IBM Watson overview presented by Mike Pointer, Watson Sr. Solution Architect, at Penn State's Nittany Watson Challenge Immersion event on January 19-20, 2017.
IBM's Watson is a question answering computer system developed by IBM to answer questions posed in natural language. It was named after IBM's founder Thomas J. Watson and was initially created to compete on the game show Jeopardy! where it defeated human champions in 2011. Watson uses advanced natural language processing, semantic analysis, and machine learning to defeat human opponents. It is capable of answering complex questions with nuanced language and is being developed by IBM for commercial applications in fields like healthcare, finance and education.
Aurora provides AI-powered assessments for K-12 education to address the limitations of current solutions. It enables dynamic content creation and personalized assessments at scale through an authoring tool that can generate thousands of high-quality questions per subject from text in seconds. Aurora aims to expand its English language question generation to other subjects and question types while advancing the complexity of the questions. It has several pilots underway with publishers and plans to grow its customer base to include more top publishers and education companies globally.
In this session, you'll get all the answers about how ChatGPT and other GPT-X models can be applied to your current or future project. First, we'll put in order all the terms – OpenAI, GPT-3, ChatGPT, Codex, Dall-E, etc., and explain why Microsoft and Azure are often mentioned in this context. Then, we'll go through the main capabilities of the Azure OpenAI and respective usecases that might inspire you to either optimize your product or build a completely new one.
A modified version of IBM Watson Analytics presentation. It covers its development, history, how it works and screen shot of IBM Watson Analytics Application. The presentation included a sample of a Food Production Index of the Philippines from 1999 to 2013 Analytics presentation conducted at Asia Pacific College, Manila, Philippines. The report was used in Advance Emerging Technology class at the University of the East, Manila, Philippines.
This document discusses Peter Purgathofer's presentation on chatGPT and the implications of conversational AI. It includes sections on Ludwig Wittgenstein's work at TU Wien, a worksheet, and a comparison of two abstracts. The document concludes with a question about where current conversational AI technology falls in relation to future progress.
This document summarizes a webinar about how chatbots are transforming enterprises. The speaker, Aaron Wojton, is a consultant at Techedge Group with expertise in programming, Python, and SAP HANA. The webinar discusses how conversational AI platforms are becoming a major new computing paradigm and how chatbots are being adopted by many businesses and seeing increasing usage. Examples of enterprise chatbot use cases include retail, sales, customer service, and HR/travel/recruiting. The webinar then reviews the process of implementing an enterprise chatbot through design, development, training, and go-live phases.
Google Cloud GenAI Overview_071223.pptxVishPothapu
This document provides an overview of Google's generative AI offerings. It discusses large language models (LLMs) and what is possible with generative AI on Google Cloud, including Google's offerings like Vertex AI, Generative AI App Builder, and Foundation Models. It also discusses how enterprises can access, customize and deploy large models through Google Cloud to build innovative applications.
IBM Watson overview presented by Mike Pointer, Watson Sr. Solution Architect, at Penn State's Nittany Watson Challenge Immersion event on January 19-20, 2017.
IBM's Watson is a question answering computer system developed by IBM to answer questions posed in natural language. It was named after IBM's founder Thomas J. Watson and was initially created to compete on the game show Jeopardy! where it defeated human champions in 2011. Watson uses advanced natural language processing, semantic analysis, and machine learning to defeat human opponents. It is capable of answering complex questions with nuanced language and is being developed by IBM for commercial applications in fields like healthcare, finance and education.
Aurora provides AI-powered assessments for K-12 education to address the limitations of current solutions. It enables dynamic content creation and personalized assessments at scale through an authoring tool that can generate thousands of high-quality questions per subject from text in seconds. Aurora aims to expand its English language question generation to other subjects and question types while advancing the complexity of the questions. It has several pilots underway with publishers and plans to grow its customer base to include more top publishers and education companies globally.
In this session, you'll get all the answers about how ChatGPT and other GPT-X models can be applied to your current or future project. First, we'll put in order all the terms – OpenAI, GPT-3, ChatGPT, Codex, Dall-E, etc., and explain why Microsoft and Azure are often mentioned in this context. Then, we'll go through the main capabilities of the Azure OpenAI and respective usecases that might inspire you to either optimize your product or build a completely new one.
