Using Machine Learning and Chatbots to handle 1st line technical supportBarbara Fusinska
The document discusses using machine learning and chatbots for first line technical support. It defines what a chatbot is, including passing the Turing test. Chatbots are useful for customer service, technical support via answering frequently asked questions, and replacing forms. The architecture of chatbots includes receiving and sending messages and processing them. Popular chatbot platforms are also listed. An example chatbot for IT support is demonstrated. The document outlines building chatbots without machine learning via scripting, but notes natural language processing and classification models can apply artificial intelligence to better understand user intents.
APIs define contracts between a service and a client, and with the rise of representation languages like Swagger, Apiary, and RAML, these contracts can be consumed programmatically and adapted easily into our codebases. Other tools like JSON Schema also contribute to this idea of integration between service and client.
But what about our documentation? If API contracts can be assimilated into software, surely it can drive our documentation too? In this talk, I want to introduce some of the techniques I've used on past projects that allow exactly that. By using remote schemas to generate software, it also allows us to generate working documentation that is always relevant and never out of date. Apart from accuracy, we also get the added benefits of reduced development time, reduced effort, and reduced duplication. We can all of this by documenting once, and re-using across multiple projects!
Introduction of Dialogflow with google assistant and Artificial intelligenceHarshil 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.
An introductory presentation on Chatbots with Serverless (AWS Lambda). It covers AWS Lez, its terminologies and AWS Lambda in detail. It also showcases on how to connect your Lex bot to Facebook Messenger.
This is my presentation for Global Azure Verona 2021, where I talked about Azure Functions and how this technology can be used to process messages that come from WhatsApp in a chatbot environment.
A high profile project with Symfony and API Platform: beIN SPORTSSmile I.T is open
An API-first architecture was developed for beIN SPORTS' digital platforms to support multi-site, multi-language publishing across websites, mobile apps, and connected devices. API Platform and Symfony were used to create a central API encapsulating business logic and exposing semantically structured content. An API-centric CMS was developed to allow 60 journalists across 4 newsrooms to collaboratively publish content in real-time to platforms reaching up to 70 million users per month.
Using Machine Learning and Chatbots to handle 1st line technical supportBarbara Fusinska
The document discusses using machine learning and chatbots for first line technical support. It defines what a chatbot is, including passing the Turing test. Chatbots are useful for customer service, technical support via answering frequently asked questions, and replacing forms. The architecture of chatbots includes receiving and sending messages and processing them. Popular chatbot platforms are also listed. An example chatbot for IT support is demonstrated. The document outlines building chatbots without machine learning via scripting, but notes natural language processing and classification models can apply artificial intelligence to better understand user intents.
APIs define contracts between a service and a client, and with the rise of representation languages like Swagger, Apiary, and RAML, these contracts can be consumed programmatically and adapted easily into our codebases. Other tools like JSON Schema also contribute to this idea of integration between service and client.
But what about our documentation? If API contracts can be assimilated into software, surely it can drive our documentation too? In this talk, I want to introduce some of the techniques I've used on past projects that allow exactly that. By using remote schemas to generate software, it also allows us to generate working documentation that is always relevant and never out of date. Apart from accuracy, we also get the added benefits of reduced development time, reduced effort, and reduced duplication. We can all of this by documenting once, and re-using across multiple projects!
Introduction of Dialogflow with google assistant and Artificial intelligenceHarshil 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.
An introductory presentation on Chatbots with Serverless (AWS Lambda). It covers AWS Lez, its terminologies and AWS Lambda in detail. It also showcases on how to connect your Lex bot to Facebook Messenger.
This is my presentation for Global Azure Verona 2021, where I talked about Azure Functions and how this technology can be used to process messages that come from WhatsApp in a chatbot environment.
A high profile project with Symfony and API Platform: beIN SPORTSSmile I.T is open
An API-first architecture was developed for beIN SPORTS' digital platforms to support multi-site, multi-language publishing across websites, mobile apps, and connected devices. API Platform and Symfony were used to create a central API encapsulating business logic and exposing semantically structured content. An API-centric CMS was developed to allow 60 journalists across 4 newsrooms to collaboratively publish content in real-time to platforms reaching up to 70 million users per month.
What's AGI? How is it different from an Agent or an AI Assistant? If you're looking to understand how AI Agents/AGI can help your company, check this out.
