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This was presented as a lightning talk at DevOpsDays Boston 2015. It is a short overview to introduce Software Supply Chain principles through the examination of Reference Architectures.
DeveloperWeek2018 - Let's Build a ChatbotTessa Mero
The document discusses building a chatbot using the Cisco Spark API and deploying it on Heroku. It provides steps to create a Cisco Spark account and developer app, deploy the botkit-template code to Heroku, and configure the bot by adding the Cisco Spark access token and creating a webhook to trigger the bot in response to messages. The goal is to demonstrate how to set up a basic functioning chatbot integrated with Cisco Spark and deployed on Heroku.
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The Bot Framework enables you to build bots that support different types of interactions with users. You can design conversations in your bot to be freeform. Your bot can also have more guided interactions where it provides the user choices or actions. The conversation can use simple text strings or more complex rich cards that contain text, images, and action buttons. And you can add natural language interactions, which let your users interact with your bots in a natural and expressive way.
Breizhcamp: Créer un bot, pas si simple. Faisons le point.Cisco DevNet
S’il est possible de créer un bot en quelques minutes, construire des assistants interactifs professionnels représente un réel challenge : assez vite, nous voilà confrontés à des patterns de développements avancés, des enjeux d’architecture propres aux API Web. Sans compter les compétences spécifiques au domaine des bots.
Au cours de cette session, nous présenterons le code de bots permettant de gérer des interactions Chat et Voix, et explorerons les défis rencontrés lors de la construction de ces bots : stockage des contextes, approches NLP, scopes OAuth, meta-données.
Nous présenterons ensuite les tendances actuelles en terme d’architecture : plateformes de bots, exécution de bots sous forme de micro-fonctions / serverless…
Depuis un an, j'interviens sur la mise en place de bots, et ai pu coder un framework de bots en nodejs, et tester quelques framewokrs de bots. Ce talk est un retour d'expérience.
Le support est en anglais et au format 4/3.
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Useful browser extensions list that make an seo’s easier in 2015Aarif Habeeb
Browser extension help you in many areas in seo You can install them with one or two mouse clicks and access them with ease to the right of your address bar.
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This was presented as a lightning talk at DevOpsDays Boston 2015. It is a short overview to introduce Software Supply Chain principles through the examination of Reference Architectures.
DeveloperWeek2018 - Let's Build a ChatbotTessa Mero
The document discusses building a chatbot using the Cisco Spark API and deploying it on Heroku. It provides steps to create a Cisco Spark account and developer app, deploy the botkit-template code to Heroku, and configure the bot by adding the Cisco Spark access token and creating a webhook to trigger the bot in response to messages. The goal is to demonstrate how to set up a basic functioning chatbot integrated with Cisco Spark and deployed on Heroku.
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Breizhcamp: Créer un bot, pas si simple. Faisons le point.Cisco DevNet
S’il est possible de créer un bot en quelques minutes, construire des assistants interactifs professionnels représente un réel challenge : assez vite, nous voilà confrontés à des patterns de développements avancés, des enjeux d’architecture propres aux API Web. Sans compter les compétences spécifiques au domaine des bots.
Au cours de cette session, nous présenterons le code de bots permettant de gérer des interactions Chat et Voix, et explorerons les défis rencontrés lors de la construction de ces bots : stockage des contextes, approches NLP, scopes OAuth, meta-données.
Nous présenterons ensuite les tendances actuelles en terme d’architecture : plateformes de bots, exécution de bots sous forme de micro-fonctions / serverless…
Depuis un an, j'interviens sur la mise en place de bots, et ai pu coder un framework de bots en nodejs, et tester quelques framewokrs de bots. Ce talk est un retour d'expérience.
Le support est en anglais et au format 4/3.
This document provides an overview of Microsoft's conversational computing platforms, including the Azure Bot Service and Bot Builder SDK. It describes how bots can be built and connected using these tools, and how cognitive services like LUIS and speech APIs can be integrated to add intelligence. The document also outlines the bot development lifecycle and provides information on new features for conversational AI like integrated language understanding and multi-lingual support.
