International Data Engineering And Science Association
Videos
SoCal AI & Data Science Conference 2018
IDEAS – Chris Tyler, IBM Sr. Cloud Architect
IDEAS – Gunnar Carlasson, Ayasdi President & Co-founder-01
IDEAS – Gunnar Carlasson, Ayasdi President & Co-founder-02
IDEAS – Sam Czertok, CO-FOUNDER OF TOKENAI
IDEAS – Manju Devadas, Pluto7 Founder & CEO
Gallery
Media courtesy: Andrew Zhang, Jason Geng, Team IDEAS, Team UCTV Blockchain
Schedule
Deep learning
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The problem of bias in machine learning has raised significant concerns and become more critical than ever as AI technology rapidly spreads to all application domains. While AI biases could occur due to the limitation of technology and design, majority of incidents happened because of the biased training data. As AI powered systems are only as good as the data we feed them, skewed training data often result in AI models that show discrimination and amplify human prejudices.
Over 10 years enabling AI projects in the real world, Figure Eight’s platform has collected more than 10 billion human judgements, and has more than 100 million images labeled. In an effort to prevent discrimination in AI, Figure Eight developed a framework that reduces biases in collecting training data in order to address the problem from the source. By routing proper labeling tasks to proper labelers, our framework prevents potentially unwanted biases introduced by the labeling crowd. The solution essentially performs a multi-objective optimization in order to achieve the desired distribution of labelers working on a given task. In the talk, Monchu will share some use cases in Figure Eight where we applied the bias minimizer framework. Empirical results will be shown to illustrate how the optimization process was done in the data collection process to minimize skewed training data. The extension and implication to different scenarios and issues will then be discussed.
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Monchu Chen
Figure Eight Technologies Inc.
Director of Human-Computer Interaction
IDEAS Profile Page:
LinkedIn: https://www.linkedin.com/in/monchu/
Monchu Chen is the Director of Human-Computer Interaction at Figure Eight, the leading Human-in-the-Loop Machine Learning platform that transforms unstructured data into customized high quality training data. He has over 15 years of experiences in practicing and researching human factor issues in computer systems. Currently, he focus on augmenting human performance in creating labeled data and enhancing training efficiency in building deep learning models. Monchu holds a PhD in Human-Computer Interaction from Carnegie Mellon University.
AI
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Past a few years have seen many offline retailers close stores or go out of business, but in fact offline retail actually has been growing, despite in a slower pace compared to online retail. Offline retail still counts 87% of the entire retail business and has its own unique advantages that serve customers better. With latest AI technologies, such as facial recognition, image recognition, and tighter integration between software and hardware, offline retailors have more options than ever to improve customer experience by having a better understanding of customers, products, and the interaction between. This talk will give an overview of such enabling technologies that could make offline retail more appealing and effective.
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Yipeng Li
Clobotics
Tech Lead
IDEAS Profile Page: https://ideassn.org/speaker/yipeng-li/
LinkedIn: https://www.linkedin.com/in/yipengli/
Dr. Yipeng Li currently is the Tech Lead of Clobotics at the Seattle Headquarter, where he is leading the effort of building machine learning and computer vision algorithms and systems to serve enterprise customers globally. Prior to Clobotics, Yipeng had been a software developer at Facebook and Microsoft for nearly a decade.
Yipeng is passionate about AI, machine learning, and big data, both in system and algorithms.
Yipeng has a MS from Nuclear Engineering, and a Ph.D. from Computer Science and Engineering, both from the Ohio State University.
Deep Learning, experts
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The presentation will cover current trends in AI and Machine learning literature on Genomics , Healthcare informatics and our march towards precision medicine. This will also cover the ethics and other issues involved as we gather more and more of healthcare information about patients. There will be a few discussions on how AI can help doctors in patient management and the role of AI based prediction in patient care.
While the healthcare sector is being transformed by the ability to record massive amounts of information about individual patients, the enormous volume of data being collected is impossible for doctors to analyse. Machine learning comes to the rescue and provides a way to automatically find patterns and reason about data, which enables healthcare professionals to move to personalized care known as precision medicine.
As an illustration, healthcare providers can take advantage of machine learning to predict hospital re-admission for chronically ill patients. Greater support can be provided to patients identified most at risk of being re-admitted at discharge. By lowering the rate of readmission, we improve the lives of those most at risk and lower healthcare expenses. PatientMD team is involved in developing such algorithms.
