Daden Emerging Technology Seminars - Daden Limited is a Virtual Worlds and artificial intelligence solution provider.
Our focus is on using virtual worlds, and virtual personalities to deliver more efficient and effective enterprise systems, saving our clients money, time and carbon, and delivering better understanding and collaboration.
ChatGPT is a language model created by OpenAI that can carry on conversations, answer questions, and summarize text through natural language generation. It was trained on a large dataset of conversational text from various online sources to understand and generate human-like responses. While ChatGPT can perform tasks like translation, conversation, and summarization, it also has limitations since it may demonstrate biases from its training data and lacks full human-level context and common sense understanding. Users can get started with ChatGPT by signing up on the website and exploring example queries to learn its capabilities and functionality.
This presentation includes - History, Functions, Working, Advancement, Applications, Advantages, Disadvantages, Limitations & Contests Held - of Chatbot Technology.
Chatbots are computer programs designed to simulate conversation with humans over the Internet. Examples include Cortana, Siri, and Eliza, the first chatbot created by Joseph Weizenbaum. Chatbots provide information quickly and efficiently for productivity or entertainment, fueling conversations to avoid loneliness. They are trained using large datasets of conversation logs to understand language and connect questions to answers. While chatbots reduce costs and can handle many users at once, they have limitations in complex conversations and understanding intent. Future chatbots may become more specialized and useful in applications like e-commerce, travel, and events.
The document discusses chat bots and their potential future uses. It notes that apps have already created millions of jobs and bots may be the next step. Bots can perform automated tasks like answering questions or taking orders through messaging apps. Currently, people are using messaging apps more than social networks. The document outlines different types of bots including those that operate through rules-based programming and more advanced bots using machine learning that can understand language. It provides examples of potential bots and services to build bots. It concludes by recommending Cisco leverage chat bots for quick answers, analyzing Facebook messages, and developing future uses in tech support, sales, and communications between companies' bots.
It's the latest buzz word in the world of technology and everybody is talking about them. But what are chatbots really? What do they do apart from...ummm, chatting? And why is every other company suddenly jumping on to the chatbot bandwagon?
If you've been wondering about this new trend, you're not alone. Allow us to guide you through this exciting new world...
The document discusses artificial text chatting machines (chatbots). It provides an overview of chatbots, including their history starting with ELIZA from 1966. Common approaches to developing chatbots include pattern matching and using the Artificial Intelligence Markup Language (AIML). The document outlines some challenges in developing human-like intelligence for chatbots and possibilities for future work, before concluding with a demonstration.
This document outlines a project to design and develop a Sugar CRM bot using Artificial Intelligence Markup Language (AIML). The objective is to create a bot that can answer questions about Sugar CRM. It will be implemented as both a desktop and web application using programming languages like AIML, Python, and Adobe Flex. An automatic AIML generation tool will also be developed to ease the creation of AIML files. The source code for the project is available online for checkout and demonstration.
This document describes the development of a chatbot application using Python to answer queries about a college. It discusses the existing system of students having to visit the college in person to ask questions, and the limitations thereof. The proposed chatbot system allows students to get college information by chatting with the bot through text. The document outlines the modules, design, and functioning of the chatbot, including its ability to understand natural language queries and provide relevant answers from its database. It concludes discussing the benefits of chatbots and potential for future improvements.
The document discusses implementing chatbots using deep learning. It begins by defining what a chatbot is and listing some popular existing chatbots. It then describes two types of chatbot models - retrieval-based models which use predefined responses and generative models which continuously learn from conversations. The document focuses on implementing a retrieval-based model using the Ubuntu Dialog Corpus dataset and a dual encoder LSTM network model in TensorFlow. It outlines the preprocessing, model architecture, creating input functions, training, evaluating, and making predictions with the trained model.
Chat GPT is an AI chatbot system released by OpenAI in November 2022 that can answer questions using its vast database of internet text. It was trained using reinforcement learning from human feedback on 570GB of text. While Chat GPT can be helpful, it has limitations like occasionally providing incorrect answers and having a limit of 60-70 questions per hour. It marks progress in natural language processing, but still lacks critical thinking skills.
ChatGPT is a natural language processing model created by OpenAI that can generate human-like responses to text-based conversations. It uses deep learning and was pre-trained on vast amounts of text to understand language. Performance is evaluated using metrics like perplexity, accuracy, fluency and human evaluation. There are ethical concerns around copyright, personal data, bias and how the training data was obtained. OpenAI has introduced a paid ChatGPT Plus subscription with additional features while maintaining the free version.
ChatGPT is a chatbot developed by OpenAI that was launched in November 2022 and can answer questions across many domains using its training on 570GB of internet text data. It works by taking user questions and searching its database to provide quick answers, and allows users to provide feedback to continuously update its knowledge. While ChatGPT can give personalized responses and detailed answers freely, limitations include its potential to reduce human creativity, the risk of believing incorrect answers, its current support only for English, and its inability to answer all questions due to ending its training in March 2022.
Using Machine Learning and Chatbots to handle 1st line Technical Support
This document discusses using machine learning and chatbots to handle first line technical support. It begins with an introduction to the speaker and agenda. It then provides an overview of what chatbots are, including definitions and examples. Common uses of chatbots for customer service and technical support are described. The typical architecture of a chatbot is outlined. Popular chatbot platforms are listed. An example use case of an "IT Crowd Answering Machine" chatbot is demonstrated. The document discusses using natural language processing and classification models to apply artificial intelligence to chatbots. It shows how this can be done using tools like LUIS and the Bot Framework. Challenges of training chatbots and correctly classifying user inputs are also mentioned.
