What is machine learning? Is IA relevant in the age of AI? How can I take advantage of cognitive computing? Learn the basics of these concepts and the implications for your work in this presentation. Carol Smith provides examples of machine learning use and will discuss the challenges inherent in in AI.
Presented with Astrid Chow, Joel Wu, and Carol Smith at IA Summit 2017
Roundtable discussion about the ethical considerations involved when designing for healthcare
IA in the Age of AI: Embracing Abstraction and Change at IA Summit 2018Carol Smith
This session focuses on the questions we need to ask to create good, ethical experiences for our users.
Information Architects must push to…
- Keep people at the center of our work.
- Lead with our user’s goals.
- Ease of use, usability, findability, effectiveness, efficiency…
We must work to mature organizations approach
- Push back on “technology first” ideas.
- Lead on ethics - for our users, humanity.
Designing AI for Humanity at dmi:Design Leadership Conference in BostonCarol Smith
As design leaders we must enable our teams with skills and knowledge to take on the new and exciting opportunities that building powerful AI systems bring. Dynamic systems require transparency regarding data provenance, bias, training methods, and more, to gain user’s trust. Carol will cover these topics and challenge us as design leaders, to represent our fellow humans by provoking conversations regarding critical ethical and safety needs.
Presented at dmi:Design Leadership Conference in Boston in October 2018.
Designing Trustable AI Experiences at World Usability Day in ClevelandCarol Smith
How can designers improve trust of cognitive systems? What can we do to make these systems transparent? What information needs to be transparent? The biggest challenges inherent with AI will be discussed, specifically the ethical conflicts and the implications for your work, along with the basics of these concepts so that you can distinguish between simply smart systems and AI.
Presented at the World World Usability Day 2018 celebration in Cleveland, Ohio.
Prototyping for Beginners - Pittsburgh Inclusive Innovation Summit 2019Carol Smith
To design for inclusion we often must try out different ideas. In this interactive session you'll learn about all types of prototyping and how to get feedback on your ideas from your users. This session will briefly introduce a variety of prototypes and materials and evaluation methods for early learning.
Participants will have time to build a quick prototype and practice getting feedback on it. We'll cover designing for accessibility and inclusion even at the prototype stage. You'll have the information you need to launch your ideas as early as possible to learn from the experience and improve more quickly.
Presented at the Pittsburgh Inclusive Innovation Summit March 30, 2019 held at Point Park University.
Design vs.Cancer: Patients Win UXDC 2017Carol Smith
This 10 minute talk concluded with a panel with two other presenters.
How do you make an impact on people’s lives in three weeks? I was selected to work on a pro-bono project to help health providers in Ethiopia, Nigeria and Uganda to increase the availability and lower the cost of cancer treatments. We were challenged to create a fully functioning software solution that would meet the needs of health care workers in forecasting the need for chemotherapy during the 3-week timeline. I’ll share the experience of working on a fast-paced project with a cross-functional team in this session.
We worked closely with the American Cancer Society, Clinton Health Access Initiative, NCCN and oncologists to create the ChemoQuant solution.
Dynamic UXR: Ethical Responsibilities and AI. Carol Smith at Strive in TorontoCarol Smith
Artificially intelligent (AI) technologies are exciting and with them come a lot of new user experience research (UXR) responsibilities. How do we understand and clarify our users need for transparency, control, and access (and more) when the system is constantly changing?
These dynamic systems are already part of our everyday lives and quickly becoming part of our jobs. What are our responsibilities with regard to ethics and protecting users from bias?
Presented at Strive, June 7, 2019 in Toronto, Ontario, Canada. Strive is the 2019 UX Research Conference presented by the UX Research Collective Inc.
Presented with Astrid Chow, Joel Wu, and Carol Smith at IA Summit 2017
Roundtable discussion about the ethical considerations involved when designing for healthcare
IA in the Age of AI: Embracing Abstraction and Change at IA Summit 2018Carol Smith
This session focuses on the questions we need to ask to create good, ethical experiences for our users.
Information Architects must push to…
- Keep people at the center of our work.
- Lead with our user’s goals.
- Ease of use, usability, findability, effectiveness, efficiency…
We must work to mature organizations approach
- Push back on “technology first” ideas.
- Lead on ethics - for our users, humanity.
Designing AI for Humanity at dmi:Design Leadership Conference in BostonCarol Smith
As design leaders we must enable our teams with skills and knowledge to take on the new and exciting opportunities that building powerful AI systems bring. Dynamic systems require transparency regarding data provenance, bias, training methods, and more, to gain user’s trust. Carol will cover these topics and challenge us as design leaders, to represent our fellow humans by provoking conversations regarding critical ethical and safety needs.
Presented at dmi:Design Leadership Conference in Boston in October 2018.
Designing Trustable AI Experiences at World Usability Day in ClevelandCarol Smith
How can designers improve trust of cognitive systems? What can we do to make these systems transparent? What information needs to be transparent? The biggest challenges inherent with AI will be discussed, specifically the ethical conflicts and the implications for your work, along with the basics of these concepts so that you can distinguish between simply smart systems and AI.
Presented at the World World Usability Day 2018 celebration in Cleveland, Ohio.
Prototyping for Beginners - Pittsburgh Inclusive Innovation Summit 2019Carol Smith
To design for inclusion we often must try out different ideas. In this interactive session you'll learn about all types of prototyping and how to get feedback on your ideas from your users. This session will briefly introduce a variety of prototypes and materials and evaluation methods for early learning.
Participants will have time to build a quick prototype and practice getting feedback on it. We'll cover designing for accessibility and inclusion even at the prototype stage. You'll have the information you need to launch your ideas as early as possible to learn from the experience and improve more quickly.
Presented at the Pittsburgh Inclusive Innovation Summit March 30, 2019 held at Point Park University.
Design vs.Cancer: Patients Win UXDC 2017Carol Smith
This 10 minute talk concluded with a panel with two other presenters.
How do you make an impact on people’s lives in three weeks? I was selected to work on a pro-bono project to help health providers in Ethiopia, Nigeria and Uganda to increase the availability and lower the cost of cancer treatments. We were challenged to create a fully functioning software solution that would meet the needs of health care workers in forecasting the need for chemotherapy during the 3-week timeline. I’ll share the experience of working on a fast-paced project with a cross-functional team in this session.
We worked closely with the American Cancer Society, Clinton Health Access Initiative, NCCN and oncologists to create the ChemoQuant solution.
Dynamic UXR: Ethical Responsibilities and AI. Carol Smith at Strive in TorontoCarol Smith
Artificially intelligent (AI) technologies are exciting and with them come a lot of new user experience research (UXR) responsibilities. How do we understand and clarify our users need for transparency, control, and access (and more) when the system is constantly changing?
These dynamic systems are already part of our everyday lives and quickly becoming part of our jobs. What are our responsibilities with regard to ethics and protecting users from bias?
Presented at Strive, June 7, 2019 in Toronto, Ontario, Canada. Strive is the 2019 UX Research Conference presented by the UX Research Collective Inc.
UX in the Age of AI: Leading with Design UXPA2018Carol Smith
How can designers improve trust of cognitive systems? What can we do to make these systems transparent? What information needs to be transparent? The biggest challenges inherent with AI will be discussed, specifically the ethical conflicts and the implications for your work, along with the basics of these concepts so that you can strive for making great AI systems.
Making Great User Experiences at Cleveland C# .Net Meetup July 27 2017Carol Smith
Everything is designed, yet some interactions are much better than others. What does it take to make a great experience? Carol introduces basic concepts in user experience design that you can use to improve your work. You'll learn the basics of: cognitive psychology; accessibility; design thinking; interaction design; and visual design. These concepts work together to make great user experiences and Carol will help you to understand how this work can be integrated into your existing software development process.
Business growth principles in the new economy Ashish Bedekar
A presentation I made @ Palava #Smartcity #startup accelerator on 19th April 2018. http://bit.ly/2qz5Xr2
#1 About me:
You may like to check out https://ashishbedekar.fyi.to/ecosystems which gives an overview of my profile, including LinkedIn recommendations
#2: Connect with me http://www.linkedin.com/in/ashishrbedekar | Twitter: @ashishrbedekar
#3 I believe in giving back to the community e.g
- Pro-bono startup advisor @Zone startup- an Indo-Canadian start-up Accelerator http://bit.ly/2o9XNqa
- Pro-bono startup advisor@ Supercharger Fintech accelerator ( KL, HK) http://bit.ly/2ErcM6S
- Pro-bono startup advisor@ NIT Trichy- International biz competition- http://bit.ly/2AQxqYu
-Mentor of change- Govt. of India- Atal innovation mission http://bit.ly/2HMdWrV
-Member of IET- IoT India (The IET is one of the world's largest multi-discipline professional societies of engineers with more than 160,000 members in 127 countries) http://bit.ly/2o9Pue9
-Mentor for startup boot camp-E- Cell- IIT Madras- one of India’s leading engineering college- http://bit.ly/2G6nRMg
Demystifying Artificial Intelligence: Solving Difficult Problems at ProductCa...Carol Smith
Artificially intelligent systems are becoming part of our everyday lives. This session will answer your questions about artificial intelligence, machine learning, and the ethical conflicts and the implications inherent in these technologies. Topics covered will include: discussions of bias in data; how to focus on the user experience; what is necessary to build a good cognitive computing systems; data needs; levels of accuracy; making safe and secure AI's; and discussions on ethics in AI and our role in leading those conversations. Carol will propose simple models for thinking about these systems and provide time for questions. You will walk away with an awareness of the weaknesses of AI and the knowledge of how these systems work.
