The document outlines an agenda for an IBM Watson Innovation Day event. The event aims to inspire partners by explaining how IBM Watson can help businesses, help shape cognitive applications, provide guidance on building Watson applications, and discuss the IBM partnership process. The agenda includes sessions on an overview of Watson and the ecosystem, how to evaluate business and technical fit with Watson, a partner's journey developing with Watson, and hands-on development sessions.
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.
Intelligence Augmented vs Artificial Intelligence. Alex Flamant, IBM Watsonhuguk
IBM is developing the Watson Ecosystem to leverage its Developer Cloud, APIs, Content Store and Talent Hub. This is part of IBM's recent announcement of the $1B investment in Watson as a new business unit including Silicon Alley NYC headquarters. For the first time, IBM will open up Watson as a development platform in the Cloud to spur innovation and fuel a new ecosystem of entrepreneurial software app providers who will bring forward a new generation of applications infused with Watson's cognitive computing intelligence.
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.
IBM Watson Ecosystem roadshow - Chicago 4-2-14cheribergeron
IBM Watson is powering a new generation of cognitive applications. Learn how IBM is partnering with visionaries and entrepreneurs to bring innovative cognitive applications to market through the IBM Watson Ecosystem.
This document discusses Software Park Thailand and its role in enabling the Thai software industry for the new computing era of mobile applications and cloud markets. It outlines Software Park Thailand's mission to provide skills training, especially in mobile development for Android, iOS, BlackBerry and Windows Phone 7, as well as cloud computing platforms like True IDC, Microsoft Azure and Google App Engine. It also discusses plans to set up a mobile testing center and provide free cloud training for software houses to help build awareness and position the Thai software industry for success in this new technology landscape.
Discover what comes next for IBM Watson and the industries particularly suited for Watson solutions, such as healthcare, banking, and the financial sector. All of which deal with massive amounts of unstructured data coming from various sources. Find out how the advanced analytics used in Watson are being put to work in businesses around the world.
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.
Intelligence Augmented vs Artificial Intelligence. Alex Flamant, IBM Watsonhuguk
IBM is developing the Watson Ecosystem to leverage its Developer Cloud, APIs, Content Store and Talent Hub. This is part of IBM's recent announcement of the $1B investment in Watson as a new business unit including Silicon Alley NYC headquarters. For the first time, IBM will open up Watson as a development platform in the Cloud to spur innovation and fuel a new ecosystem of entrepreneurial software app providers who will bring forward a new generation of applications infused with Watson's cognitive computing intelligence.
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.
IBM Watson Ecosystem roadshow - Chicago 4-2-14cheribergeron
IBM Watson is powering a new generation of cognitive applications. Learn how IBM is partnering with visionaries and entrepreneurs to bring innovative cognitive applications to market through the IBM Watson Ecosystem.
This document discusses Software Park Thailand and its role in enabling the Thai software industry for the new computing era of mobile applications and cloud markets. It outlines Software Park Thailand's mission to provide skills training, especially in mobile development for Android, iOS, BlackBerry and Windows Phone 7, as well as cloud computing platforms like True IDC, Microsoft Azure and Google App Engine. It also discusses plans to set up a mobile testing center and provide free cloud training for software houses to help build awareness and position the Thai software industry for success in this new technology landscape.
Discover what comes next for IBM Watson and the industries particularly suited for Watson solutions, such as healthcare, banking, and the financial sector. All of which deal with massive amounts of unstructured data coming from various sources. Find out how the advanced analytics used in Watson are being put to work in businesses around the world.
This document provides an overview of the book "Microservices for Java Developers" by Christian Posta. It discusses how businesses are shifting from a product-focused model to a service-focused model where they provide ongoing value to customers. It also discusses how technology is becoming increasingly commoditized, driving down costs. The book will provide hands-on examples of developing microservices using Java frameworks like Spring Boot, Dropwizard, and WildFly Swarm. It will cover deploying microservices at scale using Docker and Kubernetes and demonstrate clustering, failover, and load balancing techniques.
This document provides an overview of IBM Watson including:
- A brief history of Watson and how it defeated human opponents on Jeopardy in 2011.
- Technical specifications of Watson including its architecture using 90 IBM Power 750 servers with 2,880 POWER7 processor threads and 16 terabytes of RAM.