If it takes minutes to code a bot, building professional bots represents quite a challenge. Soon you realize you need serious programming and API architecture experience but also “Bot” specific skills. In this session, we'll first show the basics to build a ChatBot. Then we'll explore the challenges faced when creating advanced Bots (Context storage, NLP approaches, Bot Metadata, OAuth scopes), and discuss interesting opportunities from latest industry trends (Bot platforms, Serverless, Microservices). This talk is about showing the code and sharing lessons learnt.
Here are the key steps to build a Splunk ITSI KPI to monitor for missing event formats:
1. Define the expected event formats in a lookup table with fields like Rule_ID, Event_Name, Raw_Filter, Punct.
2. Create a Base Search that looks up the Punct field against the lookup and filters for matching rules. This will return the expected event names.
3. Build a KPI on top of the Base Search to track the count of matching events over time. Set thresholds to alert if the count drops significantly.
4. Create an alert that triggers if the KPI value breaches the threshold. This will fire if an unexpected drop in events is detected.
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If it takes minutes to code a simple bot, building professional bots represents quite a challenge. Soon you realize you need serious programming and API architecture experience but also “Bot” specific skills. In this session, we'll first show the code of advanced Chat and Voice interactions, and then explore the challenges faced when building advanced Bots (Context storage, NLP approaches, Bot Metadata, OAuth scopes), and discuss interesting opportunities from latest industry trends (Bot platforms, Serverless, Microservices). This talk is about showing the code and sharing lessons learned.
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Whether you believe it’s the future or not, artificial intelligence is a hot topic today. Microsoft announced its long-term vision on AI, and Cognitive Services and the Bot Framework are part of this strategy.
In this session, I’ll build a pizza ordering bot with the Microsoft Bot Framework in 30 minutes, live on stage. No pressure, challenge accepted! We’ll see what makes a conversational bot a “great bot”, how to connect to channels for an improved conversation experience, meet existing bots and enable them to interpret and interact in a human way. And we’ll enhance the user experience with actions like greeting customers after they start chatting, or providing a personalised menu. Our aim is to get the bot deliver our favourite pizza by thinking that we are interacting with an actual human being. Pizza not included, sorry!
Towsif Zahin Khan is an undergraduate student at Independent University, Bangladesh studying computer science and minoring in marketing. He has won several programming contests and hackathons. His experience includes game development using engines like Construct 2 and RPG Maker. He has strong skills in languages like Java, C++, and C# as well as IDEs like NetBeans and Visual Studio. He has worked on projects involving game design, software for the election commission, and an online school system.
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More details: http://bit.do/qcon-cd-abstract
Google slides: http://bit.do/qcon-cd-gslides
Presentation abstract as in QCon session catalog:
LinkedIn and Mockito are two different use cases of implementing continuous delivery at scale. Yet the challenges, benefits and impact on the engineering culture are very similar.
In 2015, LinkedIn’s flagship application adopted a continuous delivery model we called 3x3: deploy to production 3 times a day, with a 3 hour maximum time from commit to production. At LinkedIn scale - hundreds of engineers building products for 500M users - implementing 3x3 was really hard. How did 3x3 change LinkedIn engineering culture and what we have learned on the way?
Mockito is a top 3 Java library with ~2M users. Even with that large user base, since 2014, the Mockito project has taken the surprising approach of publishing a new version of the library from every single pull request. This approach is challenging and innovative in the Java community, and Mockito leverages Shipkit to ship every change to production. Why did the Mockito team adopt continuous delivery in 2014 and what we have learned to date?
Join and learn from Szczepan Faber, the maker of Mockito framework since 2007, and the tech lead of LinkedIn Development Tools since 2015.
Codemotion Session - 2016 Milan.