Selected by the audience to be presented at ProductCamp Pittsburgh in September 2018
Leaders across the world are looking out for different strategies thru which they can leverage AI.
Realizing this we have successfully organized an event on "AI 4 Institution Leaders" at Nasik focused on the need for AI for educational institutions for the first time in India.
IA is Elemental: People are Fundamental at World IA Day 2020 PittsburghCarol Smith
Information architects work in a system with ourselves at the center. We are fundamental to making great experiences and as such, we must care for ourselves in order to best represent the people using the systems we are creating. Prioritizing the needs of users comes next, and with that protecting them by caring about diversity, inclusion and ethics. Finally, collaboration with colleagues and communities that influence our work can be done by educating them about IA work.
UX in the Age of AI: Where Does Design Fit In? Fluxible 2017Carol Smith
Cognitive computing and machine learning are not new concepts, but they are new to most UX’ers. Carol Smith addresses questions about artificial intelligence (AI) such as:
- What are these terms and technologies and how do they work?
- How can we take advantage of these powerful systems to help our users?
- Should I be concerned that computers will take over the world soon? Spoiler: It is extremely unlikely.
Once this baseline understanding is established, we’ll look at examples of AI in use and discuss the relevancy of design work in the age of AI. Additionally, we’ll explore the ethical challenges inherent with the use of AI from the user’s perspective, specifically regarding trust and transparency.
This was presented at Fluxible 2017 in Kitchener-Waterloo, Ontario, Canada on 23 Sept 2017.
Artificial Intelligence & Software Testing: Hype or Hysteria?Johan Steyn
The slides from my talk at SIGiST Johannesburg on 20 June 2018. The video will be available in a few days - sign up at www.thebusinessoftesting.com
The URL of the video on the last slide: https://youtu.be/Y9FOyoS3Fag
Demystifying AI | Mathias Vercauteren | Keynote at AI 4 Business Summit | Bru...Mathias Vercauteren
Artificial Intelligence (AI) has become an exponentially growing technology over the past decades. It moved from Science Fiction to Science Fact, but a lot of companies aren’t ready yet for AI. In this dynamic and eye-opening Keynote Mathias Vercauteren gave at the AI 4 Business Summit in Brussel in 2019 (March 14), you get a real sense of the technological exponential growth and a good understanding of the proximity of AI. Vercauteren transforms your mindset and provides tactics and strategies to innovate and transform your company. Under the motto of think big, start small, he establishes a culture of Moonshot thinking & 10X your goals to enable AI in your company.
____________________________________________
Check out the video on to the One Data Partner channel here: https://www.youtube.com/channel/UCVtXnQQwfYLEgyTyJzQqfZQ?sub_confirmation=1
____________________________________________
► Subscribe to Mathias Vercauteren Channel: https://www.youtube.com/channel/UCmRXmVy9L6vqUB0-0a7Eshw?sub_confirmation=1 to learn more about data, technology and business.
____________________________________________
Mathias Vercauteren is a thought leader on the transforming relationship between business, data & innovative technology. As founder of One Data Partner and being a dynamic inspirational keynote speaker, he inspires businesses and helps them exploit the full potential of their data.
In his powerful keynotes, Mathias delivers real value to his audience by showing them how to drive breakthrough thinking and innovation within their company in a way that delivers clear, measurable and objective results.
Having worked with international companies like Hilti (electronics manufacturing), Barry Callebaut (food manufacturing) and Carrefour (retail), Mathias is a seasoned data strategist, consultant & trainer who served as a trusted advisor for different management teams and boards. He gives his clients and his audiences a true understanding of the immediacy of the current disruptive technologies and the importance of data.
____________________________________________
VLAB Talk: AI, Deep Learning, and the Future of BusinessSteve Omohundro
AI and robotics are poised to create $50 trillion of value in the next 10 years. This is causing hundreds of startups to be created with billions of dollars of investment. Over 250 of these are based on "deep learning neural networks". This talk explores the impact of AI and the recent successes of deep learning.
Semantics, Deep Learning, and the Transformation of BusinessSteve Omohundro
Deep learning is likely to have a big impact on business. McKinsey predicts that AI and robotics will create $50 trillion of value over the next 10 years. Over $1 billion of venture investment has gone to 250 deep learning startups over the past year. Deep learning systems have recently broken records in speech recognition, image recognition, image captioning, translation, drug discovery and other tasks. Why is this happening now and how is it likely to play out? We review the development of AI and the pendulum swings between the "neats" and the "scruffies". We describe traditional approaches to semantics through logics and grammars and the new deep learning vector semantics. We relate it to Roger Shepard's cognitive geometry and the structure of biological networks. We also describe limitations of deep learning for safety and regulation. We show how it fits into the rational agent framework and discuss what the next steps may be.
Artificial intelligence is more and more becoming the core of digital products. Designing for Products based on AI requires Designers to know about Machine Learning.
This talk is an easy walk through the most important elements of Machine Learning. It looks at the fundamental principles of using practical examples. It showcases applications of the different types of Machine Learning. The use-cases range from text categorization to image recognition, on to speech analysis. The goal is to show what is important for designers and why.
AI and Machine Learning Demystified by Carol Smith at Midwest UX 2017Carol Smith
What is machine learning? Is UX relevant in the age of artificial intelligence (AI)? How can I take advantage of cognitive computing? Get answers to these questions and learn about the implications for your work in this session. Carol will help you understand at a basic level how these systems are built and what is required to get insights from them. Carol will present examples of how machine learning is already being used and explore the ethical challenges inherent in creating AI. You will walk away with an awareness of the weaknesses of AI and the knowledge of how these systems work.
The ppt Sujoy and I made for the Psi Phi ( An Inter School Competition held by our School). Our Topic was Artificial Intelligence.
Credits:
Theme Images from ESET NOD32 (My Antivirus of Choice)
Backgrounds from SwimChick.net (Amazing designs here)
Credits Image from Full Metal Alchemist (One of my favorite Anime).
UX in the Age of AI: Leading with Design UXPA2018Carol Smith
How can designers improve trust of cognitive systems? What can we do to make these systems transparent? What information needs to be transparent? The biggest challenges inherent with AI will be discussed, specifically the ethical conflicts and the implications for your work, along with the basics of these concepts so that you can strive for making great AI systems.
Making Great User Experiences at Cleveland C# .Net Meetup July 27 2017Carol Smith
Everything is designed, yet some interactions are much better than others. What does it take to make a great experience? Carol introduces basic concepts in user experience design that you can use to improve your work. You'll learn the basics of: cognitive psychology; accessibility; design thinking; interaction design; and visual design. These concepts work together to make great user experiences and Carol will help you to understand how this work can be integrated into your existing software development process.
Business growth principles in the new economy Ashish Bedekar
A presentation I made @ Palava #Smartcity #startup accelerator on 19th April 2018. http://bit.ly/2qz5Xr2
#1 About me:
You may like to check out https://ashishbedekar.fyi.to/ecosystems which gives an overview of my profile, including LinkedIn recommendations
#2: Connect with me http://www.linkedin.com/in/ashishrbedekar | Twitter: @ashishrbedekar
#3 I believe in giving back to the community e.g
- Pro-bono startup advisor @Zone startup- an Indo-Canadian start-up Accelerator http://bit.ly/2o9XNqa
- Pro-bono startup advisor@ Supercharger Fintech accelerator ( KL, HK) http://bit.ly/2ErcM6S
- Pro-bono startup advisor@ NIT Trichy- International biz competition- http://bit.ly/2AQxqYu
-Mentor of change- Govt. of India- Atal innovation mission http://bit.ly/2HMdWrV
-Member of IET- IoT India (The IET is one of the world's largest multi-discipline professional societies of engineers with more than 160,000 members in 127 countries) http://bit.ly/2o9Pue9
-Mentor for startup boot camp-E- Cell- IIT Madras- one of India’s leading engineering college- http://bit.ly/2G6nRMg
Demystifying Artificial Intelligence: Solving Difficult Problems at ProductCa...Carol Smith
Artificially intelligent systems are becoming part of our everyday lives. This session will answer your questions about artificial intelligence, machine learning, and the ethical conflicts and the implications inherent in these technologies. Topics covered will include: discussions of bias in data; how to focus on the user experience; what is necessary to build a good cognitive computing systems; data needs; levels of accuracy; making safe and secure AI's; and discussions on ethics in AI and our role in leading those conversations. Carol will propose simple models for thinking about these systems and provide time for questions. You will walk away with an awareness of the weaknesses of AI and the knowledge of how these systems work.
