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AI and OpenPOWER Meetup
Spend a half day learning about Artificial Intelligence's latest real-world impact
and gather the latest cutting-edge insights from the pioneers in your industry.
Discover advances in deep learning tools and techniques from the world’s
leading innovators across industry, research and financial sector
We’re excited to announce that the prominent speakers will be joining us at the
AI and OpenPOWER ADG Meet up,
on 25th March,2018
At 4.00 pm to 7.30 pm
h2o.AI HQ
2301 Leghorn Street, Mountain View
Mountain View
CA 94043
Ganesan Narayanasamy is an OpenPOWER leader for Academia and research at the IBM Lab. Ganesan is
best known for his contributions to High Performance Computing as senior leader for nearly 1.5 decades. He
is also leading the WW Academia work group for OpenPOWER and putting together OpenPOWER ECO
System development activities like setting up OpenPOWER center of excellence, OpenPOWER labs,
Curriculum development etc. Ganesan is always passionate about working with Universities and research
Institutes and provide all kinds of technical mentoring.
Title: OpenPOWER ADG and AI
Abstract : Ganesan Narayanasamy will talk about various activities around
OpenPOWER Academia and Research group as part of OpenPOWER
Foundation.
He will also talk about the Massive super computer from two National labs in
USA
Key Note speaker : Ganesan Narayanasamy ( IBM )
Mrs Sudha Jamthe is the CEO of IoTDisruptions.com and a globally recognized thought leader at the junction of IoT and
Autonomous Vehicles. She brings twenty years of digital transformation experience from building organizations, shaping
new technology ecosystems and mentoring leaders at eBay, PayPal, Harcourt, and GTE. She teaches the IoT Business
course and "The Business of Self-Driving Cars" Course at Stanford Continuing Studies Program and enjoys mentor industry
professionals to shape emerging technology ecosystems. She advises corporate and city leaders on regional economic
development using technology with a focus on innovation gaps and social equality.
Title: AI Trends towards a Driverless World
Speaker is author of '2030 The Driverless World' about the junction of
Autonomous cars and Cognitive IoT. She is the author of three IoT books,
'IoT Disruptions,' 'IoT Disruptions 2020' and 'The Internet of Things Business
Primer'. She is the producer of 'The IoT Show' on YouTube. Sudha is a
champion for STEM programs and 'Girls Who Code,' and hosts mentor
programs for kids.
Key Note speaker : Sudha Jamthe
Dr. AndréWalker-Loud is a Scientist at Lawrence Berkeley National Laboratory. His research is
focused on basic questions in nuclear and particle physics related to probing the limits of our
understanding of the Standard Model. This research requires the use of high-performance
computing and will flourish in the age of exa-scale computing.
Title: Leadership class computing for basic physics research
Abstract:
The development and confirmation of the Standard Model of particle physics stands as one of the great scientific
achievements of the 20th(+) century. The Standard Model, plus Einstein’s theory of gravity, General Relativity, describes all
the known interactions amongst all the known particles in the universe. Yet, we have very compelling reasons to believe
the Standard Model and the known particles comprise a mere 5% of the total “stuff”in the universe. For example, we
observe the universe is composed of matter and not anti-matter, yet the Standard Model predicts the amount of matter and
anti-matter should be created in nearly equal amounts. We also observe the universe is composed of approximately 25%
Dark Matter: we have no confirmed idea what Dark Matter is, hence it is “Dark”, yet we observe it to be “clump”with the
observed galaxies.
These puzzles have spawned a substantial international effort to understand why the universe has favored matter over anti-
matter, to try and detect the interaction of dark matter with matter, and many other challenging fundamental physics
puzzles. In order to understand what the experiments are observing (or not), we must be able to predict precisely what the
Standard Model predicts. This is a challenging endeavor: One of the cornerstones of the Standard Model is Quantum
Chromodynamics, which is the fundamental theory of Nuclear Strong interactions. The only way we know how to compute
properties of strongly interacting matter is through the use of a discrete version of the theory which we can simulate on a
computer. To make progress, we must utilize Leadership Class High Performance Computers, such as those at Lawrence
Livermore and Oak Ridge National Laboratories.
Key Note speaker : Dr. AndréWalker-Loud ( Lawrence Berkeley
Lab )
Leo Reiter : Chief Technology office at Nimbix and is a virtualization and cloud computing pioneer
with over 20 years of experience in software development and technology strategy. Prior to Nimbix,
Mr. Reiter was co-founder and CTO of Virtual Bridges, an early innovator in server-based computing
and private cloud platforms for Enterprise. Mr. Reiter is an entrepreneur with a strong background in
Lean Startup and Agile methodologies.
