Conversational Teams: Moving Fast at Scale | Rasa Summit 2021

•

1 like•176 views

Presented by Alan Nichol at the 2021 Rasa Summit See the talk recording on the Rasa YouTube channel: https://youtu.be/LFRQWNfprQU

Technology

Come chat with us at the Rasa
booth - it’s open all day!

shop.rasa.com
Summit Merch
Limited Edition
Claim your $25 discount code at
+ A free Summit sticker with your order!

Code of Conduct
rasa.com/community/code-of-conduct

Confidential and proprietary.
Any use of this material without specific permission of Rasa is strictly prohibited.
Conversational Teams:
Moving Fast at Scale
February 2021

Rasa has traction across industries with over 10 million downloads worldwide.
*Cumulative Pypi and Github downloads of Rasa open source tools
Healthcare Insurance Banking
Telecommunications Manufacturing
Retail & Technology
*Cumulative Pypi and Github downloads of Rasa open source tools
m
m
m
m
Downloads

AI Assistants involve machine learning
That doesn’t mean we should throw out everything
we know about shipping good software.

Successful assistants will scale to a larger user base

And will expand to help users in new ways
Check balance Money transfer

They get deployed on diﬀerent channels and in multiple languages

The teams supporting them grow and divide, and include many diﬀerent roles

And teams will share functionality across assistants
* greet
- Hi
- Hello
* goodbye
- Bye
- See ya
Financial bot
Sales bot

Good news: a lot of this has already been figured out, and you’re (hopefully)
already doing much of it.
Most best practices from shipping software products translate well to conversational AI

Feels like going faster Actually makes us faster
Learning from real conversations
Changes go live right away
Building on customizable infrastructure
Changes go live after review & automated tests
Versioning both together for reproducibility
Composing at build time
Generating lots of synthetic training data
Using a black box tool that hides the details
Separating code & content
Composing at run time

Accelerate RoI by learning from real users as early as possible.
Putting CDD to the test (Rasa Blog) CDD Playbook (website)
Generating lots of synthetic training data Learning from real conversations

Use the latest research and choose the model that works best for you.
≈≈
Plug and play language models like BERT and GPT-2 into
DIET, or bring your own embeddings.
DIET has been used to train NLU models in 60+ languages!
Using a black box tool that hides the details Building on customisable infrastructure

#232a2e
Spend time on enhancements instead of fixing bugs introduced last week.
Changes go live right away Changes go live after review & automated tests
Separating code & content Versioning both together for reproducibility

Reliably share the load across teams by sharing code and composing at build time.
money_transfer:
- I want to transfer money
- I want to make a transfer
Financial bot
loan_queries:
- I need a loan
- I want to take out a loan
Composing at run time Composing at build time
Insurance bot
Main bot
Financial bot
Microservices only work if you can enforce a strict API between components. That’s not how people talk.

Alan Nichol
Co-founder & CTO
alan@rasa.com
@alanmnichol
Email me! →
alan@rasa.com

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/

Deploy your Rasa Chatbots like a Boss with DevOps | Rasa Summit 2021

Rasa Technologies

The State of Conversation Design - Designing for the Conversational Future

Rasa Technologies

The document is a transcript from a conversation design training course. It covers many topics related to designing conversational interfaces and assistants, including fundamentals of conversation design, understanding user scenarios, designing prompts, testing assistants, improving performance metrics, building training phrases, and more. The transcript copyright is held by Conversation Design Institute B.V. and encourages learning more about conversation design through their courses.

2018-10-18 J2 5A - Professional dev low code no code dev and citizen develope...

Modern Workplace Conference Paris

Mike Fitzmaurice is the CTO of skybow and has over 25 years of experience with workflow, business productivity, and citizen development. He discusses citizen development, which allows users without formal technical training to build applications and automate business processes. Citizen development is inevitable and should be embraced by IT, who can provide tools, rules, catalogs and reviews to guide amateur development while still achieving business goals. When managed properly, amateur development through citizen development platforms can streamline operations and increase productivity across an organization.

Lessons Learned from Revamping Our Doc Site

Pronovix

Leaping Forward: Finding The Future of Your API Docs

Pronovix

Have a great developer portal but it’s not gaining much traction? The team at developer.tomtom will share their experiences as to how they revamped their developer portal and turned it into a multiple time award winner by enhancing the UX and including the developers in the conversation! What do you do when your API portfolio grows in size and complexity? How do you keep your product portfolio logical for the technical profiles while keeping it simple for the business users? In this talk, the team behind developer.tomtom.com will explain how they completely revamped their developer portal to improve the product experience for different user profiles; sharing best practices and lessons learned around persona research, usability testing, use cases and product positioning.