Selected by the audience to be presented at ProductCamp Pittsburgh in September 2018
Leaders across the world are looking out for different strategies thru which they can leverage AI.
Realizing this we have successfully organized an event on "AI 4 Institution Leaders" at Nasik focused on the need for AI for educational institutions for the first time in India.
IA is Elemental: People are Fundamental at World IA Day 2020 PittsburghCarol Smith
Information architects work in a system with ourselves at the center. We are fundamental to making great experiences and as such, we must care for ourselves in order to best represent the people using the systems we are creating. Prioritizing the needs of users comes next, and with that protecting them by caring about diversity, inclusion and ethics. Finally, collaboration with colleagues and communities that influence our work can be done by educating them about IA work.
UX in the Age of AI: Where Does Design Fit In? Fluxible 2017Carol Smith
Cognitive computing and machine learning are not new concepts, but they are new to most UX’ers. Carol Smith addresses questions about artificial intelligence (AI) such as:
- What are these terms and technologies and how do they work?
- How can we take advantage of these powerful systems to help our users?
- Should I be concerned that computers will take over the world soon? Spoiler: It is extremely unlikely.
Once this baseline understanding is established, we’ll look at examples of AI in use and discuss the relevancy of design work in the age of AI. Additionally, we’ll explore the ethical challenges inherent with the use of AI from the user’s perspective, specifically regarding trust and transparency.
This was presented at Fluxible 2017 in Kitchener-Waterloo, Ontario, Canada on 23 Sept 2017.
Artificial Intelligence & Software Testing: Hype or Hysteria?Johan Steyn
The slides from my talk at SIGiST Johannesburg on 20 June 2018. The video will be available in a few days - sign up at www.thebusinessoftesting.com
The URL of the video on the last slide: https://youtu.be/Y9FOyoS3Fag
Demystifying AI | Mathias Vercauteren | Keynote at AI 4 Business Summit | Bru...Mathias Vercauteren
Artificial Intelligence (AI) has become an exponentially growing technology over the past decades. It moved from Science Fiction to Science Fact, but a lot of companies aren’t ready yet for AI. In this dynamic and eye-opening Keynote Mathias Vercauteren gave at the AI 4 Business Summit in Brussel in 2019 (March 14), you get a real sense of the technological exponential growth and a good understanding of the proximity of AI. Vercauteren transforms your mindset and provides tactics and strategies to innovate and transform your company. Under the motto of think big, start small, he establishes a culture of Moonshot thinking & 10X your goals to enable AI in your company.
____________________________________________
Check out the video on to the One Data Partner channel here: https://www.youtube.com/channel/UCVtXnQQwfYLEgyTyJzQqfZQ?sub_confirmation=1
____________________________________________
► Subscribe to Mathias Vercauteren Channel: https://www.youtube.com/channel/UCmRXmVy9L6vqUB0-0a7Eshw?sub_confirmation=1 to learn more about data, technology and business.
____________________________________________
Mathias Vercauteren is a thought leader on the transforming relationship between business, data & innovative technology. As founder of One Data Partner and being a dynamic inspirational keynote speaker, he inspires businesses and helps them exploit the full potential of their data.
In his powerful keynotes, Mathias delivers real value to his audience by showing them how to drive breakthrough thinking and innovation within their company in a way that delivers clear, measurable and objective results.
Having worked with international companies like Hilti (electronics manufacturing), Barry Callebaut (food manufacturing) and Carrefour (retail), Mathias is a seasoned data strategist, consultant & trainer who served as a trusted advisor for different management teams and boards. He gives his clients and his audiences a true understanding of the immediacy of the current disruptive technologies and the importance of data.
____________________________________________
VLAB Talk: AI, Deep Learning, and the Future of BusinessSteve Omohundro
AI and robotics are poised to create $50 trillion of value in the next 10 years. This is causing hundreds of startups to be created with billions of dollars of investment. Over 250 of these are based on "deep learning neural networks". This talk explores the impact of AI and the recent successes of deep learning.
Semantics, Deep Learning, and the Transformation of BusinessSteve Omohundro
Deep learning is likely to have a big impact on business. McKinsey predicts that AI and robotics will create $50 trillion of value over the next 10 years. Over $1 billion of venture investment has gone to 250 deep learning startups over the past year. Deep learning systems have recently broken records in speech recognition, image recognition, image captioning, translation, drug discovery and other tasks. Why is this happening now and how is it likely to play out? We review the development of AI and the pendulum swings between the "neats" and the "scruffies". We describe traditional approaches to semantics through logics and grammars and the new deep learning vector semantics. We relate it to Roger Shepard's cognitive geometry and the structure of biological networks. We also describe limitations of deep learning for safety and regulation. We show how it fits into the rational agent framework and discuss what the next steps may be.
Artificial intelligence is more and more becoming the core of digital products. Designing for Products based on AI requires Designers to know about Machine Learning.
This talk is an easy walk through the most important elements of Machine Learning. It looks at the fundamental principles of using practical examples. It showcases applications of the different types of Machine Learning. The use-cases range from text categorization to image recognition, on to speech analysis. The goal is to show what is important for designers and why.
AI and Machine Learning Demystified by Carol Smith at Midwest UX 2017Carol Smith
What is machine learning? Is UX relevant in the age of artificial intelligence (AI)? How can I take advantage of cognitive computing? Get answers to these questions and learn about the implications for your work in this session. Carol will help you understand at a basic level how these systems are built and what is required to get insights from them. Carol will present examples of how machine learning is already being used and explore the ethical challenges inherent in creating AI. You will walk away with an awareness of the weaknesses of AI and the knowledge of how these systems work.
The ppt Sujoy and I made for the Psi Phi ( An Inter School Competition held by our School). Our Topic was Artificial Intelligence.
Credits:
Theme Images from ESET NOD32 (My Antivirus of Choice)
Backgrounds from SwimChick.net (Amazing designs here)
Credits Image from Full Metal Alchemist (One of my favorite Anime).
This talk is about how we applied deep learning techinques to achieve state-of-the-art results in various NLP tasks like sentiment analysis and aspect identification, and how we deployed these models at Flipkart
Barriere Paramassi Etag027 e Norme Tecniche delle CstruzioniRockfall Defence
Breve presentazione che descrive in maniera molto semplificata quali conseguenze avrà l'entrata in vigore delle Norme Tecniche delle Costruzioni per il mercato delle barriere paramassi
New design approach on rockfall Embankment Thomas Frenez
La costruzione di rilevati paramassi in terra rinforzata sta diventando una soluzione comune per la protezione dal fenomeno della caduta massi. Questo tipo di strutture risulta infatti veloce e semplice da realizzare, e ha un impatto ambientale ridotto grazie al veloce attecchimento della vegetazione dopo la costruzione. Nonostante la semplicità di costruzione, il comportamento dinamico di tali strutture in risposta all’impatto di blocchi in roccia risulta complesso da modellare; nel corso degli anni sono stati proposti ed utilizzati numerosi modelli di calcolo, basati su concetti afferenti la balistica, sul principio dell’urto anelastico o su formulazioni geotecniche di tipo empirico. Alla luce delle richieste della nuova normativa italiana, gli autori si propongono di mostrare un caso di applicazione di un nuovo modello di calcolo (Carotti et al., 2003; di Prisco C. e Vecchiotti M., 2004) alla progettazione di un rilevato paramassi nel Comune di Ala (TN), finanziato dalla Provincia Autonoma di Trento. Lo strumento è in grado di valutare non solo la profondità di penetrazione del blocco all’interno del rilevato, ma anche gli effetti di una possibile attivazione di un meccanismo di rottura più ampio all’interno dello stesso.
AI and Machine Learning Demystified by Carol Smith at Midwest UX 2017 Tarzan2000
What is machine learning? Is UX relevant in the age of artificial intelligence (AI)? How can I take advantage of cognitive computing? Get answers to these questions and learn about the implications for your work in this session. Carol will help you understand at a basic level how these systems are built and what is required to get insights from them. Carol will present examples of how machine learning is already being used and explore the ethical challenges inherent in creating AI. You will walk away with an awareness of the weaknesses of AI and the knowledge of how these systems work.
AI and machne learning is a part of life nowdays.As the technology is booming AI and Machine Learning also must be demystified.You can also try affiliate marketing to make money buy this course and you will be an expert in affiliate marketing.Click the link below and become an expert.