This document provides an agenda and objectives for an Amazon Polly and Amazon Lex workshop. The agenda includes quick overviews of Polly and Lex, hands-on exercises for both Polly and Lex, and a summary. The objectives are to get hands-on experience with Polly and Lex and build a Lex bot. The overviews explain that Polly converts text to speech, Lex builds conversational interfaces, and the exercises provide example bots to build and links to follow.
This presentation is focused on building solutions and strategy to solve business or customer engagement challenges. It tells the Amazon Machine Learning story and describes core AWS Artificial Intelligence services such as Polly, Lex and Rekognition can be applied to business problems.
This document provides an overview of Amazon's AI and machine learning strategy and current offerings. It begins with an introduction from Guy Ernest of Amazon AI and discusses why companies talk about AI and machine learning. It then provides an overview of Amazon's machine learning services and platforms, including Amazon Machine Learning, Amazon AI, Deep Learning AMI, and services like EC2, ECS, EMR, Redshift, and Athena that can be used for machine learning workloads. It discusses the machine learning workflow and how different Amazon services fit into different parts of that workflow. It also discusses Amazon's approach to pricing for machine learning services.
An Intelligent Chatbot for College Enquiry with Amazon LexIRJET Journal
This document describes the development of an intelligent chatbot for college enquiries using Amazon Lex. The chatbot was created to handle queries related to college admissions, fees structures, scholarships and other information. It uses Amazon Lex, a service that allows developers to incorporate conversational interfaces into applications. The chatbot consists of intents that match user queries, slots that extract parameters from queries, and fulfillments that provide responses. The chatbot was tested through sample interactions where it successfully answered questions about academics, announcements, timetables and other college details by retrieving information from an AWS S3 storage service linked to it. The chatbot aims to reduce paperwork and provide a convenient way for stakeholders to get information.
In my talk I will discuss and show examples of using Apache Hadoop, Apache Hive, Apache MXNet, Apache OpenNLP, Apache NiFi and Apache Spark for deep learning applications.
As part of my talk I will walk through using Apache NXNet Pre-Built Models, MXNet's New Model Server with Apache NiFi, executing MXNet with Apache NiFi and running Apache MXNet on edge nodes utilizing Python and Apache MiniFi.
This talk is geared towards Data Engineers interested in the basics of Deep Learning with open source Apache tools in a Big Data environment. I will walk through source code examples available in github and run the code live on an Apache Hadoop / YARN / Apache Spark cluster.
This will be an introduction to executing Deep Learning Pipelines in an Apache Big Data environment.
My talk at Data Works Summit Sydney was listed in top 7 -> https://hortonworks.com/blog/7-sessions-dataworks-summit-sydney-see/
Also have speak at and run Future of Data Princeton and at Oracle Code NYC.
Ref:
https://community.hortonworks.com/articles/83100/deep-learning-iot-workflows-with-raspberry-pi-mqtt.html
https://community.hortonworks.com/articles/146704/edge-analytics-with-nvidia-jetson-tx1-running-apac.html
https://dzone.com/refcardz/introduction-to-tensorflow
Speaker
Timothy Spann, Solutions Engineer, Hortonworks
Internet of Python - IOT with Python and Serverless | Sonal Raj | HydPy Feb 2019Sonal Raj
1) The document discusses using Python for internet of things (IOT) programming and serverless computing.
2) It covers topics like IOT architecture, message queueing protocols like MQTT, interfaces like GPIO, and developing voice skills for assistants using Alexa and Google Home.
3) Examples of smart home and health applications are provided along with code demos of setting up IOT systems and serverless APIs.
SoC Keynote:The State of the Art in Integration TechnologySrinath Perera
This talk discusses Outline of the state of the art of Enterprise Software and how we get there, as I see it. Also second part describes Ballerina, a new programming language WSO2 has built for Enterprise Computing.
It is presented as a Keynote at 11th Symposium and Summer School On Service-Oriented Computing.
Rapid Web Development with Python for Absolute BeginnersFatih Karatana
This document provides an overview of rapid web development using Python. It discusses Python's key features like dynamic typing, automatic memory management, and extensive library support that make it well-suited for web development. Popular Python web frameworks like Django, Flask, and Falcon are presented along with how to get started with each. The document also covers best practices for agile web development with Python like early and continuous delivery, testing, and deploying Python web projects.