Branching Your Way to Low-Code Perfection

OutSystems

Best Of Build: Durable fuctions + SignalR Service + Cognitive Search

Moaid Hathot

Red Hat Forum London 2014 - Delivering Innovation at Speed, A JBoss Perspective

Jeremy Brown

The document discusses delivering innovation at speed from a JBoss perspective. It talks about how business is changing fast and customer demands are different, driven by DevOps and continuous delivery. It advocates for innovating the development platform to accelerate getting products to market faster by understanding incoming data, integrating applications and data across the enterprise, and automating reactions to real-time business events. Docker and Fabric8 are mentioned as helping with these goals. The presentation concludes that everybody benefits in an automated enterprise with more innovation to the business through increased productivity and faster time-to-market.

Structuring the code

Iman Tunggono

An Introduction To The Red Hat Model

Jeremy Brown

Jeremy Brown discusses Red Hat's open source business model and principles for selecting software. Some key points: 1. Red Hat's model is "community powered innovation" - it contributes to and leads many open source communities while also offering long term enterprise support subscriptions. 2. Jeremy's rules for selecting software emphasize proven solutions, long term support, predictable costs, minimizing lock-in, and not paying for upgrades. 3. For open source specifically, the size and growth of the community as well as licensing terms that allow forking are important factors.

How to Build a Dialogflow App by using Actions on Google.

Yuting Liu

This document discusses building actions for Google Assistant using Dialogflow. It covers setting up a Dialogflow agent project, training the agent with sample conversations, defining intents and parameters, configuring responses, adding fulfillment logic, and integrating the agent with other services like Line. The document also provides instructions for deploying the Dialogflow agent to Firebase Functions and includes some tips for getting started with building agents.

Introduction of Dialogflow with google assistant and Artificial intelligence

Harshil Barot

This document provides an introduction to Google Assistant and how it works using Dialogflow. It defines artificial intelligence and gives examples of AI, such as smart home devices, virtual assistants, and more. It then discusses what Google Assistant is, how it works by asking questions, determining context and responding audibly. Finally, it covers what Dialogflow is and how to write an agent on Dialogflow by defining the agent, creating entities, intents, testing and training the agent, and integrating it.

Dialogflow

Luca Maiano

Busting myths about business apps, low code style

Zoho Creator

This document debunks 7 common myths about using low-code platforms to build business applications. It discusses that spreadsheets have limitations, customized apps are needed for unique businesses, and low-code platforms make app building easy, fast, and inexpensive. It then addresses each myth in turn, such as that programming is not rocket science, spreadsheets cannot do everything a business needs, buying an app is not always easier than building one, low-code platforms can solve a variety of problems, apps are easier to maintain than spreadsheets, apps are not difficult for employees to learn, and existing data will not be lost when migrating to a low-code platform.

The spirit of Opensource - lets plan to contribute ! @JWC16

Parth Lawate

Open Source Is A Powerful Concept And Used Correctly It Evolves A Powerful & Sustainable Ecosystem Around It. Open Source Can Be A Powerful Strategy That Drives Growth And Innovation. Join This Session To See How You Or Your Company Can Adopt This Powerful Tool That Not Only Increases Your Development Velocity But Also Drives You To Innovate And Make A Difference All While Running A Sustainable Business Around It !

GraphQL vs BFF: A critical perspective

Pronovix

Imagine an application that has a web and a mobile, IOS and Android, or that your API is consumed by similar frontends from totally different teams. The functionalities they provide are distinct, hence the need for distinct sets of data and functions. You might think that the solution for this is having an “as generic as possible” backend for all UI’s. From my experience, this kind of backend leads to big issues in matters of performance, entangled user experience as well as extra and unnecessary communication for the development teams in order to align and meet their needs. Fortunately, there is a promising set of approaches taking the stage as they are created with the intention to optimize how front-end applications collaborate with back-ends: BFF (Backend-For-Frontend) pattern and GraphQL. Given these two approaches, which one is the right to consider? Join me in a talk where we will discuss the two approaches, underline both their good and bad sides, and determine which you should consider as the backend technology for your frontend application.

