.
- Express gratitude and affection to loved ones regularly through both words and actions. Small gestures can go a long way.
- Remain open-minded when presented with new ideas or information that contradicts your current understanding. Evaluate objectively rather than dismissing outright.
- Recognize that there are usually multiple factors at play in any situation, not just the factual details. Consider emotional/social elements as well as logic.
- Challenge yourself to step outside your comfort zone occasionally by trying
Sentiment Analysis - Reserve Bank Monetary Policy MeetingsJohann Krugell
On the 2nd of Jan 2019 Apple issued its first profit warning in 16 years. Under estimating the magnitude of the economic slow down in China was the reason for lower iphone sales and the subsequent profit warning.
In this analysis I text mine the minutes of the Reserve Bank of Australia's monetary meetings to see if there was a change in sentiment about international economic conditions before the announcement from Apple
29 Ways To Be Creative. Great Help And Advice For CJulia Solem
The document provides instructions for creating an account and submitting a paper writing request to the website HelpWriting.net. It outlines a 5-step process: 1) create an account; 2) complete an order form with instructions and deadline; 3) writers bid on the request and the client chooses one; 4) the client reviews the paper and pays upon approval; 5) the client can request revisions until satisfied.
29 Ways To Be Creative. Great Help And Advice For CAmanda Moore
The document discusses different forms of government and how they treat their citizens. It notes that authoritarian governments concentrate power with the leadership and prioritize security and order over individual freedoms, while democratic governments distribute power and prioritize individual rights and freedoms. The summary ends by saying democratic governments tend to better respect civil liberties but can be less efficient than authoritarian systems in times of crisis.
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/how-axelera-ai-uses-digital-compute-in-memory-to-deliver-fast-and-energy-efficient-computer-vision-a-presentation-from-axelera-ai/
Bram Verhoef, Head of Machine Learning at Axelera AI, presents the “How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-efficient Computer Vision” tutorial at the May 2024 Embedded Vision Summit.
As artificial intelligence inference transitions from cloud environments to edge locations, computer vision applications achieve heightened responsiveness, reliability and privacy. This migration, however, introduces the challenge of operating within the stringent confines of resource constraints typical at the edge, including small form factors, low energy budgets and diminished memory and computational capacities. Axelera AI addresses these challenges through an innovative approach of performing digital computations within memory itself. This technique facilitates the realization of high-performance, energy-efficient and cost-effective computer vision capabilities at the thin and thick edge, extending the frontier of what is achievable with current technologies.
In this presentation, Verhoef unveils his company’s pioneering chip technology and demonstrates its capacity to deliver exceptional frames-per-second performance across a range of standard computer vision networks typical of applications in security, surveillance and the industrial sector. This shows that advanced computer vision can be accessible and efficient, even at the very edge of our technological ecosystem.
Welcome to the new age of platform technologies and smart services for every sector
The world's innovation landscape is changing
To compete in the marketplace and maintain relevancy, companies need to innovate constantly. But while there is a desire to more global, integrated and customer-centric innovates, actually getting new products and services to market are rare, and what we call frequent and radical innovations - new services and products that dramatically change the marketplace - is even rarer.
Mechele Gruhn, Microsoft
Are you perfect? We aren't. But we are trying to be better.
Please join us as we share the good, the bad, and the ugly stories of success and failure from the last crazy year, how we plan to improve in the next year, and how you can help.
This session will be targeted at BlueHat attendees both external and internal to Microsoft who interact with the Microsoft Security Response Center for resolution of vulnerabilities as part of coordinated vulnerability disclosure and will share lessons learned from the past as well as a look forward to the future.
The document outlines a 5-step process for requesting essay writing help from the website HelpWriting.net, including registering for an account, completing an order form with instructions and deadline, reviewing writer bids and choosing one, placing a deposit to start the assignment, and reviewing and authorizing payment for the completed paper if satisfied with the work. The process emphasizes providing necessary details to writers and allowing revisions to ensure customer satisfaction with the original, high-quality content provided.
Top Essay Writers - YouTube. Online assignment writing service.Cherie King
This document provides instructions for how to request and complete an assignment writing request through the website HelpWriting.net. It outlines a 5-step process: 1) Create an account with a password and email. 2) Complete a 10-minute order form providing instructions, sources, and deadline. 3) Review bids from writers and choose one based on qualifications. 4) Review the completed paper and authorize payment if satisfied. 5) Request revisions until fully satisfied, with the option of a full refund for plagiarized work.