- Key technologies that Watson utilizes including Apache UIMA, Hadoop, and DeepQA for natural language processing and question answering.
- Commercial applications of Watson that have been developed for industries like healthcare, finance, and customer service.
- Related cognitive computing technologies like Microsoft Azure Machine Learning and HPE HAVEn OnDemand.
The document announces an ISIS Open House and User Conference from May 2-4, 2010 in Vienna, Austria to showcase the latest features of the Papyrus Platform and focus on empowering business users, and includes the agenda, sessions, workshops and labs to be covered around topics like customer experience, document design, case management, interactive letter writing and more.
Ten Things Every Tech Savvy Exec Should KnowDeltinaU
A guide for COOs, CEOs, CFOs, or any exec looking to become tech savvy. Ten Things Every Tech Savvy Exec Should Know features information on Social Media, Cloud Computing, Mobile Apps, Advanced Analytics, Customer Relations Managers, Collaborative Technologies, Tablet Computers, E-Readers, Smart Phones, and more.
Using Watson to build Cognitive IoT Apps on BluemixIBM
Learn how IBM Watson is allowing developers to build cognitive applications in the IBM Cloud. Using the IoT foundation and Watson, the future of connected devices is staying connected in a cognitive way with smarter apps and smarter devices.
IBM Watson Jeopardy! white paper which explains Watson’s workload optimised system design based on IBM DeepQA architecture and POWER7® processor-based servers
Logistics, Data in Motion and Paradigm Shift of the CIO: The economics and psychology of the flow of information. Advances in IT, especially cloud technologies, are causing a shift in the role of the CIO.
Future of work, Role of Technology and Impact on the HR profession (al) 2020MP Sriram
The one hour session focusses on 3 sub themes
The significant trends that are emerging around work and organising
The impact on the HR profession and HR professionals including their roles and skills
Emerging trends in HR technology and Digitalisation in HR
The document discusses IBM's approach to innovation. It provides definitions of innovation used at IBM, including the intersection of invention and insight that creates value with a holistic view of business models, products/services, and operations. It describes IBM's history of innovation and ongoing transformation, including exiting commoditized businesses and creating a large partner network. It outlines IBM's focus on services, software, integrated solutions, and acquisitions. The document discusses IBM's innovation processes, including internal and external sources of ideas, collaboration tools, and funding programs.
This document discusses AdPushup, a solution that helps web publishers optimize ad revenue. It uses A/B testing of different ad placements, sizes, and types to improve click-through rates and revenue per thousand impressions. Since display advertising is growing significantly, AdPushup's approach can help publishers maximize profits from their ad spaces. A case study showed it increasing one publisher's revenue per thousand impressions from $3.82 to $12.10. AdPushup plans to monetize further as it adds more publisher clients and inventory.
The deck we used to raise $270k for our startup Castleentercastle
Castle (entercastle.com) is a Detroit-based real estate startup that lets rental owners put their properties on autopilot. In April 2015, we closed a $270,000 angel round using this deck.
Questions? Comments? I'd love to hear from you. Email me at max@entercastle.com.
AppVirality - Plug & Play growth hacking toolkit for Mobile apps.
We help app developers implement Uber/Lyft like in-app referrals under 30 minutes. No coding required.
Checkout - http://appvirality.com
The 10 most interesting slides that helped our SaaS company raise 9 millionGoCanvas
Have you ever wondered what goes into a pitch deck? Or what slides matter? Here are the 10 slides that seemed to resonate most with VCs we met with our our journey to raising our latest $9 million in funding. Be sure to check the notes for explanations of each slide.
The document outlines Square's business proposition of providing a simple and low-cost way for merchants to accept credit card payments using a mobile device. Key points include:
- Square charges merchants a flat 2.75% fee per transaction with no setup costs or monthly fees.
- The company has experienced rapid growth, processing over $1 million in payments per day.
- Square targets small businesses and individuals by offering a simple interface and device that plugs into smartphones.
- Backed by experienced founders and investors, Square aims to become the dominant platform in mobile payments by acquiring new merchants through wide exposure and competitive pricing.
The document discusses the benefits of meditation for reducing stress and anxiety. Regular meditation practice can help calm the mind and body by lowering heart rate and blood pressure. Studies have shown that meditating for just 10-20 minutes per day can have significant positive impacts on both mental and physical health over time.