5 Level of AI Assistants from the Chatbot Conference

Stefan Kojouharov

Advancing Your API Strategy in an Infrastructure World

Pronovix

Agile Project Initiation

Michael Dunham

How to build a Chatbot with Google's Dialogflow

Moses Sam Paul Johnraj

Boss - Bringing More Diversity to Tech | Rasa Summit

Rasa Technologies

Bruna Moreira created the Big Open Source Sister (BOSS) mentoring program to welcome and guide underrepresented groups through contributing to open source communities. The program focuses on teaching the basics of open source through a 12-week online class, mentorship, and hands-on practices contributing to the LAPPIS rasa boilerplate project. Participants gain autonomy to contribute to other open source projects after completing the program.

Chatbot Basics - Building Chatbots using Google Dialogflow

Biswaranjan Rout

A chatbot is a computer program that simulates conversation with users over the Internet using machine learning and natural language processing. Chatbots are increasingly replacing customer service agents. This document discusses building a simple chatbot using Google Dialogflow and provides an example architecture involving NLP engines, machine learning engines, databases, and third party APIs to power the chatbot's capabilities. It also lists some potential applications such as a meeting room booking agent, virtual office assistant, money manager, stock monitor, or food ordering bot.

apidays LIVE New York 2021 - Designing API's: Less Data is More! by Damir Svr...

apidays

About me - Rothschild Partnerships

Moaid Hathot

This document profiles Moaid Hathot, a software architect with 8 years of experience. It outlines his work as a freelancer, consultant, and frequent speaker. It also discusses his focus on software architecture and community contributions through blog posts, meetups, and student mentoring. The document suggests considering different career paths within fields like software, data science, and product management.

BUDDY White Paper

Achmad Surya Afandy

Buddy, partnered with industry leaders such as Amazon, Docker, Github, Microsoft, and Google, is a winning development automation platform that serves a rapidly growing market valued to become $345 billion by 2022. Over 7,000 developers use Buddy every day across 120+ countries. Featured customers: INC. Magazine, CGI.com & ING Bank. Our vision is to become the backbone on which talented people can build world-altering apps & services. Our goal is to take the load off millions of developers by offloading everything that can be automated – giving them back the time for being creative.

Thriving in an Environment of Change

Neeraj Bhatia

The enterprise software landscape has gone through several changes over the last few years. One of key changes has been the shift from large monolithic "on-premises" software to modular services (or microservices) served via the cloud. This is a fundamental shift in the way we build and release software, and it has necessitated a change in how technical writing teams manage and deliver documentation. This is our story of transformation, of how we adapted and responded to changes coming our way from multiple directions, and what we learnt through the process.

What's hot

How to Tailor Your Developer Portal to Your Audience

Pronovix

Branching Your Way to Low-Code Perfection

OutSystems

Best Of Build: Durable fuctions + SignalR Service + Cognitive Search

Moaid Hathot

Red Hat Forum London 2014 - Delivering Innovation at Speed, A JBoss Perspective

Jeremy Brown

Structuring the code

Iman Tunggono

An Introduction To The Red Hat Model

Jeremy Brown

How to Build a Dialogflow App by using Actions on Google.

Yuting Liu

Introduction of Dialogflow with google assistant and Artificial intelligence

Harshil Barot

Dialogflow

Luca Maiano

Busting myths about business apps, low code style

Zoho Creator

The spirit of Opensource - lets plan to contribute ! @JWC16

Parth Lawate

GraphQL vs BFF: A critical perspective

Pronovix

5 Level of AI Assistants from the Chatbot Conference

Stefan Kojouharov

Advancing Your API Strategy in an Infrastructure World

Pronovix

Agile Project Initiation

Michael Dunham

How to build a Chatbot with Google's Dialogflow

Moses Sam Paul Johnraj

Boss - Bringing More Diversity to Tech | Rasa Summit

Rasa Technologies

Chatbot Basics - Building Chatbots using Google Dialogflow

Biswaranjan Rout

apidays LIVE New York 2021 - Designing API's: Less Data is More! by Damir Svr...

apidays

About me - Rothschild Partnerships

Moaid Hathot

What's hot (20)

How to Tailor Your Developer Portal to Your Audience

Branching Your Way to Low-Code Perfection

Best Of Build: Durable fuctions + SignalR Service + Cognitive Search

Red Hat Forum London 2014 - Delivering Innovation at Speed, A JBoss Perspective

Structuring the code

An Introduction To The Red Hat Model

How to Build a Dialogflow App by using Actions on Google.