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Auto AI : AI used to create AI applicationsKaran Sachdeva
Building AI applications is a very complex process involving steps and workflows which are becoming more complex every other day. Its a circle since the AI application is nothing but a feedback loop between various steps involving data. Consider the below picture a data scientist or ML engineer has to work through. Now my mission as an evangelist of the AI technology who sees a lot of promise in this technology would like to make it simple so we can empower more professionals in the business to become what we call "citizen data scientists". A citizen data scientist is a business person empowered so well that he can combine his domain knowledge with tools an expert data scientist uses in a simplified way. We have seen this impacting customer experience in 5x and revenue increase in the range of 15-20%.
Navigating the Complexity of Trust at UXPA Boston 2021Carol Smith
Trust is complex and transient. Context, safety, privacy, respect, and many other considerations are built into each individuals’ concept of trust. How can we examine this complexity in a way that supports the work of making digital experiences? What research supports this work and how can we use practices of responsible development to make systems that earn appropriate levels of trust? What is an appropriate level of trust for emerging technologies such as machine learning systems? This talk will examine trust and how UX practitioners can define and measure it.
Carol J. Smith
September 24, 2021
Carnegie Mellon University, SEI
Twitter: @carologic @sei_etc
Implementing Ethics: Developing Trustworthy AI PyCon 2020Carol Smith
Ethics discussions abound, but translating “do no harm” into our work is frustrating at best, and obfuscatory at worst. We can agree that keeping humans safe and in control is important, but implementing ethics is intimidating work.
Learn how to wield your preferred technology ethics code to make an AI system that is accountable, de-risked, respectful, secure, honest and usable. The presenter will introduce the topic of ethics and then step through a user experience (UX) framework to guide AI development teams successfully through this process.
Presented virtually for PyCon 2020 which was to be held in Pittsburgh, PA, but was reorganized online due to Covid-19.
Designing Trustworthy AI: A User Experience Framework at RSA 2020Carol Smith
Artificial intelligence (AI) holds great promise to empower us with knowledge and scaled effectiveness. To harness the power of AI systems, we can—and must—ensure that we keep humans safe and in control. This session will introduce a new user experience (UX) framework to guide the creation of AI systems that are accountable, de-risked, respectful, secure, honest and usable.
Presented at the RSA Conference 2020 in San Francisco, CA on February 28, 2020.
Gearing up for Ethnography, Michigan State, World Usability Day 2019Carol Smith
Prepping for UX research can be intimidating, and there is never enough time or resources. Carol will share her personal experiences in the field, both good and bad. She has learned the hard way, doing observations in moving vehicles, coal mines, hospitals, schools, homes, and offices. She will also share interesting anecdotes from colleagues and review both ethical and behavioral standards for researchers. The key is to prepare well, learn to be flexible and to adapt to the situation.
Presented at World Usability Day 2019 at Michigan State University with Michigan UXPA
Designing Trustworthy AI: A Human-Machine Teaming Framework to Guide Developm...Carol Smith
"Designing Trustworthy AI: A Human-Machine Teaming Framework to Guide Development" is a paper presented at the AAAI 2019 Fall Symposium on AI in Government and the Public Sector, (sponsored by the Association for the Advancement of Artificial Intelligence) in Washington, DC, November 7–9, 2019.
Artificial intelligence (AI) holds great promise to empower us with knowledge and augment our effectiveness. We can -- and must -- ensure that we keep humans safe and in control, particularly with regard to government and public sector applications that affect broad populations. How can AI development teams harness the power of AI systems and design them to be valuable to humans? Diverse teams are needed to build trustworthy artificial intelligent systems, and those teams need to coalesce around a shared set of ethics. There are many discussions in the AI field about ethics and trust, but there are few frameworks available for people to use as guidance when creating these systems. The Human-Machine Teaming (HMT) Framework for Designing Ethical AI Experiences described in this paper, when used with a set of technical ethics, will guide AI development teams to create AI systems that are accountable, de-risked, respectful, secure, honest, and usable. To support the team's efforts, activities to understand people's needs and concerns will be introduced along with the themes to support the team's efforts. For example, usability testing can help determine if the audience understands how the AI system works and complies with the HMT Framework. The HMT Framework is based on reviews of existing ethical codes and best practices in human-computer interaction and software development. Human-machine teams are strongest when human users can trust AI systems to behave as expected, safely, securely, and understandably. Using the HMT Framework to design trustworthy AI systems will provide support to teams in identifying potential issues ahead of time and making great experiences for humans.
On the Road: Best Practices for Autonomous Experiences at WUC19Carol Smith
Presented at the World Usability Congress in Graz, Austria on October 16, 2019.
Self-driving vehicles are still a rarity in most cities, but as they become more common and as more and more humans interact with them we need to consider the wide variety of human experiences that occur within and along-side these vehicles. What information does the driver need when the vehicle is getting started vs. on it’s way? What information engenders trust and how much is too much? What changes due to experience level and comfort? How do we account for reliable easy commutes and people who use vehicles differently each day? How do these vehicles interact with other drivers, pedestrians, bicyclists and general society?
Designing More Ethical and Unbiased Experiences - AbstractionsCarol Smith
Presented at Abstractions, Pittsburgh, PA
Karen Bachmann and Carol Smith, August 23, 2019
Humans are biased, and sadly, we are not always able to filter our deeply ingrained biases. UX designers and researchers have long understood this, but as we watch major technology companies make significant mistakes with regard to ethics and bias, the cost of not accounting for bias and ethics is becoming more evident and widely known.
Even knowing what pitfalls exist, we still miss opportunities for doing good as a result of our own human biases obscuring our vision. We need tools to explore and challenge our biases in a productive way to deliver better outcomes. We need a set of shared values within teams and, ultimately, across the industry to promote our common responsibility to deliver the greatest benefit while causing the least amount of harm. How can we work together to intensify the focus on ethical design? In this session, we’ll share ways you can empower yourself and your teams to do the right thing for people.
Navigating challenges in IA people management at IAC19Carol Smith
Whether you are building a team, managing experience practitioners or navigating career changers, managing a team of creative and analytical IA practitioners can be challenging. The welcome change towards diverse and inclusive hiring practices can add even more challenges.
Learn how an experienced manager navigated through painful challenges and wonderful successes while managing large and small design departments in organizations with employees around the world. Presented at IA Conference 2019 in Orlando Florida by Carol Smith.
What can DesignOps do for you? by Carol Smith at TLMUX in MontrealCarol Smith
You have probably seen the terms DesignOps and/or ResearchOps float by in your social media queue. These teams make designing (and researching) at scale beautifully efficient and successful. Carol steps through how these teams work, the types of activities they perform, situations they are helpful for, and ways you can leverage these types of programs in your organization. Carol will share examples from her experiences and stories from other organizations that are using Design Ops to do effective design at scale.
Presented at Tout le monde UX in Montreal, Quebec, Canada on February 28, 2019. http://toutlemonde-ux.com/
Gearing up for Ethnography at Midwest UX 2018Carol Smith
We are all low on time and resources, and our UX research must occur wherever and whenever possible. Carol will share her personal experiences in the field, both good and bad. She has learned the hard way doing observations in moving vehicles, coal mines, hospitals, schools, homes, and offices. She will also share interesting anecdotes from colleagues and review both ethical and behavioral standards for researchers. The key is to prepare well, learn to be flexible and to adapt to the situation.
Presented at Midwest UX 2018 held in Chicago, IL.
Product Design in Agile Environments: Making it Work at ProductCamp PittsburghCarol Smith
Can Product Design work in Agile environments? Yes! Balancing people and process can be complicated, and in this talk, Carol will provide you guidance to make it work. You can inform good design with strong user experience (UX) research and support continuous releases in a fast-paced environment. We'll look at ways to achieve a flexible approach that meets the needs of these seemingly conflicting efforts. Participants will come away with the tools they need to successfully integrate design thinking methods, in an Agile environment, one sprint at a time.
Selected for presentation at ProductCamp Pittsburgh in September 2018 at Carnegie Mellon University (CMU).
Making Great User Experiences, Pittsburgh Scrum MeetUp, Oct 17, 2017Carol Smith
Everything is designed, yet some interactions are much better than others. What does it take to make a great experience? What are the areas that UX specialists focus on? How do skills in cognitive psycology, computer science and design come together? Carol introduces basic concepts in user experience design that you can use to improve the user's expeirence and/or clearly communicate with designers.
Faster Usability Testing in an Agile World - Agile UX Virtual Summit 2017 by ...Carol Smith
Carol Smith presented "Faster Usability Testing in an Agile World" via webinar during the Agile UX Virtual Summit 2017 by UXPin.
This presentation covers:
- Brief intro to how the IBM Watson Design team runs continuous usability tests and integrates the UX team
- How design work fits into the Agile process via dual track development
- When to run moderated, un-moderated, remote, and in-person studies
- How to effectively communicate UX findings and recommendations
Making Faster UX in an Agile World - HOAPitt 2017Carol Smith
Carol Smith presented this topic at the Heart of Agile conference in Pittsburgh, PA in April 2017.