Title: PowerAI on Nimbix Cloud
Abstract: Leo will be sharing the PowerAI and HPC features running Nimbix
Cloud . He will also share the various industry based use cases and
customer experiences on the Nimbix Cloud platform .
Key Note speaker : Leo Reiter from Nimbix ( AI
Cloud )
Dr. Jim Spohrer is IBM Director, Cognitive Opentech Group (COG) leading open source AI work at IBM. Previously,
he was Director IBM Global University Programs, co-founded IBM Almaden Service Research Group, ISSIP Service
Science community, and was founding CTO of IBM’s VC Group in Silicon Valley. At Apple Computer (1990’s), as a
Distinguished Engineer Scientist Technologist (DEST), he developed next generation learning platforms. Earlier
(19740-1989), he earned an MIT BS Physics, Yale PhD in CS/AI, and worked at Verbex, an Exxon company for
speech recognition and machine learning. With over ninety publications and nine patents, he is a PICMET Fellow
and winner of the Gummesson Service Research award as well as Vargo & Lusch Service-Dominant Logic award.
Title: The Future of AI: Measuring Progress and Preparing
Abstract: An industry perspective and forecast of where technology
is going, including the what and when for "solving" Artificial
Intelligence (AI), is presented. Next, the benefits and challenges will
be discussed, including impact on jobs, both near term via
Intelligence Augmentation (IA) and longer term via automation. The
impact on different sectors of the economy will be explored, and
how best to prepare for the changes that are anticipated (hint:
befriend someone studying GitHub open AI code + data + models +
containers).
Key Note speaker : Jim Spohrer (IBM)
Uppili Rajagopalan is a Senior VP from a reputed multinational bank. As an innovative leader Uppili contributes to the development and growth of the company’s
business performance by using cutting edge technology. He has successfully managed large advanced technology integrations, major eCommerce initiatives, Business intelligence,
Infrastructure projects and Product Management. Prior to joining the Banking Industry, Uppili has played many roles in the Healthcare industry working for a Major Pharmacy
Benefit Manager in the US. comes with a rich cultural exposure of working in Singapore, India and in the US. He provides leadership and expertise for ASIA & EMEA regional
delivery and application development for Chat, CHATBOT, Digital Virtual Agent, eDelivery and Robotic process automation initiatives.
Title: Digital transformation in Financial Industry
Abstract: AI can be applied across the various facets of the Banking. AI can be used to create Models/Algorithms to learn
segmentation of the Data, predict the probability of occurrence of an event or determine hidden patterns of the underlying data. The
advantages of using AI Technology in Banking can be beneficial for both internal and external customers of the bank. Improved
Customer Focus, Personalize the Service, Customer Loyalty and Retention, Provide Investments Strategies based on data gathered
are some direct benefits of using AI.
Use of appropriate technology can also contribute to Controlling Risks of financial Loses and Fraudulent activities. Increased security is
the key for financial transactions; Voice Recognition/Validation and Image Recognition/Validation are used widely for this purpose.
With the advent of ML’s capability in predicting defaulters, Non Performing Asset, predicting the probability of a transaction being
fraudulent across the Channels can be done. Training Models with the data from various internal sources like chats, mails, social
media supports can be leveraged to prove rich customer experience .
To sum up, AI can be applied almost across all the operations of the Bank, be it in Marketing of the Products to the Customers,
onboarding of Genuine Customers, Servicing of Genuine Customers and Eliminating Fake Customers, and Improving the optimal
Usage of Resources.
Key Note speaker : Uppili Rajagopalan
Dr. Berthold Reinwald is a Principal RSM at IBM Research - Almaden. He is the technical lead for
Apache SystemML. His research interests include scalable analytics platforms and database
technology
which he contributes to IBM Watson.
Title: Scalable Machine/Deep Learning with Apache SystemML on
Power
Abstract: We will present perspectives and challenges of machine/deep
learning in the enterprise. We will cover a variety of use cases from different
vertical industries, discuss the state of the art, and take a critical look at
challenges in systems development. We will draw from the experience in the
development of Apache SystemML, an open source project for declarative,
large scale machine/deep learning, and show deep learning examples running
on Power.
speaker : Berthold Reinwald (IBM Research)
Jussi kukkonun , self-directed and driven vice president with a
comprehensive background in system integration and IT solution provider
business delivering data center solutions for enterprise, high performance
computing and cloud and hosting provider customers and leading cross-
functionalteamstoensuresuccessandachievegoals.Knownasaninnovative
thinker with strong product marketing, business development, go-to-market
strategy, partnership and data storage acumen. Recognized for maximizing
performancebyimplementingappropriatestrategiesthroughanalysisofdetails
to gain understanding of the competitive position, emerging issues, trends and
relationships.
speaker : Jussi Kukkonun ( Penquin Computing)
Title: OpenPOWER Box showcase
Abstract: Jussi will be showcasing the OpenPOWER box ( Power 9 ) and share
few case studies .