The document discusses various standards and technologies used for clinical decision support systems, including the HL7 Infobutton standard. It provides examples of how infobuttons can be used to link different applications and share clinical context in real-time. It also discusses the use of standards like SNOMED CT and LOINC to create HL7 infobuttons and generate HTML messages from XML representations.
Blank Paper To Type On Blank Paper By MontroytanLisa Garcia
The document discusses the field of cosmology, which is the study of the universe from the largest galaxies down to the smallest atom, and how modern technology has allowed scientists to gain new insights into the structure and history of the universe with the goal of developing a unified theory. It provides context on the Copernican Revolution, Newton's Laws of Motion, and Einstein's theories of relativity as important milestones in the development of modern cosmological theories, and notes that today's advanced telescopes have enabled scientists to better understand the vast scale of the universe and how galaxies, stars, and planets form.
Electoral College Votes Explained What Are The Pros And ConsLori Mathers
The document provides instructions for requesting writing assistance from HelpWriting.net. It outlines a 5-step process: 1) Create an account with a password and email. 2) Complete an order form with instructions, sources, and deadline. 3) Review bids from writers and select one. 4) Review the completed paper and authorize payment. 5) Request revisions until satisfied. The service aims to provide original, high-quality content and offers refunds for plagiarized work.
The journal entries discuss Stephen Covey's concepts of the first two habits from his book The 7 Habits of Highly Effective People. Habit 1 is to be proactive, taking responsibility for one's own life and choices, rather than blaming external factors. Habit 2 is to begin with the end in mind, recognizing that goals and plans are important to achieve independence before meaningful interdependence with others can occur. The journal reflects on applying these habits by focusing on personal initiative and responsibility over circumstances outside one's control.
Affect- and Personality-based Recommender Systems Part I: Motivation, ModelsMarko Tkalčič
This document discusses the importance of incorporating psychological models of human decision-making, emotions, and personality into recommender systems. It provides an overview of several influential models of decision-making from psychology, including models that emphasize the role of emotions in decision-making and two-system models that distinguish between intuitive/emotional and rational decision processes. The document also discusses research showing relationships between personality traits, emotions, and preferences/choices regarding music, films and other media. However, current recommender systems mostly rely on shallow content-based features like genre, actors, and ratings rather than deeper psychological factors that influence human preferences and choices.
1) Time management is the process of planning and controlling how long tasks take to finish objectives effectively and efficiently.
2) Poor time management causes increased stress and negative personal and professional consequences.
3) Developing strong time management skills results in better quality work, less stress, and more efficient use of one's time.
Information Extraction, Named Entity Recognition, NER, text analytics, text mining, e-discovery, unstructured data, structured data, calendaring, standard evaluation per entity, standard evaluation per token, sequence classifier, sequence labeling, word shapes, semantic analysis in language technology
The human brain is the most powerful, complex, unique organ .... Teaching the Human Brain Research Paper Example | Topics and Well .... Brain Science - Your Brain on Story. Essay on the human brain.
The document discusses the challenges of writing a compelling travel essay, including narrowing the focus of the topic, finding the right balance of personal experiences and research, and carefully structuring the essay. It also notes that assistance from experienced writers is available to help navigate these challenges.
The document discusses the challenges of writing a compelling travel essay, including narrowing the focus of the topic, finding the right balance of personal experiences and research, and carefully structuring the essay. It also notes that assistance from experienced writers is available to help navigate these challenges.
Here are a few suggestions for addressing your perceived weaknesses as an ISTJ:
- Make a conscious effort to actively listen to others' perspectives without immediately judging them. Suspend assumptions and really try to understand other viewpoints.
- Express gratitude and affection to loved ones regularly through both words and actions. Small gestures can go a long way.
- Remain open-minded when presented with new ideas or information that contradicts your current understanding. Evaluate objectively rather than dismissing outright.
- Recognize that there are usually multiple factors at play in any situation, not just the factual details. Consider emotional/social elements as well as logic.