UX Slows Agile down! Do you hear that a lot? Carol shared best practices and how to dispel this myth in this session. The presentation included discussions of how to successfully embedding the UX team and the pros and cons of Agile projects. Carol will introduce methods for the UX team to break down and include their work in the backlog so it can get prioritized. Finally, Carol will discuss several successful ways to integrate usability testing across iterations.
DIY Usability Testing for Business Analysts (BA)Carol Smith
This presentation provides techniques for business analysts (BA's) to begin conducting their own usability tests. This was presented to the Pittsburgh IIBA Chapter on January 9, 2017.
Mature Products: The Cycle of UX Reinvention UXPA 2016Carol Smith
As products mature, the user’s needs change over time and so must the way we work. This presentation discusses various experiences working on mature software and complex Web applications and a set of best practices.
Presented to the IIBA (International Institute of Business Analysis) Pittsburgh, PA Chapter on February 8, 2016.
Most Business Analysts have plenty of experience when it comes to mapping database fields across a system interface, but where do you put those fields in a user interface? As BAs, we're used to wearing different hats: Project Manager, Tester, Developer. But since the invention of the iPod, everyone is becoming more aware of User Experience.
We've all experienced a hard-to-use website or those old green screen applications where you had the F-Key menus memorized by the end of your first month. But F-Keys and clicking through ten pages of options to get to the submit button won't cut it anymore.
In this presentation Carol Smith walks us through some basics to help you create a User Experience that won't make your end users to throw up their hands in frustration.
Methods such as user focused interviews, card sorts and usability testing best practices are introduced with the intent that BA's can use these tools immediately in their workplace.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™UiPathCommunity
In questo evento online gratuito, organizzato dalla Community Italiana di UiPath, potrai esplorare le nuove funzionalità di Autopilot, il tool che integra l'Intelligenza Artificiale nei processi di sviluppo e utilizzo delle Automazioni.
📕 Vedremo insieme alcuni esempi dell'utilizzo di Autopilot in diversi tool della Suite UiPath:
Autopilot per Studio Web
Autopilot per Studio
Autopilot per Apps
Clipboard AI
GenAI applicata alla Document Understanding
👨🏫👨💻 Speakers:
Stefano Negro, UiPath MVPx3, RPA Tech Lead @ BSP Consultant
Flavio Martinelli, UiPath MVP 2023, Technical Account Manager @UiPath
Andrei Tasca, RPA Solutions Team Lead @NTT Data
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
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.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
2. AI is when Machines
– Exhibit intelligence
– Perceive their environment
– Take actions to maximize
chance of success at a goal
https://developer.softbankrobotics.com/us-en/showcase/nao-ibm-create-new-hilton-concierge
3. IBM Watson / AI for IA's: Machine Learning Demystified
@carologic / #ias17 IA Summit 2017
Algorithm: Process or set of rules to be followed
https://www.analyticsvidhya.com/blog/2015/08/common-machine-learning-
algorithms/
4. IBM Watson / AI for IA's: Machine Learning Demystified
@carologic / #ias17 IA Summit 2017
Primer on Terms
• AI
– Artificial intelligence, Augmented Intelligence, Cognitive Computing
• Machine Learning (ML)
• Natural Language Processing (NLP)
• API’s - Application program interface
5. IBM Watson / AI for IA's: Machine Learning Demystified
@carologic / #ias17 IA Summit 2017
In the extreme…
Google Search for “movies with AI”
Copyrights as labeled.
6. IBM Watson / AI for IA's: Machine Learning Demystified
@carologic / #ias17 IA Summit 2017
How do machines learn?
https://commons.wikimedia.org/wiki/File:Baby_Boy_Oliver.jpg
7. IBM Watson / AI for IA's: Machine Learning Demystified
@carologic / #ias17 IA Summit 2017
Transfer human concepts and relationships
Photo by sunlightfoundation
https://www.flickr.com/photos/sunlightfoundation/2385174105
8. IBM Watson / AI for IA's: Machine Learning Demystified
@carologic / #ias17 IA Summit 2017
Number Five “Needs Input”
Short Circuit (1986 film)
Ally Sheedy and Number Five (Tim Blaney)
https://en.wikipedia.org/wiki/Short_Circuit_(1986_film)
9. IBM Watson / AI for IA's: Machine Learning Demystified
@carologic / #ias17 IA Summit 2017
Annotating Content
Image created by Angela Swindell, Visual
Designer, IBM’er on Watson Knowledge Studio
10. IBM Watson / AI for IA's: Machine Learning Demystified
@carologic / #ias17 IA Summit 2017
Entity Type
• High level concepts applied to a mention
PERSON
Amanda Amanda Tomlin She
Model created by Angela Swindell, Visual
Designer, IBM’er on Watson Knowledge Studio
11. IBM Watson / AI for IA's: Machine Learning Demystified
@carologic / #ias17 IA Summit 2017
Define Entity Types
PERSON ORGANIZATION TIME
Amanda works at IBM.
She has worked for the company for 15 years.
Model created by Angela Swindell, Visual
Designer, IBM’er on Watson Knowledge Studio
12. IBM Watson / AI for IA's: Machine Learning Demystified
@carologic / #ias17 IA Summit 2017
Define Relationships
employedBy
Model created by Angela Swindell, Visual
Designer, IBM’er on Watson Knowledge Studio
13. IBM Watson / AI for IA's: Machine Learning Demystified
@carologic / #ias17 IA Summit 2017
Relation type
employedBy
employedBy
Amanda works at IBM.
She has worked for the company for 15 years.
Model created by Angela Swindell, Visual
Designer, IBM’er on Watson Knowledge Studio
14. IBM Watson / AI for IA's: Machine Learning Demystified
@carologic / #ias17 IA Summit 2017
Continue: Create Dictionaries, Rules and More…
Amanda works at IBM.
She has worked for the company for 15 years.
EmployedBy ORGANIZATION
Model created by Angela Swindell, Visual
Designer, IBM’er on Watson Knowledge Studio
15. IBM Watson / AI for IA's: Machine Learning Demystified
@carologic / #ias17 IA Summit 2017
This looks familiar?
• It is IA at it’s heart
• Organizing huge amounts of information
• Requires deep understanding of the content
• Taxonomies and ontologies come to life
16. IBM Watson / AI for IA's: Machine Learning Demystified
@carologic / #ias17 IA Summit 2017
Enormous amount of work.
Only as good as data
and time spent improving it.
17. IBM Watson / AI for IA's: Machine Learning Demystified
@carologic / #ias17 IA Summit 2017
Comparison of Machine Training
Training Duration Knowledge / Accuracy
Manual Months to years Best
Supervised
ML
Weeks to months High potential
Unsupervised
ML
Days to weeks Core knowledge only
18. IBM Watson / AI for IA's: Machine Learning Demystified
@carologic / #ias17 IA Summit 2017
Supervised (by a human) Machine Learning
Watson Knowledge Studio, Supervised Machine Learning:
https://www.ibm.com/us-en/marketplace/supervised-machine-learning
19. IBM Watson / AI for IA's: Machine Learning Demystified
@carologic / #ias17 IA Summit 2017
Knowledge and Accuracy
• How important is accuracy?
• Consider a reverse card sorting exercise
20. IBM Watson / AI for IA's: Machine Learning Demystified
@carologic / #ias17 IA Summit 2017
Across industries – does accuracy vary?
• Government safety compliance
• Financial compliance
• Ecommerce chat bot
21. IBM Watson / AI for IA's: Machine Learning Demystified
@carologic / #ias17 IA Summit 2017
Why does training take so long?
• Create algorithms
• Gather documents
• Create ground truth (annotation)
• Run training
• Improve and test again
• Repeat (new information, etc.)
22. IBM Watson / AI for IA's: Machine Learning Demystified
@carologic / #ias17 IA Summit 2017
Dependent on Experts
• Subject Matter Experts (SME’s) Availability
• Experience in Training varies
– Close collaboration
23. IBM Watson / AI for IA's: Machine Learning Demystified
@carologic / #ias17 IA Summit 2017
“The goal is not just the fastest
but the most productive
machine-learning platform for researchers.”
- Pradeep Dubey,
an Intel Fellow at the Intel Labs division
http://www.intel.com/content/www/us/en/analytics/machine
-learning/the-race-for-faster-machine-learning.html
24. IBM Watson / AI for IA's: Machine Learning Demystified
@carologic / #ias17 IA Summit 2017
Saving Time
Researcher’s office
subject to bookalanches
25. IBM Watson / AI for IA's: Machine Learning Demystified
@carologic / #ias17 IA Summit 2017
Cancer Burden in Sub-Saharan Africa
• Risk of getting cancer
and Risk of Dying
~same
The Cancer Atlas http://canceratlas.cancer.org/the-burden/
26. IBM Watson / AI for IA's: Machine Learning Demystified
@carologic / #ias17 IA Summit 2017
What if we could reduce the burden?