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Ai open powermeetupmarch25th_latest

  • 1. AI and OpenPOWER Meetup Spend a half day learning about Artificial Intelligence's latest real-world impact and gather the latest cutting-edge insights from the pioneers in your industry. Discover advances in deep learning tools and techniques from the world’s leading innovators across industry, research and financial sector We’re excited to announce that the prominent speakers will be joining us at the AI and OpenPOWER ADG Meet up, on 25th March,2018 At 4.00 pm to 7.30 pm h2o.AI HQ 2301 Leghorn Street, Mountain View Mountain View CA 94043
  • 2. Ganesan Narayanasamy is an OpenPOWER leader for Academia and research at the IBM Lab. Ganesan is best known for his contributions to High Performance Computing as senior leader for nearly 1.5 decades. He is also leading the WW Academia work group for OpenPOWER and putting together OpenPOWER ECO System development activities like setting up OpenPOWER center of excellence, OpenPOWER labs, Curriculum development etc. Ganesan is always passionate about working with Universities and research Institutes and provide all kinds of technical mentoring. Title: OpenPOWER ADG and AI Abstract : Ganesan Narayanasamy will talk about various activities around OpenPOWER Academia and Research group as part of OpenPOWER Foundation. He will also talk about the Massive super computer from two National labs in USA Key Note speaker : Ganesan Narayanasamy ( IBM )
  • 3. Mrs Sudha Jamthe is the CEO of IoTDisruptions.com and a globally recognized thought leader at the junction of IoT and Autonomous Vehicles. She brings twenty years of digital transformation experience from building organizations, shaping new technology ecosystems and mentoring leaders at eBay, PayPal, Harcourt, and GTE. She teaches the IoT Business course and "The Business of Self-Driving Cars" Course at Stanford Continuing Studies Program and enjoys mentor industry professionals to shape emerging technology ecosystems. She advises corporate and city leaders on regional economic development using technology with a focus on innovation gaps and social equality. Title: AI Trends towards a Driverless World Speaker is author of '2030 The Driverless World' about the junction of Autonomous cars and Cognitive IoT. She is the author of three IoT books, 'IoT Disruptions,' 'IoT Disruptions 2020' and 'The Internet of Things Business Primer'. She is the producer of 'The IoT Show' on YouTube. Sudha is a champion for STEM programs and 'Girls Who Code,' and hosts mentor programs for kids. Key Note speaker : Sudha Jamthe
  • 4. Dr. AndréWalker-Loud is a Scientist at Lawrence Berkeley National Laboratory. His research is focused on basic questions in nuclear and particle physics related to probing the limits of our understanding of the Standard Model. This research requires the use of high-performance computing and will flourish in the age of exa-scale computing. Title: Leadership class computing for basic physics research Abstract: The development and confirmation of the Standard Model of particle physics stands as one of the great scientific achievements of the 20th(+) century. The Standard Model, plus Einstein’s theory of gravity, General Relativity, describes all the known interactions amongst all the known particles in the universe. Yet, we have very compelling reasons to believe the Standard Model and the known particles comprise a mere 5% of the total “stuff”in the universe. For example, we observe the universe is composed of matter and not anti-matter, yet the Standard Model predicts the amount of matter and anti-matter should be created in nearly equal amounts. We also observe the universe is composed of approximately 25% Dark Matter: we have no confirmed idea what Dark Matter is, hence it is “Dark”, yet we observe it to be “clump”with the observed galaxies. These puzzles have spawned a substantial international effort to understand why the universe has favored matter over anti- matter, to try and detect the interaction of dark matter with matter, and many other challenging fundamental physics puzzles. In order to understand what the experiments are observing (or not), we must be able to predict precisely what the Standard Model predicts. This is a challenging endeavor: One of the cornerstones of the Standard Model is Quantum Chromodynamics, which is the fundamental theory of Nuclear Strong interactions. The only way we know how to compute properties of strongly interacting matter is through the use of a discrete version of the theory which we can simulate on a computer. To make progress, we must utilize Leadership Class High Performance Computers, such as those at Lawrence Livermore and Oak Ridge National Laboratories. Key Note speaker : Dr. AndréWalker-Loud ( Lawrence Berkeley Lab )
  • 5. Leo Reiter : Chief Technology office at Nimbix and is a virtualization and cloud computing pioneer with over 20 years of experience in software development and technology strategy. Prior to Nimbix, Mr. Reiter was co-founder and CTO of Virtual Bridges, an early innovator in server-based computing and private cloud platforms for Enterprise. Mr. Reiter is an entrepreneur with a strong background in Lean Startup and Agile methodologies. Title: PowerAI on Nimbix Cloud Abstract: Leo will be sharing the PowerAI and HPC features running Nimbix Cloud . He will also share the various industry based use cases and customer experiences on the Nimbix Cloud platform . Key Note speaker : Leo Reiter from Nimbix ( AI Cloud )