A modified version of IBM Watson Analytics presentation. It covers its development, history, how it works and screen shot of IBM Watson Analytics Application. The presentation included a sample of a Food Production Index of the Philippines from 1999 to 2013 Analytics presentation conducted at Asia Pacific College, Manila, Philippines. The report was used in Advance Emerging Technology class at the University of the East, Manila, Philippines.
This document discusses Peter Purgathofer's presentation on chatGPT and the implications of conversational AI. It includes sections on Ludwig Wittgenstein's work at TU Wien, a worksheet, and a comparison of two abstracts. The document concludes with a question about where current conversational AI technology falls in relation to future progress.
This document summarizes a webinar about how chatbots are transforming enterprises. The speaker, Aaron Wojton, is a consultant at Techedge Group with expertise in programming, Python, and SAP HANA. The webinar discusses how conversational AI platforms are becoming a major new computing paradigm and how chatbots are being adopted by many businesses and seeing increasing usage. Examples of enterprise chatbot use cases include retail, sales, customer service, and HR/travel/recruiting. The webinar then reviews the process of implementing an enterprise chatbot through design, development, training, and go-live phases.
Google Cloud GenAI Overview_071223.pptxVishPothapu
This document provides an overview of Google's generative AI offerings. It discusses large language models (LLMs) and what is possible with generative AI on Google Cloud, including Google's offerings like Vertex AI, Generative AI App Builder, and Foundation Models. It also discusses how enterprises can access, customize and deploy large models through Google Cloud to build innovative applications.
22 3 2022 - AI & Marketing - Commpass - Hugues Rey Hugues Rey
AI is moving marketing from the traditional 4Ps to S.A.V.EEE by powering hyper-personalization.
The 4Ps of product, place, price and promotion are shifting to focus on service, access, value and unique engagement through experience and relationships. AI is helping move marketing from discrete transactions to ongoing customer relationships.
AI enables this shift by powering recommendations, demand prediction, churn prevention and content generation at massive scale. It also facilitates more personalized pricing, optimized digital experiences and targeted promotions. Overall, AI is allowing marketing to become more data-driven, automated and focused on individual consumer needs and behaviors.
Exploring Opportunities in the Generative AI Value Chain.pdfDung Hoang
The article "Exploring Opportunities in the Generative AI Value Chain" by McKinsey & Company's QuantumBlack provides insights into the value created by generative artificial intelligence (AI) and its potential applications.
Case Study: Open Banking, APIs and Digital Transformation—the Banco Original ...CA Technologies
This document summarizes a presentation given by Guga Stocco of Banco Original and David Bressler of CA Technologies about digital transformation in banking. The presentation discusses how focusing on customer experience can drive successful digital transformation. It also shares the story of how Banco Original embraced open banking by utilizing APIs to rethink what it means to be a bank and provide a frictionless customer experience. The presentation covers topics like fintech innovation, mobile and agile strategies, and how platforms can inform customer experiences.
Artificial Intelligence In The Workplace: How AI Is Transforming Your Employe...Bernard Marr
Artificial Intelligence (AI) is augmenting our workplaces and transforming the employee experience. In this article, we look at what this means in practice and explore practical examples, benefits, and drawbacks.
AI and Data Science Revolutionizing Industries and Shaping the Future
The document discusses how rapid advancements in artificial intelligence are disrupting industries globally. It outlines key developments in AI's history and applications that are streamlining tasks through automation, enabling personalized experiences and improved customer service, and poised to revolutionize healthcare. However, as AI becomes more prevalent, ethical and regulatory challenges also emerge regarding data privacy, bias, and other implications. The future potential of AI is limitless as it transforms additional sectors like transportation, education, energy, and the environment through applications such as autonomous vehicles.
This document outlines a campaign to mobilize youth for entrepreneurial ventures in Pakistan. It discusses establishing entrepreneurship programs and activities like surveys, lectures, and camps to encourage fresh graduates to start their own businesses rather than only seeking jobs. The campaign aims to raise awareness of entrepreneurship opportunities and support like loan schemes available from banks. Its goals are to motivate 30% of students to choose entrepreneurship and start businesses within six months. Recommendations include mentoring support from community organizations and improving youth access to vocational training and financing.
Some Preliminary Thoughts on Artificial Intelligence - April 20, 2023.pdfKent Bye
Bye, K. (2023, April 20). Some Preliminary Thoughts on Artificial Intelligence. [Presentation] The King Library Experiential Virtual Reality Lab (KLEVR) Tech Talks: AI Tools, Tips, & Traps; San Jose State University, San Jose, California via Zoom.
