Spotlight talk given by Eric Brown and Rob High at Watson DevCon 2016.
Since the beginning of the computer age, scientists have been working to improve the ways computers understand us, reason through problems, and essentially ‘think’— ideas that represent the heart of artificial intelligence. In 2011, IBM took a giant leap forward with Watson, a cognitive computing technology that could answer Jeopardy! questions with the same level of skill as a human grand champion. Since then, Watson’s capacity to understand, interact, reason, and learn has grown exponentially. Here’s an insider's look at the origin of Watson— and its future.
Watson DevCon 2016 - The Future of Discovery: Deep Insights with Cognitive APIsIBM Watson
Presentation given by Elliot Turner at Watson DevCon 2016.
Finding actionable insights in the ever-growing volume of public and private data is an increasingly complex challenge. The problem is compounded when much of the available data is unstructured. In this session, you’ll see the current state and a glimpse into the future of Watson’s tools for data insights, and you’ll learn how these services can help you make sense of unstructured data, improve business intelligence, eliminate risk, and take action.
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.
A brief overview of Watson Cognitive solutions and an introduction into how they can be incorporated into the oil & gas arena. Dave Haake, Global C&P Solutions Executive, IBM Watson
This is a webinar for MicroPanel, a panel management solution created by SurveyAnalytics. If interested please click on the link to listen view the webinar and let us know if you have further questions. http://bcove.me/a8j5rugv.
The Other 99% of a Data Science ProjectEugene Mandel
Slides from my talk at Open Data Science Conference 2016.
Algorithms and models are an important (and cool) part of data science. This talk is about all the other steps that it takes to deploy a data science project that makes a product slightly smarter. Stuff that you hear from practitioners, but is not covered well enough in books.
Data Science - Part I - Sustaining Predictive Analytics CapabilitiesDerek Kane
This is the first lecture in a series of data analytics topics and geared to individuals and business professionals who have no understand of building modern analytics approaches. This lecture provides an overview of the models and techniques we will address throughout the lecture series, we will discuss Business Intelligence topics, predictive analytics, and big data technologies. Finally, we will walk through a simple yet effective example which showcases the potential of predictive analytics in a business context.
What Is Data Science? | Introduction to Data Science | Data Science For Begin...Simplilearn
This Data Science Presentation will help you in understanding what is Data Science, why we need Data Science, prerequisites for learning Data Science, what does a Data Scientist do, Data Science lifecycle with an example and career opportunities in Data Science domain. You will also learn the differences between Data Science and Business intelligence. The role of a data scientist is one of the sexiest jobs of the century. The demand for data scientists is high, and the number of opportunities for certified data scientists is increasing. Every day, companies are looking out for more and more skilled data scientists and studies show that there is expected to be a continued shortfall in qualified candidates to fill the roles. So, let us dive deep into Data Science and understand what is Data Science all about.
This Data Science Presentation will cover the following topics:
1. Need for Data Science?
2. What is Data Science?
3. Data Science vs Business intelligence
4. Prerequisites for learning Data Science
5. What does a Data scientist do?
6. Data Science life cycle with use case
7. Demand for Data scientists
This Data Science with Python course will establish your mastery of data science and analytics techniques using Python. With this Python for Data Science Course, you’ll learn the essential concepts of Python programming and become an expert in data analytics, machine learning, data visualization, web scraping and natural language processing. Python is a required skill for many data science positions, so jumpstart your career with this interactive, hands-on course.
Why learn Data Science?
Data Scientists are being deployed in all kinds of industries, creating a huge demand for skilled professionals. Data scientist is the pinnacle rank in an analytics organization. Glassdoor has ranked data scientist first in the 25 Best Jobs for 2016, and good data scientists are scarce and in great demand. As a data you will be required to understand the business problem, design the analysis, collect and format the required data, apply algorithms or techniques using the correct tools, and finally make recommendations backed by data.
The Data Science with python is recommended for:
1. Analytics professionals who want to work with Python
2. Software professionals looking to get into the field of analytics
3. IT professionals interested in pursuing a career in analytics
4. Graduates looking to build a career in analytics and data science
5. Experienced professionals who would like to harness data science in their fields
Watson DevCon 2016 - The Future of Discovery: Deep Insights with Cognitive APIsIBM Watson
Presentation given by Elliot Turner at Watson DevCon 2016.
Finding actionable insights in the ever-growing volume of public and private data is an increasingly complex challenge. The problem is compounded when much of the available data is unstructured. In this session, you’ll see the current state and a glimpse into the future of Watson’s tools for data insights, and you’ll learn how these services can help you make sense of unstructured data, improve business intelligence, eliminate risk, and take action.
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.
A brief overview of Watson Cognitive solutions and an introduction into how they can be incorporated into the oil & gas arena. Dave Haake, Global C&P Solutions Executive, IBM Watson
This is a webinar for MicroPanel, a panel management solution created by SurveyAnalytics. If interested please click on the link to listen view the webinar and let us know if you have further questions. http://bcove.me/a8j5rugv.
The Other 99% of a Data Science ProjectEugene Mandel
Slides from my talk at Open Data Science Conference 2016.
