Data scientists should not be content creators. They lack domain knowledge and are no conversational designers. Empowering content creators has been instrumental to scale the N26 chatbot from 1 to 5 languages in less than 6 months. In this talk, Edouard will describe how N26 enables content creators to add, modify and test content autonomously when entering new markets/handling new languages. The session also presents N26's training and deployment pipelines as well as the approach to content management the team took to ensure consistency across markets and languages while allowing for flexibility when necessary.
WHAT YOU'LL LEARN
Structuring content for scalability and robustness
Empowering Content Creators to create custom actions without using Python
Training and deploying conversational models across multiple markets and languages.
Edouard Malet has been a Data Scientist at N26 for over two years. After working on a variety of projects, he has been the lead developer of N26's customer service Chatbot for the past year. This chatbot is now serving millions of customers in 5 languages across 22 countries.
Will is a Ph.D. Candidate at the University of Washington, where his research focuses on enhancing empathy in text-based telehealth delivery through advances in mental state inference and conversational AI. As a researcher, he has published on a range of topics at the intersection of consumer health informatics and artificial intelligence. In his most recent venture, Will is co-founder of COCO, a startup that supports the needs of family caregivers through a human-AI hybrid approach to telenursing and virtual therapy. Outside of these roles, he has helped non-profits and startups ranging from seed to late stage develop their conversational AI strategies and is a regular contributor to the Rasa Open Source community.
Presented by Will Kearns Co-Founder & CTO COCO, University of Washington at the 2021 Rasa Summit https://rasa.com/summit/
Using Rasa to Power an Immersive Multimedia Conversational Experience | Rasa ...Rasa Technologies
Human-to-human electronic communication has moved from text (email) to voice (VoIP) to augmented video (Zoom/Skype). Similarly, the medium for human-to-machine conversation has moved from text (chatbots) to voice, with voice-enabled chatbots in wide use today. The next step in this evolution is a video-enabled conversational experience. Each medium change brings its own technical challenges. Creating a good voice experience involves more than just hooking up a chatbot to a text-to-speech and speech-to-text service. Vocinity has developed a platform for voice-enabled chatbots that has been in production for almost 2 years. We're updating our platform to support a multimedia experience where the bot communicates via video, voice and text messages and images. Using Rasa to provide the conversational logic for the immersive multimedia bot enables us to meet the challenges in voice/video communication. Rasa’s power and flexibility enabled us to extend it to support voice and video.
Presented by CTO of Vocinity, Nathan Stratton at the 2021 Rasa Summit https://rasa.com/summit/
QA has always been under-rated and thus it is important to consider this equally important as the Dev. If we look at the Chatbot QA, it had been considered as a highly challenging work specially when you do not know where your bot may break while you sequentially will be only running your flow (stories). Most of the companies / tools only check the flow which are coded in a fixed format which often breaks while testing. There may be cases where bot are migrated to new version and it breaks. The presentation will discuss the possibilities to test the bots by helping folks to create their coverage matrix for your stories, efficiently looking at the logs and mine information and most importantly what to test and which components to test.
Presented by Director QA, DevOps & AIML at APTY.IO, Soumya Mukherjee at the 2021 Rasa Summit https://rasa.com/summit/
End-to-end dialogue systems, or a feature which wasn’t meant to happen | Rasa...Rasa Technologies
You know the feeling when you ask for something and you’re pretty sure “no” will be the answer, but you still do it, because why not try? Well… the story of end-to-end is exactly this! Before starting on it, we read several papers about the technology not being ready for end-to-end dialogues in production. So, when we started working on it as a research project, “negative results are also interesting results” was our mantra. Suddenly, the results started to look more and more promising. Then, we developed the end-to-end training further – so that one can combine the classic Rasa format with intents and actions with the new end-to-end and gradually get rid of intents they don’t need.
In short, I will tell you a story of how end-to-end grew from a little internship project into an experimental feature of Rasa (and spanned far beyond the internship).