- Challenge yourself to step outside your comfort zone occasionally by trying
Sentiment Analysis - Reserve Bank Monetary Policy MeetingsJohann Krugell
On the 2nd of Jan 2019 Apple issued its first profit warning in 16 years. Under estimating the magnitude of the economic slow down in China was the reason for lower iphone sales and the subsequent profit warning.
In this analysis I text mine the minutes of the Reserve Bank of Australia's monetary meetings to see if there was a change in sentiment about international economic conditions before the announcement from Apple
29 Ways To Be Creative. Great Help And Advice For CJulia Solem
The document provides instructions for creating an account and submitting a paper writing request to the website HelpWriting.net. It outlines a 5-step process: 1) create an account; 2) complete an order form with instructions and deadline; 3) writers bid on the request and the client chooses one; 4) the client reviews the paper and pays upon approval; 5) the client can request revisions until satisfied.
29 Ways To Be Creative. Great Help And Advice For CAmanda Moore
The document discusses different forms of government and how they treat their citizens. It notes that authoritarian governments concentrate power with the leadership and prioritize security and order over individual freedoms, while democratic governments distribute power and prioritize individual rights and freedoms. The summary ends by saying democratic governments tend to better respect civil liberties but can be less efficient than authoritarian systems in times of crisis.
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/how-axelera-ai-uses-digital-compute-in-memory-to-deliver-fast-and-energy-efficient-computer-vision-a-presentation-from-axelera-ai/
Bram Verhoef, Head of Machine Learning at Axelera AI, presents the “How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-efficient Computer Vision” tutorial at the May 2024 Embedded Vision Summit.
As artificial intelligence inference transitions from cloud environments to edge locations, computer vision applications achieve heightened responsiveness, reliability and privacy. This migration, however, introduces the challenge of operating within the stringent confines of resource constraints typical at the edge, including small form factors, low energy budgets and diminished memory and computational capacities. Axelera AI addresses these challenges through an innovative approach of performing digital computations within memory itself. This technique facilitates the realization of high-performance, energy-efficient and cost-effective computer vision capabilities at the thin and thick edge, extending the frontier of what is achievable with current technologies.
In this presentation, Verhoef unveils his company’s pioneering chip technology and demonstrates its capacity to deliver exceptional frames-per-second performance across a range of standard computer vision networks typical of applications in security, surveillance and the industrial sector. This shows that advanced computer vision can be accessible and efficient, even at the very edge of our technological ecosystem.
AppSec PNW: Android and iOS Application Security with MobSFAjin Abraham
Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
This talk covers:
Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
The Microsoft 365 Migration Tutorial For Beginner.pptxoperationspcvita
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Essentials of Automations: Exploring Attributes & Automation ParametersSafe Software
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyScyllaDB
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
4. Definitions
Natural Language Processing: The process of taking data
which is in text, and extract meaning from it.
Regina Barzilay, MIT
(https://soundcloud.com/user-684403695/data-science-demystified-ep-2-regina-barzilay)
Big Data: The three Vs:
1. Volume: n = N
2. Variety: Structured and Unstructured
3. Velocity: Real time and batch
Martin Hilber, University of California
5. A History of NLP in Analytics
1. Keyword Maps
2. Keyword Based NLP
3. Natural Language Classifying (NLC)
4. Machine Learning Based NLP
5. What’s Next?
6. A History of NLP in Analytics
1. Keyword Maps
2. Keyword Based NLP
3. Natural Language Classifying (NLC)
4. Machine Learning Based NLP
5. What’s Next?
7. Types of Tasks Performed
● Sentiment Analysis
● Emotion Analysis
● Topic Tagging
● Named Entity Extraction
● Machine Translation
● Answering Questions
● Natural Language Generation
● Natural Language Summarisation
8. Types of Tasks Performed
● Sentiment Analysis
● Emotion Analysis
● Topic Tagging
● Named Entity Extraction
● Machine Translation
● Question Answering
● Natural Language Generation
● Natural Language Summarisation
10. Locato
What is it?
In collaboration with Moreton Bay Regional Council (MBRC), Max Kelsen has developed Locato,
a real-time social media monitoring platform to extract data from social networks to assist in
disaster management during times of crisis.
11. Locato
What is it?
In collaboration with Moreton Bay Regional Council (MBRC), Max Kelsen has developed Locato,
a real-time social media monitoring platform to extract data from social networks to assist in
disaster management during times of crisis.