Algorithms and models are an important (and cool) part of data science. This talk is about all the other steps that it takes to deploy a data science project that makes a product slightly smarter. Stuff that you hear from practitioners, but is not covered well enough in books.
Data Science - Part I - Sustaining Predictive Analytics CapabilitiesDerek Kane
This is the first lecture in a series of data analytics topics and geared to individuals and business professionals who have no understand of building modern analytics approaches. This lecture provides an overview of the models and techniques we will address throughout the lecture series, we will discuss Business Intelligence topics, predictive analytics, and big data technologies. Finally, we will walk through a simple yet effective example which showcases the potential of predictive analytics in a business context.
What Is Data Science? | Introduction to Data Science | Data Science For Begin...Simplilearn
This Data Science Presentation will help you in understanding what is Data Science, why we need Data Science, prerequisites for learning Data Science, what does a Data Scientist do, Data Science lifecycle with an example and career opportunities in Data Science domain. You will also learn the differences between Data Science and Business intelligence. The role of a data scientist is one of the sexiest jobs of the century. The demand for data scientists is high, and the number of opportunities for certified data scientists is increasing. Every day, companies are looking out for more and more skilled data scientists and studies show that there is expected to be a continued shortfall in qualified candidates to fill the roles. So, let us dive deep into Data Science and understand what is Data Science all about.
This Data Science Presentation will cover the following topics:
1. Need for Data Science?
2. What is Data Science?
3. Data Science vs Business intelligence
4. Prerequisites for learning Data Science
5. What does a Data scientist do?
6. Data Science life cycle with use case
7. Demand for Data scientists
This Data Science with Python course will establish your mastery of data science and analytics techniques using Python. With this Python for Data Science Course, you’ll learn the essential concepts of Python programming and become an expert in data analytics, machine learning, data visualization, web scraping and natural language processing. Python is a required skill for many data science positions, so jumpstart your career with this interactive, hands-on course.
Why learn Data Science?
Data Scientists are being deployed in all kinds of industries, creating a huge demand for skilled professionals. Data scientist is the pinnacle rank in an analytics organization. Glassdoor has ranked data scientist first in the 25 Best Jobs for 2016, and good data scientists are scarce and in great demand. As a data you will be required to understand the business problem, design the analysis, collect and format the required data, apply algorithms or techniques using the correct tools, and finally make recommendations backed by data.
The Data Science with python is recommended for:
1. Analytics professionals who want to work with Python
2. Software professionals looking to get into the field of analytics
3. IT professionals interested in pursuing a career in analytics
4. Graduates looking to build a career in analytics and data science
5. Experienced professionals who would like to harness data science in their fields
Applications of Data Science in Microsoft Cloud ProductsLisa Cohen
Data Science and Machine Learning are fascinating fields. It’s amazing to envision the future of Artificial Intelligence. But it’s also equally amazing to explore the applications. Modeling the domain such that a machine learning algorithm can be applied is half the challenge. And coming up with new ideas for how the business can leverage data science requires great creativity. In this talk, we'll review the various ways that Microsoft Azure has leveraged analytics, experimentation and machine learning to help customers be successful on the cloud. We’ll cover examples of recommender models, customer lifetime value, churn prediction, anomaly detection, and more.
Customer Insights Workshop - Consumer Text Analytics ConferenceMekkin Bjarnadottir
Lexalytics VP Seth Redmore talks about the nuts and bolts of text and sentiment analysis to spot and react to consumer feedback online. From the 2014 Terrapin Consumer Text Analytics Conference. Read more here: http://www.lexalytics.com/blog/2014/consumer-text-analytics-conference
Watson DevCon 2016: Myca - My Career Advisor: Providing Individualized Career...IBM Watson
Cognitive computing can be used to advise users on topics as diverse as wine selection to wedding style, and now, career advice. Myca, the cognitive career advisor, interviews users, understands their needs, and provides instant, personalized career advice, from job opportunities to learning recommendations, mentoring options, and more. View the app in action, and learn how this team of developers used Watson cognitive APIs to take it from idea to functional demo in just 20 days!
Application Developer Predictions 2017 - It's All About CognitiveIBM Watson
Watch the video recording: https://youtu.be/NmlM1SdYFFo
You’ve heard the buzz around cognitive technologies. You may have even experimented with them on your own, but you’re not sure how they fit in your app development toolbox. Sound familiar?
Don’t let another year pass without unlocking the true potential in your unstructured text, speech, images, and more. In this webinar, James Governor of Redmonk and Marcus Boone of Watson will share their predictions for what will be hot (and not) when it comes to application development in 2017. From massive data growth to conversational commerce and beyond, learn why cognitive app development is poised to accelerate in 2017 and how Watson cognitive APIs can help you successfully build your own breakthrough cognitive app.
Watson DevCon 2016 - The Flu Fighters: Using IBM Cognitive Computing to Fight...IBM Watson
Presentation given by Jeff Goodhue and Dave Wakeman at Watson DevCon 2016.
Can cognitive technology really detect and track outbreaks using social media and save lives? Absolutely! The technology of Watson APIs, the Bluemix platform and IBM Operational Decision Manager can be combined into a powerful solution that uses Twitter data, natural language processing and situational awareness to detect patterns in social media to track disease and health outbreaks as they spread.