Introduction of Dialogflow with google assistant and Artificial intelligence

Dialogflow

Busting myths about business apps, low code style

The spirit of Opensource - lets plan to contribute ! @JWC16

GraphQL vs BFF: A critical perspective

5 Level of AI Assistants from the Chatbot Conference

Advancing Your API Strategy in an Infrastructure World

Agile Project Initiation

How to build a Chatbot with Google's Dialogflow

Boss - Bringing More Diversity to Tech | Rasa Summit

Chatbot Basics - Building Chatbots using Google Dialogflow

apidays LIVE New York 2021 - Designing API's: Less Data is More! by Damir Svr...

About me - Rothschild Partnerships

Similar to Conversational Teams: Moving Fast at Scale | Rasa Summit 2021

BUDDY White Paper

Achmad Surya Afandy

Thriving in an Environment of Change

Neeraj Bhatia

Repurpose, Reuse, Refresh

G3 Communications

The document discusses strategies for repurposing, reusing, and refreshing content. It recommends first understanding the target audience through research to develop a persona. Then an editorial calendar can be created using topics relevant to that persona. Existing content can be broken down into multiple short form pieces for different channels. Partnerships and freelancers may provide free or low-cost content that can be co-branded or redistributed. Overall, the key is to prioritize flagship content and connect various content pieces to maximize value from repurposing.

Exploring the Benefits of Draftbit and Flutterflow for Businesses.pdf

Expert App Devs

AI for Everyone: Demystifying Large Language Models (LLMs) Like ChatGPT

Cprime

We’ve only scratched the surface of realizing the full potential of ChatGPT and other Large Language Models (LLMs) in a strategic business context. Here’s another game-changer: Incorporating your unique enterprise data with LLMs to tailor a private model that learns, retains, and utilizes your business’s unique information. It can deliver contextualized value and efficiency to enhance processes and better achieve strategic outcomes. In this webinar, we’ll explore how these custom models are revolutionizing the business landscape with the added context of invaluable proprietary business knowledge. Join us to learn the power and practical applications of secure, private LLMs and catch live demonstrations to tangibly enforce how to tackle significant business challenges such as Agile Adoption and Service Management. Learning Objectives - Introduction to AI and LLMs: Understand the basics of Artificial Intelligence (AI) and how widely available Large Language Models (LLMs) are a key advancement in this field. - Practical Applications of LLMs: Learn how LLMs can enhance operational processes and contribute to business growth in real-world scenarios, and how they can be customized to meet specific business needs. - Benefits of Customization: Discover the advantages of tailoring AI solutions like LLMs to understand and support unique business requirements. - Relevance and Precision: Learn how LLMs adapt to specific business contexts, ensuring that interactions are accurate and aligned with organizational objectives.

Scaling organic growth by building products - Turing Fest 2018

Fabrizio Ballarini

My talk at Turing Fest 2018 Building products with engineers is the most scalable way to drive organic growth. In the presentation I introduce briefly the disconnect I found between marketing and product/engineering from my past consulting experience, cover the basics on how we setup autonomous and independent growth teams and ultimately dive into how we drive growth by building products with engineers. In the “building products” deep dive I give an overview of our framework to generate products ideas from search data, provide some tactical examples on how building custom CMSs allows us to quickly validate MVPs, why we invest in infrastructure to scale acquisition and what we learned so far by building products that solve customers problems across the entire funnel.

Scrum + bdd + ddd

Helder De Oliveira

Agicent Technologies : Offshore developer rates

davidfegan981

Directi Information Session on Campus @ IITD

Directi Group

Directi is a technology company that started in 1998 and has since grown significantly. It has over 550 employees across offices in India, UAE, China, and the US. Some of its businesses include web hosting, email hosting, payment processing, and social media platforms. Life at Directi includes working with smart colleagues, challenging projects, an open culture, flexibility, and work-life balance. The company seeks software developers and offers roles from individual contributors to management. A variety of programming languages, tools, and technologies are used.

Mobile App Development for Startups | Phase Specific Presentation

Kogi Mobile | Mobile App Development

AI 2023.pdf

DavidCieslak4

This document discusses AI and ChatGPT. It begins with an introduction to David Cieslak and his company RKL eSolutions, which provides ERP sales and consulting. It then provides definitions for key AI concepts like artificial intelligence, generative AI, large language models, and ChatGPT. The document discusses OpenAI's ChatGPT tool and how it works. It covers prompts, commands, and potential uses and impacts of generative AI technologies. Finally, it discusses concerns regarding generative AI and the future of life institute's call for more oversight of advanced AI.

