Detailed information about Center of Excellences where OA is playing a major part for Institutions and enabling the AI technologies for the students.

1. Object Automation Centre of Excellence
EMPOWERING UNIVERSITIES FOR THE NEW ERA INDUSTRY

2. WHO WE ARE
T E C H N I C A L R E S E A R C H E R S A N D T R A I N E R S
From Software solutions in 2001 during our inception to Data
Science Solutions with AI Consulting, AI Solutions and AI Training, we
have come along through immense evolution.
Object Automation is an artificial intelligence research and
consultancy with expertise in deep neural network design, and
related hardware, software, and strategy.
S O F T W A R E S O L U T I O N S P R O V I D E R S

3. WHAT WE DO
S O F T W A R E S O L U T I O N S
T R A I N I N G S
SOLUTION S
OFFERED
•Setting up AI Lab with AC922 server
Hardware Solution
•Providing AI solutions for different sectors
Software Solution
•Supporting students for their internship and
project development
Internship Training
•Mentoring students with various Technologies
Educational support

4. TODAY’S AGENDA
W H O W E A R E & W H AT W E D O
S O LU T I O N S C R E AT E D I N T H E PA S T
O U R T EA M
W H AT W E H AV E F O R YO U
~ T H E O B J E C T I V E S
~ T H E P L A N
~ T H E D U R AT I O N
W H Y YO U S H O U L D D O I T “ N OW ”
T H E D E M O
Centre of Excellence

5. 5
DEVELOPED SOLUTIONS

6. OUR OFFERINGS
L E T T H E D E T A I L S
S P E A K

7. WHY DATA SCIENCE
The course covers the concepts and tools you
need throughout the entire data science
pipeline, In the final project, you’ll apply the
skills learned by building a data product using
real-world data. At completion, students will
receive IBM Badge with the completio
certificate.
Novice to world of Data Science and Coding?
No problem, this course is exactly the one you
were looking for!

8. Comprehensive Training on Data & Data Modelling
8 MAJOR CONCEPTS & 32 MODULES
DATA SCIENCES

9. DATA SCIENCE TRAINING CURRICULUM

10. 10
DATA SCIENCE TRAINING CURRICULUM

11. WHY AI
TECHNOLOGIES

12. Comprehensive Training on Data & Data Modelling
8 MAJOR CONCEPTS & 5 CASE STUDIES
AI TECHNOLOGIES

13. AI TECHNOLOGIES TRAINING CURRICULUM

14. 14
AI TECHNOLOGIES TRAINING CURRICULUM

15. 15
AI TECHNOLOGIES TRAINING CURRICULUM
1
4
3
2
5

16. WHY EDGE
COMPUTING

17. Comprehensive Training on Data & Data Modelling
8 MAJOR CONCEPTS & 5 CASE STUDIES
HIGH PERFORMANCE COMPUTING

18. EXPLORING THE POWER OF CONTAINERIZATION TO IMPROVE DATA- AND HPC-
EDUCATION
• Hands-on learning over big data sets is complicated by several factors including data movement,
bandwidth consumption. To understand the analytics at scale, students need a uniform learning
environment to fulfil their learning needs on top of multiple different infrastructures starting from their
personal laptop to different types of high-performance computing cluster.
• In this presentation, I will demonstrate ‘Onstitute’ addresses this issue utilizing the power of
containerization on top of cutting edge HPC-technologies such as, POWER-based hardware. We
developed an end-to-end learning management framework that provides optimized containers, with
different analytic software for multiple different platforms. Our platform separates the computation from
data in order to save bandwidth while executes containers on demand on the big data that resides on the
HPC. Our management platform and containers are designed to meet a broad range learning needs for
different job-roles including data-curator, data-architect, data-scientist, data-engineer.
Prof Arghya Das from University of Wisconsin Platteville

19. THE EXTREME-SCALE SCIENTIFIC SOFTWARE STACK(E4S)
• The DOE Exascale Computing Project (ECP) Software Technology focus area is developing an HPC software
ecosystem that will enable the efficient and performant execution of exascale applications. The Extreme-
scale Scientific Software Stack (E4S) [https://e4s.io], is a coherent software stack that will enable
application developers to write parallel applications that can target diverse exascale architectures. E4S
provides both source builds through the Spack platform and a set of containers that feature a broad
collection of HPC software packages. E4S exists to accelerate the development, deployment, and use of
HPC software, lowering the barriers for HPC users. It provides container images, build manifests, and
turn-key, from-source builds of popular HPC software packages developed as Software Development Kits
(SDKs). It will introduce the E4S containers are being deployed at the HPC systems at DOE national
laboratories using Singularity, Shifter, and Charliecloud container runtimes.
Prof Sameer Shende from University of Oregon

20. OPENPOWER PLATFORMS
• Ganesan Narayanasamy will talk about various activities around OpenPOWER Academia and Research
group as part of OpenPOWER Foundation and IBM AI . He will also talk about the Massive super
computer from two National labs in USA
Ganesan Narayanasamy from IBM

21. AI AND EDGE COMPUTING USING IBM POWER 9 PLATFORM
• This talk gives an introduction about machine learning and deep learning and also gives the difference
between ML and DL and how they are generally used in context of analytics.
• Will discuss about the iterative nature of the workflow and some of the important components to be
aware in developing your AI solutions.
• Will discuss about the different types of algorithms and when machine learning might be more
appropriate in deep learning or the other way. Life cases in terms of examples and the outcomes, things
that you look at when your are evaluating the models.
Ms. Clarisse from IBM