The real-time situation detection capabilities of the “Flu Fighters” solution can provide advanced warning to doctors, hospitals, clinics, pharmaceutical providers and others so that preventative measures can be taken to protect at-risk patients before the outbreak reaches their area. In this session you will learn how a prototype of such solution was developed using IBM Watson Services and IBM Bluemix.
Building with Watson - Serverless Chatbots with PubNub and ConversationIBM Watson
PubNub helps you manage your streaming data, and now it is easy to add Watson-powered machine intelligence to those streams with BLOCKS. In this Building with Watson webinar, Josh Marinacci, Head of Developer Relations at PubNub, demonstrates how he used the Watson Conversation PubNub BLOCK to build a geology themed chatbot, Mr. Rockbot.
IBM Watson Conversation: machine learning tools, artificial intelligence capa...Codemotion
Go in deep on this Bluemix Services. Add a natural language interface to your application to automate interactions with your end users. Common applications include virtual agents and chat bots that can integrate and communicate on any channel or device. Train Watson Conversation service through an easy-to-use web application, designed so you can quickly build natural conversation flows between your apps and users, and deploy scalable, cost effective solutions.
mHealth Israel_Martin Hirsch_CEO_APHP_Greater Paris University Hospitals_Nov,...Levi Shapiro
Presentation for mHealth Israel by Martin Hirsch, CEO, l' APHP (Greater Paris University Hospitals), Nov 20, 2016. Includes an overview of the 39 hospitals in the system, IT processes and infrastructure, Clinical Data Warehouse, Genomics / bio-informatics platform
Applications of Data Science in Microsoft Cloud ProductsLisa Cohen
Data Science and Machine Learning are fascinating fields. It’s amazing to envision the future of Artificial Intelligence. But it’s also equally amazing to explore the applications. Modeling the domain such that a machine learning algorithm can be applied is half the challenge. And coming up with new ideas for how the business can leverage data science requires great creativity. In this talk, we'll review the various ways that Microsoft Azure has leveraged analytics, experimentation and machine learning to help customers be successful on the cloud. We’ll cover examples of recommender models, customer lifetime value, churn prediction, anomaly detection, and more.
Customer Insights Workshop - Consumer Text Analytics ConferenceMekkin Bjarnadottir
Lexalytics VP Seth Redmore talks about the nuts and bolts of text and sentiment analysis to spot and react to consumer feedback online. From the 2014 Terrapin Consumer Text Analytics Conference. Read more here: http://www.lexalytics.com/blog/2014/consumer-text-analytics-conference
Watson DevCon 2016: Myca - My Career Advisor: Providing Individualized Career...IBM Watson
Cognitive computing can be used to advise users on topics as diverse as wine selection to wedding style, and now, career advice. Myca, the cognitive career advisor, interviews users, understands their needs, and provides instant, personalized career advice, from job opportunities to learning recommendations, mentoring options, and more. View the app in action, and learn how this team of developers used Watson cognitive APIs to take it from idea to functional demo in just 20 days!
Application Developer Predictions 2017 - It's All About CognitiveIBM Watson
Watch the video recording: https://youtu.be/NmlM1SdYFFo
You’ve heard the buzz around cognitive technologies. You may have even experimented with them on your own, but you’re not sure how they fit in your app development toolbox. Sound familiar?
Don’t let another year pass without unlocking the true potential in your unstructured text, speech, images, and more. In this webinar, James Governor of Redmonk and Marcus Boone of Watson will share their predictions for what will be hot (and not) when it comes to application development in 2017. From massive data growth to conversational commerce and beyond, learn why cognitive app development is poised to accelerate in 2017 and how Watson cognitive APIs can help you successfully build your own breakthrough cognitive app.
Watson DevCon 2016 - The Flu Fighters: Using IBM Cognitive Computing to Fight...IBM Watson
Presentation given by Jeff Goodhue and Dave Wakeman at Watson DevCon 2016.
Can cognitive technology really detect and track outbreaks using social media and save lives? Absolutely! The technology of Watson APIs, the Bluemix platform and IBM Operational Decision Manager can be combined into a powerful solution that uses Twitter data, natural language processing and situational awareness to detect patterns in social media to track disease and health outbreaks as they spread.
The real-time situation detection capabilities of the “Flu Fighters” solution can provide advanced warning to doctors, hospitals, clinics, pharmaceutical providers and others so that preventative measures can be taken to protect at-risk patients before the outbreak reaches their area. In this session you will learn how a prototype of such solution was developed using IBM Watson Services and IBM Bluemix.
Building with Watson - Serverless Chatbots with PubNub and ConversationIBM Watson
PubNub helps you manage your streaming data, and now it is easy to add Watson-powered machine intelligence to those streams with BLOCKS. In this Building with Watson webinar, Josh Marinacci, Head of Developer Relations at PubNub, demonstrates how he used the Watson Conversation PubNub BLOCK to build a geology themed chatbot, Mr. Rockbot.