Case Studies in Enterprise Messaging Federation

Alan Quayle

Frank Geck, Director of Customer Success, Mio Mio powers seamless communication between Slack, Microsoft Teams & Webex Teams. Mio’s technology solves a common problem that exists within modern enterprises today: too many siloed messaging apps. Mio keeps teams in sync by enabling employees to chat directly or in groups, share files, edit messages, and more – all from their tool of choice. We’ll introduce Mio, share some of our interesting case studies, and a vision of how federation with Mio will evolve?

Involve your Engineering team in the recruitment proces

Guillaume Maron

The document discusses involving engineering teams in the recruitment process. It outlines the typical recruitment process, including interviews and assessments. It recommends engineering teams collaborate on job descriptions, conduct interviews, provide input on cultural fit, and help "sell" the company to candidates. Doing so gives engineers ownership over recruitment, improves hiring quality, and increases referrals from existing staff. While it takes significant time, clear processes and training interviewers can mitigate disruption.

Builder: A human-assisted AI platform that lets you build, run, and scale sof...

Amazon Web Services

Builder empowers anyone to create, operate and scale the lifecycle of digital projects. We do so with three products: BuilderStudio. Build your next software project using an assembly-line platform implemented with the assistance of human-assisted AI and a vast network of global technical resources. BuilderCare. BuilderCare guarantees your bespoke software stays up-to-date, and continues after third-party libraries such as Facebook APIs are updated. BuilderCloud. Leverage AI and machine learning to effortlessly maintain the scale of your cloud infrastructure. Speakers: Varghese Cherian, Managing Director & SVP, Builder.ai

Inclusive, Accessible Tech: Bias-Free Language in Code and Configurations

Anne Gentle

Heard of suss? You can suss out more information or you can find someone's information to be suss. "Suss" shows the flexibility of language. It’s an ongoing process to change how we use certain words. It's important to choose words carefully to convey the correct meaning and avoid harmful subtext or exclusion. Let's explore some of the tools and triage methods it takes from an engineering viewpoint to make bias-free choices. How can you ensure that biased words do not sneak into code, UI, docs, configurations, or our everyday language? First, let's walk through how to take an inventory of assets from code to config files to API specifications to standards. Next, by placing those findings into categories, prioritize the work to substitute with inclusive alternatives. Let's examine some examples using both API and code assets. Next is a demonstration of how to automate analyzing your source code or documentation with a linter, looking for patterns based on rules that are fed into the tool. What's in the future for these efforts? Inclusive language should expand beyond English and North American efforts. To do so, let's organize the work with automation tooling, as engineers do.

Bot that chats with sap

Danish Nadeem

Repurpose, Reuse and Refresh Content

Pam Didner

The document discusses strategies for repurposing, reusing, and refreshing existing content. It recommends first understanding your audience through research to identify personas. An example IT manager persona is provided. Editorial topics can then be developed based on personas' needs and used to determine what content to create or repurpose. Options for repurposing include breaking down long-form content into shorter pieces, adapting content for different formats and audiences, and combining elements from multiple sources into new content. Leveraging partners' materials and freelancers can help when budgets are limited. Proper planning is key to maximizing the value of repurposed content.

Fabrizio Ballarini — Scaling Organic Growth by Building Products (Turing Fest...

Turing Fest

Building products with engineers is the most scalable way to drive organic growth. I will introduce briefly the disconnect I found between marketing and product/engineering from my past consulting experience, cover the basics on how we setup autonomous and independent growth teams and ultimately dive into how we drive growth by building products with engineers. In the “building products” deep dive I will give an overview of our framework to generate products ideas from search data, provide some tactical examples on how building custom CMSs allows us to quickly validate MVPs, why we invest in infrastructure to scale acquisition and what we learned so far by building products that solve customers problems across the entire funnel.

Buddy One Pager

Achmad Surya Afandy

Buddy is a development automation platform that serves a rapidly growing market valued at $345 billion by 2022. It is partnered with industry leaders like Docker, GitHub, Microsoft Azure and Google. Buddy's vision is to become the backbone that allows talented people to build world-altering apps and services by taking the load off millions of developers and giving them time to be creative. It streamlines the entire application development and deployment process, freeing up developers' time for creativity and innovation while drastically improving their workload. Buddy automates application development and deployment with over 70 ready-to-use steps.