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Bill Buxton is the author of, Sketching User Experiences: Getting the Design Right and the Right Design, published jointly by Morgan Kaufmann and Focal Press. He is Principal Researcher at Microsoft Research and has a 30 year involvement in research, design and commentary around human aspects of technology, and digital tools for creative endeavour, including music, film and industrial design, in particular. Prior to joining Microsoft, he was a researcher at Xerox PARC, a professor at the University of Toronto, and Chief Scientist of Alias Research and SGI Inc. – where 2003 he was co-recipient of an Academy Award for Scientific and Technical Achievement. In 2007, he was named Doctor of Design, Honoris Causa, by the Ontario College of Art and Design, in 2008 became the 10th recipient of the ACM/SIGCHI Lifetime Achievement Award for fundamental contributions to the field of human-computer interaction, and in January 2009 was elected a Fellow of the ACM. More information on Buxton and his work can be found at: www.billbuxton.com
Anuradha Dubey has over 6 years of experience leading iOS development teams and developing native iOS applications. She currently works as a module lead at Bluelupin Technologies, where she oversees a team of 2 iOS developers. In her career, she has successfully completed 25 iOS applications and has deep expertise in iOS SDK, Objective-C, Swift, and Xcode.
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By Silvia Malatini, Lorenz Cuno Klopfenstein, and Alessandro Bogliolo. Presented at CHITALY 2017, Cagliari (IT), 20/09/2017.
Larger smartphones have become increasingly commonplace, sometimes blurring the boundaries between phones and tablets.
Most UI guidelines and usability studies are rarely updated and are still based on smaller screens or one-handed operations, which can be tiresome on large devices that may require different, or even two-handed postures.
Past usability studies have successfully proposed crowd-sourced data collection systems, using mobile applications published on app stores.
This work aims to investigate how similar systems can benefit from gamification elements in order to accelerate data collection and to produce accurate results over relatively short periods.
An Android game is presented, which challenges users in short 30-second games, collecting performance of users operating the touchscreen using different device grips and postures. The preliminary analysis of the first 60.000 touch interactions is discussed and shown to be coherent with expected results.
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If it takes minutes to code a bot, building professional bots represents quite a challenge. Soon you realize you need serious programming and API architecture experience but also “Bot” specific skills. In this session, we'll first show the basics to build a ChatBot. Then we'll explore the challenges faced when creating advanced Bots (Context storage, NLP approaches, Bot Metadata, OAuth scopes), and discuss interesting opportunities from latest industry trends (Bot platforms, Serverless, Microservices). This talk is about showing the code and sharing lessons learnt.
Here are the key steps to build a Splunk ITSI KPI to monitor for missing event formats:
1. Define the expected event formats in a lookup table with fields like Rule_ID, Event_Name, Raw_Filter, Punct.
2. Create a Base Search that looks up the Punct field against the lookup and filters for matching rules. This will return the expected event names.
3. Build a KPI on top of the Base Search to track the count of matching events over time. Set thresholds to alert if the count drops significantly.
4. Create an alert that triggers if the KPI value breaches the threshold. This will fire if an unexpected drop in events is detected.
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If it takes minutes to code a simple bot, building professional bots represents quite a challenge. Soon you realize you need serious programming and API architecture experience but also “Bot” specific skills. In this session, we'll first show the code of advanced Chat and Voice interactions, and then explore the challenges faced when building advanced Bots (Context storage, NLP approaches, Bot Metadata, OAuth scopes), and discuss interesting opportunities from latest industry trends (Bot platforms, Serverless, Microservices). This talk is about showing the code and sharing lessons learned.
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If it takes minutes to code a simple bot, building professional bots represents quite a challenge. Soon you realize you need serious programming and API architecture experience but also “Bot” specific skills. In this session, we'll first show the code of advanced Chat and Voice interactions, and then explore the challenges faced when building advanced Bots (Context storage, NLP approaches, Bot Metadata, OAuth scopes), and discuss interesting opportunities from latest industry trends (Bot platforms, Serverless, Microservices). This talk is about showing the code and sharing lessons learnt.t
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This portfolio document summarizes Neo Ting-Fu Hsu's work experience developing mobile and web applications. It includes summaries of 14 Android and Blackberry apps, 2 Android SDKs, 3 HTML5 games, and 5 backend web projects. The apps and SDKs cover categories including sports, social media, e-readers, smart home devices, and more. The portfolio demonstrates experience building both native mobile apps and full stack web applications with technologies such as Android, Node.js, Express, MongoDB, and React.