IBM Watson Conversation: machine learning tools, artificial intelligence capa...Codemotion
Go in deep on this Bluemix Services. Add a natural language interface to your application to automate interactions with your end users. Common applications include virtual agents and chat bots that can integrate and communicate on any channel or device. Train Watson Conversation service through an easy-to-use web application, designed so you can quickly build natural conversation flows between your apps and users, and deploy scalable, cost effective solutions.
mHealth Israel_Martin Hirsch_CEO_APHP_Greater Paris University Hospitals_Nov,...Levi Shapiro
Presentation for mHealth Israel by Martin Hirsch, CEO, l' APHP (Greater Paris University Hospitals), Nov 20, 2016. Includes an overview of the 39 hospitals in the system, IT processes and infrastructure, Clinical Data Warehouse, Genomics / bio-informatics platform
mHealth Israel_Jonathan Kanevsky_The Future of MedicineLevi Shapiro
Presentation by Dr. Jonathan Kanevsky for the mHealth Israel community, "Turning Doctors into Champions". The presentation included four parts: Behavior changes in medicine, Abstraction to inspire innovation, 3 key areas of product development, How to innovate for doctors
Using the power of OpenAI with your own data: what's possible and how to start?Maxim Salnikov
The top questions we get about ChatGPT-powered enterprise scenarios are all about using the company's own data as the basis for the responses. In this session, we'll explore various options starting from simply injecting data into the prompt to the advanced architectures with multiple Cognitive Services chained together and fine-tuning models - all for you to choose the flexible, scalable, and cost-efficient solution that works the best for you.
Artificial Intelligence disruption: How technologies are predicted to change ...LinkedIn Talent Solutions
Artificial Intelligence (AI) and other emerging technologies are expected to disrupt workplaces across industries and take away millions of jobs in the next decade. Can talent acquisition professionals ignore the technology storm happening all around them? Will their jobs be around in the next 10 years? Will technology replace humans, or just augment their capabilities?
This session will equip you with the basic understanding of key technologies that are changing the world today: Artificial Intelligence and Machine Learning, Blockchain and Virtual Reality; and present their potential applications across candidate and employee journeys.
Join me to help prepare yourself for the radical changes just around the corner.
We present a novel application of advanced logic-based business rules (Rulelog) and natural language processing (Textual Logic): to automatically generate detailed explanations for business decision making and education. Business users need to deeply understand the critical knowledge that underlies organizational decisions. Students at all levels want to understand the "why" not just the "what", and benefit from automated support for developing higher cognitive and critical thinking skills. Our approach is domain-neutral, and its generated explanations are interactively navigable. We give two case studies:
· Regulations & policies in financial compliance. A key challenge in compliance is the ever-growing amount and complexity of regulations & policies. Our approach aids compliance professionals to interpret the results of automated decision support systems and to contribute more rapidly and effectively to evolving the implemented business rules that underlie those systems.
· Review and test prep in college-level science. A key challenge in education is the high cost of personalizing the learning experience. Our approach reduces that cost, deepens the learning experience, and empowers the student.
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
Based on as my experience, I am providing high level quick presentation that introduces how IBM has moved from Jeopardy and DEEP Blue to era of Cloud and Microservices and AI.
Content will range start with why does Text Analytics need a special session on convincing boss, followed by a role play summarizing current mistakes, a sample elevator pitch for your boss and a proposed execution plan. The content is tailored for Mid to Senior Level Managers trying to convince Leaders/Executives/Heads. It doesn’t provide any technical details –methodologies, tools, vendors or hardware investments.
This was presented at Text Analytics West Summit 2014 at San Francisco. Questions? Reach out at Ramkumar Ravichandran @ Linkedin.
This presentation explores the relationship between agile methodologies and generative artificial intelligence (AI). It reflects on how agile principles enabled organizations to adapt during the COVID-19 pandemic, proving agility is a mindset not a place. The rise of generative AI brings new opportunities to augment human capabilities and boost productivity. However, over-reliance on AI risks decreasing human creativity and collaboration. Agile practitioners must remain vigilant to use generative AI purposefully, preserving team interactions. Examples demonstrate how generative AI chatbots can assist with agile coaching, accelerating knowledge acquisition. But human compassion endures despite innovations. Overall, embracing change through strong values and advanced technology allows agile practices to thriv
A presentation given in Denmark, introducing cognitive computing, highlighting potential benefits and early use-cases in insurance with IBM Watson. The presentation included demos.
Link to youtube video of FlexRate Insurers self-service demo: https://www.youtube.com/watch?v=8xRN9RzpVBE&spfreload=10
Link to IBM Watson white paper on Cognitive Computing in Insurance:
Responsible AI in Industry: Practical Challenges and Lessons LearnedKrishnaram Kenthapadi
How do we develop machine learning models and systems taking fairness, accuracy, explainability, and transparency into account? How do we protect the privacy of users when building large-scale AI based systems? Model fairness and explainability and protection of user privacy are considered prerequisites for building trust and adoption of AI systems in high stakes domains such as hiring, lending, and healthcare. We will first motivate the need for adopting a “fairness, explainability, and privacy by design” approach when developing AI/ML models and systems for different consumer and enterprise applications from the societal, regulatory, customer, end-user, and model developer perspectives. We will then focus on the application of responsible AI techniques in practice through industry case studies. We will discuss the sociotechnical dimensions and practical challenges, and conclude with the key takeaways and open challenges.