This document provides an overview of Chat GPT, an AI tool launched in November 2022 by OpenAI. It discusses that Chat GPT allows for conversational dialogues and aims to give accurate answers while admitting mistakes. The document notes that Chat GPT was trained on huge amounts of online text data to generate human-like responses. Potential uses of Chat GPT discussed include powering virtual customer service agents, personal assistants, social media moderation, and improving machine translation.
*adding English description
This slide is about the overview of a chatbot and a trend of the shift of "messenger as a platform" or "messenger as the new UI".
As Facebook unveiled that they opened their chatbot capability to the public at previous f8, a movement of chatbot (w/ AI) would be gaining traction. aligned with this, what would happen and/or what would impact on existing market.
f8を前にして、facebookの動きが色々と噂されているようだが、メッセンジャー周りの今の動きをまとめてみた。
特にbot x AIや"messenger as a platform"としての動きなど大きな流れに特化。詳細は追々やっていこうと思う。
A chatbot is a program that interacts with users through chat interfaces like messaging apps. Chatbots are simple and inexpensive to develop and deploy, and allow asynchronous notifications and integration with teams. To build a chatbot, you define a grammar for commands, program actions for the bot to take, and define how it will return results to the user. Advanced features include integrating webhooks and slash commands for more capabilities. Security measures like restricting commands and using tokens are also important to implement.
This document discusses the growing trend of chatbots and artificial intelligence assistants. It notes that major tech entrepreneurs like Mark Zuckerberg and Elon Musk have expressed interest in AI. While Musk sees AI as a potential threat, Zuckerberg wants to create an AI assistant for home use. The document outlines how chatbots use technologies like natural language processing and machine learning. It provides examples of chatbots being used in applications like customer service, human resources, and scheduling. In conclusion, the document predicts that AI assistant and chatbot applications will continue growing in both enterprise and consumer spaces.
Cognitive architecture aims to model human cognition through computational processes that account for perception, reasoning, learning, and other cognitive functions. It proposes blueprint models for intelligent agents and artificial consciousness. Key aspects of cognitive architectures include modeling multiple aspects of cognition through a unified theory, accounting for limitations in human cognition, and demonstrating robust and flexible behavior over time through learning.
Este documento presenta un juego de preguntas y respuestas sobre vehículos, armas y entretenimiento, donde el jugador puede ganar un millón de dólares al responder correctamente. El jugador es presentado con 10 preguntas múltiples con 4 opciones cada una sobre temas como autos, motos, aviones, helicópteros, videojuegos y series de televisión. Al final se indica que el jugador ganó el millón de dólares al responder todas las preguntas correctamente.
The document discusses different types of chatbots including purposeless mimicry agents that respond based on example data, intention-based agents that identify user intents and take corresponding actions, and conversational agents that understand natural language through techniques like sequence-to-sequence models, context free grammars, and compositional semantics to determine intent. It also covers challenges like understanding ambiguous language through context and prosody rather than just words. The document provides examples and code resources for building various types of chatbots.
O documento descreve a trajetória profissional de Filipe Fonseca, que atualmente trabalha com chatbots, criando soluções de automação de comunicação para empresas. Ele tem 9 anos de experiência em desenvolvimento mobile e web e é pós-graduado em Design de Interação.
Fernando mentor-sucesso-universidade-polishop-ciclo-do-sucesso-110519084826-p...
Este documento fornece orientações sobre como construir um negócio de sucesso por meio de 8 etapas: 1) convidar contatos, 2) mostrar o plano de negócios, 3) acompanhar os novos membros, 4) buscar conselhos dos líderes, 5) ensinar as outras pessoas as 8 etapas, e 6) duplicar o processo para crescer a rede de forma exponencial. O documento também discute armadilhas comuns de iniciantes e como definir metas claras.
Tendências para 2018 aprendidas em 271 palestras da #SMWSP
Este documento resume as principais tendências e tecnologias discutidas no evento RD Summit Tendências 2018, como chatbots, inteligência artificial, realidade virtual e influenciadores digitais. É fornecido conselhos sobre como as empresas podem começar a explorar essas áreas, além de links para cursos e empresas especializadas. O documento também mostra que a maioria dos participantes pretende continuar investindo nessas tecnologias em 2018.
This presentation illustrates the new trend of Bots (chatbots) from an enterprise perspective. The content covers some of the key bot platforms in the market such as Microsoft Bot Framework, Facebook Messenger, Telegram, Kik and others.
The document discusses Adobe's vision for Customer Experience Management (CEM) by integrating Adobe and Day assets to optimize the customer experience across channels. It highlights challenges in current customer experiences and what customers want. It then outlines Adobe's CEM vision and how content and applications can be integrated on the platform.
Daden Emerging Technology Seminar - Daden Limited is a Virtual Worlds and artificial intelligence solution provider.
Our focus is on using virtual worlds, and virtual personalities to deliver more efficient and effective enterprise systems, saving our clients money, time and carbon, and delivering better understanding and collaboration.
Daden Emerging Technology Seminars - Daden Limited is a Virtual Worlds and artificial intelligence solution provider.