0101InSite

Stephenie Barrett

1. Ted Carl welcomes ADP/SIS associates and congratulates them on their achievements in 2000, looking forward to additional successes in 2001. 2. The newsletter provides information on employee assistance programs, ergonomic tips, service awards, product news and updates, and client news including improvements to documentation available on SiSnet. 3. SiSnet, the company's extranet website, is using XML and other technologies to provide clients with up-to-date documentation like program field definitions and service level reports in a more efficient manner.

Similar to Conversational Teams: Moving Fast at Scale | Rasa Summit 2021 (20)

BUDDY White Paper

Thriving in an Environment of Change

Repurpose, Reuse, Refresh

Exploring the Benefits of Draftbit and Flutterflow for Businesses.pdf

AI for Everyone: Demystifying Large Language Models (LLMs) Like ChatGPT

Scaling organic growth by building products - Turing Fest 2018

Scrum + bdd + ddd

Agicent Technologies : Offshore developer rates

Directi Information Session on Campus @ IITD

Mobile App Development for Startups | Phase Specific Presentation

AI 2023.pdf

Case Studies in Enterprise Messaging Federation

Involve your Engineering team in the recruitment proces

Builder: A human-assisted AI platform that lets you build, run, and scale sof...

Inclusive, Accessible Tech: Bias-Free Language in Code and Configurations

Bot that chats with sap

Repurpose, Reuse and Refresh Content

Fabrizio Ballarini — Scaling Organic Growth by Building Products (Turing Fest...

Buddy One Pager

0101InSite

More from Rasa Technologies

Six Steps to Conversation Driven Development

Rasa Technologies

This document discusses Conversation-Driven Development (CDD) as a process for building conversational AI assistants. It describes CDD as involving six key actions: sharing prototypes with test users, reviewing user conversations, annotating conversations as training data, testing the assistant, tracking the success of conversations, and fixing issues found. CDD captures lessons learned from building conversational AI to help teams iteratively improve assistants based on user feedback. The document also promotes Rasa X as a tool that can help teams implement CDD through features like reviewing conversations, annotating data, and continuous integration testing.

Beyond Sentiment Analysis: Creating Engaging Conversational Experiences throu...

Rasa Technologies

The document discusses creating empathetic conversational experiences through affective intelligence and mental state inference. It describes how sentiment analysis, emotion detection, and mental state tracking can be used to develop empathic dialog policies that improve the user's affective state. The system utilizes commonsense knowledge bases and reasoning to predict how events affect a user's emotions and motivations. The goal is to create more engaging experiences for users by understanding their perspective and responding supportively and understandingly.

How to Effectively Test Your Chatbot | Rasa Summit

Rasa Technologies

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

End-to-end training allows a model to directly predict responses based on the preceding text rather than using abstract representations like intents. The researcher conducted experiments showing end-to-end could work for dialogues, then integrated it into Rasa by allowing mixed format stories and an optional intents system. They welcomed users to try the new experimental end-to-end feature in Rasa 2.2.

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/

How Our Team Uses Rasa to Learn from Real Conversations | Rasa Summit

Rasa Technologies

Autodesk created the Autodesk Virtual Agent (AVA) to provide customer support for their products. The initial AVA used a decision tree and natural language processing to answer questions. Autodesk collected feedback showing customers preferred a conversational interface over a decision tree. Autodesk then redesigned AVA using a modular architecture to improve customer experience and scale across channels. The new AVA aims to reduce customer effort through natural language, personalized solutions, and routing customers to self-service options or human agents when needed.

Applying Conversational AI in the Enterprise

Rasa Technologies

The document discusses applying conversational AI in the enterprise. It notes that Rasa has over 10 million downloads worldwide across various industries. It also discusses some challenges of applying conversational AI at scale in enterprises, including meeting security standards, integrating with third-party services, varying DevOps expertise, and scaling conversations while maintaining a seamless user experience. The document provides examples of how AI assistants need to address security, integration with other services, and DevOps practices when scaling within an enterprise.

Ai = your data | Rasa Summit 2021

Rasa Technologies

STAR: A Schema-Guided Dialog Dataset for Transfer Learning | Rasa Summit 2021

Rasa Technologies

This document introduces the STAR dataset, a schema-guided dialog dataset for transfer learning. It contains over 5820 dialogs across 24 tasks in 13 domains. The dialogs were collected using task-specific schemas to guide the interactions. This allows the data to be used for zero-shot transfer learning across tasks. The document discusses how the schemas and task structures were designed to improve consistency, handle various user behaviors, and increase task difficulty progression. It also presents several schema-guided models that achieve improved next action prediction and response generation compared to non-schema models, including on zero-shot transfer tasks. The goal of the dataset and models is to enable dialog agents to quickly adapt to new tasks using only a task-specific schema

Continuous Improvement of Conversational AI in Production | Rasa Summit

Rasa Technologies

Ethnobots: Reimagining Chatbots as Ethnographic Research Tools | Rasa Summit ...