Presented by Evgeniia Razumovskaia, PhD on Computation, Cognition and Language at University of Cambridge at the 2021 Rasa Summit https://rasa.com/summit/
Voice First: Ready Your Content to Serve 50% of Global Searches | Rasa Summit...Rasa Technologies
Future of Digital Experience would be driven by the intersection of Content & Context, where Context would take the lead. Search is changing, and so is the way consumers choose to engage with businesses locally or globally. There is a distinct move away from screens and keyboards, and into voice-based interactions. Voice search is becoming a fast-growing habit across consumer segments and fundamentally transforming how people and businesses transact on the internet. Consider this:
- In 2020, there will be 4.2 billion digital voice assistants being used in devices around the world. Forecasts suggest that by 2024, the number of digital voice assistants will reach 8.4 billion units – a number higher than the world’s population.
- Sales revenue from wearable devices is projected to grow from around 16 billion U.S. Dollars in 2016 to around 73 billion U.S. dollars by 2022.
- McDonalds is adding 1000 kiosks per quarter for self-ordering and checkout since 2018 and acquired Appente to boost voice tech on these devices.
In the talk which includes hands-on demo, we will talk about how the current CMS ecosystem is structured and how the new-age headless CMS is changing how we create content. We will also look at the Schema.org usefulness.
Here are some key takeaways:
- Why a voice content strategy is critical for enterprises
- How and Why to make your content future proof
- The differences between voice-based and web-based content, and how that affects the user experience
- The basics of optimizing your content for voice search
- Why bots should be your next strategic investment
Demos:
- A quick view of the schemas important for the VSO
- Example of sites ranking in the Voice
Presented by Director - Digital Experience at Srijan, Gaurav Mishra at the 2021 Rasa Summit.
The missing link: How AI can help create a safer society and better businesse...Rasa Technologies
According to Home Office data, the proportion of crimes solved by police in England and Wales has fallen to the lowest level recorded. Crime investigations are inherently expensive and each case takes a lot of man-hours and resource-poor cities are less able to reduce investigators' caseloads. With the growing amount of information held in siloed systems and people’s minds, it’s becoming increasingly difficult to grasp all the links and see the relations. Data is overwhelming. What if by using latest technology such as AI and NLP we could reduce time in solving crimes and the response times at the scene? What if more lives can be solved because AI can help automatically make a link between information faster than any human could do? What if that same technology could help us become more efficient and satisfied employees while decreasing costs for the companies? In this talk I would share the specific formula governments companies can adopt to successfully employ AI while keeping humans in the loop making them more efficient, productive and happy.
Presented by Managing Director of Untrite, Kamila Hankiewicz at the 2021 Rasa Summit https://rasa.com/summit/
Boss - Bringing More Diversity to Tech | Rasa SummitRasa Technologies
Presented by Bruna Nayara Moreira Lima, Chatbot Developer at PicPay at the 2021 Rasa Summit https://rasa.com/summit/
Not all beginner coders know what is a FOSS software nor understand how most FOSS communities work or interact. Onboarding newcomers is challenging to most communities. Underrepresented groups and non english speakers face additional difficulties to contribute to FOSS, such as language barrier and confidence gap. To overcome these barriers, BOSS (Big Open Source Sister) was created. The program has three major objectives: introduce newcomers to FOSS, to capacitate the under-represented in the coding community into technologies demanded by the software industry, and improve participants’ belief in their own competence. To do that, BOSS based their mentorship in chatbot development, using a Rasa boilerplate project, created by LAPPIS. This program won the Gnome Engagement Challenge second phase (5 finalists).
Will is a Ph.D. Candidate at the University of Washington, where his research focuses on enhancing empathy in text-based telehealth delivery through advances in mental state inference and conversational AI. As a researcher, he has published on a range of topics at the intersection of consumer health informatics and artificial intelligence. In his most recent venture, Will is co-founder of COCO, a startup that supports the needs of family caregivers through a human-AI hybrid approach to telenursing and virtual therapy. Outside of these roles, he has helped non-profits and startups ranging from seed to late stage develop their conversational AI strategies and is a regular contributor to the Rasa Open Source community.