Ninety three percent of healthcare information is in images. We will cover the latest in image recognition algorithms that our researchers at PatientMD are working on.
Finally, a introduction to chromputer model which uses CNNs sto predict histone modifications and chromatin states will be provided to audience interested in genomics.
Short Bio: Anirban Majumdar is the co-founder and CTO/COO of PatientMD. Prior to founding PatientMD, Anirban spent a decade in investments and finance. Anirban spent many years working in Silicon valley leading teams in companies like Oracle and BEA Systems.
Anirban is currently involved in rolling out PatientMD platform live in multiple countries.
Anirban is passionate about block chain, healthcare, genomics, mathematics, economics, finance, AI and computer modeling.
Anirban has BTech in Chemical Engineering from IIT Kharagpur, MS in Computer Science from Alabama and MBA in Analytical Finance from University of Chicago, Booth School of Business.
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Anirban Majumdar
PatientMD Inc.
Co-Founder, CTO/COO
IDEAS Profile Page: https://www.ideassn.org/speaker/anirban-majumdar/
LinkedIn: https://www.linkedin.com/in/anirbanmajumdarprofile/
valley leading teams in companies like Oracle and BEA Systems.Anirban Majumdar is the co-founder and CTO/COO of PatientMD. Prior to founding PatientMD, Anirban spent a decade in investments and finance. Anirban spent many years working in Silicon valley leading teams in companies like Oracle and BEA Systems.
Anirban is currently involved in rolling out PatientMD platform live in multiple countries.
Anirban is passionate about block chain, healthcare, genomics, mathematics, economics, finance, AI and computer modeling.
Anirban has BTech in Chemical Engineering from IIT Kharagpur, MS in Computer Science from Alabama and MBA in Analytical Finance from University of Chicago, Booth School of Business.
Deep Learning
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One of the many benefits of Blockchain for Business is the automation of complex, high-value transactions within a business network. Smart Contracts is a feature of the Blockchain Platform that evaluates the mutually accepted terms and conditions between parties. Automating these transactions requires validating identity and proof of work to provide trust in the process. We will explore how Machine Learning, AI and Analytics can help make these Smart Contracts smarter.
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Chris Tyler
IBM
Sr. Cloud Architect and Cognitive Evangelist
IDEAS Profile Page: https://www.ideassn.org/speaker/chris-tyler/
LinkedIn: https://www.linkedin.com/in/chrisatyler/
Chris Tyler is a Sr. Cloud Architect and Cognitive Evangelist within the IBM Business Partner Channel. He is a trusted advisor to multiple IBM Business Partners. With over 25 years of experience in Systems Development and Analytics, Chris provides valuable expertise and vision to his partners. With his guidance, the partners benefit from generating additional revenue and getting to market faster, differentiating themselves in their market, increasing the value of their solutions to their customers, increasing their win rates and creating new product offerings.
Chris assists his partners with cloud technologies such as IoT, blockchain, analytics, machine learning, and cognitive API usage. He works with partners on product strategy and vision. Chris’ partners are in various stages of maturity, ranging from startups to industry-leading solution providers.
Prior to joining IBM, Chris was a developer of large scale systems in the telecommunications industry focused on leveraging analytics to decrease delinquency and improve the collections process. Chris also has experience using analytics to deliver targeted content to web site visitors, primarily in the retail and publishing space.
Chris graduated from Texas Tech University with a bachelor’s degree in Management Information Systems.
AI
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Hyperledger Fabric is an open source project, run by the Linux Foundation, which is becoming known as the Blockchain for Business. This workshop will include a lecture which differentiates between the blockchain used for Bitcoin and the blockchain changing the way businesses manage high value transactions within a business network. IBM along with many other contributors are leading the charge on developing and deploying Hyperledger Fabric and helping businesses on their blockchain journey. This is your chance to get started, with a hands-on experience building your own blockchain network with Hyperledger Fabric and Hyperledger Composer.
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Chris Tyler
IBM
Sr. Cloud Architect and Cognitive Evangelist
IDEAS Profile Page: https://www.ideassn.org/speaker/chris-tyler/
LinkedIn: https://www.linkedin.com/in/chrisatyler/
Chris Tyler is a Sr. Cloud Architect and Cognitive Evangelist within the IBM Business Partner Channel. He is a trusted advisor to multiple IBM Business Partners. With over 25 years of experience in Systems Development and Analytics, Chris provides valuable expertise and vision to his partners. With his guidance, the partners benefit from generating additional revenue and getting to market faster, differentiating themselves in their market, increasing the value of their solutions to their customers, increasing their win rates and creating new product offerings.