API Athens Meetup - API standards 25-6-2014openi_ict
The document discusses different API description formats including API Blueprint, RAML, and Swagger. It provides an overview of each format's key features such as how they model REST, available tooling, community size, and licensing. The conclusion is that while Swagger has the largest adoption, both RAML and API Blueprint offer some advanced features but lack tooling and adoption. The best choice depends on needs and technologies. Examples of other formats like WADL, Discovery Docs, and Hydra are also briefly mentioned.
The document discusses different API description formats including API Blueprint, RAML, and Swagger. It provides an overview of each format's key features such as how they model REST, available tooling, community size, and licensing. The conclusion is that while Swagger has the largest adoption, both RAML and API Blueprint offer some advanced features but lack tooling and community. The best choice depends on needs and technologies. Examples of other formats like WADL, Discovery Docs, and Hydra are also briefly mentioned.
Today, there are many companies that are open to the idea of sharing and actively promote Open Source projects.
We, at Neev, not only promote Open Source, but actively utilize Open Source wherever possible in order to increase ROI for customers and decrease time-to-market.
It is the best way to give something back to the community. Neev has, from time-to-time, given back to the Open Source community through contributions that aim to solve critical issues faced by the IT community.
Here are 18 of our innovative Open Source tools.
Python is the most famous language for artificial intelligence. It also says the most useful language for AI. It was created in 1989. It is a very easy programing language and easy to grasp. Nowadays, many developers prefer to use python, and a lot of data scientists are also comfortable with the python language. It is best because the syntaxes that belong to python are very simple and can learn very quickly. Python is an interpreted, object-oriented, high-level programming language, and it can be easily implemented. Many AI algorithms and machine learning algorithms can easily be implemented in python because there are a lot of libraries that are pre-defined functions for these algorithms. We can only call that function; we don’t have to code the algorithm.
https://www.ducatindia.com/artificial-intelligence-training-in-delhi
( ** AWS Architect Training: https://www.edureka.co/cloudcomputing ** )
This “AWS Lex Tutorial” (AWS Blog Series: https://goo.gl/v6dwa7) by Edureka will help you understand what chatbots are & how to build awesome chatbots using Aws Lex service.
Following are the list of topics covered in this session:
What are chatbots?
What is AWS Lex?
How does Lex work?
Key concepts & terminologies
Creating a chatbot using Amazon Lex
Check out our complete AWS Playlist here: https://goo.gl/8qrfKU
Follow us to never miss an update in the future.
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
The document discusses chatbots and the need to integrate them. It provides an overview of chatbot types and maturity levels. It also discusses various ways chatbots can be integrated, including through backend systems, channels, and intelligence providing systems. The document notes that chatbots need APIs to external systems to function properly and should have limited scope. It shares Oracle's offerings for chatbot platforms, tools, and services to enable integrations.
Robotics, Search and AI with Solr, MyRobotLab, and Deeplearning4jKevin Watters
Here is the slide deck from my presentation at the Activate Conference in Montreal. The session is available on YouTube here: https://www.youtube.com/watch?v=BGHQ-WAWA98
The Intersection of Robotics, Search and AI with Solr, MyRobotLab, and Deep L...Lucidworks
This document discusses using robots, search, and AI technologies together. It summarizes demonstrating a humanoid robot that can learn from its surroundings and interact with humans naturally. The robot will learn to recognize people by being introduced to them, just as humans meet and remember each other. The agenda includes introducing the InMoov robot platform and MyRobotLab framework, and demonstrating how to make a cognitive robot using technologies like speech recognition, computer vision, natural language understanding, memory storage in Solr, and deep learning with Deeplearning4j.
This document discusses Namshi's transition from a monolithic PHP architecture to a microservices architecture using PHP, Node.js, and other technologies. Some of the benefits realized include improved scalability, deployability, and maintainability. Key aspects covered include the use of service-oriented architecture with independent services, HTTP as the communication protocol, RabbitMQ for messaging, and PHP frameworks like Silex for building APIs. The new architecture also aims to be stateless, using JSON Web Tokens for authentication.
Join me in this session where I'll share our journey of building a fully serverless application that flawlessly managed check-ins for an event with a staggering 80 thousand registrations.