• Evidence based medicine available to every physician
• Making more informed treatment decisions
• Helping doctors (not replacing)
IBM Watson for Oncology
27. IBM Watson / AI for IA's: Machine Learning Demystified
@carologic / #ias17 IA Summit 2017
Saving Time
Result of ML are more highly trained
specialists
Not an “all knowing” being
28. Humans teach what we feel is important… teach them to share our values.
Super knowing - not super doing
Grady Booch, Scientist, philosopher, IBM’er https://www.ted.com/talks/grady_booch_don_t_fear_superintelligence
29. IBM Watson / AI for IA's: Machine Learning Demystified
@carologic / #ias17 IA Summit 2017
Optimist’s guide to the robot apocalypse - @sarahfkessler
“The optimist’s guide to the robot apocalypse” by Sarah Kessler. March 09, 2017. QZ.
@sarahfkessler https://qz.com/904285/the-optimists-guide-to-the-robot-apocalypse/
30. IBM Watson / AI for IA's: Machine Learning Demystified
@carologic / #ias17 IA Summit 2017
Examples
of AI and Cognitive Computing
31. IBM Watson / AI for IA's: Machine Learning Demystified
@carologic / #ias17 IA Summit 2017
Strategic Games
• 1997 Chess, IBM
• 2016 Go, Google
Floor goban, 2007, By Goban1 https://commons.wikimedia.org/wiki/File:FloorGoban.JPG
Graphic, Science Magazine: http://www.sciencemag.org/news/2016/03/update-why-week-s-man-
versus-machine-go-match-doesn-t-matter-and-what-does
32. IBM Watson / AI for IA's: Machine Learning Demystified
@carologic / #ias17 IA Summit 2017
Self Driving (autonomous) vehicles
Junior, a robotic Volkswagen Passat, in a parking lot at Stanford University, 24
October 2009, By: Steve Jurvetson
https://en.wikipedia.org/wiki/File:Hands-free_Driving.jpg
33. IBM Watson / AI for IA's: Machine Learning Demystified
@carologic / #ias17 IA Summit 2017
Understanding human speech
• Watson developed for quiz show Jeopardy!
• Won against champions in 2011 for $1 million
https://en.wikipedia.org/wiki/Watson_(computer)
Video: “IBM's Watson Supercomputer Destroys Humans in Jeopardy | Engadget”
https://www.youtube.com/watch?v=WFR3lOm_xhE
34. IBM Watson / AI for IA's: Machine Learning Demystified
@carologic / #ias17 IA Summit 2017
Automating labeling of birdsongs
“Comparison of machine learning methods applied to birdsong element classification” by David
Nicholson. Proceedings of the 15th Python in Science Conference (SCIPY 2016).
http://conference.scipy.org/proceedings/scipy2016/pdfs/david_nicholson.pdf
Photo by Gallo71 (Own work) [Public domain], via Wikimedia Commons
https://commons.wikimedia.org/wiki/File%3ARbruni.JPG
35. IBM Watson / AI for IA's: Machine Learning Demystified
@carologic / #ias17 IA Summit 2017
Image Recognition – Google Photos
Carol’s search for “cats” on her Photos account.
She likes Lacey and Magic quite a bit and being sisters, they like each other.
36. IBM Watson / AI for IA's: Machine Learning Demystified
@carologic / #ias17 IA Summit 2017
Automating Repetitive Work
• Highlight possible issues
• Radiologist confirms
https://www.technologyreview.com/s/600706/ibms-automated-
radiologist-can-read-images-and-medical-records/
37. IBM Watson / AI for IA's: Machine Learning Demystified
@carologic / #ias17 IA Summit 2017
88,000 retina images
• Watson knows what a healthy eye
looks like
• Glaucoma is the second leading
cause of blindness worldwide
– 50% of cases go undetected
https://twitter.com/IBMWatson/status/844545761740292096
38. IBM Watson / AI for IA's: Machine Learning Demystified
@carologic / #ias17 IA Summit 2017
Automation of repetitive inhuman tasks
• Bank in Brazil with 50 different products (!!)
• CSR needs help
• Able to serve that customer much better
Paraphrase from Vanitha Narayanan, chairman of IBM India, in
http://fortune.com/2017/03/02/google-ibm-artificial-intelligence/
39. IBM Watson / AI for IA's: Machine Learning Demystified
@carologic / #ias17 IA Summit 2017
American Nightmare: Tax Day
https://www.hrblock.com/lp/fy17/hrblock-and-watson.html
40. IBM Watson / AI for IA's: Machine Learning Demystified
@carologic / #ias17 IA Summit 2017
Conversations for Easy ordering
• Order via text, email, Facebook
Messenger or with a Slackbot
• Cognitive pieces:
– Speech-to-text
– Chat
– API’s in backend
Story: http://www.businesswire.com/news/home/20161025006273/en/Staples%E2%80%99-
%E2%80%9CEasy-Button%E2%80%9D-Life-IBM-Watson
Photo: Easy Button from Staples: http://www.staples.com/Staples-Easy-Button/product_606396
41. IBM Watson / AI for IA's: Machine Learning Demystified
@carologic / #ias17 IA Summit 2017
Where’s the IA? Consider Chatbots
• Hierarchy of information
• Mapping between questions
and responses
– Expected language
– Appropriate automated
responses
– When to escalate
to a human
https://www.pexels.com/photo/close-up-of-mobile-phone-248512/
https://www.amazon.com/Amazon-Echo-Bluetooth-Speaker-with-WiFi-Alexa/dp/B00X4WHP5E
https://www.ibm.com/watson/developercloud/doc/conversation/index.html
42. IBM Watson / AI for IA's: Machine Learning Demystified
@carologic / #ias17 IA Summit 2017
Personality Insights – Watson – Analyzing @carologic
IBM Watson Developer Cloud, Personality Insights
https://personality-insights-livedemo.mybluemix.net/
43. IBM Watson / AI for IA's: Machine Learning Demystified
@carologic / #ias17 IA Summit 2017
Tone Analyzer - Watson
IBM Watson Developer Cloud, Tone Analyzer
https://tone-analyzer-demo.mybluemix.net/
44. IBM Watson / AI for IA's: Machine Learning Demystified
@carologic / #ias17 IA Summit 2017
What it is not
• Optical character recognition
• Now considered routine computing
Portable scanner and OCR (video)
https://en.wikipedia.org/wiki/File:Portable_scanner_and_OCR_(video).webm
45. IBM Watson / AI for IA's: Machine Learning Demystified
@carologic / #ias17 IA Summit 2017
Ethics in AI
46. IBM Watson / AI for IA's: Machine Learning Demystified
@carologic / #ias17 IA Summit 2017
How might we…
• build systems that have ethical and moral foundation?’
• that are transparent to users?
• teach mercy and justice of law?
• extend and advance healthcare?
• increase safety in dangerous work?
Grady Booch, Scientist, philosopher, IBM’er
https://www.ted.com/talks/grady_booch_don_t_fear_superintelligence
47. IBM Watson / AI for IA's: Machine Learning Demystified
@carologic / #ias17 IA Summit 2017
So that we trust machines just as much
as a well-trained human?
48. IBM Watson / AI for IA's: Machine Learning Demystified
@carologic / #ias17 IA Summit 2017
AI will
“extend human experience in profound ways”
- Grady Booch, Scientist, philosopher, IBM’er
Grady Booch, Scientist, philosopher, IBM’er
https://www.ted.com/talks/grady_booch_don_t_fear_superintelligence
49. IBM Watson / AI for IA's: Machine Learning Demystified
@carologic / #ias17 IA Summit 2017
How do we evolve the practice of IA
to deal with the new issues
these technologies bring
and the new information that is created?
50. IBM Watson / AI for IA's: Machine Learning Demystified
@carologic / #ias17 IA Summit 2017
Cognitive computers are
• Knowledgeable about what taught
• Aware of nuances
• Control ONLY what we give them control of
• Continue to learn with more data
51. Remember: “We can unplug the machines!”
Grady Booch, Scientist, philosopher, IBM’er https://www.ted.com/talks/grady_booch_don_t_fear_superintelligence
52. IBM Watson / AI for IA's: Machine Learning Demystified
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Explore the technology
Try the tools
Pair with others
IBM Watson Developer Tools (free trials):
https://console.ng.bluemix.net/catalog/?categ
ory=watson
53. IBM Watson / AI for IA's: Machine Learning Demystified
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Contact Carol
in/CarolJSmith
@Carologic
slideshare.net/carologic
54. IBM Watson / AI for IA's: Machine Learning Demystified
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Additional Information
and Resources
55. IBM Watson / AI for IA's: Machine Learning Demystified
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“The biggest challenge here is “understanding
people, not just what they vocalize,”....
Our motivations are often not expressed upfront,
yet it is key to understanding what people want to
get done.”