Our focus is on using virtual worlds, and virtual personalities to deliver more efficient and effective enterprise systems, saving our clients money, time and carbon, and delivering better understanding and collaboration.
Driving Social Business from the Cloud with SugarCRM on IBM LotusLive
Learn how the SugarCRM integration with LotusLive drives social business and brings you "CRM Made Social."
Get first hand insight on how this integration will benefit your organization and see how you can get started with SugarCRM and LotusLive today.
BDI Systems provides ethics and compliance training. It emphasizes that ethical business conduct builds customer trust, employee morale and avoids legal issues. The document introduces BDI Systems' capabilities including SAP BI, web development, mobile apps, and their product Nividh, an innovative BI tool. It outlines their key customers, partners, and leadership team. BDI Systems is a growing organization focused on technology services and products.
This document provides an overview of chatbots, including: definitions of chatbots, the history of chatbots beginning in the 1960s, problems with current chatbot scenarios, educational and system requirements for developing chatbots, how chatbots work, types of chatbots, principles of chatbot design, data flow diagrams and ER diagrams related to chatbots, chatbot architecture, advantages and disadvantages of chatbots compared to humans, examples of successful chatbots, applications and limitations of chatbots, and conclusions. It also includes an index of topics covered and references related to chatbot design.
The document discusses and compares three open source platforms for building chatbots: Dialogflow, Snatchbot, and Chatfuel. Dialogflow is highlighted as having powerful machine learning and natural language processing capabilities. Snatchbot's visual editor allows for pre-defined templates but has less robust NLP than Dialogflow. Chatfuel provides contact history, customization, and third party integrations, but has limited NLP and support for complex conversations. Overall, Dialogflow is positioned as best for natural conversations while the others have more limitations.
ChatGPT is a language model created by OpenAI that can carry on conversations, answer questions, and summarize text through natural language generation. It was trained on a large dataset of conversational text from various online sources to understand and generate human-like responses. While ChatGPT can perform tasks like translation, conversation, and summarization, it also has limitations since it may demonstrate biases from its training data and lacks full human-level context and common sense understanding. Users can get started with ChatGPT by signing up on the website and exploring example queries to learn its capabilities and functionality.
This presentation includes - History, Functions, Working, Advancement, Applications, Advantages, Disadvantages, Limitations & Contests Held - of Chatbot Technology.
Chatbots are computer programs designed to simulate conversation with humans over the Internet. Examples include Cortana, Siri, and Eliza, the first chatbot created by Joseph Weizenbaum. Chatbots provide information quickly and efficiently for productivity or entertainment, fueling conversations to avoid loneliness. They are trained using large datasets of conversation logs to understand language and connect questions to answers. While chatbots reduce costs and can handle many users at once, they have limitations in complex conversations and understanding intent. Future chatbots may become more specialized and useful in applications like e-commerce, travel, and events.
The document discusses chat bots and their potential future uses. It notes that apps have already created millions of jobs and bots may be the next step. Bots can perform automated tasks like answering questions or taking orders through messaging apps. Currently, people are using messaging apps more than social networks. The document outlines different types of bots including those that operate through rules-based programming and more advanced bots using machine learning that can understand language. It provides examples of potential bots and services to build bots. It concludes by recommending Cisco leverage chat bots for quick answers, analyzing Facebook messages, and developing future uses in tech support, sales, and communications between companies' bots.
It's the latest buzz word in the world of technology and everybody is talking about them. But what are chatbots really? What do they do apart from...ummm, chatting? And why is every other company suddenly jumping on to the chatbot bandwagon?
If you've been wondering about this new trend, you're not alone. Allow us to guide you through this exciting new world...
The document discusses artificial text chatting machines (chatbots). It provides an overview of chatbots, including their history starting with ELIZA from 1966. Common approaches to developing chatbots include pattern matching and using the Artificial Intelligence Markup Language (AIML). The document outlines some challenges in developing human-like intelligence for chatbots and possibilities for future work, before concluding with a demonstration.
This document outlines a project to design and develop a Sugar CRM bot using Artificial Intelligence Markup Language (AIML). The objective is to create a bot that can answer questions about Sugar CRM. It will be implemented as both a desktop and web application using programming languages like AIML, Python, and Adobe Flex. An automatic AIML generation tool will also be developed to ease the creation of AIML files. The source code for the project is available online for checkout and demonstration.
This document describes the development of a chatbot application using Python to answer queries about a college. It discusses the existing system of students having to visit the college in person to ask questions, and the limitations thereof. The proposed chatbot system allows students to get college information by chatting with the bot through text. The document outlines the modules, design, and functioning of the chatbot, including its ability to understand natural language queries and provide relevant answers from its database. It concludes discussing the benefits of chatbots and potential for future improvements.
The document discusses implementing chatbots using deep learning. It begins by defining what a chatbot is and listing some popular existing chatbots. It then describes two types of chatbot models - retrieval-based models which use predefined responses and generative models which continuously learn from conversations. The document focuses on implementing a retrieval-based model using the Ubuntu Dialog Corpus dataset and a dual encoder LSTM network model in TensorFlow. It outlines the preprocessing, model architecture, creating input functions, training, evaluating, and making predictions with the trained model.
Chat GPT is an AI chatbot system released by OpenAI in November 2022 that can answer questions using its vast database of internet text. It was trained using reinforcement learning from human feedback on 570GB of text. While Chat GPT can be helpful, it has limitations like occasionally providing incorrect answers and having a limit of 60-70 questions per hour. It marks progress in natural language processing, but still lacks critical thinking skills.