We'll dive into three key strategies that made this possible. Firstly, by harnessing DynamoDB global tables, we ensured global service availability and data replication across regions, boosting performance and disaster recovery. Next, we'll explore how we seamlessly integrated real-time updates into the app using Appsync subscriptions, making the experience dynamic and engaging for users. Finally, I'll discuss how provisioned concurrency not only improved performance but also kept costs in check, highlighting the cost-effectiveness of serverless architectures.
Through these strategies and the inherent scalability of serverless technology, our application effortlessly handled massive user loads without manual intervention. This session is a real world example to the power and efficiency of modern cloud-based solutions in enabling seamless scalability and robust performance with Serverless
Lessons Learned from Building a Serverless Notifications System.pdfSrushith Repakula
Building a notification campaign might seem easy and it is easy to get started with a simple set up. But once the scale kicks in, it becomes every important to have a resilient architecture that can handle hundreds of thousands of recipients.
This talk will focus on the Serverless services consumed in building the architecture and the various architectural decisions.
The talk covers the various challenges in building an architecture of this sorts and how we overcame them using Serverless services.
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What's AGI? How is it different from an Agent or an AI Assistant? If you're looking to understand how AI Agents/AGI can help your company, check this out.
This document provides an agenda and objectives for an Amazon Polly and Amazon Lex workshop. The agenda includes quick overviews of Polly and Lex, hands-on exercises for both Polly and Lex, and a summary. The objectives are to get hands-on experience with Polly and Lex and build a Lex bot. The overviews explain that Polly converts text to speech, Lex builds conversational interfaces, and the exercises provide example bots to build and links to follow.
This presentation is focused on building solutions and strategy to solve business or customer engagement challenges. It tells the Amazon Machine Learning story and describes core AWS Artificial Intelligence services such as Polly, Lex and Rekognition can be applied to business problems.
This document provides an overview of Amazon's AI and machine learning strategy and current offerings. It begins with an introduction from Guy Ernest of Amazon AI and discusses why companies talk about AI and machine learning. It then provides an overview of Amazon's machine learning services and platforms, including Amazon Machine Learning, Amazon AI, Deep Learning AMI, and services like EC2, ECS, EMR, Redshift, and Athena that can be used for machine learning workloads. It discusses the machine learning workflow and how different Amazon services fit into different parts of that workflow. It also discusses Amazon's approach to pricing for machine learning services.
An Intelligent Chatbot for College Enquiry with Amazon LexIRJET Journal
This document describes the development of an intelligent chatbot for college enquiries using Amazon Lex. The chatbot was created to handle queries related to college admissions, fees structures, scholarships and other information. It uses Amazon Lex, a service that allows developers to incorporate conversational interfaces into applications. The chatbot consists of intents that match user queries, slots that extract parameters from queries, and fulfillments that provide responses. The chatbot was tested through sample interactions where it successfully answered questions about academics, announcements, timetables and other college details by retrieving information from an AWS S3 storage service linked to it. The chatbot aims to reduce paperwork and provide a convenient way for stakeholders to get information.
In my talk I will discuss and show examples of using Apache Hadoop, Apache Hive, Apache MXNet, Apache OpenNLP, Apache NiFi and Apache Spark for deep learning applications.
As part of my talk I will walk through using Apache NXNet Pre-Built Models, MXNet's New Model Server with Apache NiFi, executing MXNet with Apache NiFi and running Apache MXNet on edge nodes utilizing Python and Apache MiniFi.
This talk is geared towards Data Engineers interested in the basics of Deep Learning with open source Apache tools in a Big Data environment. I will walk through source code examples available in github and run the code live on an Apache Hadoop / YARN / Apache Spark cluster.
This will be an introduction to executing Deep Learning Pipelines in an Apache Big Data environment.
My talk at Data Works Summit Sydney was listed in top 7 -> https://hortonworks.com/blog/7-sessions-dataworks-summit-sydney-see/
Also have speak at and run Future of Data Princeton and at Oracle Code NYC.
Ref:
https://community.hortonworks.com/articles/83100/deep-learning-iot-workflows-with-raspberry-pi-mqtt.html
https://community.hortonworks.com/articles/146704/edge-analytics-with-nvidia-jetson-tx1-running-apac.html
https://dzone.com/refcardz/introduction-to-tensorflow
Speaker
Timothy Spann, Solutions Engineer, Hortonworks
Internet of Python - IOT with Python and Serverless | Sonal Raj | HydPy Feb 2019Sonal Raj
1) The document discusses using Python for internet of things (IOT) programming and serverless computing.