Is collaboration the future of business IT? - Patrick Bolger, HornbillSITS - The ITSM Show
To improve IT agility and value, we must change the way we work. Getting closer to customers is hard enough when you’re in the same building, but is tougher still when working across different borders and cultures. Collaboration technologies could provide the answer, but before you consider adoption, this session will help you ask the right questions.
Many Asset and Wealth Managers that consider upgrading their Client Portals find it too big a task: complex, expensive or costly. In this webinar, we will attempt to debunk these common myths, and help you build a pathway to upgrade your digital client experience. Is it easy? No, but it is no Rocket Science either!
What we will cover:
1. Why Client Portals are critical
2. Common misconceptions debunked
3. Best practices when designing portals
4. Practical steps to get started
Theo Paraskevopoulos is CEO of GrowCreate, an independent Cloud software and CX company. Invessed is a platform that helps Asset and Wealth Managers manage their data and power websites, client portals and apps.
In this presentation, we describe how a text analytics command center can help you create a strategy for analyzing & integrating both social & private data.
Similar to Watson DevCon 2016 - From Jeopardy! to the Future (20)
Easily Deploy your Chat Bot to Multiple Channels with StamplayIBM Watson
Stamplay makes it easy to chain services and deploy to messaging platforms with little to no code. See how Watson Conversation can be quickly integrated into chat platforms such as Facebook Messenger and Slack.
Building with Watson - Advanced Integrations with Watson ConversationIBM Watson
Watson Conversation provides the engine for your chat bots, and it's most powerful when integrated with messaging and chat platforms. In this webinar, we'll talk about the best practices for connecting your Conversation setup with third-party interfaces, with a deep-dive into a Watson-powered Slack bot.
Watch the full webinar and view upcoming webinars here: http://www.ibm.com/watson/building-with-watson-webinar.html
Highlighting the value of Watson Equipment Advisor: Enables connectivity & data collection from a myriad of devices, sensors and equipment; Provides early warning for operational issues, impending failure \ breakage; Mines maintenance logs, equipment manuals, technician unstructured data to assist with diagnostics via an interactive dialog to make repair recommendations with the highest probability of success including parts and tooling; Constantly evaluate its current operating performance looking for alternate settings or operations to improve throughput, quality and availability. - Jay Di Silvestri, IBM Watson Cognitive Solutions Technical Lead
Highlighting how Refinery Advisor enhances decision making by oil & gas professionals by applying the organizations collective knowledge to large complex data sets, in context. -Scott Kimbleton, Associate Partner, Chemicals & Petroleum Global Business Services
Overview of Watson Cognitive Reservoir Analytics, highlighting how cognitive technologies are ready to address the challenges of the Oil & Gas industry and to transform practices in the industry, in face of data overload, new frontiers, workforce and skills shortage. -Renato Cerqueira, Sr. Research Manager and Technical Team, IBM Research Brazil
Watson DevCon 2016: Why Audience Intelligence Requires a Modular AI ApproachIBM Watson
Presentation given by Francesco D'Orazio at Watson DevCon 2016.
Not all data is created equal. Different datasets, industries, audiences, and use cases require different techniques to make sense of the data and help craft insights beyond simple analytics. At Pulsar, we deal with complex and varied social and behavioral datasets that require a very diverse range of data mining techniques—and there’s only so much a single company can do to keep up with the level of specialism needed to make sense of it all.Pulsar has built a modular system for AI solutions. Integrating Watson has been essential in helping to support a wide range of research use cases – from image analysis to topic extraction and emotion analysis. Come explore different Watson-enabled use cases and hear plans for future integrations.
Watson DevCon 2016 - Watson Beat: Making Music CognitiveIBM Watson
Presentation given by Janani Mukundan and Richard Daskas at Watson DevCon 2016.
As AI advances, scientists are pushing the boundaries of computational creativity. IBMers from Research are teaching Watson to compose original music based on human emotion. Using machine learning algorithms, the Researchers are teaching artificial neural networks to understand music theory, structure (pitch, time signature, key signature), and emotional intent to co-create music with a human partner. "Watson Beat" generates new and unique musical song combinations based on the beat played by the individual and the emotional tone the human chooses. Here’s how it works.
Watson DevCon 2016 - Do More with Less Code: Enriched Communications with Twi...IBM Watson
Presentation given by Devarshi Shah at Watson DevCon 2016.
Watson add-ons pre-integrated with Twilio’s APIs allow developers to extract insights from SMS & Voice Calls. This session will discuss the future of composability, why Twilio decided to create a marketplace that opens our developer community to partnerships, and how their focus on the developer experience has built such a loyal following. Devarshi shares upcoming offerings and future plans to grow the marketplace.
Watson DevCon 2016 - Engage and Be Engaging: Building Compassionate and Perso...IBM Watson
Presentation at Watson DevCon 2016, given by Rama Akkiraju.
Getting to know each other, tailoring our communication style, conversing with each other naturally — humans do this everyday. Now, with the advent of cognitive technologies, computers can, too. Find out how you can create apps that can engage and delight users with APIs that predict personality from writings, analyze linguistic tones from communications, and automate conversations. See firsthand how easy it can be to make digital interactions at massive scale personal and productive.