How to create a successful proof of conceptETLSolutions
To create a successful proof of concept (POC), one must:
1. Explore the business reasons for needing the software and how it will improve processes.
2. Understand the customer's requirements and expectations for the final product.
3. Clarify logistics such as locations, timings, and access needed for the POC.
ChatGPT is an AI assistant created by OpenAI to have natural conversations. It was trained on a large text dataset to recognize patterns and generate responses in different styles. Since its release, ChatGPT has gained over 1 million users in its first week and demonstrated abilities like answering follow-up questions, admitting mistakes, and rejecting inappropriate requests. While ChatGPT shows promise for more human-like conversations, experts note it still has limitations like potential for incorrect answers and bias issues due to limitations in its training data.
Harnessing the power of AI to supercharge the Customer Experience. For the event: AI, Data, and CRM: Shaping Business through Unique Experiences. By George Aspiotis
Gartner provides webinars on various topics related to technology. This webinar discusses generative AI, which refers to AI techniques that can generate new unique artifacts like text, images, code, and more based on training data. The webinar covers several topics related to generative AI, including its use in novel molecule discovery, AI avatars, and automated content generation. It provides examples of how generative AI can benefit various industries and recommendations for organizations looking to utilize this emerging technology.
This document discusses using generative AI and UiPath together for automating processes. It begins with an introduction to UiPath and generative AI powered automations. It then outlines three patterns for building generative AI powered automations using UiPath: reader/writer, analyst/doer, and assistant. Several example use cases are provided for each pattern. The document concludes with a discussion of upcoming Dev Dives webinars and a UiPath/Hyper Automation hackathon.
Business intelligence capabilities can empower organizations by providing real-time insights into business data. BI tools allow users to access and analyze big data through dashboards, reports, data visualization and predictive analytics. This helps users make faster, more informed decisions to improve performance and business outcomes. A BI platform can increase responsiveness, reduce costs and drive better decision making by providing flexible, self-service access to decision-ready intelligence on any device.
Jerry Chen, partner at Greylock and former VP of Cloud and Application Services at VMware, shares his Unit of Value framework for startups building a go-to-market strategy. He developed this strategy while managing product and marketing teams at VMware that shipped many “1.0” releases, including VMware VDI, Cloud Foundry, and vFabric, and continues to use the framework to evaluate companies as an investor.
1. The document analyzes several major Indian IT companies, including Infosys, Wipro, and Satyam. It provides financial analyses for the years 2004-2005, showing growth in revenues, profits, and market valuation for these companies.
2. Key metrics like net profit margins, current ratios, debt ratios, and returns on equity increased for most companies over this period, indicating strong financial performance. Infosys in particular saw a 53% jump in net profits.
3. SWOT analyses identify the companies' strengths in technical expertise and opportunities in new markets, while weaknesses include attrition and threats from increased competition from other global IT firms.
Chat GPT is a natural language processing model that can be integrated into UiPath automation workflows to enable human-like conversations between robots and humans. In this event, we will discuss how to implement Chat GPT in UiPath studio workflows.
In this session we will cover:
Introduction ChatGPT
ChatGPT API configuration in UiPath
Demo and workshop on how to use ChatGPT in UiPath Studio
The document discusses the use of generative AI in healthcare. It defines generative AI as technology that can generate diverse content like images, text, and audio. Generative AI uses neural networks to identify patterns in data and generate new content. It has various applications in healthcare like drug discovery, medical imaging, disease diagnosis, and medical research. The document outlines several use cases of generative AI and factors driving its growth in healthcare. It predicts generative AI will continue transforming healthcare by advancing precision medicine, speeding innovation, and improving disease diagnosis and drug discovery. Overall, the document provides an overview of generative AI applications and potential in the healthcare industry.
Artificial intelligence (AI) is the ability of a computer or a robot controlled by a computer to do tasks that are usually done by humans because they require human intelligence and discernment.
The field was founded on the assumption that human intelligence "can be so precisely described that a machine can be made to simulate it".
This raises philosophical arguments about the mind and the ethics of creating artificial beings endowed with human-like intelligence.
Watson is an AI system created by IBM to answer questions. It uses natural language processing and is capable of answering questions posed in natural language, by analyzing large amounts of data. Watson is made up of a cluster of IBM servers and can process 500 gigabytes of data per second. While Watson has advantages over humans in processing speed and memory, it still lacks full understanding of context. Future applications of Watson's question answering abilities include use in healthcare for clinical decision support.