2) It covers topics like IOT architecture, message queueing protocols like MQTT, interfaces like GPIO, and developing voice skills for assistants using Alexa and Google Home.
3) Examples of smart home and health applications are provided along with code demos of setting up IOT systems and serverless APIs.
SoC Keynote:The State of the Art in Integration TechnologySrinath Perera
This talk discusses Outline of the state of the art of Enterprise Software and how we get there, as I see it. Also second part describes Ballerina, a new programming language WSO2 has built for Enterprise Computing.
It is presented as a Keynote at 11th Symposium and Summer School On Service-Oriented Computing.
Rapid Web Development with Python for Absolute BeginnersFatih Karatana
This document provides an overview of rapid web development using Python. It discusses Python's key features like dynamic typing, automatic memory management, and extensive library support that make it well-suited for web development. Popular Python web frameworks like Django, Flask, and Falcon are presented along with how to get started with each. The document also covers best practices for agile web development with Python like early and continuous delivery, testing, and deploying Python web projects.
API Athens Meetup - API standards 25-6-2014openi_ict
The document discusses different API description formats including API Blueprint, RAML, and Swagger. It provides an overview of each format's key features such as how they model REST, available tooling, community size, and licensing. The conclusion is that while Swagger has the largest adoption, both RAML and API Blueprint offer some advanced features but lack tooling and adoption. The best choice depends on needs and technologies. Examples of other formats like WADL, Discovery Docs, and Hydra are also briefly mentioned.
The document discusses different API description formats including API Blueprint, RAML, and Swagger. It provides an overview of each format's key features such as how they model REST, available tooling, community size, and licensing. The conclusion is that while Swagger has the largest adoption, both RAML and API Blueprint offer some advanced features but lack tooling and community. The best choice depends on needs and technologies. Examples of other formats like WADL, Discovery Docs, and Hydra are also briefly mentioned.
Today, there are many companies that are open to the idea of sharing and actively promote Open Source projects.
We, at Neev, not only promote Open Source, but actively utilize Open Source wherever possible in order to increase ROI for customers and decrease time-to-market.
It is the best way to give something back to the community. Neev has, from time-to-time, given back to the Open Source community through contributions that aim to solve critical issues faced by the IT community.
Here are 18 of our innovative Open Source tools.
Python is the most famous language for artificial intelligence. It also says the most useful language for AI. It was created in 1989. It is a very easy programing language and easy to grasp. Nowadays, many developers prefer to use python, and a lot of data scientists are also comfortable with the python language. It is best because the syntaxes that belong to python are very simple and can learn very quickly. Python is an interpreted, object-oriented, high-level programming language, and it can be easily implemented. Many AI algorithms and machine learning algorithms can easily be implemented in python because there are a lot of libraries that are pre-defined functions for these algorithms. We can only call that function; we don’t have to code the algorithm.
https://www.ducatindia.com/artificial-intelligence-training-in-delhi
( ** AWS Architect Training: https://www.edureka.co/cloudcomputing ** )
This “AWS Lex Tutorial” (AWS Blog Series: https://goo.gl/v6dwa7) by Edureka will help you understand what chatbots are & how to build awesome chatbots using Aws Lex service.
Following are the list of topics covered in this session:
What are chatbots?
What is AWS Lex?
How does Lex work?
Key concepts & terminologies
Creating a chatbot using Amazon Lex
Check out our complete AWS Playlist here: https://goo.gl/8qrfKU
Follow us to never miss an update in the future.
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
The document discusses chatbots and the need to integrate them. It provides an overview of chatbot types and maturity levels. It also discusses various ways chatbots can be integrated, including through backend systems, channels, and intelligence providing systems. The document notes that chatbots need APIs to external systems to function properly and should have limited scope. It shares Oracle's offerings for chatbot platforms, tools, and services to enable integrations.