Presented by Will Kearns Co-Founder & CTO COCO, University of Washington at the 2021 Rasa Summit https://rasa.com/summit/
Using Rasa to Power an Immersive Multimedia Conversational Experience | Rasa ...Rasa Technologies
Human-to-human electronic communication has moved from text (email) to voice (VoIP) to augmented video (Zoom/Skype). Similarly, the medium for human-to-machine conversation has moved from text (chatbots) to voice, with voice-enabled chatbots in wide use today. The next step in this evolution is a video-enabled conversational experience. Each medium change brings its own technical challenges. Creating a good voice experience involves more than just hooking up a chatbot to a text-to-speech and speech-to-text service. Vocinity has developed a platform for voice-enabled chatbots that has been in production for almost 2 years. We're updating our platform to support a multimedia experience where the bot communicates via video, voice and text messages and images. Using Rasa to provide the conversational logic for the immersive multimedia bot enables us to meet the challenges in voice/video communication. Rasa’s power and flexibility enabled us to extend it to support voice and video.
Presented by CTO of Vocinity, Nathan Stratton at the 2021 Rasa Summit https://rasa.com/summit/
QA has always been under-rated and thus it is important to consider this equally important as the Dev. If we look at the Chatbot QA, it had been considered as a highly challenging work specially when you do not know where your bot may break while you sequentially will be only running your flow (stories). Most of the companies / tools only check the flow which are coded in a fixed format which often breaks while testing. There may be cases where bot are migrated to new version and it breaks. The presentation will discuss the possibilities to test the bots by helping folks to create their coverage matrix for your stories, efficiently looking at the logs and mine information and most importantly what to test and which components to test.
Presented by Director QA, DevOps & AIML at APTY.IO, Soumya Mukherjee at the 2021 Rasa Summit https://rasa.com/summit/
End-to-end dialogue systems, or a feature which wasn’t meant to happen | Rasa...Rasa Technologies
You know the feeling when you ask for something and you’re pretty sure “no” will be the answer, but you still do it, because why not try? Well… the story of end-to-end is exactly this! Before starting on it, we read several papers about the technology not being ready for end-to-end dialogues in production. So, when we started working on it as a research project, “negative results are also interesting results” was our mantra. Suddenly, the results started to look more and more promising. Then, we developed the end-to-end training further – so that one can combine the classic Rasa format with intents and actions with the new end-to-end and gradually get rid of intents they don’t need.
In short, I will tell you a story of how end-to-end grew from a little internship project into an experimental feature of Rasa (and spanned far beyond the internship).
Presented by Evgeniia Razumovskaia, PhD on Computation, Cognition and Language at University of Cambridge at the 2021 Rasa Summit https://rasa.com/summit/
Voice First: Ready Your Content to Serve 50% of Global Searches | Rasa Summit...Rasa Technologies
Future of Digital Experience would be driven by the intersection of Content & Context, where Context would take the lead. Search is changing, and so is the way consumers choose to engage with businesses locally or globally. There is a distinct move away from screens and keyboards, and into voice-based interactions. Voice search is becoming a fast-growing habit across consumer segments and fundamentally transforming how people and businesses transact on the internet. Consider this:
- In 2020, there will be 4.2 billion digital voice assistants being used in devices around the world. Forecasts suggest that by 2024, the number of digital voice assistants will reach 8.4 billion units – a number higher than the world’s population.
- Sales revenue from wearable devices is projected to grow from around 16 billion U.S. Dollars in 2016 to around 73 billion U.S. dollars by 2022.
- McDonalds is adding 1000 kiosks per quarter for self-ordering and checkout since 2018 and acquired Appente to boost voice tech on these devices.
In the talk which includes hands-on demo, we will talk about how the current CMS ecosystem is structured and how the new-age headless CMS is changing how we create content. We will also look at the Schema.org usefulness.
Here are some key takeaways:
- Why a voice content strategy is critical for enterprises
- How and Why to make your content future proof
- The differences between voice-based and web-based content, and how that affects the user experience
- The basics of optimizing your content for voice search
- Why bots should be your next strategic investment
Demos:
- A quick view of the schemas important for the VSO
- Example of sites ranking in the Voice
Presented by Director - Digital Experience at Srijan, Gaurav Mishra at the 2021 Rasa Summit.
The missing link: How AI can help create a safer society and better businesse...Rasa Technologies
According to Home Office data, the proportion of crimes solved by police in England and Wales has fallen to the lowest level recorded. Crime investigations are inherently expensive and each case takes a lot of man-hours and resource-poor cities are less able to reduce investigators' caseloads. With the growing amount of information held in siloed systems and people’s minds, it’s becoming increasingly difficult to grasp all the links and see the relations. Data is overwhelming. What if by using latest technology such as AI and NLP we could reduce time in solving crimes and the response times at the scene? What if more lives can be solved because AI can help automatically make a link between information faster than any human could do? What if that same technology could help us become more efficient and satisfied employees while decreasing costs for the companies? In this talk I would share the specific formula governments companies can adopt to successfully employ AI while keeping humans in the loop making them more efficient, productive and happy.