Outlines Watson accomplishments in 2012 and new products announced in early 2013. THIS DOCUMENT IS PROVIDED FOR REFERENCE PURPOSES ONLY. IBM RESERVES THE RIGHTS TO MAKE CHANGES TO THIS EVOLVING PORTFOLIO.
22 3 2022 - AI & Marketing - Commpass - Hugues Rey Hugues Rey
AI is moving marketing from the traditional 4Ps to S.A.V.EEE by powering hyper-personalization.
The 4Ps of product, place, price and promotion are shifting to focus on service, access, value and unique engagement through experience and relationships. AI is helping move marketing from discrete transactions to ongoing customer relationships.
AI enables this shift by powering recommendations, demand prediction, churn prevention and content generation at massive scale. It also facilitates more personalized pricing, optimized digital experiences and targeted promotions. Overall, AI is allowing marketing to become more data-driven, automated and focused on individual consumer needs and behaviors.
Exploring Opportunities in the Generative AI Value Chain.pdfDung Hoang
The article "Exploring Opportunities in the Generative AI Value Chain" by McKinsey & Company's QuantumBlack provides insights into the value created by generative artificial intelligence (AI) and its potential applications.
Case Study: Open Banking, APIs and Digital Transformation—the Banco Original ...CA Technologies
This document summarizes a presentation given by Guga Stocco of Banco Original and David Bressler of CA Technologies about digital transformation in banking. The presentation discusses how focusing on customer experience can drive successful digital transformation. It also shares the story of how Banco Original embraced open banking by utilizing APIs to rethink what it means to be a bank and provide a frictionless customer experience. The presentation covers topics like fintech innovation, mobile and agile strategies, and how platforms can inform customer experiences.
Artificial Intelligence In The Workplace: How AI Is Transforming Your Employe...Bernard Marr
Artificial Intelligence (AI) is augmenting our workplaces and transforming the employee experience. In this article, we look at what this means in practice and explore practical examples, benefits, and drawbacks.
AI and Data Science Revolutionizing Industries and Shaping the Future
The document discusses how rapid advancements in artificial intelligence are disrupting industries globally. It outlines key developments in AI's history and applications that are streamlining tasks through automation, enabling personalized experiences and improved customer service, and poised to revolutionize healthcare. However, as AI becomes more prevalent, ethical and regulatory challenges also emerge regarding data privacy, bias, and other implications. The future potential of AI is limitless as it transforms additional sectors like transportation, education, energy, and the environment through applications such as autonomous vehicles.
This document outlines a campaign to mobilize youth for entrepreneurial ventures in Pakistan. It discusses establishing entrepreneurship programs and activities like surveys, lectures, and camps to encourage fresh graduates to start their own businesses rather than only seeking jobs. The campaign aims to raise awareness of entrepreneurship opportunities and support like loan schemes available from banks. Its goals are to motivate 30% of students to choose entrepreneurship and start businesses within six months. Recommendations include mentoring support from community organizations and improving youth access to vocational training and financing.
Some Preliminary Thoughts on Artificial Intelligence - April 20, 2023.pdfKent Bye
Bye, K. (2023, April 20). Some Preliminary Thoughts on Artificial Intelligence. [Presentation] The King Library Experiential Virtual Reality Lab (KLEVR) Tech Talks: AI Tools, Tips, & Traps; San Jose State University, San Jose, California via Zoom.
How to create a successful proof of conceptETLSolutions
To create a successful proof of concept (POC), one must:
1. Explore the business reasons for needing the software and how it will improve processes.
2. Understand the customer's requirements and expectations for the final product.
3. Clarify logistics such as locations, timings, and access needed for the POC.
ChatGPT is an AI assistant created by OpenAI to have natural conversations. It was trained on a large text dataset to recognize patterns and generate responses in different styles. Since its release, ChatGPT has gained over 1 million users in its first week and demonstrated abilities like answering follow-up questions, admitting mistakes, and rejecting inappropriate requests. While ChatGPT shows promise for more human-like conversations, experts note it still has limitations like potential for incorrect answers and bias issues due to limitations in its training data.
Harnessing the power of AI to supercharge the Customer Experience. For the event: AI, Data, and CRM: Shaping Business through Unique Experiences. By George Aspiotis
Gartner provides webinars on various topics related to technology. This webinar discusses generative AI, which refers to AI techniques that can generate new unique artifacts like text, images, code, and more based on training data. The webinar covers several topics related to generative AI, including its use in novel molecule discovery, AI avatars, and automated content generation. It provides examples of how generative AI can benefit various industries and recommendations for organizations looking to utilize this emerging technology.