Whether you believe it’s the future or not, artificial intelligence is a hot topic today. Microsoft announced its long-term vision on AI, and Cognitive Services and the Bot Framework are part of this strategy.
In this session, I’ll build a pizza ordering bot with the Microsoft Bot Framework in 30 minutes, live on stage. No pressure, challenge accepted! We’ll see what makes a conversational bot a “great bot”, how to connect to channels for an improved conversation experience, meet existing bots and enable them to interpret and interact in a human way. And we’ll enhance the user experience with actions like greeting customers after they start chatting, or providing a personalised menu. Our aim is to get the bot deliver our favourite pizza by thinking that we are interacting with an actual human being. Pizza not included, sorry!
Towsif Zahin Khan is an undergraduate student at Independent University, Bangladesh studying computer science and minoring in marketing. He has won several programming contests and hackathons. His experience includes game development using engines like Construct 2 and RPG Maker. He has strong skills in languages like Java, C++, and C# as well as IDEs like NetBeans and Visual Studio. He has worked on projects involving game design, software for the election commission, and an online school system.
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Learn how continuous deployment can improve your organization's productivity. Learn about challenges, differences and similarities of CD at LinkedIn (large scale enterprise) and Mockito (OSS software library with huge user base).
More details: http://bit.do/qcon-cd-abstract
Google slides: http://bit.do/qcon-cd-gslides
Presentation abstract as in QCon session catalog:
LinkedIn and Mockito are two different use cases of implementing continuous delivery at scale. Yet the challenges, benefits and impact on the engineering culture are very similar.
In 2015, LinkedIn’s flagship application adopted a continuous delivery model we called 3x3: deploy to production 3 times a day, with a 3 hour maximum time from commit to production. At LinkedIn scale - hundreds of engineers building products for 500M users - implementing 3x3 was really hard. How did 3x3 change LinkedIn engineering culture and what we have learned on the way?
Mockito is a top 3 Java library with ~2M users. Even with that large user base, since 2014, the Mockito project has taken the surprising approach of publishing a new version of the library from every single pull request. This approach is challenging and innovative in the Java community, and Mockito leverages Shipkit to ship every change to production. Why did the Mockito team adopt continuous delivery in 2014 and what we have learned to date?
Join and learn from Szczepan Faber, the maker of Mockito framework since 2007, and the tech lead of LinkedIn Development Tools since 2015.
Codemotion Session - 2016 Milan.
Session about the development of Chat Bot Application ( The Game Rock / Paper / Scissors ) powered by Machine Learning.
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Bill Buxton is the author of, Sketching User Experiences: Getting the Design Right and the Right Design, published jointly by Morgan Kaufmann and Focal Press. He is Principal Researcher at Microsoft Research and has a 30 year involvement in research, design and commentary around human aspects of technology, and digital tools for creative endeavour, including music, film and industrial design, in particular. Prior to joining Microsoft, he was a researcher at Xerox PARC, a professor at the University of Toronto, and Chief Scientist of Alias Research and SGI Inc. – where 2003 he was co-recipient of an Academy Award for Scientific and Technical Achievement. In 2007, he was named Doctor of Design, Honoris Causa, by the Ontario College of Art and Design, in 2008 became the 10th recipient of the ACM/SIGCHI Lifetime Achievement Award for fundamental contributions to the field of human-computer interaction, and in January 2009 was elected a Fellow of the ACM. More information on Buxton and his work can be found at: www.billbuxton.com
Bill Buxton is the author of, Sketching User Experiences: Getting the Design Right and the Right Design, published jointly by Morgan Kaufmann and Focal Press. He is Principal Researcher at Microsoft Research and has a 30 year involvement in research, design and commentary around human aspects of technology, and digital tools for creative endeavour, including music, film and industrial design, in particular. Prior to joining Microsoft, he was a researcher at Xerox PARC, a professor at the University of Toronto, and Chief Scientist of Alias Research and SGI Inc. – where 2003 he was co-recipient of an Academy Award for Scientific and Technical Achievement. In 2007, he was named Doctor of Design, Honoris Causa, by the Ontario College of Art and Design, in 2008 became the 10th recipient of the ACM/SIGCHI Lifetime Achievement Award for fundamental contributions to the field of human-computer interaction, and in January 2009 was elected a Fellow of the ACM. More information on Buxton and his work can be found at: www.billbuxton.com
Anuradha Dubey has over 6 years of experience leading iOS development teams and developing native iOS applications. She currently works as a module lead at Bluelupin Technologies, where she oversees a team of 2 iOS developers. In her career, she has successfully completed 25 iOS applications and has deep expertise in iOS SDK, Objective-C, Swift, and Xcode.