Chris assists his partners with cloud technologies such as IoT, blockchain, analytics, machine learning, and cognitive API usage. He works with partners on product strategy and vision. Chris’ partners are in various stages of maturity, ranging from startups to industry-leading solution providers.
Prior to joining IBM, Chris was a developer of large scale systems in the telecommunications industry focused on leveraging analytics to decrease delinquency and improve the collections process. Chris also has experience using analytics to deliver targeted content to web site visitors, primarily in the retail and publishing space.
Chris graduated from Texas Tech University with a bachelor’s degree in Management Information Systems.
Data Science, beginners
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During the last few years, data science has brought about many changes to how we live and work. Students interested in careers in data science often ask “do I need a graduate degree to work as a data scientist?” Obviously, while there is no one-size-fits-all answer to that question, there are some important questions to consider when making career choices in data science. I compare and contrast academia vs industry as career options after bachelors degree or masters degree based on my personal experience in research and industry.
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Sang-Yun Oh
UC Santa Barbara
Professor
IDEAS Profile Page: https://www.ideassn.org/speaker/sang-yun-oh/
LinkedIn: https://www.linkedin.com/in/sangyoh/
I worked for a number of years between my bachelor’s degree in physics at UC Berkeley, and my Ph.D. in computational and mathematical engineering at Stanford. My work experience span research and industry as medical imaging research engineer at Lawrence Berkeley National Lab, director of analytics at Interpolls, Inc, and collaborating researcher with various interdisciplinary research projects with scientists in biology, physics, and neuroscientists. Currently, I am an assistant professor in statistics at UC Santa Barbara with focus on data science and related fields.
Big Data, professionals
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The key challenge in making AI technology more accessible to the broader community is the scarcity of AI experts. Most businesses simply don’t have the much needed resources or skills for modeling and engineering. This is why automated machine learning and deep learning technologies (AutoML and AutoDL) are increasingly valued by academics and industries. The core of AI lies in the model design. Automated machine learning technologies reduce the barrier to AI application, enabling developers with no AI expertise to independently and easily develop and deploy AI models. Automated machine learning is expected to completely overturn the AI industry in the next few years, making AI accessible to everyone
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Ning Jiang
OneClick.ai
CTO
IDEAS Profile Page: https://www.ideassn.org/speaker/ning-jiang/
LinkedIn: https://www.linkedin.com/in/ningj/
Ning Jiang is CTO of oneclick.ai, a leading platform in automating deep learning model design and deployment. Ning has over 15 years of experience in Machine Learning across multiple industries, including web/entity search, search ads, online retail, and cyber security. His was a senior manager at Microsoft responsible for Bing Maps Autosuggest, and managed Bing Local Search in France and Italy and the Restaurant segment. Before this, he led the development of Bing Ads relevance platform and algorithm improvements, delivering paid search experience in both Bing and Yahoo!. Ning also had experience in developing malware detection and spam detection algorithms during his tenure with China’s top security firm.
AI
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Advances in Artificial Intelligence over the past few years have focused on the ability to build better predictive models using a variety of techniques, not the least of which is deep learning. These approaches, however, require massive datasets and restrict their utility for enterprise grade problems. Complicating matters further, the vast majority of enterprise data is unlabeled creating an additional class of challenges.
The future of prediction lies upstream in the analytical process – in the unsupervised learning techniques of segmentation, anomaly detection and hotspot detection. Here, unencumbered by labels, or even the requirement to know what you are looking for, lies the keys to improving the performance of prediction. This nascent form of machine learning has already had enormous impact on some of today’s largest enterprises across finance, government and healthcare.
In this session, Gunnar Carlsson, President & Co-Founder at Ayasdi, will dive deeper into unsupervised learning and why this is the next frontier in AI. He’ll break the problem down technically and practically – discussing feature generation, dimensionality reduction and how to get started. In doing so she will explore key enterprise uses cases ranging from fraud detection, financial crime and population health
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Gunnar Carlasson
Ayasdi
President & Co-founder
IDEAS Profile Page: https://www.ideassn.org/speaker/gunnar-carlsson/
LinkedIn: https://www.linkedin.com/in/gunnar-carlsson-17b3727/
Gunnar Carlsson is the President & Co-Founder of Ayasdi. He has an undergraduate degree from Harvard University and a doctorate from Stanford University. Over the past 35 years, Gunnar has taught at the University of Chicago, University of California, Princeton University, and has been a professor and the Chair of the Department of Mathematics at Stanford, where he has been a thought leader in a branch of mathematics called topology, the study of shape. Gunnar pioneered the applied use of topology to solve complex real world problems starting in the late 1990s. In the early 2000s, this work led to $10M in research grants from the National Science Foundation and DARPA to study the application of Topological Data Analysis for problems of interest within the U.S. government.
