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When

December 7, 2017 from 5:00 PM to 8:00 PM PDT
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Where

International Technological University (ITU) 
2711 North First Street San Jose, CA 95134


 
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Contact

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Marieann Shovlin  

Marieann Shovlin

Marketing Chair
ASQ Silicon Valley - Section 0613
Marketing@asq-silicon-valley.org

Present a Speaker Series:

Integrating Quality into Emerging Technologies - IoT, Machine Learning & AI

 

IOT Graphic Logo  

Session One - Internet of Things 


Speaker Topic: The Internet of Things (IOT)

 

In January, 2018

Zaki Manian Executive Director   
 Zaki Manian

Executive Director Trusted IOT Alliance

 Program Description

The fast moving change environment we live in has presented many challenges to our population - from how we manage job and industry losses to how we educate our work force to survive in the changed environment and how we plan our business strategy to succeed in the new world we have created. This series will address three areas of technology emerging in Silicon Valley and related Silicon geographies: the Internet of Things (IOT), Machine Learning and Artificial Intelligence (AI).

Starting with IOT where we will look at how software and hardware connections enable medical devices, security systems and everyday items like computers, cars and watches - all enabled by Big Data.

Session One: IOT - the Internet of Things on December 7, 2017, 5 to 8 pm at ITU

Keynote Speaker Zaki Manian, Executive Director, Trusted IOT Alliance (www.trusted-iot.org) and expert panelists. Panel members include: Dan Esbensen of Voler Systems and Mamoun Abu-Samaha, CTO, technology evangelist, and Core ITU Faculty Member and moderated by Indra Desai. Register below.

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In January, 2018, we will explore the machine learning world in which computers can act without being explicitly programmed - automated analytical model building by using algorithms that iteratively learn from data without being explicitly programmed where to look. In the past decade, machine learning  has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine Learning can be seen as a current application of AI based around the idea that we should really just be able to give machines access to data and let them learn for themselves.
 
Session Two: Machine Learning on January 18, 2017, 5 to 8 pm at ITU

Registration for Sessions 2 Two and Three will open in December.

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In February, we will try to tie these technologies together with a session on Artificial Intelligence - the broader concept of machines being able to carry out tasks in a way that we would consider “smart”. With the current deeper understanding of how the human brain functions and the transference of that model to "machines", we are building smarter and smarter machines. We can now depend on them to help us in medical diagnosis and weather predictions. But we worry about machines becoming too smart - and we have seen the impacts on jobs and job skill requirements.

Session Three: Artificial Intelligence - Putting It All Together, February 15, 2018, 5 to 8 pm at ITU

Each of these events will be addressing quality challenges in these technology areas and will consist of a Keynote speaker, an expert panel, and a social get together.

The topics will include speakers on security, software and hardware, the new BlockChain technology and industry areas related to the main topics.  

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  Agenda:

  • 5:00 - 5:30 - Registration & Networking
  • 5:30 - 6:30 - Speaker: The Internet of Things
  • 6:30 - 7:00 - Break, Light Dinner & Networking
  • 7:00 - 7:45 - Panel Discussion
  • 7:45 - 8:00 Networking   

Note: Registration for Session One ends at midnight Wednesday, December 6

Cancellation Policy: no refunds will be available unless you notify us before Monday night at midnight.

The ASQ Silicon Valley Leadership Team and ITU Staff hope to see you all at our Speaker Series!

Douglas has many years of experience as a consultant, manager, and engineer in the computer and software industries . In addition to teaching, he provides organizational assessments, strategic quality planning, and test planning services. His recent technical work has focused on equivalence class analysis, test oracles, and advanced test automation architectures. He is a regular speaker at conferences worldwide, holds credentials for teaching Computer Science at the college level, and has taught management, technical, and quality assurance related university classes for several Universities on both coasts. He has been very active in the Section's activities; teaching classes, leading the Software TAG (SSQA), and he holds the distinction of being ASQ's SV Section Chair twice. He is also a founder, Lead instructor, and Past President of the Association for Software Testing (AST), an international professional society.