This document provides an overview of the book "Microservices for Java Developers" by Christian Posta. It discusses how businesses are shifting from a product-focused model to a service-focused model where they provide ongoing value to customers. It also discusses how technology is becoming increasingly commoditized, driving down costs. The book will provide hands-on examples of developing microservices using Java frameworks like Spring Boot, Dropwizard, and WildFly Swarm. It will cover deploying microservices at scale using Docker and Kubernetes and demonstrate clustering, failover, and load balancing techniques.
This document provides an overview of IBM Watson including:
- A brief history of Watson and how it defeated human opponents on Jeopardy in 2011.
- Technical specifications of Watson including its architecture using 90 IBM Power 750 servers with 2,880 POWER7 processor threads and 16 terabytes of RAM.
- Key technologies that Watson utilizes including Apache UIMA, Hadoop, and DeepQA for natural language processing and question answering.
- Commercial applications of Watson that have been developed for industries like healthcare, finance, and customer service.
- Related cognitive computing technologies like Microsoft Azure Machine Learning and HPE HAVEn OnDemand.
The document announces an ISIS Open House and User Conference from May 2-4, 2010 in Vienna, Austria to showcase the latest features of the Papyrus Platform and focus on empowering business users, and includes the agenda, sessions, workshops and labs to be covered around topics like customer experience, document design, case management, interactive letter writing and more.
Ten Things Every Tech Savvy Exec Should KnowDeltinaU
A guide for COOs, CEOs, CFOs, or any exec looking to become tech savvy. Ten Things Every Tech Savvy Exec Should Know features information on Social Media, Cloud Computing, Mobile Apps, Advanced Analytics, Customer Relations Managers, Collaborative Technologies, Tablet Computers, E-Readers, Smart Phones, and more.
Using Watson to build Cognitive IoT Apps on BluemixIBM
Learn how IBM Watson is allowing developers to build cognitive applications in the IBM Cloud. Using the IoT foundation and Watson, the future of connected devices is staying connected in a cognitive way with smarter apps and smarter devices.
IBM Watson Jeopardy! white paper which explains Watson’s workload optimised system design based on IBM DeepQA architecture and POWER7® processor-based servers
Logistics, Data in Motion and Paradigm Shift of the CIO: The economics and psychology of the flow of information. Advances in IT, especially cloud technologies, are causing a shift in the role of the CIO.
Future of work, Role of Technology and Impact on the HR profession (al) 2020MP Sriram
The one hour session focusses on 3 sub themes
The significant trends that are emerging around work and organising
The impact on the HR profession and HR professionals including their roles and skills
Emerging trends in HR technology and Digitalisation in HR
The document discusses IBM's approach to innovation. It provides definitions of innovation used at IBM, including the intersection of invention and insight that creates value with a holistic view of business models, products/services, and operations. It describes IBM's history of innovation and ongoing transformation, including exiting commoditized businesses and creating a large partner network. It outlines IBM's focus on services, software, integrated solutions, and acquisitions. The document discusses IBM's innovation processes, including internal and external sources of ideas, collaboration tools, and funding programs.
This document discusses AdPushup, a solution that helps web publishers optimize ad revenue. It uses A/B testing of different ad placements, sizes, and types to improve click-through rates and revenue per thousand impressions. Since display advertising is growing significantly, AdPushup's approach can help publishers maximize profits from their ad spaces. A case study showed it increasing one publisher's revenue per thousand impressions from $3.82 to $12.10. AdPushup plans to monetize further as it adds more publisher clients and inventory.
The deck we used to raise $270k for our startup Castleentercastle
Castle (entercastle.com) is a Detroit-based real estate startup that lets rental owners put their properties on autopilot. In April 2015, we closed a $270,000 angel round using this deck.
Questions? Comments? I'd love to hear from you. Email me at max@entercastle.com.
AppVirality - Plug & Play growth hacking toolkit for Mobile apps.
We help app developers implement Uber/Lyft like in-app referrals under 30 minutes. No coding required.
Checkout - http://appvirality.com
The 10 most interesting slides that helped our SaaS company raise 9 millionGoCanvas
Have you ever wondered what goes into a pitch deck? Or what slides matter? Here are the 10 slides that seemed to resonate most with VCs we met with our our journey to raising our latest $9 million in funding. Be sure to check the notes for explanations of each slide.