BlockChain Leadership Connect, professionals
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Since the inception of the internet, attempts have been made to solve the problem of privacy and security. These efforts demonstrate the challenge of inconvenience, cost and insecurity. In this session we’ll discuss Blockchain technology and its mutual distributed ledgers (MDL). The unique benefits of the MDL’s that allow companies to record, validate and track transactions throughout a network of decentralized computer systems will be presented. You’ll hear how these blockchains and its MDLs could open the door to innovation and improve your identity and authentication efforts in the future. The applications include: Financial transactions, Healthcare, Smart Contracts, Telecom, manufacturing, consumer and high technology. Blockchain will continue to change and disrupt transaction based industries.
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Donald Malloy
OATH, The initiative for Open Authentication
Chairman
Anaheim, CA
Website: openauthentication.org
IDEAS Profile Page: https://www.ideassn.org/speaker/donald-malloy/
LinkedIn: https://www.linkedin.com/in/donmalloy/
Donald Malloy is a Security Consultant, founder of the Symposium on Securing the IoT Conference and the Chairman of OATH, The Initiative for Open Authentication. He assists organizations in managing their security program with their IoT security and identity management solutions. OATH is an industry alliance that has developed the multi factor authentication market and shifted it from proprietary systems to an open source standard based architecture promoting ubiquitous strong authentication used by most companies today.
Malloy has more than 25 years’ experience in the Security and Payment industry and is currently developing strategic partners for companies and growing their security and authentication business. Don was responsible for developing the online authentication product line while at NagraID Security (Oberthur/Idemia) and prior to that he was Business Development and Marketing Manager for Secure Smart Card ICs for both Philips Semiconductors (NXP) and Infineon Technologies.
Don originally comes from Boston where he was educated and has M.S. level degrees in Organic Chemistry and an M.B.A. in Marketing. He resides in southern California and in his spare time he enjoys hiking, kayaking and traveling around this beautiful world.
BlockChain Leadership Connect, beginners
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Empower anyone who wants to participate in the crypto markets, regardless of experience, by providing them with an AI powered toolkit in a cost effective and readily accessible manner. This has the potential to enable our users to participate in these markets without friction, thus, giving everyone equal opportunity to claim their stake in the future of money.
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Sam Czertok
CO-FOUNDER OF TOKENAI
IDEAS Profile Page: https://www.ideassn.org/speaker/sam-czertok/
LinkedIn: https://www.linkedin.com/in/samczertok1/
Sam is a Creator and Technologist with an MBA from Cornell University and over 20 years of experience in software development and management. While at HP, he was part of a small team that developed and successfully launched an entirely new computing category. Sam also has extensive experience as a product manager for operating system level software for large financial institutions and enterprise clients.
AI, professionals
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Manju and Raj will share how Google Cloud AI is being leveraged for business transformation across Retail, Supply Chain and Manufacturing Industries. For example, Learn how machine learning and Ai is used to optimize the beer manufacturing process. This use cases have a direct impact on the production line and identifying downtime of equipment and huge impact on cost, time and quality of beer being produced. The role of the of machine learning and Ai is to improve the manufacturing process while in turn improves the quality while driving higher ROI through the undisruptive production process. Listen to experts on how keras Deep Learning was used with classifications of good parts vs. bad parts using Tensorflow. The model will be deployed to Google Cloud Machine Learning Engine where it will make predictions about the new data that is fed every day with an interactive dashboard using Data Studio.
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Manju Devadas
Pluto7
Founder & CEO
IDEAS Profile Page: https://www.ideassn.org/speaker/manju-devadas/
LinkedIn: https://www.linkedin.com/in/manjudevadas/
Manju Devadas is the founder/CEO of Pluto7 which is one of the top 5 breakthrough partner of the year award by Google with ML and AI focus. He has overall 17+ years experience in predictive analytics and as an Executive, Technology Leader and Architect he has helped companies with business transformation and revolutionize the way people do business.