ChatGPT is a natural language processing model created by OpenAI that can generate human-like responses to text-based conversations. It uses deep learning and was pre-trained on vast amounts of text to understand language. Performance is evaluated using metrics like perplexity, accuracy, fluency and human evaluation. There are ethical concerns around copyright, personal data, bias and how the training data was obtained. OpenAI has introduced a paid ChatGPT Plus subscription with additional features while maintaining the free version.
ChatGPT is a chatbot developed by OpenAI that was launched in November 2022 and can answer questions across many domains using its training on 570GB of internet text data. It works by taking user questions and searching its database to provide quick answers, and allows users to provide feedback to continuously update its knowledge. While ChatGPT can give personalized responses and detailed answers freely, limitations include its potential to reduce human creativity, the risk of believing incorrect answers, its current support only for English, and its inability to answer all questions due to ending its training in March 2022.
Using Machine Learning and Chatbots to handle 1st line Technical SupportBarbara Fusinska
This document discusses using machine learning and chatbots to handle first line technical support. It begins with an introduction to the speaker and agenda. It then provides an overview of what chatbots are, including definitions and examples. Common uses of chatbots for customer service and technical support are described. The typical architecture of a chatbot is outlined. Popular chatbot platforms are listed. An example use case of an "IT Crowd Answering Machine" chatbot is demonstrated. The document discusses using natural language processing and classification models to apply artificial intelligence to chatbots. It shows how this can be done using tools like LUIS and the Bot Framework. Challenges of training chatbots and correctly classifying user inputs are also mentioned.
This document provides an overview of Chat GPT, an AI tool launched in November 2022 by OpenAI. It discusses that Chat GPT allows for conversational dialogues and aims to give accurate answers while admitting mistakes. The document notes that Chat GPT was trained on huge amounts of online text data to generate human-like responses. Potential uses of Chat GPT discussed include powering virtual customer service agents, personal assistants, social media moderation, and improving machine translation.
*adding English description
This slide is about the overview of a chatbot and a trend of the shift of "messenger as a platform" or "messenger as the new UI".
As Facebook unveiled that they opened their chatbot capability to the public at previous f8, a movement of chatbot (w/ AI) would be gaining traction. aligned with this, what would happen and/or what would impact on existing market.
f8を前にして、facebookの動きが色々と噂されているようだが、メッセンジャー周りの今の動きをまとめてみた。
特にbot x AIや"messenger as a platform"としての動きなど大きな流れに特化。詳細は追々やっていこうと思う。
A chatbot is a program that interacts with users through chat interfaces like messaging apps. Chatbots are simple and inexpensive to develop and deploy, and allow asynchronous notifications and integration with teams. To build a chatbot, you define a grammar for commands, program actions for the bot to take, and define how it will return results to the user. Advanced features include integrating webhooks and slash commands for more capabilities. Security measures like restricting commands and using tokens are also important to implement.
AI Agent and Chatbot Trends For EnterprisesTeewee Ang
This document discusses the growing trend of chatbots and artificial intelligence assistants. It notes that major tech entrepreneurs like Mark Zuckerberg and Elon Musk have expressed interest in AI. While Musk sees AI as a potential threat, Zuckerberg wants to create an AI assistant for home use. The document outlines how chatbots use technologies like natural language processing and machine learning. It provides examples of chatbots being used in applications like customer service, human resources, and scheduling. In conclusion, the document predicts that AI assistant and chatbot applications will continue growing in both enterprise and consumer spaces.
Cognitive architecture aims to model human cognition through computational processes that account for perception, reasoning, learning, and other cognitive functions. It proposes blueprint models for intelligent agents and artificial consciousness. Key aspects of cognitive architectures include modeling multiple aspects of cognition through a unified theory, accounting for limitations in human cognition, and demonstrating robust and flexible behavior over time through learning.
Este documento presenta un juego de preguntas y respuestas sobre vehículos, armas y entretenimiento, donde el jugador puede ganar un millón de dólares al responder correctamente. El jugador es presentado con 10 preguntas múltiples con 4 opciones cada una sobre temas como autos, motos, aviones, helicópteros, videojuegos y series de televisión. Al final se indica que el jugador ganó el millón de dólares al responder todas las preguntas correctamente.
The document discusses different types of chatbots including purposeless mimicry agents that respond based on example data, intention-based agents that identify user intents and take corresponding actions, and conversational agents that understand natural language through techniques like sequence-to-sequence models, context free grammars, and compositional semantics to determine intent. It also covers challenges like understanding ambiguous language through context and prosody rather than just words. The document provides examples and code resources for building various types of chatbots.
O documento descreve a trajetória profissional de Filipe Fonseca, que atualmente trabalha com chatbots, criando soluções de automação de comunicação para empresas. Ele tem 9 anos de experiência em desenvolvimento mobile e web e é pós-graduado em Design de Interação.
Fernando mentor-sucesso-universidade-polishop-ciclo-do-sucesso-110519084826-p...Vera Rodrigues Prates
Este documento fornece orientações sobre como construir um negócio de sucesso por meio de 8 etapas: 1) convidar contatos, 2) mostrar o plano de negócios, 3) acompanhar os novos membros, 4) buscar conselhos dos líderes, 5) ensinar as outras pessoas as 8 etapas, e 6) duplicar o processo para crescer a rede de forma exponencial. O documento também discute armadilhas comuns de iniciantes e como definir metas claras.
