AI OpenPOWER event

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
2603 Camino Ramon #200, San Ramon,
CA 94583, USA

2. Title : Learning at Leadership Scale: Performance, Deployment Experiences, and Best
Practices
Abstract: HPC centers have been traditionally configured for simulation workloads, but
data analytics (including deep learning) methods and frameworks have been increasingly
applied alongside simulation on scientific datasets. These frameworks do not always fit well
with job schedulers, large parallel file systems, and MPI backends, and also vary in
performance based on whether the underlying architecture is a CPU or an accelerator like
a GPU or a combination. We discuss examples of how machine learning and deep learning
workflows are being deployed on next- generation systems at the Oak Ridge Leadership
Computing Facility including the lead up to the Power and Volta-based Summit system from
experiences on OLCF’s Titan and SummitDev. We will share benchmarks between native
compiled versus containers-based systems as well as best practices for deploying learning
and models on leadership resources supporting scientific workflows.
Jack Wells is the Director of Science for the Oak Ridge Leadership Computing Facility (OLCF), a DOE Office of
Science national user facility, and home to the Titan and upcoming Summit supercomputers, located at Oak Ridge
National Laboratory (ORNL). Wells is responsible for the scientific outcomes of the OLCF’s user programs. Wells
has a Ph.D. in physics from Vanderbilt University, and has authored or co-authored over 100 scientific papers and
edited 1 book, spanning nanoscience, materials science and engineering, nuclear and atomic physics computational
science, applied mathematics, and novel analytics measuring the impact of scientific publications.

3. Key Note speaker : Graham Mackintosh
Title : AI Research and OpenPOWER at the NASA Frontier Development Lab
Abstract: The NASA Frontier Development Lab (FDL) is an AI research accelerator
established to apply emerging AI technologies to space science challenges which
are central to NASA's mission priorities. The program is managed by the SETI
Institute, and brings together the AI capabilities of NASA, academic institutions, and
commercial partners to tackle complex space science problems, such as predicting
extreme solar events that can damage satellites and endanger the lives of
astronauts. In this session, we will present a summary of the NASA FDL research
results to date, and outline how the SETI Institute, as a member of the OpenPower
Foundation, plans to leverage the Power platform to expand its FDL 2018 research
program.
Graham Mackintosh is a pioneer in the field of advanced analytics, and has applied his thought leadership
into multiple new domains for big data analysis, high performance cloud computing, AI and Deep Learning.
He currently works as an AI consultant for NASA and the SETI Institute to provide technical and program
management support across a range of space science domains, including the application of deep learning
technologies to space weather, planetary defense and astrobiology. Prior to his current role as an AI
consultant, Graham worked in the Emerging Technology division of IBM Corporation, and led successful AI
initiatives at CERN, the SETI Institute, NASA Frontier Development Lab, and with the US Federal
Government.

4. Dr 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

5. 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)

6. Vinod Iyengar Vinod Iyengar heads alliances and product marketing at H2O. He is also a trained data scientist and works extensively with our
customers and partners to spread the word of how artificial intelligence can help enterprise transform their businesses.
Title: Driverless AI
Abstract: Driverless AI accelerates data science workflows by automating feature engineering, model tuning,
ensembling and model deployment. Driverless AI turns Kaggle-winning recipes into production-ready code and is
specifically designed to avoid common mistakes such as under or overfitting, data leakage or improper model
validation. Avoiding these pitfalls alone can save weeks or more for each model, and is necessary to achieve high
modeling accuracy
With Driverless AI, everyone can now train and deploy modeling pipelines with just a few clicks from the GUI.
Advanced users can use the client/server API through a variety of language such as Python, Java, C++, go, C# and
many more. To speed up training, Driverless AI uses highly optimized C++/CUDA algorithms to take full advantage
of the latest computer hardware.
Driverless AI runs orders of magnitudes faster on the latest Nvidia GPU on IBM Power platform, both in the cloud
or on-premise. There are two more product innovations in Driverless AI: statistically rigorous automatic data
visualization and interactive model interpretation with reason codes and explanations in plain English. Both help
data scientists and analysts to quickly validate the data and models.
Key Note speaker : Vinod Iyengar

7. Title: AI In Bank( Citi Bank )
Abstract: Improved Customer Focus: There is a growing expectation to personalize the services provided to the
customer and retain the customer.
AI has the Capability to segment the Data into various groups and can be used to segment the customers based on the
data from the conversation through telephonic & chat, visits to Branch & ATM, Usage across the various Channels (Net
banking, App) and personalize the Service.
Based on the Customer Actions, Transactions, Behaviors and Sentimental Analysis performed using AI Bank can provide
offers, products or the Next Best Action for a customer. This can lead to better Customer Loyalty and Retention.
Mundane Manual tasks by the Customers can be automated using the AI technology. Provide support in the validation of
the various KYC Documents, searching Documents for providing guidance, etc.
Suggest Investments opportunities based on data gathered. Models trained based on the Historical Data, Macro Economic
Data can support the Bank in adopting Investment Strategies.
Uppili Rajagopalan Senior Executive in Financial Industry where he has 20
years of experience . Uppili leads Global O&T Alternate Customer Contact team. He provides leadership and
expertise for ASIA & EMEA regional delivery and application development for Chat, Digital Virtual Agent, eDelivery and
Robotic process automation initiatives.
Uppili holds a Bachelors in Computer Science & Masters in Business Administration
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. 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 )

10. 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-functional teams to ensure
success and achieve goals. Known as an innovative thinker with strong
product marketing, business development, go-to-market strategy, partnership
and data storage acumen. Recognized for maximizing performance by
implementing appropriate strategies through analysis of details to gain
understanding of the competitive position, emerging issues, trends and
relationships.

11. Vasanth Ram is a Hardware Professional and has built GPUs, Tablets, Laptops at
Imagination Technologies, AMD & Intel with an emphasis on Low Power. He also does
researchinLowPowerDatacenterschedulersuitableforIaaSCloudwithMachineLearning
based Workload Prediction and Host Provisioning. He is passionate about solving real-
world problems and has built Computer Vision-based Autonomous and semi-autonomous
Robots. He also consults in Hyper-scale & Hyper-converged Datacenters Architectures
(Compute, Storage & Network) and end-to-end ASIC paper to production for CPUs and
GPUs for startups, consulting firms and enterprises. He Has Master of Science in
Computer Engineering from University of California Santa Barbara and Bachelor of
EngineeringinElectronicsEngineeringfromCoimbatoreInstituteofTechnology,India
AGKarunakaranwasthefoundingPresidentandCEOofGDATechnologiesInc.,
aleadingIntellectualPropertylicensingandelectronicsdesignservicesCompany.GDAwas
purchasedbyL&TInfotech,IndiainMarch2007.AtGDA,hewasresponsibleforleadership
development,growthstrategy,prudentcashmanagementandworkedwithleading
Semiconductorcompaniestocommercializethesiliconintellectualpropertyblocks.
UnderhisleadershipGDAmadeittotheINC500list,Si100lists,grewto400employees,
deliveredonsignificantproductdevelopmentengagementswithleadingsystemsand
semiconductorcompaniesandbecamealeadingsupplierofHighspeedSerialI/O
Semiconductor Intellectual blocks. He has deep experience in bootstrapping companies
andinstrategicM&Atransactions,havingconsummateddealsforGDAwithL&TInfotech
andRambus.