Get More From Your Messages with Twilio + Watson Add-OnsIBM Watson
In this Building with Watson webinar, learn how the Message Insights and Message Sentiment Add-ons, available from the Twilio marketplace, can streamline your mobile application building process. The natural language processing capabilities tied with the SMS messaging capabilities of Twilio make it easier than ever to understand input from your customers.
Webinar replay: http://event.on24.com/wcc/r/1264584/04021735338B41F7C4B212F898755C42
5 Reasons to Attend the Upcoming Watson Developer ConferenceIBM Watson
In the rapidly evolving world of technology, continuous learning, innovating and networking is essential for keeping up. At the upcoming Watson Developer Conference, discover new content, connect with industry experts and influence the future of this cognitive era, together. Hear from some of our featured external speakers who will share why they're excited for the November 9-10 conference in San Francisco.
Visit the conference website to learn more about the event: http://www.ibm.com/watson/developer-conference/index.html
Application Starter Kits for Developers - Building with WatsonIBM Watson
In this episode of Building with Watson, get a demonstration of two new Application Starter Kits, pre-built sample applications aimed at giving you a headstart on approaching specific business applications of Watson services.
Watch all of the Building with Watson sessions here: https://www.ibm.com/smarterplanet/us/en/ibmwatson/building-with-watson-webinar.html
Cognitive Business: Where digital business meets digital intelligenceIBM Watson
Ravesh Lala, Vice President, IBM Watson Solutions provided a high level overview of IBM Watson on Monday August 22, 2016 at the Electronics event in NY. Ravesh shared insights into what Watson is, and how organizations have leveraged the power of Watson to advance their place in the market.
What Does It Mean To Be A Cognitive CompanyIBM Watson
Steve Gold, IBM Watson CPO, shares education and insights on what it means to be a cognitive company. Also learn how you can take steps to lead your company into the cognitive era.
Custom Image Classifier with Visual Recognition: Building with Watson IBM Watson
In this Building with Watson presentation, learn how to train a classifier to identify images relevant to you and your company. View the on-demand version of the demonstration and listen to the Q&A with our Watson Vision engineers. http://www.ibm.com/watson/building-with-watson-webinar.html
Thank you for your interest in the recent NY Outthink breakfast on July 19th at the Rainbow Room. Presentations shared highlighted how cognitive computing is being applied today in a variety of business situations, in many industries, and across multiple business functions. See the presentation by Beth Smith for steps to becoming a cognitive business!
Thank you for your interest in the recent NY Outthink breakfast on July 19th at the Rainbow Room. Presentations shared highlighted how cognitive computing is being applied today in a variety of business situations, in many industries, and across multiple business functions. Presentation by Jason Kelley
How is Watson Changing the Future of the Automative Industry?IBM Watson
“How is Watson Changing the Future of the Automotive Industry?” presented in Livonia, MI. Event participants were introduced to the age of cognitive computing, where cognitive analytics evaluate complex data in new ways to help solve the industry's most challenging problems. Cognitive computing has arrived, and its potential to transform the industry is momentous. Learn how cognitive solutions are being applied in the automotive industry and how industry leaders are embracing this ground breaking technology to spark the digital future.
Building with Watson - Conversational Apps: What We've Learned and Where We'r...IBM Watson
Watch the webinar replay here: http://www.ibm.com/watson/building-with-watson-webinar.html
Watson has dedicated themselves to improving the technology available and the experience around building conversational applications. On this webinar, learn from developers who have worked with the services about the challenges involved in building a conversational application and get a look at some of the breakthroughs in conversation technology, that are removing the roadblocks in this process.
Building with Watson: Watson Developer Certification ProgramIBM Watson
Learn about IBM Watson's new certification program. This program is designed to help developers make it known that they are proficient in the Watson technologies. Hear from Richard Rodts about what the program will entail, and get all your questions answered.
Watch all of the prior and upcoming Building with Watson webinars here: https://www.ibm.com/smarterplanet/us/en/ibmwatson/building-with-watson-webinar.html
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
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Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Watson DevCon 2016 - From Jeopardy! to the Future
1. From Jeopardy! to the Future
Eric Brown, PhD
Director, Watson Algorithms
IBM Watson Health
Rob High, Jr.
IBM Fellow, Vice President, CTO
IBM Watson
2. Please note IBM’s statements regarding its plans, directions, and intent are subject to change or withdrawal without notice and
at IBM’s sole discretion.
Information regarding potential future products is intended to outline our general productdirection and it should
not be relied on in making a purchasing decision.
The information mentionedregarding potential future products is not a commitment, promise, or legal obligation to
deliver any material, code or functionality. Information about potential futureproducts may not be incorporated into
any contract.
The development, release, and timing of any future features or functionality described for our products remains at
our sole discretion.
Performance is based on measurements and projections using standard IBM benchmarks in a controlled
environment. The actual throughput or performance that any user will experience will vary depending upon many
factors, including considerations such as the amount of multiprogramming in the user’s job stream, the I/O
configuration, the storage configuration, and theworkload processed. Therefore, no assurance can be given that
an individual user will achieve results similar to those stated here.