Tendências para 2018 aprendidas em 271 palestras da #SMWSPEdney Souza
Este documento resume as principais tendências e tecnologias discutidas no evento RD Summit Tendências 2018, como chatbots, inteligência artificial, realidade virtual e influenciadores digitais. É fornecido conselhos sobre como as empresas podem começar a explorar essas áreas, além de links para cursos e empresas especializadas. O documento também mostra que a maioria dos participantes pretende continuar investindo nessas tecnologias em 2018.
This presentation illustrates the new trend of Bots (chatbots) from an enterprise perspective. The content covers some of the key bot platforms in the market such as Microsoft Bot Framework, Facebook Messenger, Telegram, Kik and others.
The document discusses Adobe's vision for Customer Experience Management (CEM) by integrating Adobe and Day assets to optimize the customer experience across channels. It highlights challenges in current customer experiences and what customers want. It then outlines Adobe's CEM vision and how content and applications can be integrated on the platform.
Daden Emerging Technology Seminar - Daden Limited is a Virtual Worlds and artificial intelligence solution provider.
Our focus is on using virtual worlds, and virtual personalities to deliver more efficient and effective enterprise systems, saving our clients money, time and carbon, and delivering better understanding and collaboration.
Daden Emerging Technology Seminars - Daden Limited is a Virtual Worlds and artificial intelligence solution provider.
Our focus is on using virtual worlds, and virtual personalities to deliver more efficient and effective enterprise systems, saving our clients money, time and carbon, and delivering better understanding and collaboration.
Driving Social Business from the Cloud with SugarCRM on IBM LotusLiveSugarCRM
Learn how the SugarCRM integration with LotusLive drives social business and brings you "CRM Made Social."
Get first hand insight on how this integration will benefit your organization and see how you can get started with SugarCRM and LotusLive today.
BDI Systems provides ethics and compliance training. It emphasizes that ethical business conduct builds customer trust, employee morale and avoids legal issues. The document introduces BDI Systems' capabilities including SAP BI, web development, mobile apps, and their product Nividh, an innovative BI tool. It outlines their key customers, partners, and leadership team. BDI Systems is a growing organization focused on technology services and products.
Deliver New Customer Experiences Through AI-enabled ChatbotsAmazon Web Services
Chatbots allow companies to mimic human conversations with their customers. Built upon artificial intelligence (AI) and machine learning (ML), they provide instantly available support that is adaptive to user needs and improves with use over time.
Learn how organizations are leveraging this new technology to improve customer engagement by better tailoring their marketing efforts, while at the same time reducing costs and overhead.
Deloitte Digital will showcase their conversational chatbot solution built on Amazon Web Services (AWS) and utilizing Amazon Lex. Discover how companies can rapidly build a proof of concept prior to integrating, launching, and rapidly scaling them to the market.
- Machine translation matters because of the massive growth in content globally and the need for faster translation of more dynamic content.
- Customized machine translation using client data can produce near-human quality translations, especially when combined with human feedback cycles.
- An open collaboration model leveraging linguistic experts and large translation communities can help improve machine translation quality through continuous learning while reducing costs.
This document discusses different analytics tools for marketing and advertising requirements. It compares paid vs free tools and outlines key factors to consider such as business type, legal risks, integration capabilities, service and support offerings. The panel then provides examples from Budget Direct's experience using Omniture tools for cross-channel campaign measurement and leveraging customer data insights. Integration of tools and a focus on innovation is highlighted as important for maximizing ROI and marketing effectiveness.
MIP Lecture - IBM customer experience suite for retail and banking 2.0Max Ardigó 🇦🇷
The document discusses IBM's Customer Experience Suite, a solution for delivering integrated web and multichannel experiences. It provides a unified platform for designing rapid and flexible solutions that ensure more efficiency, governance, and automation of customer-centered multichannel processes in real-time. The suite includes components for social media integration, analytics, collaboration, commerce, and mobile experiences. It allows companies to better engage customers through personalized interactions across multiple online and offline touchpoints.
Sutra Infotech is a leading provider of web-based development and software solutions since 2001. They offer full-cycle web and software development services including conceptualization, design, development, integration and maintenance. Sutra has expertise in various technologies like PHP, ASP.NET, Java Script, MySQL and provides services including web development, mobile apps, IT infrastructure, online marketing and outsourcing. They have successfully delivered over 400 projects for clients and have offices in India, USA and UK.
This document discusses the evolution of productivity tools and SharePoint. It describes how productivity tools have evolved from structured desktop applications to more collaborative and social online applications. It outlines SharePoint's evolution from intranet-focused to more internet-facing and how it has expanded to cover more areas of the business web. Finally, it suggests that organizations need to be ready for change and provides a map of the evolving social and collaborative productivity landscape.
The document discusses a new collaborative software delivery platform that integrates Lotus Connections' social and collaborative capabilities with Rational Team Concert and the Rational Software Development Platform to enable improved collaboration across distributed software development teams and geographies. An example use case is provided that demonstrates how various IBM collaboration tools can be used together to support a social software development process.
Performance Optimisation For Web & Mobileformfunction
Short overview on performance optimisation for web and mobile. Focus on front-end optimisation which is ±90% of most performance related consideration. Put together for conference in July 2009. Apologies to anyone referenced but not credited. Will happily do so on request!