Presented by Managing Director of Untrite, Kamila Hankiewicz at the 2021 Rasa Summit https://rasa.com/summit/
Boss - Bringing More Diversity to Tech | Rasa SummitRasa Technologies
Presented by Bruna Nayara Moreira Lima, Chatbot Developer at PicPay at the 2021 Rasa Summit https://rasa.com/summit/
Not all beginner coders know what is a FOSS software nor understand how most FOSS communities work or interact. Onboarding newcomers is challenging to most communities. Underrepresented groups and non english speakers face additional difficulties to contribute to FOSS, such as language barrier and confidence gap. To overcome these barriers, BOSS (Big Open Source Sister) was created. The program has three major objectives: introduce newcomers to FOSS, to capacitate the under-represented in the coding community into technologies demanded by the software industry, and improve participants’ belief in their own competence. To do that, BOSS based their mentorship in chatbot development, using a Rasa boilerplate project, created by LAPPIS. This program won the Gnome Engagement Challenge second phase (5 finalists).
Ethnobots: Reimagining Chatbots as Ethnographic Research Tools | Rasa Summit ...Rasa Technologies
Presented by inChat Co-Founder & Design Anthropologist, Hector Fried and inChat Co-Founder & Technology Developer Rory Gianni at the 2021 Rasa Summit. Watch the talk recording on our summit site: https://rasa.com/summit/
Presented by Rasa Director of Engineering Tom Boklisch at the 2021 Rasa Summit. Tom shared what's new and what's next for Rasa Open Source. Link to talk recording on YouTube: https://youtu.be/fmDZT1iFX08
Building an AI Assistant Factory - Rasa Summit 2021Rasa Technologies
Presented by Dominique Boucher Chief Solutions Architect – AI Factory, National Bank of Canada and Eric Charton Senior AI Director AI, National Bank of Canada at the 2021 Rasa Summit. Check out the talk recording on YouTube https://youtu.be/EzTfSDDE8u0
Building an End-to-End Test Automation Pipeline for Conversational AI | Rasa ...Rasa Technologies
Presented by Botium GmbH Co-founder and CEO Christoph Börner at the 2021 Rasa Summit. Check out the talk recording on YouTube: https://youtu.be/YfOxeoFRMmM
Research Updates from Rasa: Transformers in NLU and DialogueRasa Technologies
Alan Nichol, co-founder & CTO of Rasa talks about the role that transformer-based architectures play in the state-of-the-art models for dialogue and language understanding. Alan covers the dialogue transformer (aka the TED policy) as well as a new state-of-the-art lightweight, multitask transformer architecture for NLU: Dual Intent and Entity Transformer (DIET) designed by the Rasa research team.
Webinar: How to Use Integrated Version Control in Rasa XRasa Technologies
Integrated Version Control allows teams to track updates to training data and enables developers to incorporate Rasa X into automated deployment workflows. During the webinar, we walk through the process of setting up Integrated Version Control and share best practices for building AI assistants, with an emphasis on continuous iteration and automated testing.
We’ll cover:
- How Rasa X helps product teams turn conversations into training data
- Why you should incorporate testing, version control, and CI/CD into your development process— and how to do it with Rasa X
- How to set up Integrated Version Control and push changes to production
Rasa Developer Summit - Bing Liu - Interactive Learning of Task-Oriented Dial...Rasa Technologies
Task-oriented spoken dialog system is a prominent component in today’s virtual personal assistant (e.g. Alexa, Siri), which enables people to perform everyday tasks by interacting with devices via voice interfaces. Recent advances in deep learning enabled new research directions for end-to-end dialog modeling. Such data-driven end-to-end learning systems address many limitations of conventional dialog systems. This talk will review the research work on deep learning and reinforcement learning for neural dialog systems. We will further discuss hybrid dialog learning frameworks that combine offline training and online interactive learning with human-in-the-loop. This talk will conclude with the challenges and directions in further advancing data-drive conversational AI systems. Bing Liu is a research scientist in Facebook working on conversational AI. His research interests focus on machine learning for spoken language processing, natural language understanding, and dialog systems. He develops conversational AI system that learns from both offline annotated samples and online interactions. Bing received his Ph.D. degree from Carnegie Mellon University in 2018 where he worked on deep learning and reinforcement learning for task-oriented dialog systems. Before joining Facebook, he interned at Google Research working on end-to-end learning of neural dialog systems.