- Rob High, IBM fellow and Watson CTO
https://techcrunch.com/2017/02/27/for-ibms-cto-for-watson-not-a-
lot-of-value-in-replicating-the-human-mind-in-a-computer/
56. IBM Watson / AI for IA's: Machine Learning Demystified
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3 Guiding Principles – Ethical AI
• Purpose
– Aid humans, not replace them.
– Symbiotic relationship
• Transparency
– How AI trained, and what data was used "The human needs to remain
in control of the system"
• Skills
– Built with people in the industry,
– Human workers trained on how to use these tools to their advantage
“3 guiding principles for ethical AI, from IBM CEO Ginni Rometty” by Alison DeNisco.
January 17, 2017, Tech Republic http://www.techrepublic.com/article/3-guiding-
principles-for-ethical-ai-from-ibm-ceo-ginni-rometty/
57. IBM Watson / AI for IA's: Machine Learning Demystified
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Should work to Reduce Waste
• Sharing of models, annotators, algorithms not desirable
(currently):
– Huge amount of work
– Proprietary information
• Benefits are not clear to business (yet):
– “A rising tide lifts all boats"
– Build on others work
– Solve more interesting problems
58. IBM Watson / AI for IA's: Machine Learning Demystified
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Watson is a cognitive technology that can think like a human.
• Understand
• Analyze and interpret all kinds of data
• Unstructured text, images, audio and video
• Reason
• Understand the personality, tone, and emotion of content
• Learn
• Grow the subject matter expertise in your apps and systems
• Interact
• Create chat bots that can engage in dialog
https://www.ibm.com/watson/
59. IBM Watson / AI for IA's: Machine Learning Demystified
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More on Strategic Games
Graphic, Science Magazine: http://www.sciencemag.org/news/2016/03/update-why-week-s-man-
versus-machine-go-match-doesn-t-matter-and-what-does
60. IBM Watson / AI for IA's: Machine Learning Demystified
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The Job Question
• Make new economies
and opportunities – potentially:
– Create jobs
– Entire new fields
• Some jobs will be lost
– What can we do to mitigate
this?
Jobs that no longer exist: The Lector http://www.ranker.com/list/jobs-that-no-
longer-exist/coy-jandreau
61. IBM Watson / AI for IA's: Machine Learning Demystified
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Additional Resources
• “How IBM is Competing with Google in AI.” The Information. https://www.theinformation.com/how-ibm-is-
competing-with-google-in-ai?eu=2zIDMNYNjDp7KqL4YqAXXA
• “The business case for augmented intelligence” https://medium.com/cognitivebusiness/the-business-case-
for-augmented-intelligence-36afa64cd675
• “Comparison of machine learning methods applied to birdsong element classification” by David Nicholson.
Proceedings of the 15th Python in Science Conference (SCIPY 2016).
http://conference.scipy.org/proceedings/scipy2016/pdfs/david_nicholson.pdf
• “Staples’ “Easy Button” Comes to Life with IBM Watson” in Business Wire, October 25, 2016.
http://www.businesswire.com/news/home/20161025006273/en/Staples%E2%80%99-%E2%80%9CEasy-
Button%E2%80%9D-Life-IBM-Watson
• “How Staples Is Making Its Easy Button Even Easier With A.I.” by Chris Cancialosi, Forbes.
https://www.forbes.com/sites/chriscancialosi/2016/12/13/how-staples-is-making-its-easy-button-even-easier-
with-a-i/#4ae66e8359ef
• “Inside Intel: The Race for Faster Machine Learning”
http://www.intel.com/content/www/us/en/analytics/machine-learning/the-race-for-faster-machine-
learning.html
62. IBM Watson / AI for IA's: Machine Learning Demystified
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More Resources
• “Update: Why this week’s man-versus-machine Go match doesn’t matter (and what does)” by Dana
Mackenzie. Science Magazine. Mar. 15, 2016 http://www.sciencemag.org/news/2016/03/update-why-week-
s-man-versus-machine-go-match-doesn-t-matter-and-what-does
• “For IBM’s CTO for Watson, not a lot of value in replicating the human mind in a computer.” by Frederic
Lardinois (@fredericl), TechCrunch, Posted Feb 27, 2017. https://techcrunch.com/2017/02/27/for-ibms-cto-
for-watson-not-a-lot-of-value-in-replicating-the-human-mind-in-a-computer/
• “Google and IBM: We Want Artificial Intelligence to Help You, Not Replace You” Most Powerful Women by
Michelle Toh. Mar 02, 2017. Fortune. http://fortune.com/2017/03/02/google-ibm-artificial-intelligence/
• “Facebook scales back AI flagship after chatbots hit 70% f-AI-lure rate - 'The limitations of automation‘” by
Andrew Orlowski. Feb 22, 2017. The Register https://www.theregister.co.uk/2017/02/22/facebook_ai_fail/
• “Microsoft is deleting its AI chatbot's incredibly racist tweets” by Rob Price. Mar. 24, 2016. Business Insider
UK. http://www.businessinsider.com/microsoft-deletes-racist-genocidal-tweets-from-ai-chatbot-tay-2016-3
Special Thanks: Soundtrack to 'Run Lola Run', 1998 German thriller film written and directed by Tom Tykwer,
and starring Franka Potente as Lola and Moritz Bleibtreu as Manni. Soundtrack by Tykwer, Johnny Klimek, and
Reinhold Heil
63. IBM Watson / AI for IA's: Machine Learning Demystified
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Even More Resources
• “IBM’s Automated Radiologist Can Read Images and Medical Records” by Tom Simonite, February 4, 2016.
Intelligent Machines, MIT Technology Review. https://www.technologyreview.com/s/600706/ibms-
automated-radiologist-can-read-images-and-medical-records/
• “The IBM, Salesforce AI Mash-Up Could Be a Stroke of Genius” by Adam Lashinsky, Mar 07, 2017. Fortune.
http://fortune.com/2017/03/07/data-sheet-ibm-salesforce/
• "Google can now tell you're not a robot with just one click" by Andy Greenberg. Dec. 3, 2014. Security:
Wired. https://www.wired.com/2014/12/google-one-click-recaptcha/
• “Essentials of Machine Learning Algorithms (with Python and R Codes)” by Sunil Ray, August 10, 2015.
Analytics Vidhya. https://www.analyticsvidhya.com/blog/2015/08/common-machine-learning-algorithms/
• IBM on Machine Learning https://www.ibm.com/analytics/us/en/technology/machine-learning/
• “At Davos, IBM CEO Ginni Rometty Downplays Fears of a Robot Takeover” by Claire Zillman, Jan 18, 2017.
Fortune. http://fortune.com/2017/01/18/ibm-ceo-ginni-rometty-ai-davos/
• “Google and IBM: We Want Artificial Intelligence to Help You, Not Replace You” by Michelle Toh. Mar 02,
2017. Fortune. http://fortune.com/2017/03/02/google-ibm-artificial-intelligence/
64. IBM Watson / AI for IA's: Machine Learning Demystified
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Yes, even more resources
• Video: “IBM Watson Knowledge Studio: Teach Watson about your unstructured data”
https://www.youtube.com/watch?v=caIdJjtvX1s&t=6s
• “The optimist’s guide to the robot apocalypse” by Sarah Kessler, @sarahfkessler. March 09, 2017. QZ.
https://qz.com/904285/the-optimists-guide-to-the-robot-apocalypse/
• “AI Influencers 2017: Top 30 people in AI you should follow on Twitter" by Trips Reddy @tripsy, Senior
Content Manager, IBM Watson . February 10, 2017 https://www.ibm.com/blogs/watson/2017/02/ai-
influencers-2017-top-25-people-ai-follow-twitter/
• “3 guiding principles for ethical AI, from IBM CEO Ginni Rometty” by Alison DeNisco. January 17, 2017,
Tech Republic http://www.techrepublic.com/article/3-guiding-principles-for-ethical-ai-from-ibm-ceo-ginni-
rometty/
• "Transparency and Trust in the Cognitive Era" January 17, 2017 Written by: IBM THINK Blog
https://www.ibm.com/blogs/think/2017/01/ibm-cognitive-principles/
• "Ethics and Artificial Intelligence: The Moral Compass of a Machine“ by Kris Hammond, April 13, 2016.