This document discusses using generative AI and UiPath together for automating processes. It begins with an introduction to UiPath and generative AI powered automations. It then outlines three patterns for building generative AI powered automations using UiPath: reader/writer, analyst/doer, and assistant. Several example use cases are provided for each pattern. The document concludes with a discussion of upcoming Dev Dives webinars and a UiPath/Hyper Automation hackathon.
Business intelligence capabilities can empower organizations by providing real-time insights into business data. BI tools allow users to access and analyze big data through dashboards, reports, data visualization and predictive analytics. This helps users make faster, more informed decisions to improve performance and business outcomes. A BI platform can increase responsiveness, reduce costs and drive better decision making by providing flexible, self-service access to decision-ready intelligence on any device.
Jerry Chen, partner at Greylock and former VP of Cloud and Application Services at VMware, shares his Unit of Value framework for startups building a go-to-market strategy. He developed this strategy while managing product and marketing teams at VMware that shipped many “1.0” releases, including VMware VDI, Cloud Foundry, and vFabric, and continues to use the framework to evaluate companies as an investor.
1. The document analyzes several major Indian IT companies, including Infosys, Wipro, and Satyam. It provides financial analyses for the years 2004-2005, showing growth in revenues, profits, and market valuation for these companies.
2. Key metrics like net profit margins, current ratios, debt ratios, and returns on equity increased for most companies over this period, indicating strong financial performance. Infosys in particular saw a 53% jump in net profits.
3. SWOT analyses identify the companies' strengths in technical expertise and opportunities in new markets, while weaknesses include attrition and threats from increased competition from other global IT firms.
Chat GPT is a natural language processing model that can be integrated into UiPath automation workflows to enable human-like conversations between robots and humans. In this event, we will discuss how to implement Chat GPT in UiPath studio workflows.
In this session we will cover:
Introduction ChatGPT
ChatGPT API configuration in UiPath
Demo and workshop on how to use ChatGPT in UiPath Studio
The document discusses the use of generative AI in healthcare. It defines generative AI as technology that can generate diverse content like images, text, and audio. Generative AI uses neural networks to identify patterns in data and generate new content. It has various applications in healthcare like drug discovery, medical imaging, disease diagnosis, and medical research. The document outlines several use cases of generative AI and factors driving its growth in healthcare. It predicts generative AI will continue transforming healthcare by advancing precision medicine, speeding innovation, and improving disease diagnosis and drug discovery. Overall, the document provides an overview of generative AI applications and potential in the healthcare industry.
Artificial intelligence (AI) is the ability of a computer or a robot controlled by a computer to do tasks that are usually done by humans because they require human intelligence and discernment.
The field was founded on the assumption that human intelligence "can be so precisely described that a machine can be made to simulate it".
This raises philosophical arguments about the mind and the ethics of creating artificial beings endowed with human-like intelligence.
Watson is an AI system created by IBM to answer questions. It uses natural language processing and is capable of answering questions posed in natural language, by analyzing large amounts of data. Watson is made up of a cluster of IBM servers and can process 500 gigabytes of data per second. While Watson has advantages over humans in processing speed and memory, it still lacks full understanding of context. Future applications of Watson's question answering abilities include use in healthcare for clinical decision support.
Outlines Watson accomplishments in 2012 and new products announced in early 2013. THIS DOCUMENT IS PROVIDED FOR REFERENCE PURPOSES ONLY. IBM RESERVES THE RIGHTS TO MAKE CHANGES TO THIS EVOLVING PORTFOLIO.
IBM Watson: How it Works, and What it means for Society beyond winning Jeopardy!Tony Pearson
Here are some key facts about conjunctivitis (pinkeye):
- Conjunctivitis, commonly known as pinkeye, is inflammation or infection of the transparent membrane (conjunctiva) that lines your eyelid and covers the white part of your eye.
- Common symptoms include redness of the eye, eye discharge (watery or pus-like), itching, burning, or irritation. You may also experience increased tear production, sensitivity to light, and crusting of eyelids after sleep.
- Pinkeye is usually caused by a viral or bacterial infection. Allergies can also cause conjunctivitis.