Unica selected DocZone for authoring, managing, translating, and publishing DITA content. Unica used XML/DITA during content production and needed an efficient, scalable solution to facilitate productivity and adherence to these standards.
In this presentation, Mark Hoeber, Unica’s senior manager of technical documentation, illustrates the:
* business challenges that led Unica to select DocZone
* process that Unica followed to implement the DocZone DITA-based environment
* details of the first production run through with DocZone
* metrics that show the impact DocZone made to Unica's environment: increased content re-use, reduced localization costs, faster time-to-market, and higher productivity
The document discusses connected marketing and its importance. It notes that nearly 60% of marketers do not have a social media strategy and 70% feel under-resourced. It promotes the opportunity of a connected marketing strategy. It discusses tactics to empower connected marketing, including testing multi-channel campaigns from a single provider, integrating data and processes across organizations, and measuring effectiveness across connected channels. The presentation by David Daniels focuses on challenges of getting customer attention, the current marketing landscape, and how connected marketing addresses these issues.
The document discusses the evolution of the web from Web 1.0 to Web 2.0. Web 1.0 consisted of standalone websites used for broadcasting information, while Web 2.0 enables user-generated content and collaboration through social media and user participation on the network as a platform. Key aspects of Web 2.0 include delivering continuously updated services, mixing and sharing data across sources, and rich user experiences through participation and network effects.
A creative partnership between virtual reality developers, soundscape specialists, the National Trust, and Bournemouth University worked to develop an immersive 3D simulation of how the ancient Avebury heritage site may have looked and sounded circa 2,300 BCE. The simulation was constructed using lidar data and archaeological information to build the virtual landscape. Sound effects and Neolithic artifacts were also created. The simulation was then made publicly available at Avebury from June to September 2018, with over 700 people experiencing it. Surveys of 388 participants found that responses to the experience did not significantly differ based on demographics like gender or virtual reality experience.
Training and Learning in Virtual EnvironmentsDaden Limited
An introduction to training and learning in immersive 3D and VR, and Daden projects in this space. As used at the Nov 18 ImmerseUK event in Birmingham.
Virtual Reality for Training, Learning, Education and VisualisationDaden Limited
The document discusses virtual reality (VR) technologies and their potential uses for training, learning, collaboration, and visualization. It provides a brief history of VR and describes Daden, a company that specializes in immersive 3D learning and visualization using VR. Examples are given of VR projects created by Daden for education and other sectors. Challenges of VR such as motion sickness, latency, and 2D interfaces are also outlined.
Virtual Reality - The Second Coming of Virtual WorldsDaden Limited
Virtual reality is experiencing a resurgence with the development of new head-mounted displays like the Oculus Rift. However, virtual worlds must first be developed to provide content and places for users to interact within virtual reality. A Delphi exercise from 2011 predicted trends for virtual reality and virtual worlds over the coming years, including the need for easier and more integrated hardware, a balance between user creation and commercial content, and the potential societal and economic impacts. Key issues that will influence the adoption of virtual reality include competition beyond Oculus, the impact of Facebook's acquisition, the development of control devices, managing hype, and avoiding the pitfalls of earlier virtual worlds.
Immersive Learning - A White Paper PresentationDaden Limited
This is a presentation version of our Immersive Learning White Paper, better suited to a quick browse or to share with colleagues with less time on their hands.
Buildingscapes - Immersive Worlds and the Built EnvironmentDaden Limited
This is a presentation version of our white paper on Buildingscapes, - Immersive Worlds for the Built Environment. Working form the specifics of our work on the Library of Birmingham it looks at how immersive models can bring benefits to almost any building project - and save costs.
Library of Birmingham Case Study PresentationDaden Limited
The Library of Birmingham was a £188.8m project to build an iconic new Central Library of Birmingham. In 2010, Daden developed an immersive model - working from architects plans - for use by Library staff to plan the use of the new building and to engage with the community. Daden delivered the immersive build in Dec 2010 and then opened to the public to explore in April 2011, 2 years before the real build was complete.
With our Summer Special Edition Comic you can see and read more about Trainingscapes - our immersive 3D training environments where you can learn by doing.
A slideshare based on our recent white paper looking at the role that 3D technologies might play in building dynamic and information rich whole city models and their contribution to the Smart City agenda
Mobile immersive learning uses powerful tablet devices to provide immersive learning experiences that were previously only available on desktop systems. This allows rich learning environments to be put literally into the hands of learners. Some key benefits include improving understanding through learning by doing in context, enhancing retention through visual and audio cues, and reducing costs by replacing travel with virtual experiences. Effective design of mobile immersive learning focuses on short, self-contained sessions with simple navigation and a strong narrative to maintain engagement despite distractions.
Using Securescape you can provide 360 and 720 degree security for your key installations, sites, premises and locations. For more information:- www.daden.co.uk/securescape
Using 3D visualisations for exercising and infrastructure stress testingDaden Limited
The document discusses how Daden, an immersive technology company, uses virtual reality and 3D simulations to help organizations with infrastructure stress testing, emergency preparedness, and security operations. Specifically, it provides examples of how they have created virtual simulations to help train New York City's emergency responders, plan the layout of the new Library of Birmingham, and allow airport security staff and emergency planners to rehearse scenarios. The document also describes how Daden uses immersive data visualization and links real-time sensor data to their virtual models to help organizations with tasks like social media monitoring, identifying cyber threats, and enhancing security operations.