3. The History of Watson
Eric Brown, PhD
Director, Watson Algorithms
IBM Watson Health
4. A Brief History of AI
1945
Memex:
Vannevar
Bush
1970 1980 1990 2000 2010
Natural Language Processing
Information Retrieval
Machine Learning
Knowledge Representation and Reasoning
Question Answering
Dartmouth
Conference of
1956
State of the Art in
Question Answering
1st AI Winter
Reasoning as Search
Natural Language Understanding
Logic
Neural Networks
2nd AI Winter
Expert Systems
Knowledge and Reasoning
Text REtrieval
Conference
Big Data
Computational Power
5. Real Language is
Real Hard
Chess
– A finite, mathematically well-defined search space
– Limited number of moves and states
– Grounded in explicit, unambiguous mathematical rules
Human Language
– Ambiguous, contextual and implicit
– Grounded only in human cognition
– Seemingly infinite number of ways to express the same meaning
6. $200
The juice of this bog fruit is
sometimes used to treat
urinary tract infections
$400
An early name for Google
was this type of massage
The Jeopardy! Challenge
Broad/Open
Domain
Complex
Language
High Precision
Accurate
Confidence
High
Speed
$600
In cell division, mitosis splits
the nucleus & cytokinesis
splits this liquid cushioning
the nucleus
$800
Grace Murray Hopper is credited
with applying this 3-letter term to
a mysterious computer problem
$1000
IBM is known informally as Big
this
A palpable, compelling and notable way to drive the technology of Question Answering
along Key Dimensions
7.
8. What It Takes to compete against Top Human Jeopardy! Players
Our Analysis Reveals the Winner’s Cloud
Winning Human
Performance
2007 QA Computer System
Grand Champion
Human Performance
Top human
players are
remarkably
good.
Each dot – actual historical human Jeopardy! games
More Confident Less Confident
In 2007, we committed to
making a Huge Leap!
Computers?
Not So Good.
9. Large Hand-Crafted Models won’t cut it
– Too Slow, Too Narrow, Too brittle, Too Biased
– Need to acquire and analyze information from As-Is Knowledge sources
Intelligence from the combination of many
– Consider Many Hypotheses. Reduce early biases.
– Consider Many diverse algorithms. No single one is perfect or complete.
– Analyze evidence form different perspectives
– Balanced combination is continually learned, tested and refined
Architecture to Support Integration and Learning
– Facilitate integration of many components
– Automatically learn how to combine
– Enable scale-out and parallel deployment
Drive Performance with Measurement and Analysis
– Define appropriate metrics
– Measure, analyze, improve, repeat
Early Philosophical Commitments
10. DeepQA: The architecture underlying Watson
Generates many hypotheses, collects a wide range of evidence and balances the combined confidences of over 100 different
analytics that analyze the evidence from different dimensions
Answer
Scoring
Models
Answer &
Confidence
Question
Evidence
Sources
Models
Models
Models
Models
ModelsPrimary
Search
Candidate
Answer
Generation
Hypothesis
Generation
Hypothesis and
Evidence Scoring
Final Confidence
Merging & Ranking
Synthesis
Answer
Sources
Question &
Topic
Analysis
Evidence
Retrieval
Deep
Evidence
Scoring
Learned Models
help combine and
weigh the Evidence
Hypothesis
Generation
Hypothesis and Evidence
Scoring
Question
Decomposition
11. 11
Goal-Oriented Metrics and Incremental Investments
– Identify a Target and Technical Approach
– Headroom Analysis: Estimate idea’s potential impact on key metrics
– Balance long-term & short-term investments. Have the next priority ready. Be Agile.
Extreme Collaboration
– Implemented “One Room” to optimize team work and communication
– Immediate access to the right “expert”, spontaneous discussions, no good idea lost
Disciplined Engineering and Evaluation (Regular Blind Data Experiments)
– Bi-weekly End-to-End Integration Runs & Evaluations (Large Compute Resources)
– >10 GBs of error analysis output made accessible via Web-Based Tool
– Positive impact on last run required to get into the next bi-weekly run
Rapid Innovation Methodology Emerged
>8000 Documented experiments performed in 4 years
12. DeepQA: Incremental Progress in Answering Precision on the
Jeopardy Challenge: 6/2007-11/2010
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Precision
% Answered
Baseline 12/06
v0.1 12/07
v0.3 08/08
v0.5 05/09
v0.6 10/09
v0.8 11/10
v0.4 12/08
v0.2 05/08
IBM Watson
Playing in the Winners Cloud
V0.7 04/10
14. From battling humans at Jeopardy! to transforming how business thinks,
acts, and operates
Contact Center
Healthcare Financial Services
Government
Diagnostic/treatment
assistance, evidenced-based
insights, collaborative
medicine
Investment and retirement
planning, institutional
trading and decision support
Call center and tech support,
enterprise knowledge
management, consumer insight
Public safety, improved
information sharing,
security
15. The Era of Cognitive
Computing
Rob High, Jr.
IBM Fellow, Vice President
Chief Technology Officer
IBM Watson
17. Cognitive systems understand human expressions – textual, verbal, visual
By reasoning about the actual intention or problem being addressed
They learn how to recognize patterns of meaning through examples and feedback
And they interact with humans on their own terms, and in a way that inspires people.
What is Cognitive Computing?
… and do so at enormous scale.