- Viral conjunctivitis is highly contag
Watson is an artificially intelligent computer system capable of answering questions posed in natural language, developed in IBM's DeepQA project. Watson is a cognitive technology that processes information more like a human than a computer—by understanding natural language, generating hypotheses based on evidence and learning as it goes.
Brief History of IBM Watson
Data and some figures
Watson and transformational technologies
How Watson have improve to became smarter, faster and more scalable
1) Project Tango uses computer vision and motion tracking sensors to enable mobile devices to detect their position and motion in 3D space without relying on GPS or external signals.
2) It contains customized hardware and software that tracks a device's full 3D motion and maps the surrounding environment with 250,000 3D measurements per second.
3) Potential applications include indoor mapping, augmented reality, gaming, and integrating sensor data to extend human perception.
IBM Watson, the cognitive technology that enhances, scales, & accelerates human expertise, is available to anyone through Bluemix, IBM’s PaaS. Watson's cognitive capabilities on Bluemix will enhance apps & help developers realize ideas not possible with today's systems.
Quick test, ask your phone “find anything but pizza restaurants”. Did you get back a list of pizza restaurants? Think about how we’ve been trained to keyword search. We have all been Google-fied & we may not even know it. Humans adapt their language, one that predates machines, to the limitations of a system.
But Watson is not a machine that lets us talk to it. It’s bigger, and that’s why this is a historic moment for developers, businesses & entrepreneurs. IBM is creating tools that can understand language, determine a personality portrait, expand concepts & more. In this session we will discuss & demo Watson Services on Bluemix & how developers can now embed these into their apps for unprecedented cognitive power.
Project Tango is a tablet development kit from Google that adds advanced computer vision, depth sensing, and motion tracking capabilities to Android devices. It uses a specialized camera, depth sensor, and Tegra K1 processor to enable applications like area learning, localization, and 3D reconstruction. Developers can access pose, depth, and area description data through APIs to build augmented reality and mobile visual computing experiences.
Project Tango is a Google platform that uses computer vision and sensors to allow devices like smartphones and tablets to understand their position and orientation in 3D space. It uses technologies like simultaneous localization and mapping (SLAM) along with depth cameras, infrared sensors, and motion sensors to create 3D maps of environments. Applications include indoor navigation, augmented reality gaming, emergency response, and more.
Project Tango is a Google project that uses 3D motion tracking and depth perception to allow devices like smartphones and tablets to know their position relative to their surroundings. At Google I/O in May 2016, Google demonstrated Project Tango's real-time depth perception capabilities. Lenovo then announced the Phab 2 Pro, the first smartphone featuring Project Tango, available for purchase in September 2016 for $499.
Google project tango - Giving mobile devices a human scale understanding of s...Harsha Madusankha
Project Tango is a Google initiative to develop smartphones that can understand 3D space. It uses sensors and computer vision techniques to create 3D maps of environments in real-time. The Project Tango smartphone has motion tracking cameras, an infrared projector, and processors to make over a quarter million 3D measurements per second. This allows the phone to create 3D models of spaces and understand its position within physical environments. Potential applications include indoor mapping, navigation for the visually impaired, augmented reality gaming, and autonomous robotics. Google is working with other companies and universities to develop this technology further.
1) The document discusses various Watson capabilities including microservices for language, speech, vision, and data, as well as embodied cognition. It provides examples of use cases demonstrating speech to text with multiple speakers, a school navigator chatbot, expertise finder, and multimedia enrichment.
2) Live demos are shown for speech to text with diarization, speech to speech translation, a school finder application, and multimedia processing of video and audio.
3) The multimedia enrichment pipeline is described in detail, outlining how video and audio inputs are processed using various Watson APIs to extract metadata like transcripts, entities, keywords, and visual recognition results.
Project Tango is a project by Google that aims to give mobile devices a 3D understanding of space using advanced sensors and computer vision. The Tango prototype is an Android device that tracks its own 3D motion and creates a 3D model of the surrounding environment in real-time. It uses motion tracking, depth perception, and area learning technologies. Potential applications include improved indoor navigation, more efficient shopping, emergency response, augmented reality gaming, and 3D modeling of objects.
Project Tango is a mobile device that uses advanced sensors and computer vision to understand its position and motion in 3D space. It can map indoor environments in 3D and provide indoor navigation assistance. The technology uses infrared and depth sensors to build a detailed depth map of the surrounding space. It has potential applications for indoor mapping, augmented reality gaming, and emergency response. Currently Google is providing early access to developers to explore using the technology.