This document describes Datascape, a 3D immersive data visualization application created by Daden. Datascape allows users to import data from various sources and visualize it in an interactive 3D environment. This overcomes limitations of 2D visualization as it provides additional dimensions to display data attributes and enables easier pattern recognition. Datascape provides tools for data mapping, filtering, grouping and exploring visualized data. Examples shown include line graphs, bar charts, scatter plots and network graphs visualized using Datascape's 3D capabilities.
Training and Education in a Virtual WorldDaden Limited
Daden Emerging Technology Seminar - Training and Education in a Virtual Environment - Guest Speakers, Luke Woodham & Sheetal Kavia from St Georges, University of London talking about their experiences with virtual worlds.
Daden Limited is a Virtual Worlds and artificial intelligence solution provider.
Our focus is on using virtual worlds, and virtual personalities to deliver more efficient and effective enterprise systems, saving our clients money, time and carbon, and delivering better understanding and collaboration.
Daden Emerging Technology Seminar - Introduction to Chatbots & their uses within a business - Guest Speaker John Dowd from University of Wolverhampton talks about Chatbots.
Virtual Worlds as a Socio-Spatial Operating SystemDaden Limited
Virtual worlds have the potential to serve as a flexible platform for various applications beyond just games and simulations. These include skills training, data visualization, remote meetings, and collaboration. The document discusses how building applications as web services allows them to be accessed from any environment, including virtual worlds. This could reduce costs while increasing benefits by providing a single technical platform for various socio-spatial applications. Virtual worlds may function as a socio-spatial operating system in the future.
University Collaboration on AI and Virtual WorldsDaden Limited
Slides given as part of the British Science Festival 2010 about Daden's collaboration with West Midlands universities on virtual worlds and AI research
The document discusses virtual intelligence, which is the intersection of virtual worlds and artificial intelligence. It provides background on virtual worlds and artificial intelligence. It then discusses how virtual worlds provide a unique platform for AI beyond traditional user interfaces by allowing for visual and immersive experiences. It also discusses challenges for AI in virtual worlds like navigation, object identification, and expressing emotions.
Who by: Soulla Stylianou, Client Director, Daden Ltd
Date: 13th April 2010
Where: Be2Camp Fringe Event at BIFM annual conference, London
Description: How virtual worlds like Second Life could be used within the FM industry for training
What's Next Web Development Trends to Watch.pdfSeasiaInfotech2
Explore the latest advancements and upcoming innovations in web development with our guide to the trends shaping the future of digital experiences. Read our article today for more information.
Performance Budgets for the Real World by Tammy EvertsScyllaDB
Performance budgets have been around for more than ten years. Over those years, we’ve learned a lot about what works, what doesn’t, and what we need to improve. In this session, Tammy revisits old assumptions about performance budgets and offers some new best practices. Topics include:
• Understanding performance budgets vs. performance goals
• Aligning budgets with user experience
• Pros and cons of Core Web Vitals
• How to stay on top of your budgets to fight regressions
Paradigm Shifts in User Modeling: A Journey from Historical Foundations to Em...Erasmo Purificato
Slide of the tutorial entitled "Paradigm Shifts in User Modeling: A Journey from Historical Foundations to Emerging Trends" held at UMAP'24: 32nd ACM Conference on User Modeling, Adaptation and Personalization (July 1, 2024 | Cagliari, Italy)
How RPA Help in the Transportation and Logistics Industry.pptxSynapseIndia
Revolutionize your transportation processes with our cutting-edge RPA software. Automate repetitive tasks, reduce costs, and enhance efficiency in the logistics sector with our advanced solutions.
INDIAN AIR FORCE FIGHTER PLANES LIST.pdfjackson110191
These fighter aircraft have uses outside of traditional combat situations. They are essential in defending India's territorial integrity, averting dangers, and delivering aid to those in need during natural calamities. Additionally, the IAF improves its interoperability and fortifies international military alliances by working together and conducting joint exercises with other air forces.
The DealBook is our annual overview of the Ukrainian tech investment industry. This edition comprehensively covers the full year 2023 and the first deals of 2024.
GDG Cloud Southlake #34: Neatsun Ziv: Automating AppsecJames Anderson
The lecture titled "Automating AppSec" delves into the critical challenges associated with manual application security (AppSec) processes and outlines strategic approaches for incorporating automation to enhance efficiency, accuracy, and scalability. The lecture is structured to highlight the inherent difficulties in traditional AppSec practices, emphasizing the labor-intensive triage of issues, the complexity of identifying responsible owners for security flaws, and the challenges of implementing security checks within CI/CD pipelines. Furthermore, it provides actionable insights on automating these processes to not only mitigate these pains but also to enable a more proactive and scalable security posture within development cycles.
The Pains of Manual AppSec:
This section will explore the time-consuming and error-prone nature of manually triaging security issues, including the difficulty of prioritizing vulnerabilities based on their actual risk to the organization. It will also discuss the challenges in determining ownership for remediation tasks, a process often complicated by cross-functional teams and microservices architectures. Additionally, the inefficiencies of manual checks within CI/CD gates will be examined, highlighting how they can delay deployments and introduce security risks.