Robotics, Search and AI with Solr, MyRobotLab, and Deeplearning4jKevin Watters
Here is the slide deck from my presentation at the Activate Conference in Montreal. The session is available on YouTube here: https://www.youtube.com/watch?v=BGHQ-WAWA98
The Intersection of Robotics, Search and AI with Solr, MyRobotLab, and Deep L...Lucidworks
This document discusses using robots, search, and AI technologies together. It summarizes demonstrating a humanoid robot that can learn from its surroundings and interact with humans naturally. The robot will learn to recognize people by being introduced to them, just as humans meet and remember each other. The agenda includes introducing the InMoov robot platform and MyRobotLab framework, and demonstrating how to make a cognitive robot using technologies like speech recognition, computer vision, natural language understanding, memory storage in Solr, and deep learning with Deeplearning4j.
This document discusses Namshi's transition from a monolithic PHP architecture to a microservices architecture using PHP, Node.js, and other technologies. Some of the benefits realized include improved scalability, deployability, and maintainability. Key aspects covered include the use of service-oriented architecture with independent services, HTTP as the communication protocol, RabbitMQ for messaging, and PHP frameworks like Silex for building APIs. The new architecture also aims to be stateless, using JSON Web Tokens for authentication.
Join me in this session where I'll share our journey of building a fully serverless application that flawlessly managed check-ins for an event with a staggering 80 thousand registrations.
We'll dive into three key strategies that made this possible. Firstly, by harnessing DynamoDB global tables, we ensured global service availability and data replication across regions, boosting performance and disaster recovery. Next, we'll explore how we seamlessly integrated real-time updates into the app using Appsync subscriptions, making the experience dynamic and engaging for users. Finally, I'll discuss how provisioned concurrency not only improved performance but also kept costs in check, highlighting the cost-effectiveness of serverless architectures.
Through these strategies and the inherent scalability of serverless technology, our application effortlessly handled massive user loads without manual intervention. This session is a real world example to the power and efficiency of modern cloud-based solutions in enabling seamless scalability and robust performance with Serverless
Lessons Learned from Building a Serverless Notifications System.pdfSrushith Repakula
Building a notification campaign might seem easy and it is easy to get started with a simple set up. But once the scale kicks in, it becomes every important to have a resilient architecture that can handle hundreds of thousands of recipients.
This talk will focus on the Serverless services consumed in building the architecture and the various architectural decisions.
The talk covers the various challenges in building an architecture of this sorts and how we overcame them using Serverless services.
With autoscaling, high tolerance, high availability, and a pay-as-you-go billing model out of the box, Serverless is proving to be a complete game changer. With developers only having to focus on the business logic and not worry about scale, infrastructure planning, maintenance, security patching, and many more, it has become the gateway to getting started with Cloud the new norm.
Experiences in Architecting & Implementing Platforms using Serverless.pdfSrushith Repakula
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Amazon EventBridge is a serverless event bus that makes it easier to build event-driven applications by handling events from applications and AWS services. AWS Step Functions allows combining Lambda functions and services into workflows with steps. It provides orchestration, parallel processing, and retry capabilities. AWS AppSync is a managed GraphQL service that can handle high volumes of requests and integrates with databases. It supports subscriptions using websockets.
In the ever fast paced software development, Serverless came in as a boon, enabling developers concentrate primarily on the business logic and nothing more! This only calls for a stringent process flow, making Continuous Development, Countinous Integration and Continuous Delivery highly advisable. This talk will focus on local testing of the serverless functions and their associated services locally.
This is a hands on workshop where we build a real time serverles polling application that can easily scale to millions of request with no extra configuration. This is built using AWS Amplify, AWS AppSync and DynamoDB
Building a completely serverless restaurant rating app - 'Tomato Restaurant Rating' app using AWS services - Lambda, API Gateway, DynamoDB, Cognito and servereless framework.
Become Thanos of the LambdaLand: Wield all the Infinity StonesSrushith Repakula
This document discusses how to wield the Infinity Stones of serverless computing on AWS Lambda to optimize performance and costs. It provides tips for reducing code size and duplication using Lambda layers to wield the Space Stone. It recommends building "nano-services" instead of "monoliths" and using code orchestration like Step Functions to wield the Mind Stone. Metrics are given on how memory size and amount of code affects cold start times and costs to wield the Time and Power Stones. Design principles are outlined for concurrency, failures, and cloud-native design to wield the Soul and Reality Stones.