Recode. http://www.recode.net/2016/4/13/11644890/ethics-and-artificial-intelligence-the-moral-compass-of-
a-machine
65. IBM Watson / AI for IA's: Machine Learning Demystified
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Last bit: I promise
• "The importance of human innovation in A.I. ethics" by John C. Havens. Oct. 03, 2015
http://mashable.com/2015/10/03/ethics-artificial-intelligence/#yljsShvAFsqy
• "Me, Myself and AI" Fjordnet Limited 2017 - Accenture Digital. https://trends.fjordnet.com/trends/me-myself-
ai
• "Testing AI concepts in user research" By Chris Butler, Mar 2, 2017. https://uxdesign.cc/testing-ai-concepts-
in-user-research-b742a9a92e55#.58jtc7nzo
• "CMU prof says computers that can 'see' soon will permeate our lives“ by Aaron Aupperlee. March 16, 2017.
http://triblive.com/news/adminpage/12080408-74/cmu-prof-says-computers-that-can-see-soon-will-
permeate-our-lives
• “The business case for augmented intelligence” by Nancy Pearson, VP Marketing, IBM Cognitive.
https://medium.com/cognitivebusiness/the-business-case-for-augmented-intelligence-
36afa64cd675#.qqzvunakw
66. IBM Watson / AI for IA's: Machine Learning Demystified
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Definition: Artificial Intelligence
• Artificial intelligence (AI) is intelligence exhibited by machines.
• In computer science, an ideal "intelligent" machine is a flexible rational agent that
perceives its environment and takes actions that maximize its chance of success
at some goal.[1] Colloquially, the term "artificial intelligence" is applied when a
machine mimics "cognitive" functions that humans associate with other human
minds, such as "learning" and "problem solving".[2]
• Capabilities currently classified as AI include successfully understanding human
speech,[4] competing at a high level in strategic game systems (such as Chess
and Go[5]), self-driving cars, and interpreting complex data.
Wikipedia: https://en.wikipedia.org/wiki/Artificial_intelligence#cite_note-Intelligent_agents-1
67. IBM Watson / AI for IA's: Machine Learning Demystified
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Definition: The Singularity
• If research into Strong AI produced sufficiently intelligent software, it might be able to reprogram
and improve itself. The improved software would be even better at improving itself, leading to
recursive self-improvement.[245] The new intelligence could thus increase exponentially and
dramatically surpass humans. Science fiction writer Vernor Vinge named this scenario
"singularity".[246] Technological singularity is when accelerating progress in technologies will
cause a runaway effect wherein artificial intelligence will exceed human intellectual capacity and
control, thus radically changing or even ending civilization. Because the capabilities of such an
intelligence may be impossible to comprehend, the technological singularity is an occurrence
beyond which events are unpredictable or even unfathomable.[246]
• Ray Kurzweil has used Moore's law (which describes the relentless exponential improvement in
digital technology) to calculate that desktop computers will have the same processing power as
human brains by the year 2029, and predicts that the singularity will occur in 2045.[246]
Wikipedia: https://en.wikipedia.org/wiki/Artificial_intelligence#cite_note-Intelligent_agents-1
68. IBM Watson / AI for IA's: Machine Learning Demystified
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Definition: Machine Learning
• Ability for system to take basic knowledge (does not mean simple or non-complex) and apply that
knowledge to new data
• Raises ability to discover new information
• Find unknowns in data
• https://en.wikipedia.org/wiki/Machine_learning
More Definitions
• Algorithm: a process or set of rules to be followed in calculations or other problem-solving operations,
especially by a computer. https://en.wikipedia.org/wiki/Algorithm
• Natural Language Processing (NLP): https://en.wikipedia.org/wiki/Natural_language_processing
69. IBM Watson / AI for IA's: Machine Learning Demystified
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Definition: Dictionary
Editor's Notes
More recently,
The Terminator, Short Circuit, 2001 Space Odyssey, The Matrix, Metropolis
Westworld
Python
Decision Tree
AI - intelligence exhibited by machines. In computer science, the field of AI research defines itself as the study of "intelligent agents“ – Wikipedia
CC - simulation of human thought processes in a computerized model. CC involves self-learning systems that use data mining, pattern recognition and natural language processing to mimic the way the human brain works.
ML - is a method of data analysis that automates analytical model building. Using algorithms that iteratively learn from data, machine learning allows computers to find hidden insights without being explicitly programmed where to look.
NLP - field of computer science, artificial intelligence, and computational linguistics concerned with the interactions between computers and human (natural) languages and, in particular, concerned with programming computers to fruitfully process large natural language corpora.
API - set of routines, protocols, and tools for building software applications. An API specifies how software components should interact. Additionally, APIs are used when programming graphical user interface (GUI) components. – Wikipedia
Metropolis (1927), 2001 Space Odyssey (1968), War Games (1983), Blade Runner (1982), The Terminator (1984), Short Circuit (1986), The Matrix (1999), Ex Machina (2015),
Training
Don’t learn like a typical human
Only what they need to know
Provide body of knowledge for ground-truth
curated
representative
used to compare further knowledge
The machine learning initial analysis includes identifying entities by type (person, organization) and then by classifying them into groups - for example “IBM” and “Big Blue” are both ways to refer to IBM the company. Relationships can also be identified - for example between a person (an employee) and IBM. Dictionaries are also used to define terms such as “apple”. Apple can mean a fruit, multi-national corporation, or a type of computer - which is it in these documents?
The machine learning initial analysis includes identifying entities by type (person, organization) and then by classifying them into groups - for example “IBM” and “Big Blue” are both ways to refer to IBM the company. Relationships can also be identified - for example between a person (an employee) and IBM. Dictionaries are also used to define terms such as “apple”. Apple can mean a fruit, multi-national corporation, or a type of computer - which is it in these documents?
Rules based learning - complexity in that a rule is a rule
If you say for example 4 digit number + capital word matched from dictionary + capital word matched from dictionary = vehicle
Then every time that event occurs in your data it is labeled vehicle. Might be fine if a narrow set of information (vehicle incident reports from NISTA)
Might be require major rework if broader.
Skills Needed
Manual: Coder, NLP and SME
Supervised ML: NLP and SME
Unsupervised ML: BA and coder support
Consider a reverse card sorting exercise
30 participants
How important is it that they all get it right every time?
Consider your industry
Government safety compliance
Accidents related to this tire?
Financial compliance
Accounts with connections to this organization?
Ecommerce chat bot
Women’s pants with pockets?
When carefully (or not so carefully) piled books succumb to gravity
Grew up with bookalanches occurring regularly
Stepfather is an oncologist – would bring home piles of articles, papers, books and more.
He reads everything he can get his hands on. He never stops trying to understand and fight cancer.
Late stage of disease at diagnosis and lack of treatment
Analyzes a patient’s medical information against a vast array of data and expertise to provide evidence-based treatment options.
Saving some trees and reducing bookalanches
IBM’s Deep Blue beat world chess champion Garry Kasparov in a 6 game match
Google's AlphaGo beat human world Go champion Lee Sedol, 4:1
Developed initially to answer Jeopardy! questions
IBM's Watson named after IBM's first CEO, industrialist Thomas J. Watson.
“Comparison of machine learning methods applied to birdsong element classification” by David Nicholson. Proceedings of the 15th Python in Science Conference (SCIPY 2016). http://conference.scipy.org/proceedings/scipy2016/pdfs/david_nicholson.pdf
“Analysis of birdsong (for neuroscience or the many other fields that study this behavior) typically focuses on "syllables" or "notes", recurring elements in the song… Each individual has a unique song that bears some similarity to the song of the bird that tutored it, but is not a direct copy. To analyze song, experimenters label syllables by hand. Typically the experimenter records one bird at a time while carrying out a behavioral experiment. However, each songbird produces thousands of songs a day, more than can be labeled. In order to deal with this mountain of data, some labs have developed automated analyses.”
David Nicholson trained a classifier on syllables of one bird’s song to automate labeling of those syllables (same bird).
This was not to train a classifier to distinguish the song of one bird from another.
Specialists spend more time on more complex patients
IBM’s Avicenna software highlighted possible embolisms on this CT scan in green, finding mostly the same problems as a human radiologist who marked up the image in red.
IBM Research Australia is working to help stop this ‘silent thief of sight’ by teaching Watson to detect it. After learning from 88,000 retina images, Watson can understand what a healthy eye looks like, and identify abnormalities that indicate of the onset of eye diseases like glaucoma. In the future, this early detection technology could help keep glaucoma out of sight for millions.
Pull data from customer record
System suggests answers from chat
Find relevant information faster
Reorder
Track shipments
Chat with CSR
http://www.businesswire.com/news/home/20161025006273/en/Staples%E2%80%99-%E2%80%9CEasy-Button%E2%80%9D-Life-IBM-Watson
“Simplifies the customers’ shopping experience, allowing them to quickly reorder supplies, track shipments or chat about customer service needs.”
Staples “Easy Button” office supply reordering system which integrates IBM’s Watson technology to simplify office supply management for Staples Business Advantage Customers
teach to discern between right and wrong?
letter vs. spirit of law?
Take set of knowledge we give them and apply to new data
Help humans discover patterns and find unknown
The Job: To read to large rooms of factory workers slaving away at remedial tasks for hours on end. Lectors were sometimes even hired with pooled money from the factory workers themselves for their entertainment.
Who Did It: Well spoken gentlemen.
Why It Went Away: A whole smorgasbord of reasons from the radio, to the Walk-Man, iPhones, iPods, podcasts...
By Coy Jandreau - user uploaded image