Automating CI/CD Gates:
Here, the focus shifts to the automation of security within the CI/CD pipelines. The lecture will cover methods to seamlessly integrate security tools that automatically scan for vulnerabilities as part of the build process, thereby ensuring that security is a core component of the development lifecycle. Strategies for configuring automated gates that can block or flag builds based on the severity of detected issues will be discussed, ensuring that only secure code progresses through the pipeline.
Triaging Issues with Automation:
This segment addresses how automation can be leveraged to intelligently triage and prioritize security issues. It will cover technologies and methodologies for automatically assessing the context and potential impact of vulnerabilities, facilitating quicker and more accurate decision-making. The use of automated alerting and reporting mechanisms to ensure the right stakeholders are informed in a timely manner will also be discussed.
Identifying Ownership Automatically:
Automating the process of identifying who owns the responsibility for fixing specific security issues is critical for efficient remediation. This part of the lecture will explore tools and practices for mapping vulnerabilities to code owners, leveraging version control and project management tools.
Three Tips to Scale the Shift Left Program:
Finally, the lecture will offer three practical tips for organizations looking to scale their Shift Left security programs. These will include recommendations on fostering a security culture within development teams, employing DevSecOps principles to integrate security throughout the development
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/07/intels-approach-to-operationalizing-ai-in-the-manufacturing-sector-a-presentation-from-intel/
Tara Thimmanaik, AI Systems and Solutions Architect at Intel, presents the “Intel’s Approach to Operationalizing AI in the Manufacturing Sector,” tutorial at the May 2024 Embedded Vision Summit.
AI at the edge is powering a revolution in industrial IoT, from real-time processing and analytics that drive greater efficiency and learning to predictive maintenance. Intel is focused on developing tools and assets to help domain experts operationalize AI-based solutions in their fields of expertise.
In this talk, Thimmanaik explains how Intel’s software platforms simplify labor-intensive data upload, labeling, training, model optimization and retraining tasks. She shows how domain experts can quickly build vision models for a wide range of processes—detecting defective parts on a production line, reducing downtime on the factory floor, automating inventory management and other digitization and automation projects. And she introduces Intel-provided edge computing assets that empower faster localized insights and decisions, improving labor productivity through easy-to-use AI tools that democratize AI.
UiPath Community Day Kraków: Devs4Devs ConferenceUiPathCommunity
We are honored to launch and host this event for our UiPath Polish Community, with the help of our partners - Proservartner!
We certainly hope we have managed to spike your interest in the subjects to be presented and the incredible networking opportunities at hand, too!
Check out our proposed agenda below 👇👇
08:30 ☕ Welcome coffee (30')
09:00 Opening note/ Intro to UiPath Community (10')
Cristina Vidu, Global Manager, Marketing Community @UiPath
Dawid Kot, Digital Transformation Lead @Proservartner
09:10 Cloud migration - Proservartner & DOVISTA case study (30')
Marcin Drozdowski, Automation CoE Manager @DOVISTA
Pawel Kamiński, RPA developer @DOVISTA
Mikolaj Zielinski, UiPath MVP, Senior Solutions Engineer @Proservartner
09:40 From bottlenecks to breakthroughs: Citizen Development in action (25')
Pawel Poplawski, Director, Improvement and Automation @McCormick & Company
Michał Cieślak, Senior Manager, Automation Programs @McCormick & Company
10:05 Next-level bots: API integration in UiPath Studio (30')
Mikolaj Zielinski, UiPath MVP, Senior Solutions Engineer @Proservartner
10:35 ☕ Coffee Break (15')
10:50 Document Understanding with my RPA Companion (45')
Ewa Gruszka, Enterprise Sales Specialist, AI & ML @UiPath
11:35 Power up your Robots: GenAI and GPT in REFramework (45')
Krzysztof Karaszewski, Global RPA Product Manager
12:20 🍕 Lunch Break (1hr)
13:20 From Concept to Quality: UiPath Test Suite for AI-powered Knowledge Bots (30')
Kamil Miśko, UiPath MVP, Senior RPA Developer @Zurich Insurance
13:50 Communications Mining - focus on AI capabilities (30')
Thomasz Wierzbicki, Business Analyst @Office Samurai
14:20 Polish MVP panel: Insights on MVP award achievements and career profiling
Are you interested in dipping your toes in the cloud native observability waters, but as an engineer you are not sure where to get started with tracing problems through your microservices and application landscapes on Kubernetes? Then this is the session for you, where we take you on your first steps in an active open-source project that offers a buffet of languages, challenges, and opportunities for getting started with telemetry data.
The project is called openTelemetry, but before diving into the specifics, we’ll start with de-mystifying key concepts and terms such as observability, telemetry, instrumentation, cardinality, percentile to lay a foundation. After understanding the nuts and bolts of observability and distributed traces, we’ll explore the openTelemetry community; its Special Interest Groups (SIGs), repositories, and how to become not only an end-user, but possibly a contributor.We will wrap up with an overview of the components in this project, such as the Collector, the OpenTelemetry protocol (OTLP), its APIs, and its SDKs.
Attendees will leave with an understanding of key observability concepts, become grounded in distributed tracing terminology, be aware of the components of openTelemetry, and know how to take their first steps to an open-source contribution!
Key Takeaways: Open source, vendor neutral instrumentation is an exciting new reality as the industry standardizes on openTelemetry for observability. OpenTelemetry is on a mission to enable effective observability by making high-quality, portable telemetry ubiquitous. The world of observability and monitoring today has a steep learning curve and in order to achieve ubiquity, the project would benefit from growing our contributor community.