Rasa Developer Summit - Josh Converse, Dynamic Offset - Three Part Harmony: H...Rasa Technologies
It has been said of the Beatles that the whole (the band) is greater than the sum of the parts (the band members). The same can hold true for open source software. This talk explores combining disparate open source technologies, backed by a Rasa "brain", to yield amazing results, explored through building a phone-based voice receptionist.
WHAT YOU'LL LEARN
The open source ecosystem represents a suite of great standalone technologies. Combining them in a product can yield even more amazing results
Rasa provides the much-needed flexibility for your system to react and adapt to the real world.
Leveraging open source (Rasa included) allows you to spend more time on the most interesting parts of your product.
Josh Converse is the founder of Dynamic Offset, a boutique consulting firm specializing in mobile, web, and conversational experiences. Prior to consulting he held tech lead roles at both Google and Apple.
Rasa Developer Summit - Praneeth Gubbala, NLP Engineer, Sam's Club at Walmart...Rasa Technologies
Sam's Club at Walmart is helping works and customers through voice and text-based assistants. Find out what Walmart engineers are doing with technical working details, details of advantages of Rasa plus custom improvements made to Rasa, along with challenges faces in text classificiation and entity extraction issues.
WHAT YOU'LL LEARN
The Conversational AI helping to solve in the area of the retail facility workers
Overview of the voice-based personal assistants with in-depth technical working details
Advantages of using Rasa along with the various number of improvements made on Rasa to customize based on the need
The Challenges resolved in the Text classification and entity extraction issues while implementing various entities.
Praneeth Gubbala works as an NLP Engineer at Sam's Club Technology (Walmart) developing chatbots and digital assistants that power one of the largest companies in the world. Praneeth previously worked with the Samsung Bixby NLU team for three years in the conversational AI field.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Ethnobots: Reimagining Chatbots as Ethnographic Research Tools | Rasa Summit ...Rasa Technologies
Presented by inChat Co-Founder & Design Anthropologist, Hector Fried and inChat Co-Founder & Technology Developer Rory Gianni at the 2021 Rasa Summit. Watch the talk recording on our summit site: https://rasa.com/summit/
Presented by Rasa Director of Engineering Tom Boklisch at the 2021 Rasa Summit. Tom shared what's new and what's next for Rasa Open Source. Link to talk recording on YouTube: https://youtu.be/fmDZT1iFX08
Building an AI Assistant Factory - Rasa Summit 2021Rasa Technologies
Presented by Dominique Boucher Chief Solutions Architect – AI Factory, National Bank of Canada and Eric Charton Senior AI Director AI, National Bank of Canada at the 2021 Rasa Summit. Check out the talk recording on YouTube https://youtu.be/EzTfSDDE8u0
Building an End-to-End Test Automation Pipeline for Conversational AI | Rasa ...Rasa Technologies
Presented by Botium GmbH Co-founder and CEO Christoph Börner at the 2021 Rasa Summit. Check out the talk recording on YouTube: https://youtu.be/YfOxeoFRMmM
Research Updates from Rasa: Transformers in NLU and DialogueRasa Technologies
Alan Nichol, co-founder & CTO of Rasa talks about the role that transformer-based architectures play in the state-of-the-art models for dialogue and language understanding. Alan covers the dialogue transformer (aka the TED policy) as well as a new state-of-the-art lightweight, multitask transformer architecture for NLU: Dual Intent and Entity Transformer (DIET) designed by the Rasa research team.
Webinar: How to Use Integrated Version Control in Rasa XRasa Technologies
Integrated Version Control allows teams to track updates to training data and enables developers to incorporate Rasa X into automated deployment workflows. During the webinar, we walk through the process of setting up Integrated Version Control and share best practices for building AI assistants, with an emphasis on continuous iteration and automated testing.