Deloitte's report and point of view on IBM's Watson. IBM Watson, AI, Cognitive Computing are rapidly evolving technologies that can support and enhance enterprise solutions. Learn about IBM Watson the Why? and the How?
There is no direct cost to be part of the IBM Watson Ecosystem. However, partners may incur the following potential costs:
- Watson Developer Cloud: Partners use the Watson Developer Cloud APIs and services for free up to certain usage limits. Beyond those limits there may be usage based fees.
- Watson Content Store: Some content in the store may require a paid subscription or license fee from the original content provider. However, IBM is working to make as much open and free content available as possible.
- Watson Talent Hub: There is no direct cost for partners to post jobs or search for talent on the Talent Hub.
- Consulting/Services: Partners may work with IBM services to help develop their cognitive solutions,
Presentation of IBM Watson, the components of Watson, how it works and examples of where Watson is being put to use, today. Finally links and information about, how you can get to work with Watson as a software developer.
Presentation given in te conference 'Driving IT' in Copenhagen, November 14, 2014
Building Your Own Watson Powered Application on BluemixIBM
Join Chris Madison and Nathan Vega as we explore Watson services on Bluemix and how developers can harness the services to build the most innovative applications to meet their needs.
Knowledge Engines – Building Smart Applications that Learn #2MecklerMedia
The document describes several Watson Developer Cloud services including Personality Insights, Question and Answer, Speech to Text, Text to Speech, Visual Recognition, Tradeoff Analytics, and mentions additional services like Concept Expansion, Relationship Extraction, and Concept Insights. It provides brief descriptions of what each service is, how it works, and example use cases. Additional links are provided to demo pages for some of the services.
IBM Watson Developer Cloud + IoT @ RoboUniverse 2015IBM
The document provides information on several IBM Watson Developer Cloud services, including Personality Insights, Question and Answer, Speech to Text, Text to Speech, Visual Recognition, Tradeoff Analytics, and additional services like Concept Expansion, Relationship Extraction, and Concept Insights. Each service is briefly described, how it works is explained, and example use cases are given.
Cognitive Computing on the Cloud - Watson services for bluemixSam Garforth
The document discusses IBM's Watson services that are now available on IBM Bluemix. It provides an overview of the Watson services, how developers can access them through their Bluemix account for free during the beta period, and examples of early adopters who have integrated Watson capabilities into their applications. The presentation concludes with an invitation for attendees to get hands on with the Watson services on Bluemix.
Introduction: Watson Services on IBM Bluemix Webcast IBM
Interested in building cognitive apps with IBM Watson on IBM Bluemix? Check out the replay of our Watson webcast available now on IBM Bluemix. Learn how to create a cognitive ecosystem and more.
2106-04-30 - IBM - The Era of the Cognitive Home - for distributionThorsten Schroeer
Cognitive systems can understand, reason, and learn from data in a way that is fundamentally different than previous technologies. The cognitive home uses these capabilities to gain a system-wide understanding of context through connected devices. The IBM Watson IoT platform provides tools to connect devices, analyze data, and build cognitive applications. For example, Miele appliances connected to the platform can receive recipe suggestions from Chef Watson. Overall, cognitive technologies will transform industries like electronics and enable new personalized experiences through applications of understanding, reasoning, and learning from data.
IWE 2480 - An Ecosystem of Innovation: Creating Cognitive Apps Powered by IB...Carmine DiMascio
The document is a keynote presentation about IBM Watson and the IBM Watson ecosystem. Some key points:
1. IBM Watson is a question answering computer system that understands natural language, generates hypotheses, and learns from interactions. It can provide responses with confidence levels and evidence.
2. The IBM Watson ecosystem brings Watson's cognitive capabilities to the cloud through tools, APIs, content stores, and talent hubs. It allows third parties to build cognitive apps powered by Watson.
3. An example app called Watson Films demonstrates how to integrate with Watson using APIs to build an application for getting information about movies from Watson. The app was developed using tools from the IBM Watson ecosystem.
Here are the key ways cognitive computing can help commercial underwriters:
1. Cognitive systems can analyze vast amounts of structured and unstructured data from multiple sources (customer profiles, industry reports, news articles, social media, etc.) to develop a comprehensive risk assessment of each individual customer.
2. By understanding language and extracting insights from text, cognitive can analyze policy documents, claims histories, legal documents, and other unstructured data to identify specific risk factors for each customer.