Challenges
With tens of thousands of tweets and posts relating to disaster events, how do you filter out the
noise and highlight actionable information?
12. Locato
What is it?
In collaboration with Moreton Bay Regional Council (MBRC), Max Kelsen has developed Locato,
a real-time social media monitoring platform to extract data from social networks to assist in
disaster management during times of crisis.
Challenges
With tens of thousands of tweets and posts relating to disaster events, how do you filter out the
noise and highlight actionable information?
Solution
Using IBM Watson’s NLC, we trained a model to classify tweets and posts into three overarching
themes: (1) Alerts (2) Platitudes and (3) Requests
13. Watson NLC
Solution
We trained IBM Watson’s Natural Language Classifier (NLC) to recognise and classify social
posts using real data from social media platforms during previous disaster events. Our training
sets used data from the New South Wales bushfires, Cyclone Yasi, the most recent Queensland
floods and the 2014 hostage crisis at the Lindt Café in Sydney.
The classifications:
● Alerts (posts sharing information related to the disaster event)
● Platitudes (posts expressing kindness, sympathy or other care), and
● Requests (posts asking for general information or assistance)
14.
15. Watson NLC
Challenges
● Irony or sarcasm is difficult to classify. Jokes and sarcasm often follow the same
linguistic patterns as regular posts, creating the potential for them to be identified
incorrectly.
● Platitudes are defined primarily by their emotionality. It is possible to express sadness
or comfort in a tweet, alongside a request for information, or an update about fire or flood
damage.
Outcomes
● We’re comfortable with the performance of the classifier and have moved it into
production.
18. Football Fans: A Case Study
● r/soccer - the footballing subreddit.
● Analysing over two million comments from the
2016-17 Season
● Seek to answer the following primary question:
“Which team attracts the most anger online?”
● What factors affect this anger?
○ Specific Incidents or Games
○ Time
○ Managers
○ Players
19. The Training Process
Entity Type
An entity type is how you categorize a real-world
thing. An entity mention is an example of a thing of
that type. For example, the mention "Luis Suarez"
can be annotated as a PERSON_FOOTBALLER
entity type.
Relation
A relation type defines a binary, ordered
relationship between two entities.
E.g. Luis Suarez is employed by FC Barcelona
Mention Type
Qualifies the mention by certain parts of speech
Name - Proper Nouns: Luis Suarez
Nominal - Common Nouns: Footballer
Pronominal - Pronouns: He
Coreference
A coreference chain links together all references
of the same object, place or person
E.g. Luis Suarez is a Footballer, he has been at
Barcelona for nearly 3 years
20. Example:
Football
Andre Marriner is a f***ing muppet
how has he given the red card to
Gibbs instead of
Oxlade-Chamberlain here, still
Arsenal are playing like s*** at the
moment and are now a man down.
If Chelsea score from this penalty
Arsenal are done.
27. Preventable? The last couple [of goals]
were straight up embarassing, what the
**** even was that.
Rarely do I give the slightest **** about
the reputation of ''English football'' but ****
me, that was tragic.
A lot of people blame Wenger for
Arsenal's woes but the performances
from the players are a ****ing disgrace.
"Shocking! Arsenal surprisingly
collapses and probably crashes out of
the title race, didn't see that coming."
- No one ever, 2017
This is the worst I've seen Arsenal
play since... last week. ****ing hell
that was horrible.
I don't want to hear one more ****ING word about how this team is
"mentally strong." They've just put up two of the most mentally
weak performances I've seen in a while.
That second half was just same old
Arsenal in a nutshell. They concede in
the first 5 minutes and then just play
shellshocked the rest of the game.
They lost every single ball and didn't put
City's defense under ANY pressure.
****ing disgusting this **** and I'm sick of
it.
[Arsenal] are a
steaming pile of horse
****, top to bottom.
Utterly embarassing
What a ****ing toothless, spineless
piece of **** performance.
28. Preventable? The last couple [of goals]
were straight up embarassing, what the
**** even was that.
Rarely do I give the slightest **** about
the reputation of ''English football'' but ****
me, that was tragic.
A lot of people blame Wenger for
Arsenal's woes but the performances
from the players are a ****ing disgrace.