He works closely with a passionate group of executives from industry who share his vision for change. Being an innovator, he envisions an ecosystem of the supply chain that functions smoothly on the principles of machine learning and AI. He also sees immense potential for outgrowing spreadsheets and ERPs, and optimizing sales and supply chain through automation and innovate SaaS products like www.Planninginabox.com .
Driving simplicity while managing complexity in improving the human experience at work and home in the context of Retail and Manufacturing is his passion. His business transformation experience comes with the combined knowledge of application of AI, Deep Learning, Tensorflow, Machine Learning for Enterprise and SMB with a Container based Serverless Architecture SaaS products creation gained through strategic partnership with Google combined with the awareness of AWS and Azure.
He has a strong hunch that the changes we see in the supply chain next 5 years are going to be more transformational than what we did in the PC era transition and the birth of the internet. Coming from a family of movie producers, he was inspired to become a film director as a child. Things changed after high school when he got his first computer and rest is his resulting career path.
AI, professionals
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Big Data, Robotics and Artificial intelligence are coming from every direction. This fact filled, actionable and eye-opening talk explores the relationship between our strategies to win, the role of machines in our future and fears of machine mastery. The session provides the audience with choices and decision drivers regarding AI and our collective future. The audience will leave with a new found faith in the future.
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Sid Mohasseb
Anabasis
CEO
IDEAS Profile Page: https://www.ideassn.org/speaker/sid-mohasseb/
LinkedIn: https://www.linkedin.com/in/mohasseb/
I am a serial entrepreneur, venture investor, author, speaker, and thought leader on artificial intelligence and data analytics. My book, The Caterpillar’s Edge, was published last year and is being used at universities around the world. The book revolves around the topic of business leaders gaining a competitive edge in a world constantly in flux, including finding new ways to excel in management, big data, AI and organizational change.
Data Science
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Jason Geng
IDEAS
Chair of the Board
IDEAS Profile Page: https://www.ideassn.org/speaker/jason-geng/
LinkedIn: https://www.linkedin.com/in/gengjason/
As committee chair of International Data Engineering and Science Association (IDEAS), Jason organized series of AI and data science conference at Dallas, Chicago and Los Angeles. Jason is adjunct professor at University of Southern California. When worked at Symantec, Jason designed and built many AI and big data applications.
Full Event Schedule: https://www.ideassn.org/socal-2018/schedule/
Information
The IDEAS SoCal Data Science Conference is a data science learning platform to connect data science enthusiasts. IDEAS demonstrates cutting-edge technology and feature a variety of data science experts covering topics including industry trend, data science application, open-source software, machine learning and many others.
This is the must-attend event for anyone that is already in the field or just looking to expand their career network in the Data Science arena.
A professional non-profit organization, IDEAS is dedicated to data science and AI. IDEAS has hosted numerous conferences across the U.S. in the past few years. IDEAS is excited to witness the revolutionary progress in the Blockchain world. When data science and AI join together with blockchain, IDEAS believe it’s the future of the Internet. The goal of their Blockchain Leadership Connect is to create a community, which can connect blockchain leaders, developers, and enthusiasts. You are expecting an elite conference on technology and practices of the blockchain. Experts from all around the world will meet together and discuss the trend and future.
SoCal Blockchain Leadership Connect is part of IDEAS SoCal Conference 2018.
The IDEAS Blockchain Session provides a diverse selection of trending topics in blockchain field through multiple tracks, including Legal Sectors, Financial services, Financial Market, Healthcare, Real Estate and Marketing, etc.
Topic Areas in Blockchain Features:
- Cryptocurrencies and Blockchain
- Blockchain Application
- Blockchain Adaption
- Developers Guide
- Solution-based Case Study
- Risk Management
- ICOs & IPOs
About IDEAS:
We are building an AI and Data Science community by providing robust resources and connecting industry experts together with business leaders, professionals, and promising students. Our vision is to foster the AI and Data Science ecosystems and broaden the adoption of their underlying technologies, thus accelerating the innovations data can bring to society.
We’re determined to connect and push forward the global AI and Data Science community through our national conferences, networking events,high-tech talent-training program, data science certification program and mentorship program. As in everything we do, we strive to act with honesty, openness, fairness and integrity. We will also emphasize training, embrace diversity and provide growth opportunities for our employees.
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