18. Watson Reference Model
Developer
Tooling
Platforms as a
Service
Watson Services
Data as a
Service
Watson Content
Application
Tooling
Maker
Tooling
Content
Tooling
Cloud Infrastructure
Public Private
Crowd
Sourced
Knowledge
Organization
Skills
Foundational
Cognitive
Skills
Higher
Reasoning
Skills
IBMWatsonMarketplace Skills as a
Service
Watson
Built Apps
& Bots
Watson
Built Skills
IBM Built
Apps & Bots
IBM Built
Skills
3rd
Party
Apps &
Bots
3rd
Party
Skills
Software as a
Service
Watson Apps &
Bots
Hybrid Client
Platform
Watson Explorer
19. Watson is available as a set of services delivered as APIs in the Cloud
Higher Reasoning Skills
• Conversation
Higher
Reasoning
Skills
Ibm.com/bluemix
Can be combinedwith the 100s ofother available services on Bluemix
20. • Add a natural language interface to your
application to automate interactions with
your end users.
• Common applications include virtual
agents and chat bots that can integrate
and communicate on any messaging
platform.
• Model is trained on user-defined intents,
entities and dialogs
• Expanded to recognize the emotion of
the user and to respond accordingly
Conversation
21. • Intents classify the kinds
of actions or questions
that the conversation will
respond to
• You can begin with as few
as just one intent, and
then expand as new
functionality is added to
the virtual agent
• It only takes a few
examples to train Watson
to recognize a wide
variety of ways to express
an intent
• The tooling allows you to
test as you train
Conversational Intents
22. • Conversation can
detect entities in
an utterance and
identify them to
clarify the intent
• Typically used
with Dialogs to
condition the
response
Conversational Entities
23. • Dialogs can be
created to control
the flow of the
conversation
around specific
intents
Conversational Dialogs
24. Watson is available as a set of services delivered as APIs in the Cloud
Watson Foundational Skills are grouped into four categories
Ibm.com/bluemix
Foundational
Cognitive
Skills
Language
• Author
• Concepts
• Dates
• Entities
Speech
• Speech to Text
• Telephony Speech to Text
• Keyword Spotting
Vision
• Image Classification
• Face Detection and Attribution
• Celebrity Recognition
Empathy
• Personality Insights
• Tone Analyzer
• Emotion Analysis
• Text to Speech
• Expressive Text to Speech
• Relations
• Typed Relations
• Sentiment
• Taxonomy
• Text Extraction
• Feeds
• Keywords
• Language
• Microformats
• Publication Date
• Visual Text Recognition
• Similarity Searching
Can be combinedwith the 100s ofother available services on Bluemix
25. Tone Analyzer understands and helps fine tune your message
Uses psycholinguistics, emotion analysis and language analysis to assess Tone
Online Dating Profile
I'm a hard working adventurous, very talented man who's been caring
and helpful throughout my life, I like to travel, play my guitar, dance, and
cook, I love the beach, sailing my boat, and the outdoors.
I raised two great kids and now I'm starting a new chapter in my life.
Thanks.
What I’m doing with my life
Working toward a new goal, keeping fit, helping others, and traveling
whenever i get a chance.
I’m really good at Listening, enjoying the moment, and many other
things.
The six things I could never do without
Family, the ocean, intimacy, friends, adventure, music, love.
On a typical Friday night I am
Meeting with friends, listening to a band or playing my guitar, dancing or
just staying home with someone special and enjoying each other.
You should message me if
You're looking for a relationship with someone that likes to sail his boat,
ride bicycles, travel, swim, go to the beach, listen to music and enjoy
everyday pleasures together.
26. Emotional Analysis helps build empathetic systems
Uses state-of-the-art machine learning models and feature engineering techniques to predict emotion labels
30. Enables speech that
reflects intended tone
– Expressive SSML
– Voice Transformation
SSML
Expressive Text to Speech
31. Watson is available as a set of services delivered as APIs in the Cloud
KnowledgeOrganizationSkills
• Watson Knowledge Studio
• Document Conversion
• Retrieve and Rank
Knowledge
Organization
Skills
Ibm.com/bluemix
Can be combinedwith the 100s ofother available services on Bluemix
32. Enable subject matter experts
and developers to teach
Watson the linguistic nuances
of industries and knowledge
domains
Watson Knowledge Studio
33. Uses machine learning to
improve search across
documents using natural
language questions
Retrieve and Rank
34. Amplifying Human Cognition
Requires that we affect people in a very
human way
Human can be influenced by cognitive
experiences
– Something that creates a sense of
presence with people
– Something that inspires people
– Something that embodies intellectual
cognition with behavioral cognition
Project Intu is a Platform for creating
great cognitive experiences
avatars In-the-walls
devices
spaces wearables
robotics
Go to the Project Intu workshop to get access to the experimental platform and to
learn how to program Intu to create great cognitive experiences
35. • Amplify human creativity
- Inspiring us to new alternatives to decision options
- Bringing the breadth of all human knowledge to the tip of our tongue
• Learn their behavior through formal and informal training processes
• Interact with humans on our terms – in the language of humans
• Demonstrate their expertise through trust and depth of character
• Evolve strategies of success – adapting to ever changing knowledge and
understanding
• Establish transformative relationships between humans and machines
In 5 years, cognitive systems will be to computing what transaction
processing is today