We’ll cover:
- How Rasa X helps product teams turn conversations into training data
- Why you should incorporate testing, version control, and CI/CD into your development process— and how to do it with Rasa X
- How to set up Integrated Version Control and push changes to production
Rasa Developer Summit - Bing Liu - Interactive Learning of Task-Oriented Dial...Rasa Technologies
Task-oriented spoken dialog system is a prominent component in today’s virtual personal assistant (e.g. Alexa, Siri), which enables people to perform everyday tasks by interacting with devices via voice interfaces. Recent advances in deep learning enabled new research directions for end-to-end dialog modeling. Such data-driven end-to-end learning systems address many limitations of conventional dialog systems. This talk will review the research work on deep learning and reinforcement learning for neural dialog systems. We will further discuss hybrid dialog learning frameworks that combine offline training and online interactive learning with human-in-the-loop. This talk will conclude with the challenges and directions in further advancing data-drive conversational AI systems. Bing Liu is a research scientist in Facebook working on conversational AI. His research interests focus on machine learning for spoken language processing, natural language understanding, and dialog systems. He develops conversational AI system that learns from both offline annotated samples and online interactions. Bing received his Ph.D. degree from Carnegie Mellon University in 2018 where he worked on deep learning and reinforcement learning for task-oriented dialog systems. Before joining Facebook, he interned at Google Research working on end-to-end learning of neural dialog systems.
Rasa Developer Summit - Josh Converse, Dynamic Offset - Three Part Harmony: H...Rasa Technologies
It has been said of the Beatles that the whole (the band) is greater than the sum of the parts (the band members). The same can hold true for open source software. This talk explores combining disparate open source technologies, backed by a Rasa "brain", to yield amazing results, explored through building a phone-based voice receptionist.
WHAT YOU'LL LEARN
The open source ecosystem represents a suite of great standalone technologies. Combining them in a product can yield even more amazing results
Rasa provides the much-needed flexibility for your system to react and adapt to the real world.
Leveraging open source (Rasa included) allows you to spend more time on the most interesting parts of your product.
Josh Converse is the founder of Dynamic Offset, a boutique consulting firm specializing in mobile, web, and conversational experiences. Prior to consulting he held tech lead roles at both Google and Apple.
Rasa Developer Summit - Praneeth Gubbala, NLP Engineer, Sam's Club at Walmart...Rasa Technologies
Sam's Club at Walmart is helping works and customers through voice and text-based assistants. Find out what Walmart engineers are doing with technical working details, details of advantages of Rasa plus custom improvements made to Rasa, along with challenges faces in text classificiation and entity extraction issues.
WHAT YOU'LL LEARN
The Conversational AI helping to solve in the area of the retail facility workers
Overview of the voice-based personal assistants with in-depth technical working details
Advantages of using Rasa along with the various number of improvements made on Rasa to customize based on the need
The Challenges resolved in the Text classification and entity extraction issues while implementing various entities.
Praneeth Gubbala works as an NLP Engineer at Sam's Club Technology (Walmart) developing chatbots and digital assistants that power one of the largest companies in the world. Praneeth previously worked with the Samsung Bixby NLU team for three years in the conversational AI field.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
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.
UiPath New York Community Day in-person eventDianaGray10
UiPath Community Day is a unique gathering designed to foster collaboration, learning, and networking with automation enthusiasts. Whether you're an automation developer, business analyst, IT professional, solution architect, CoE lead, practitioner or a student/educator excited about the prospects of artificial intelligence and automation technologies in the United States, then the UiPath Community Day is definitely the place you want to be.
Join UiPath leaders, experts from the industry, and the amazing community members and let's connect over expert sessions, demos and use cases around AI in automation as we highlight our technology with a special speaker on Document Understanding.
📌Agenda
3:00 PM Registrations
3:30 PM Welcome note and Introductions | Corina Gheonea (Senior Director of Global UiPath Community)
4:00 PM Introduction to Document Understanding
How to build and deploy Document Understanding process
Where would Document Understanding be used.
Demo
Q&A
4:45 PM Customer/Partner showcase
Accelirate
Intro to Accelirate and history with UiPath
Why are we excited about the new AI features of UiPath?
Customer highlight
a. Document Understanding – BJs Case Study
b. Document Understanding + generative AI
5.30 PM Networking
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo DiehlPeter Udo Diehl
I'm excited to share my latest predictions on how AI, robotics, and other technological advancements will reshape industries in the coming years. The slides explore the exponential growth of computational power, the future of AI and robotics, and their profound impact on various sectors.