"Shocking! Arsenal surprisingly
collapses and probably crashes out of
the title race, didn't see that coming."
- No one ever, 2017
This is the worst I've seen Arsenal
play since... last week. ****ing hell
that was horrible.
I don't want to hear one more ****ING word about how this team is
"mentally strong." They've just put up two of the most mentally
weak performances I've seen in a while.
That second half was just same old
Arsenal in a nutshell. They concede in
the first 5 minutes and then just play
shellshocked the rest of the game.
They lost every single ball and didn't put
City's defense under ANY pressure.
****ing disgusting this **** and I'm sick of
it.
[Arsenal] are a
steaming pile of horse
****, top to bottom.
Utterly embarassing
What a ****ing toothless, spineless
piece of **** performance.
31. The Old Paradigm
Large organisations spend millions of dollars collecting and analysing new
quantitative data, but often ignore the vast sources of data they already
have available.
80% of contact centres don’t believe their platforms are ready for the future.
32. The Answer is in Your Dark Data
Customers are already telling you about their experience; they call, email and
write to you. They’re talking on social media and in the comments on news sites.
The answer to improving the customer experience you provide is already in your
hands, it’s just a case of unlocking it.
34. Teaching a Machine to Understand
Your Language
Your department, like every business, has a language of its own. The
AI needs to understand this language so that it knows what to focus
on and how to interpret it.
IBM Watson and cognitiveCX makes this possible.
35. In traditional CX data systems, complex customer
interactions are often excessively oversimplified.
For many systems, an interaction like this would be
categorised as:
“negative customer experience, noise complaint”
36. cognitiveCX leverages the learning and
cognitive power of IBM Watson to
thoroughly analyse natural language.
This allows cognitiveCX to determine
emotion, sentiment and relationships
on an entity-by-entity basis.
37. Analysing and enriching data at this granular level allows for thorough,
detailed reporting and insights through cognitiveCX, so that you can
easily find the needles in your CX haystack.
These enrichments and data points allow cognitiveCX to clearly report
all of the facts at hand:
In this example, the customer had a negative, anger-provoking
experience relating to their core issue, but had a positive
experience with the customer support staff at the call center.
cognitiveCX provides you with a clearer and fuller picture of what your
existing customer data really means.
45. Case Study – Government
The Client
A Queensland based government body with an extensive range of services and
responsibilities, and a multi-billion dollar budget.
The Challenge
Our client wanted to harness the value within their unstructured, customer interaction data
to identify pain-points in the customer journey.
46. Case Study – Government
Some Stats:
● 25 individual unstructured data sets (including call logs, letters, social media posts
and comments, surveys and more!)
● 1.5 million unstructured data points per year
● 50 different service areas
● 4,000 customer touch points
● 1 AI model
47. Case Study – Solution
What we did
We used the cognitiveCX system, which involved the training and deployment of a
specialised machine learning model. The model was trained to identify and understand key
business units, stakeholders and issues, using the client’s existing data. In a short period,
we identified key customer pain-points through sentiment and emotional analysis.
48. Case Study – Insights
Insight #1
The client’s existing hypothesis was that they were receiving a high number of angry
complaints from cyclists about a lack of cycling infrastructure. They were surprised to find
that in many CX interactions, anger was actually being directed at cyclists by pedestrians
who had been involved in collisions on the footpath or who had become frustrated with the
behaviour of cyclists on shared pedestrian/cyclist paths.
49. Case Study – Challenging Assumptions
Insight #2
We found that there were two key personas when dealing with council: those who transacted
with government and those who acted as good samaritans. The AI identified that out of
these two groups those transacting were well-serviced most of the time, but for those acting
as good samaritans the same processes made the experience cumbersome and frustrating.
50. Case Study – Leveraging cognitiveCX Findings
Outcomes
Our client has created three specialised teams to engage with key problematic CX areas
that were identified with cognitiveCX.
Once these teams are fully implemented, cognitiveCX can monitor their ongoing
effectiveness in real-time.
51. How can cognitiveCX help you deliver
better services to your citizens?
● Monitor all of the interactions your department has with citizens in real-time
● Understand what makes your citizens happy, sad, or angry when they’re
dealing with your organisation
● Identify areas of product, process, or people that need attention
● Inform the design of new citizen experiences