Rasa Technologies

Building an AI Assistant Factory - Rasa Summit 2021

Rasa Technologies

Building an End-to-End Test Automation Pipeline for Conversational AI | Rasa ...

Rasa Technologies

What’s next in CDD: Intent Clashes and Selective Confidence | Rasa Summit 2021

Rasa Technologies

Research Updates from Rasa: Transformers in NLU and Dialogue

Rasa Technologies

Webinar: How to Use Integrated Version Control in Rasa X

Rasa Technologies

The document discusses integrated version control in Rasa X, which allows teams to version training data and push changes made in Rasa X to a target branch connected to a remote git repository. It provides an overview of getting started with setting up version control by deploying Rasa X, adding an SSH key to GitHub, and connecting Rasa X. The document also discusses how integrated version control connects Rasa X to downstream workflows like automated testing and deployments and brings it in line with software engineering best practices.

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.

More from Rasa Technologies (20)

Six Steps to Conversation Driven Development

Beyond Sentiment Analysis: Creating Engaging Conversational Experiences throu...

How to Effectively Test Your Chatbot | Rasa Summit

End-to-end dialogue systems, or a feature which wasn’t meant to happen | Rasa...

Voice First: Ready Your Content to Serve 50% of Global Searches | Rasa Summit...

The missing link: How AI can help create a safer society and better businesse...

How Our Team Uses Rasa to Learn from Real Conversations | Rasa Summit

Applying Conversational AI in the Enterprise

Ai = your data | Rasa Summit 2021

STAR: A Schema-Guided Dialog Dataset for Transfer Learning | Rasa Summit 2021

Continuous Improvement of Conversational AI in Production | Rasa Summit

Ethnobots: Reimagining Chatbots as Ethnographic Research Tools | Rasa Summit ...

Building an AI Assistant Factory - Rasa Summit 2021

Building an End-to-End Test Automation Pipeline for Conversational AI | Rasa ...

What’s next in CDD: Intent Clashes and Selective Confidence | Rasa Summit 2021

Research Updates from Rasa: Transformers in NLU and Dialogue

Webinar: How to Use Integrated Version Control in Rasa X

Rasa Developer Summit - Bing Liu - Interactive Learning of Task-Oriented Dial...

Rasa Developer Summit - Josh Converse, Dynamic Offset - Three Part Harmony: H...

Rasa Developer Summit - Praneeth Gubbala, NLP Engineer, Sam's Club at Walmart...

Recently uploaded

Essentials of Automations: The Art of Triggers and Actions in FME

Safe Software

In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation. We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios. Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!

Encryption in Microsoft 365 - ExpertsLive Netherlands 2024

Albert Hoitingh

みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...

名前です男

Data structures and Algorithms in Python.pdf

TIPNGVN2

GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024

Neo4j

Monitoring Java Application Security with JDK Tools and JFR Events

Ana-Maria Mihalceanu

How to Get CNIC Information System with Paksim Ga.pptx

danishmna97

Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf

Paige Cruz

Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack. While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack. I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:

“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...

Edge AI and Vision Alliance

For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/ Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit. In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing. van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.

PCI PIN Basics Webinar from the Controlcase Team

ControlCase

How to use Firebase Data Connect For Flutter

Daiki Mogmet Ito

Introduction to CHERI technology - Cybersecurity

mikeeftimakis1

GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024

Neo4j

Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf

Malak Abu Hammad

Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers: * What is Vector Search? * Importance and benefits of vector search * Practical use cases across various industries * Step-by-step implementation guide * Live demos with code snippets * Enhancing LLM capabilities with vector search * Best practices and optimization strategies Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications. #MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology

Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...

SOFTTECHHUB

The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing. One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.