3. Cognitive systems can develop sophisticated risk models that consider a wide range of dynamic factors to continuously monitor risk and adjust premiums accordingly over time. This helps ensure optimal risk-based pricing.
4. By automating more of the data analysis and
Demystifying IBM Watson: Uncover the Power of Cognitive SolutionsPerficient, Inc.
Successful organizations recognize that information is a strategic asset, capable of strengthening decision making, improving efficiency, reducing risk, and enhancing customer relationships. With the tremendous surge in the volume and diversity of data, leveraging this information across the entire enterprise is a business imperative that cannot be ignored.
IBM Watson harnesses the power of cognitive exploration, machine learning, and natural language processing to answer your most pressing questions, strengthen decision making, scale expertise, uncover key information in unstructured data, and reveal previously undiscovered data patterns and relationships.
In this SlideShare, we discuss:
Trends in cognitive solutions
Use cases for IBM Watson
Real-world Watson success stories
Getting started on the path to cognitive solutions
IBM Watson for Ecosystem Program - You as ISV / Startup can enhance/build app...Romeo Kienzler
The document discusses IBM's Watson ecosystem program and Watson technology. It provides an overview of Watson's abilities like understanding natural language, generating hypotheses, and learning from interactions. It also outlines how the Watson ecosystem works with content and application partners, and describes demonstrations of Watson applications in healthcare, retail, and travel.
IBM Amplify is a conference that aims to help attendees revolutionize customer experience, understand cognitive solutions, and capitalize on opportunities in mobile, social, cloud, and analytics. The conference features tracks in marketing, customer analytics, and digital experience. It also includes keynotes from MetLife, Standard Life, and Primerica discussing engaging sales teams with mobile solutions and creating a digital engagement strategy driven by mobile. An insurance roundtable and dinner is also part of the event spotlighting the insurance industry.
How cognitive solutions are enhancing the way we live and work. What are cognitive solutions? What can cognitive bring to your business? Find out here!
There are some things that are so big that they have implications for everyone, whether we want it or not. Big Data is one of those things, and is completely transforming the way be do business and is impacting most other parts of our lives. Big Data refers to our ability to make use of the ever-increasing volumes of data.
Cloud has matured to become a platform for business information. In order to win in the new digital economy, organizations must choose the right cloud computing model. IBM offers Blue Box cloud services to allow you to meet key client requirements, and is designed to enable a cost-efficient, minimu footprint as well as scalability.
The cognitive era is just around the corner and IBM has opened the gate to new possibilities thanks to Watson. But what's cognitive? Cognitive is a partnership between the human and the machine. It combines the common sense, the morale of a human being with the accuracy, leverage and vast amounts of storage from the machine. See what Watson can do to expand your business, get to know your customers better and access a new way to interact with them.
Cognitive Analytics will become the chief focus of innovation, will converge all big data, it will take a root in global governance and it will start to automate most data analytics among other advantages. Want to consider it?
IBM introduces Journey Analytics, a solution to visualize the customer journey across channels and gain insights. It allows collaboration to design customer experiences. Journey Analytics uses interactions and audiences from multiple solutions and partners to provide a holistic view. This helps improve business outcomes by increasing loyalty through exceptional customer experiences. The solution is designed for marketing personas to better understand, engage and retain customers.
Meet the IBM Storwize family and discover IBM Smarter Storage for small and medium businesses and its advantages: efficient by design, self optimizing, cloud agile. Start smart and grow easily with IBM Smarter Storage and meet its high performance like a midrange disk system.
IBM cloud helps you to avoid data breaches and consequences as data theft, intrusions and vulnerabilities in the platform. Cloud can tranform your security practices. Respond to new threats in or out of the oficce, Cloud combines visibility, data protection, threat prevention and access management.
Big fix and Qradar will tighten endpoint security and avoid hackers threats offering the clients an integrated threat protection, enabling automated offense identification and continuous security configuration enforcement.
This presentation is about how can Internet be applied on the human body. Biohackers implant devices on their bodies to send data. This could be an advantage for healthcare matters.
¿Como crear una infraestructura que reduzca costos, proteja la información y entregue nueva inteligencia para permitir decisiones de negocios más inteligentes?
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Infrastructure Challenges in Scaling RAG with Custom AI modelsZilliz
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
29. Getting Ready for Watson
Evaluating the Business and Technical
Synergy and Charting Your Course
Jodie Sasse
Program Director, Engagements
IBM Watson Ecosystem