Why this matters:
The success of new products and investments hinges on precise timing and foresight into emerging categories. This deck equips founders, VCs, and industry leaders with insights to align future products with upcoming tech developments. These insights enhance the ability to forecast industry trends, improve market timing, and predict competitor actions.
Highlights:
▪ Exponential Growth in Compute: How $1000 will soon buy the computational power of a human brain
▪ Scaling of AI Models: The journey towards beyond human-scale models and intelligent edge computing
▪ Transformative Technologies: From advanced robotics and brain interfaces to automated healthcare and beyond
▪ Future of Work: How automation will redefine jobs and economic structures by 2040
With so many predictions presented here, some will inevitably be wrong or mistimed, especially with potential external disruptions. For instance, a conflict in Taiwan could severely impact global semiconductor production, affecting compute costs and related advancements. Nonetheless, these slides are intended to guide intuition on future technological trends.
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™UiPathCommunity
In questo evento online gratuito, organizzato dalla Community Italiana di UiPath, potrai esplorare le nuove funzionalità di Autopilot, il tool che integra l'Intelligenza Artificiale nei processi di sviluppo e utilizzo delle Automazioni.
📕 Vedremo insieme alcuni esempi dell'utilizzo di Autopilot in diversi tool della Suite UiPath:
Autopilot per Studio Web
Autopilot per Studio
Autopilot per Apps
Clipboard AI
GenAI applicata alla Document Understanding
👨🏫👨💻 Speakers:
Stefano Negro, UiPath MVPx3, RPA Tech Lead @ BSP Consultant
Flavio Martinelli, UiPath MVP 2023, Technical Account Manager @UiPath
Andrei Tasca, RPA Solutions Team Lead @NTT Data
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
5. How do we respond to a growing customer base?
Why a
chatbot?
4
6. Oct 2014 Dec 2015 Mar 2016 Jan 2017 Sep 2017 Mar 2018 June 2018 Oct 2018 Jan 2019Jan 2019
5
75 000
125 000
250 000
500.000
850.000
1 Million
1,5 Million
2 Million
2.5 Million
3 Million
3,5 Million
Mar 2019 Jun 2019
3.5 Million
Users
June 2019
5
7. How do we respond to a growing customer base?
Scale Customer Service in line with growth
Why a
chatbot?
6
How do we let people ask us questions?
9. How do we respond to a growing customer base?
Scale Customer Service in line with growth
Why a
chatbot?
8
How do we let people ask us questions?
Natural Language Querying
How do we support people around the clock?
10. How do we respond to a growing customer base?
Scale Customer Service in line with growth
Why a
chatbot?
9
How do we let people ask us questions?
Natural Language Querying
How do we support people around the clock?
24/7 support
11. How do we respond to a growing customer base?
Scale Customer Service in line with growth
Why a
chatbot? How do we support people around the clock?
24/7 support
How do we let people ask us questions?
Natural Language Querying
10
How do we solve problems in one contact?
13. How do we respond to a growing customer base?
Scale Customer Service in line with growth
Why a
chatbot? How do we support people around the clock?
24/7 support
How do we let people ask us questions?
Natural Language Querying
12
How do we solve problems in one contact?
Rule-based routing
17. 16
## intent:want_statement
- hi there, I would like to receive my [balance statement](statement_type)
- can you say where I can find the annual statement for 2018
18. Core
Training data
format part I:
Stories
17
## want_statement basic
* greet
- action_welcome
* want_statement{"statement_type": "balance statement"}
- utter_ack
- utter_want_statetement_balance_statement_1
- utter_want_statetement_balance_statement_2
- utter_want_statetement_balance_statement_3
- utter_want_statetement_balance_statement_4
20. slots:
statement_type:
type: unfeaturized
entities:
- statement_type
intents:
- greet
- want_statement
actions:
- action_welcome
- utter_want_statement_balance_statement_1
- utter_want_statement_balance_statement_2
- utter_want_statement_balance_statement_3
- utter_want_statement_balance_statement_4
templates:
utter_want_statement_balance_statement_1:
- text: "You can find your {{balance statements}} in both the web app
and the mobile app."
link_id: STATEMENTS_001
Core
Training data
format part II:
Domain
19
21. 20
slots:
statement_type:
type: unfeaturized
entities:
- statement_type
intents:
- greet
- want_statement
actions:
- action_welcome
- utter_want_statement_balance_statement_1
- utter_want_statement_balance_statement_2
- utter_want_statement_balance_statement_3
- utter_want_statement_balance_statement_4
templates:
utter_want_statement_balance_statement_1:
- text: "You can find your {{balance statements}} in both the web app
and the mobile app."
link_id: STATEMENTS_001
22. Challenges Writing custom actions
How do we allow content creators to create actions
without coding?