  • 6. Dr. Jim Spohrer is IBM Director, Cognitive Opentech Group (COG) leading open source AI work at IBM. Previously, he was Director IBM Global University Programs, co-founded IBM Almaden Service Research Group, ISSIP Service Science community, and was founding CTO of IBM’s VC Group in Silicon Valley. At Apple Computer (1990’s), as a Distinguished Engineer Scientist Technologist (DEST), he developed next generation learning platforms. Earlier (19740-1989), he earned an MIT BS Physics, Yale PhD in CS/AI, and worked at Verbex, an Exxon company for speech recognition and machine learning. With over ninety publications and nine patents, he is a PICMET Fellow and winner of the Gummesson Service Research award as well as Vargo & Lusch Service-Dominant Logic award. Title: The Future of AI: Measuring Progress and Preparing Abstract: An industry perspective and forecast of where technology is going, including the what and when for "solving" Artificial Intelligence (AI), is presented. Next, the benefits and challenges will be discussed, including impact on jobs, both near term via Intelligence Augmentation (IA) and longer term via automation. The impact on different sectors of the economy will be explored, and how best to prepare for the changes that are anticipated (hint: befriend someone studying GitHub open AI code + data + models + containers). Key Note speaker : Jim Spohrer (IBM)
  • 7. Uppili Rajagopalan is a Senior VP from a reputed multinational bank. As an innovative leader Uppili contributes to the development and growth of the company’s business performance by using cutting edge technology. He has successfully managed large advanced technology integrations, major eCommerce initiatives, Business intelligence, Infrastructure projects and Product Management. Prior to joining the Banking Industry, Uppili has played many roles in the Healthcare industry working for a Major Pharmacy Benefit Manager in the US. comes with a rich cultural exposure of working in Singapore, India and in the US. He provides leadership and expertise for ASIA & EMEA regional delivery and application development for Chat, CHATBOT, Digital Virtual Agent, eDelivery and Robotic process automation initiatives. Title: Digital transformation in Financial Industry Abstract: AI can be applied across the various facets of the Banking. AI can be used to create Models/Algorithms to learn segmentation of the Data, predict the probability of occurrence of an event or determine hidden patterns of the underlying data. The advantages of using AI Technology in Banking can be beneficial for both internal and external customers of the bank. Improved Customer Focus, Personalize the Service, Customer Loyalty and Retention, Provide Investments Strategies based on data gathered are some direct benefits of using AI. Use of appropriate technology can also contribute to Controlling Risks of financial Loses and Fraudulent activities. Increased security is the key for financial transactions; Voice Recognition/Validation and Image Recognition/Validation are used widely for this purpose. With the advent of ML’s capability in predicting defaulters, Non Performing Asset, predicting the probability of a transaction being fraudulent across the Channels can be done. Training Models with the data from various internal sources like chats, mails, social media supports can be leveraged to prove rich customer experience . To sum up, AI can be applied almost across all the operations of the Bank, be it in Marketing of the Products to the Customers, onboarding of Genuine Customers, Servicing of Genuine Customers and Eliminating Fake Customers, and Improving the optimal Usage of Resources. Key Note speaker : Uppili Rajagopalan
  • 8. Dr. Berthold Reinwald is a Principal RSM at IBM Research - Almaden. He is the technical lead for Apache SystemML. His research interests include scalable analytics platforms and database technology which he contributes to IBM Watson. Title: Scalable Machine/Deep Learning with Apache SystemML on Power Abstract: We will present perspectives and challenges of machine/deep learning in the enterprise. We will cover a variety of use cases from different vertical industries, discuss the state of the art, and take a critical look at challenges in systems development. We will draw from the experience in the development of Apache SystemML, an open source project for declarative, large scale machine/deep learning, and show deep learning examples running on Power. speaker : Berthold Reinwald (IBM Research)
  • 9. Jussi kukkonun , self-directed and driven vice president with a comprehensive background in system integration and IT solution provider business delivering data center solutions for enterprise, high performance computing and cloud and hosting provider customers and leading cross- functionalteamstoensuresuccessandachievegoals.Knownasaninnovative thinker with strong product marketing, business development, go-to-market strategy, partnership and data storage acumen. Recognized for maximizing performancebyimplementingappropriatestrategiesthroughanalysisofdetails to gain understanding of the competitive position, emerging issues, trends and relationships. speaker : Jussi Kukkonun ( Penquin Computing) Title: OpenPOWER Box showcase Abstract: Jussi will be showcasing the OpenPOWER box ( Power 9 ) and share few case studies .