The document outlines Square's business proposition of providing a simple and low-cost way for merchants to accept credit card payments using a mobile device. Key points include:
- Square charges merchants a flat 2.75% fee per transaction with no setup costs or monthly fees.
- The company has experienced rapid growth, processing over $1 million in payments per day.
- Square targets small businesses and individuals by offering a simple interface and device that plugs into smartphones.
- Backed by experienced founders and investors, Square aims to become the dominant platform in mobile payments by acquiring new merchants through wide exposure and competitive pricing.
The document discusses the benefits of meditation for reducing stress and anxiety. Regular meditation practice can help calm the mind and body by lowering heart rate and blood pressure. Studies have shown that meditating for just 10-20 minutes per day can have significant positive impacts on both mental and physical health over time.
This document summarizes a platform that allows users to create customized maps of communities and interests. It started with 20,000 unique users and 18,000 monthly alerts. The platform has since received many requests to build maps for different interests around the world. The document outlines the business model, which includes organizing map data and monetizing through advertising, premium listings, and a potential SAAS model. It provides a timeline showing past pilots and plans for future mobile and discovery features. The team is seeking $1M in funding to further develop their self-service platform.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
Manpacks is a startup that provides monthly subscriptions for men's underwear. It aims to solve problems men have obtaining and maintaining their underwear supply. The founders have relevant experience in retail operations, web design and development. They are currently raising $500k on AngelList and 70% is already committed. The website and social media promote the company's limited time offers and discovery of new products to help men.
The investor presentation we used to raise 2 million dollarsMikael Cho
The investor presentation we used to raise 2 million dollars for ooomf.com (now pickcrew.com)
View the online version here: https://pickcrew.com/investors/
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise boosts blood flow and levels of neurotransmitters and endorphins which elevate and stabilize mood.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against developing mental illness and improve symptoms for those who already have a condition.
This document provides an outline for a pitch deck template from Sequoia Capital, including sections to cover company purpose, problem, solution, market opportunity, competition, product, business model, team, and financials. The template is meant to clearly communicate the problem being solved, how the solution addresses it, market size and competitors, as well as the qualifications of the founding team in seeking funding. Additional resources are provided to help create a successful pitch deck.
This document summarizes Mint, a personal finance management tool. It allows users to track spending, savings goals, and net worth. Mint makes money through referral fees when users switch financial products based on Mint's recommendations. The document outlines Mint's market size and opportunity, competitors, value proposition, user and partner acquisition strategies, business model, and projected financials. It expects rapid user and revenue growth as it acquires users through viral and partnership channels and converts them through intelligent suggestions.
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
We are pleased to share with you the latest VCOSA statistical report on the cotton and yarn industry for the month of May 2024.
Starting from January 2024, the full weekly and monthly reports will only be available for free to VCOSA members. To access the complete weekly report with figures, charts, and detailed analysis of the cotton fiber market in the past week, interested parties are kindly requested to contact VCOSA to subscribe to the newsletter.
Enhanced data collection methods can help uncover the true extent of child abuse and neglect. This includes Integrated Data Systems from various sources (e.g., schools, healthcare providers, social services) to identify patterns and potential cases of abuse and neglect.
Discovering Digital Process Twins for What-if Analysis: a Process Mining Appr...Marlon Dumas
This webinar discusses the limitations of traditional approaches for business process simulation based on had-crafted model with restrictive assumptions. It shows how process mining techniques can be assembled together to discover high-fidelity digital twins of end-to-end processes from event data.
Did you know that drowning is a leading cause of unintentional death among young children? According to recent data, children aged 1-4 years are at the highest risk. Let's raise awareness and take steps to prevent these tragic incidents. Supervision, barriers around pools, and learning CPR can make a difference. Stay safe this summer!
Generative Classifiers: Classifying with Bayesian decision theory, Bayes’ rule, Naïve Bayes classifier.
Discriminative Classifiers: Logistic Regression, Decision Trees: Training and Visualizing a Decision Tree, Making Predictions, Estimating Class Probabilities, The CART Training Algorithm, Attribute selection measures- Gini impurity; Entropy, Regularization Hyperparameters, Regression Trees, Linear Support vector machines.
29. Getting Ready for Watson
Evaluating the Business and Technical
Synergy and Charting Your Course
Jodie Sasse
Program Director, Engagements
IBM Watson Ecosystem