Serving multiple markets
How do we ensure consistency across markets?
Serving multilingual content
How do we serve the content in 5 languages?
21
Deploy to different markets
How to make it easy to launch to new markets?
29. 28
## intent:want_statement
- hi there, I would like to receive my [balance statement](statement_type)
- can you say where I can find the annual statement for 2018
31. 30
- id: Q1413339
slot_name: statement_type
description: No description defined
en:
label: balance statement
synonyms:
- balance statements
- transfer statement
fr:
label: relevé de compte
synonyms:
- relevés
- releves
- relevés de compte
- extrait de compte
35. Challenges
Serving multiple markets
How do we ensure consistency across markets?
Serving multilingual content
How do we serve the content in 5 languages?
34
38. Challenges Writing custom actions
How do we allow content creators to create actions
without coding?
Serving multiple markets
How do we ensure consistency across markets?
Serving multilingual content
How do we serve the content in 5 languages?
37
39. PROBLEM
Actions are
Python code
38
"""Helper module for the action.py module."""
from rasa_core_sdk import Action
import requests
from utils.sender_id_converter import sender_id_to_dict
from utils.setup import setup_config
def live_agent_availability(sender_id):
"""Call the endpoint to know about agent availability."""
try:
user_id = sender_id_to_dict(sender_id)["user_id"]
headers = {"x-n26-userid": user_id}
r = requests.get(
setup_config.agent_availability_endpoint, headers=headers, timeout=1
)
if r.status_code == 200:
return r.json()["liveagent"]["status"] == "AVAILABLE"
else:
return False
except requests.exceptions.RequestException:
return False
class ActionWelcome(Action):
"""Welcomes a user depending on agent's availability."""
def name(self):
"""Name."""
return "action_welcome"
def run(self, dispatcher, tracker, domain):
"""Run."""
live_agent_available = live_agent_availability(tracker.sender_id)
if live_agent_available:
dispatcher.utter_template("utter_welcome_1", tracker)
dispatcher.utter_template("utter_welcome_2", tracker)
else:
dispatcher.utter_template("utter_welcome_no_humans_1", tracker)
dispatcher.utter_template("utter_welcome_no_humans_2", tracker)
return []
40. 39
"""Helper module for the action.py module."""
from rasa_core_sdk import Action
import requests
from utils.sender_id_converter import sender_id_to_dict
from utils.setup import setup_config
def live_agent_availability(sender_id):
"""Call the endpoint to know about agent availability."""
try:
user_id = sender_id_to_dict(sender_id)["user_id"]
headers = {"x-n26-userid": user_id}
r = requests.get(
setup_config.agent_availability_endpoint, headers=headers, timeout=1
)
if r.status_code == 200:
return r.json()["liveagent"]["status"] == "AVAILABLE"
else:
return False
except requests.exceptions.RequestException:
return False
class ActionWelcome(Action):
"""Welcomes a user depending on agent's availability."""
def name(self):
"""Name."""
return "action_welcome"
def run(self, dispatcher, tracker, domain):
"""Run."""
live_agent_available = live_agent_availability(tracker.sender_id)
if live_agent_available:
dispatcher.utter_template("utter_welcome_1", tracker)
dispatcher.utter_template("utter_welcome_2", tracker)
else:
dispatcher.utter_template("utter_welcome_no_humans_1", tracker)
dispatcher.utter_template("utter_welcome_no_humans_2", tracker)
return []
43. Challenges Writing custom actions
How do we allow content creators to create actions
without coding?
Serving multiple markets
How do we ensure consistency across markets?
Serving multilingual content
How do we serve the content in 5 languages?
42
Deploy to different markets
How to make it easy to launch to new markets?