22. A LOOK AT CURRENT ERROR MITIGATION AND BENCHMARKING PRACTICES
WITH NISQ ERA TECHNOLOGIES
• With several noisy intermediate scale quantum (NISQ) computing platforms already accessible on the
cloud, it's becoming more important than ever to develop and refine certification and benchmarking
practices. However, this can be difficult thanks to the subtle differences in error sources across quantum
hardware and the fact that errors occur at different hierarchical levels in the quantum computing process.
In this talk we look at the current state of certification and benchmarking protocols. I highlight the
notable techniques being used for error correction in NISQ era technologies and present some interesting
directions for developing future fault tolerant systems required for large scale universal quantum
computers.
Mr. Christopher Coleman from Quantum News

23. POWER 10 FEATURES
• POWER10 is IBM's next generation POWER micro-processor that includes superior attributes for
enterprise, cognitive and high-performance computing. This talk will describe many of the innovations
and capabilities of POWER10 that provide a strong foundation for high-performance computing
workloads. POWER10 features a new core microarchitecture focused on energy efficiency, thread
strength, increased SIMD execution capabilities, and instruction set enhancements targeted toward AI
optimization. The Open Memory Interface (OMI) provides superior memory bandwidth, low access
latency, and a technology agnostic physical interface. A substantial data plane bandwidth increase
supports the OMI memory attach as well as next generation I/O capabilities including robust PCIe and
OpenCAPI accelerator attach. The PowerAXON high bandwidth, low latency, multi-protocol link
architecture provides scale-out system architectures that provide disaggregated memory clustering
capabilities and superior scaling capabilities.
William Starke From IBM

24. QUANTUM HUB

25. Ideal place to connect, learn more and track trends
AN IDEAL PLACE TO CONNECT WITH QUANTUM COMPUTING WORLD
QUANTUM HUB

26. Highlights of
Quantum Hub
Regular online workshops and information
sessions featuring panel discussions will
experts in Quantum Computing.
All the latest news on technology
developments including new quantum
platforms, breakthroughs on existing
systems as well as use cases and real-life
applications.
Access to our database of market analytics
including our quarterly report on
emergent and established players.




27. WHY
INDUSTRY 4.0

28. Hands on Training and Skill Development
7 MAJOR CONCEPTS & 1 ENTIRE FACTORY PROJECT
INDUSTRY 4.0

29. Topics
Covered
Within
Training
Industry 4.0 & IoT
Cyber Physical Systems (CPS)
Role of Big Data & Analytics in Industry 4.0
Smart Factory & Smart Products
Additive Manufacturing
Computational Vision
PAGE 29

30. Components of
Learning
PAGE 30
Internet of Things (IoT)
Manufacturing Execution Systems (MES)
Smart Factory/Smart Products
Big Data & Analytics
Additive Manufacturing
Computational Vision
Cyber Physical Systems (CPS)
We will cover these skills

31. Methodology
 Setting up an Assembly Line for a simple product
assembly as chosen by university. This can also have the
possibility to enable in the making of some parts and
assembly components inhouse.
 SMART Products assembly is the target. eg: connected,
interacting with the user or other products (p2u/p2p),
trackable, etc.
 Additive Manufaturing Training.
 Training for different aspects of Manufacturing with focus
for Industry 4.0 scenarios, like MES, remote control of
manufacturing/check/control process.
 Industrial processes & Logistics research for India
implementation.
 Computational Vision research.
PAGE 31

32. Advantages
Early Introduction to Students for Industry 4.0 and Smart
Manufacturing of the future
Research Centre for Master and PhD Students for Industry
4.0 and CPS/Digital Twin
Collaboration with many other Industry players over a period
of time for research and projects
Research and Implementation based for India specific
challenges and solutions creations
Can serve as small hub for Start-ups for Industrial Solutions
PAGE 32

33. I M P L E M E N TAT I O N

34. Clients and Partners

35. Educational Partners

36. OUR ELITE TEAM OF COLLABORATORS
WE STRIVE FOR YOUR EXCELLENCE
Condensed matter physicist and
quantum technologist
Scientific Program Manager for
HPC/Supercomputing at NVIDIA
Professor , The Ohio State
University
Associate Professor at The National
Institute Of Engineering, Mysore
CEO & Co-Founder at Appentra.
High Performance Computing
Software
Research Associate Professor and
Director, Performance Research
Laboratory, University of Oregon
Executive IT Architect, IBM Systems
JACK C WELLS Dhabaleswar K (DK) Panda
Christopher Coleman SAMEER SHENDE CLARISSE HEDGLIN
ABHINANDAN SP
Manuel Arenaz
Assistant Professor (Computer
Science),
University of Wisconsin-Platteville
Arghya Kusum Das

37. www.object-automation.com
HELLO!
We’re Object Automation
we offer you with knowledge on
futuristic technologies.
You can find us
@www.object-automation.com
Linkedin@
linkedin.com/in/objectautomation
Tweet @ obj auto
Facebook @ objectautomation

38. www.object-automation.com
Contact Details:
hr@object-automation.com
USA : 914 204 2581
India : (+91) 7397784815
Thank you.
We look forward to working
together.
www.object-automation.com
India
Object Automation Software Solutions Pvt. Ltd.
Chennai.
USA
Object Automation Inc.
New York.