The document discusses serverless architectures and function as a service (FaaS) platforms, providing examples of using Apache OpenWhisk to run Python code that retweets tweets containing a hashtag in response to events and discussing how serverless architectures can be used to build chatbots that integrate with services like Amazon Lex. It also outlines some of the benefits of serverless platforms like AWS Lambda in allowing developers to run code without managing servers and only paying for the compute time used.
Lambda land: Running a serverless ticketing platform for less than $2 a monthSrushith Repakula
The presentation covers the various aspects involved in a ticketing platform, architectural design decisions made, discussing the pros and cons of the decisions while considering various factors like cost, scalability, performance and security etc.
An introductory presentation to 'Serverless Technology' presented at India Serverless Summit, Bangalore. It covers three use-cases: Chatbot (BookBot), Real-time processing (TwwetBot) and a Web Application (Quiz).
This document provides an overview of AWS Lambda and serverless computing. It discusses key Lambda features like automatic scaling, integrated security model, and pay per use model. It demonstrates how to develop, deploy and test Lambda functions using the AWS console, SDKs and CLI. The document also covers Lambda execution environment, logging, integration with other AWS services, common use cases and provides a demo of building a Lambda function to auto retweet from Twitter.
UI5con 2024 - Keynote: Latest News about UI5 and it’s EcosystemPeter Muessig
Learn about the latest innovations in and around OpenUI5/SAPUI5: UI5 Tooling, UI5 linter, UI5 Web Components, Web Components Integration, UI5 2.x, UI5 GenAI.
Recording:
https://www.youtube.com/live/MSdGLG2zLy8?si=INxBHTqkwHhxV5Ta&t=0
Flutter is a popular open source, cross-platform framework developed by Google. In this webinar we'll explore Flutter and its architecture, delve into the Flutter Embedder and Flutter’s Dart language, discover how to leverage Flutter for embedded device development, learn about Automotive Grade Linux (AGL) and its consortium and understand the rationale behind AGL's choice of Flutter for next-gen IVI systems. Don’t miss this opportunity to discover whether Flutter is right for your project.
Top 9 Trends in Cybersecurity for 2024.pptxdevvsandy
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Top Benefits of Using Salesforce Healthcare CRM for Patient Management.pdfVALiNTRY360
Salesforce Healthcare CRM, implemented by VALiNTRY360, revolutionizes patient management by enhancing patient engagement, streamlining administrative processes, and improving care coordination. Its advanced analytics, robust security, and seamless integration with telehealth services ensure that healthcare providers can deliver personalized, efficient, and secure patient care. By automating routine tasks and providing actionable insights, Salesforce Healthcare CRM enables healthcare providers to focus on delivering high-quality care, leading to better patient outcomes and higher satisfaction. VALiNTRY360's expertise ensures a tailored solution that meets the unique needs of any healthcare practice, from small clinics to large hospital systems.
For more info visit us https://valintry360.com/solutions/health-life-sciences
UI5con 2024 - Bring Your Own Design SystemPeter Muessig
How do you combine the OpenUI5/SAPUI5 programming model with a design system that makes its controls available as Web Components? Since OpenUI5/SAPUI5 1.120, the framework supports the integration of any Web Components. This makes it possible, for example, to natively embed own Web Components of your design system which are created with Stencil. The integration embeds the Web Components in a way that they can be used naturally in XMLViews, like with standard UI5 controls, and can be bound with data binding. Learn how you can also make use of the Web Components base class in OpenUI5/SAPUI5 to also integrate your Web Components and get inspired by the solution to generate a custom UI5 library providing the Web Components control wrappers for the native ones.
Unveiling the Advantages of Agile Software Development.pdfbrainerhub1
Learn about Agile Software Development's advantages. Simplify your workflow to spur quicker innovation. Jump right in! We have also discussed the advantages.
SOCRadar's Aviation Industry Q1 Incident Report is out now!
The aviation industry has always been a prime target for cybercriminals due to its critical infrastructure and high stakes. In the first quarter of 2024, the sector faced an alarming surge in cybersecurity threats, revealing its vulnerabilities and the relentless sophistication of cyber attackers.
SOCRadar’s Aviation Industry, Quarterly Incident Report, provides an in-depth analysis of these threats, detected and examined through our extensive monitoring of hacker forums, Telegram channels, and dark web platforms.