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Liberarsi dai framework con i Web Component.pptxMassimo Artizzu
In Italian
Presentazione sulle feature e l'utilizzo dei Web Component nell sviluppo di pagine e applicazioni web. Racconto delle ragioni storiche dell'avvento dei Web Component. Evidenziazione dei vantaggi e delle sfide poste, indicazione delle best practices, con particolare accento sulla possibilità di usare web component per facilitare la migrazione delle proprie applicazioni verso nuovi stack tecnologici.
Using Query Store in Azure PostgreSQL to Understand Query PerformanceGrant Fritchey
Microsoft has added an excellent new extension in PostgreSQL on their Azure Platform. This session, presented at Posette 2024, covers what Query Store is and the types of information you can get out of it.
WWDC 2024 Keynote Review: For CocoaCoders AustinPatrick Weigel
Overview of WWDC 2024 Keynote Address.
Covers: Apple Intelligence, iOS18, macOS Sequoia, iPadOS, watchOS, visionOS, and Apple TV+.
Understandable dialogue on Apple TV+
On-device app controlling AI.
Access to ChatGPT with a guest appearance by Chief Data Thief Sam Altman!
App Locking! iPhone Mirroring! And a Calculator!!
What to do when you have a perfect model for your software but you are constrained by an imperfect business model?
This talk explores the challenges of bringing modelling rigour to the business and strategy levels, and talking to your non-technical counterparts in the process.
The Quiz-Master Bot - a Persistent Augmented Quiz delivered through Online Messaging
1. The Quiz-Master Bot
A Persistent Augmented
Quiz delivered through
Online Messaging
Lorenz Cuno Klopfenstein, Alessandro Bogliolo
2. INTED 2017 — The Quiz-Master Bot: a Persistent Augmented Quiz delivered through Online Messaging 2/9
Conversational interfaces
3. INTED 2017 — The Quiz-Master Bot: a Persistent Augmented Quiz delivered through Online Messaging 3/9
Messaging platforms
Bot API support:
• Kik, 2014.
• Telegram, 2015.
• Skype &
Messenger, 2016.
4. INTED 2017 — The Quiz-Master Bot: a Persistent Augmented Quiz delivered through Online Messaging 4/9
Deep-linking
Special links (URLs) that embed a data payload that is
automatically delivered to the bot.
https://t.me/bot?start=<payload>
5. INTED 2017 — The Quiz-Master Bot: a Persistent Augmented Quiz delivered through Online Messaging 5/9
Deep-linking
6. INTED 2017 — The Quiz-Master Bot: a Persistent Augmented Quiz delivered through Online Messaging 6/9
Coding Quiz
7. INTED 2017 — The Quiz-Master Bot: a Persistent Augmented Quiz delivered through Online Messaging 7/9
Treasure hunt
8. INTED 2017 — The Quiz-Master Bot: a Persistent Augmented Quiz delivered through Online Messaging 8/9
Treasure hunt
9. INTED 2017 — The Quiz-Master Bot: a Persistent Augmented Quiz delivered through Online Messaging 9/9
Conclusion
Instant messaging platforms.
Simple and perfectly accessible technology.
Already present and available: used by
majority of students (and teachers).
Unrestricted: low-connectivity, low-cost, etc.
Requires no on-boarding/tutorials.