Large Language Model (LLM) and it’s Geospatial Applications

Rohit Gautam

RESUME BUILDER APPLICATION Project for students

KAMESHS29

20240609 QFM020 Irresponsible AI Reading List May 2024

Matthew Sinclair

Pushing the limits of ePRTC: 100ns holdover for 100 days

Adtran

UiPath Test Automation using UiPath Test Suite series, part 5

DianaGray10

Recently uploaded (20)

Essentials of Automations: The Art of Triggers and Actions in FME

Encryption in Microsoft 365 - ExpertsLive Netherlands 2024

Data structures and Algorithms in Python.pdf

GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024

Monitoring Java Application Security with JDK Tools and JFR Events

How to Get CNIC Information System with Paksim Ga.pptx

Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf

“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...

PCI PIN Basics Webinar from the Controlcase Team

How to use Firebase Data Connect For Flutter

Introduction to CHERI technology - Cybersecurity

GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024

Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf

Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...

Large Language Model (LLM) and it’s Geospatial Applications

RESUME BUILDER APPLICATION Project for students

20240609 QFM020 Irresponsible AI Reading List May 2024

Pushing the limits of ePRTC: 100ns holdover for 100 days

UiPath Test Automation using UiPath Test Suite series, part 5

Conversational Teams: Moving Fast at Scale | Rasa Summit 2021

2. Welcome!

3. Come chat with us at the Rasa booth - it’s open all day!

4. Schedule rasa.com/summit

5. #RasaSummit

6. shop.rasa.com Summit Merch Limited Edition Claim your $25 discount code at + A free Summit sticker with your order!

7. Code of Conduct rasa.com/community/code-of-conduct

8. Confidential and proprietary. Any use of this material without specific permission of Rasa is strictly prohibited. Conversational Teams: Moving Fast at Scale February 2021

9. Rasa has traction across industries with over 10 million downloads worldwide. *Cumulative Pypi and Github downloads of Rasa open source tools Healthcare Insurance Banking Telecommunications Manufacturing Retail & Technology *Cumulative Pypi and Github downloads of Rasa open source tools m m m m Downloads

10. AI Assistants involve machine learning That doesn’t mean we should throw out everything we know about shipping good software.

11. The many faces of scale

12. Successful assistants will scale to a larger user base

13. And will expand to help users in new ways Check balance Money transfer

14. They get deployed on diﬀerent channels and in multiple languages

15. The teams supporting them grow and divide, and include many diﬀerent roles

16. And teams will share functionality across assistants * greet - Hi - Hello * goodbye - Bye - See ya Financial bot Sales bot

17. Move fast and scale things

18. Good news: a lot of this has already been figured out, and you’re (hopefully) already doing much of it. Most best practices from shipping software products translate well to conversational AI

19. Feels like going faster Actually makes us faster Learning from real conversations Changes go live right away Building on customizable infrastructure Changes go live after review & automated tests Versioning both together for reproducibility Composing at build time Generating lots of synthetic training data Using a black box tool that hides the details Separating code & content Composing at run time

20. Accelerate RoI by learning from real users as early as possible. Putting CDD to the test (Rasa Blog) CDD Playbook (website) Generating lots of synthetic training data Learning from real conversations

21. Use the latest research and choose the model that works best for you. ≈≈ Plug and play language models like BERT and GPT-2 into DIET, or bring your own embeddings. DIET has been used to train NLU models in 60+ languages! Using a black box tool that hides the details Building on customisable infrastructure

22. #232a2e Spend time on enhancements instead of fixing bugs introduced last week. Changes go live right away Changes go live after review & automated tests Separating code & content Versioning both together for reproducibility

23. Reliably share the load across teams by sharing code and composing at build time. money_transfer: - I want to transfer money - I want to make a transfer Financial bot loan_queries: - I need a loan - I want to take out a loan Composing at run time Composing at build time Insurance bot Main bot Financial bot Microservices only work if you can enforce a strict API between components. That’s not how people talk.

24. Scaling your Ambition

25.

26. A scalable foundation for grand designs. PRODUCT Consistent across every touchpoint, easily evolved with new and better skills and actionable insights A brand conversation and customer experience Company Customer

27. Alan Nichol Co-founder & CTO alan@rasa.com @alanmnichol Email me! → alan@rasa.com

Conversational Teams: Moving Fast at Scale | Rasa Summit 2021

Recommended

Recommended

More Related Content

What's hot

What's hot (20)

Similar to Conversational Teams: Moving Fast at Scale | Rasa Summit 2021

Similar to Conversational Teams: Moving Fast at Scale | Rasa Summit 2021 (20)

More from Rasa Technologies

More from Rasa Technologies (20)

Recently uploaded

Recently uploaded (20)

Conversational Teams: Moving Fast at Scale | Rasa Summit 2021