When it is all about ERP solutions, companies typically meet their needs with common ERP solutions like SAP, Oracle, and Microsoft Dynamics. These big players have demonstrated that ERP systems can be either simple or highly comprehensive. This remains true today, but there are new factors to consider, including a promising new contender in the market that’s Odoo. This blog compares Odoo ERP with traditional ERP systems and explains why many companies now see Odoo ERP as the best choice.
What are ERP Systems?
An ERP, or Enterprise Resource Planning, system provides your company with valuable information to help you make better decisions and boost your ROI. You should choose an ERP system based on your company’s specific needs. For instance, if you run a manufacturing or retail business, you will need an ERP system that efficiently manages inventory. A consulting firm, on the other hand, would benefit from an ERP system that enhances daily operations. Similarly, eCommerce stores would select an ERP system tailored to their needs.
Because different businesses have different requirements, ERP system functionalities can vary. Among the various ERP systems available, Odoo ERP is considered one of the best in the ERp market with more than 12 million global users today.
Odoo is an open-source ERP system initially designed for small to medium-sized businesses but now suitable for a wide range of companies. Odoo offers a scalable and configurable point-of-sale management solution and allows you to create customised modules for specific industries. Odoo is gaining more popularity because it is built in a way that allows easy customisation, has a user-friendly interface, and is affordable. Here, you will cover the main differences and get to know why Odoo is gaining attention despite the many other ERP systems available in the market.
SMS API Integration in Saudi Arabia| Best SMS API ServiceYara Milbes
Discover the benefits and implementation of SMS API integration in the UAE and Middle East. This comprehensive guide covers the importance of SMS messaging APIs, the advantages of bulk SMS APIs, and real-world case studies. Learn how CEQUENS, a leader in communication solutions, can help your business enhance customer engagement and streamline operations with innovative CPaaS, reliable SMS APIs, and omnichannel solutions, including WhatsApp Business. Perfect for businesses seeking to optimize their communication strategies in the digital age.
Malibou Pitch Deck For Its €3M Seed Roundsjcobrien
French start-up Malibou raised a €3 million Seed Round to develop its payroll and human resources
management platform for VSEs and SMEs. The financing round was led by investors Breega, Y Combinator, and FCVC.
Microservice Teams - How the cloud changes the way we workSven Peters
A lot of technical challenges and complexity come with building a cloud-native and distributed architecture. The way we develop backend software has fundamentally changed in the last ten years. Managing a microservices architecture demands a lot of us to ensure observability and operational resiliency. But did you also change the way you run your development teams?
Sven will talk about Atlassian’s journey from a monolith to a multi-tenanted architecture and how it affected the way the engineering teams work. You will learn how we shifted to service ownership, moved to more autonomous teams (and its challenges), and established platform and enablement teams.
E-Invoicing Implementation: A Step-by-Step Guide for Saudi Arabian CompaniesQuickdice ERP
Explore the seamless transition to e-invoicing with this comprehensive guide tailored for Saudi Arabian businesses. Navigate the process effortlessly with step-by-step instructions designed to streamline implementation and enhance efficiency.
How Can Hiring A Mobile App Development Company Help Your Business Grow?ToXSL Technologies
ToXSL Technologies is an award-winning Mobile App Development Company in Dubai that helps businesses reshape their digital possibilities with custom app services. As a top app development company in Dubai, we offer highly engaging iOS & Android app solutions. https://rb.gy/necdnt
4. What are Chatbots and why?
• Chat bots are
computer programs
that mimic
conversation with
people using artificial
intelligence
• They are applications
minus user interface
4
Image source: http://www.practicalecommerce.com/What-Are-Chatbots-
and-How-Do-They-Work
5.
6. How did HelloBot work? - Architecture
User says Hi
Lex understands the
intent, if understood,
invokes lambda and if
not, asks the user to
re-enter
Processes the code
and returns the title
Logs the data
Greetings are sent
back
6Image source: https://aws.amazon.com/lex/
7. Technologies
• Amazon Web Services
– AWS Lex – for Natural Language Processing (NLP)
– AWS Lambda – for the back-end serverless
function(s)
• Python 2.7 – for the serverless function code
– python-amazon-simple-product-api 2.2.11 - A
Python wrapper for the Amazon.com Product
Advertising API (for getting book information from
Amazon)
7