Government Acquisitions Accelerated AI
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G AI for the Mission
PREM JADHWANI
CHIEF TECHNOLOGY OFFICER
PREM.JADHWANI@GOV‐ACQ.COM
PHONE: 703‐554‐3827
NOVEMBER 13, 2018
Disclosure of this information requires written approval from Government Acquisitions, Inc.
AGENDA
• AI – Current State and Future
• Choosing the Right AI Workloads
• AI Use Cases for Public Sector
• AI Maturity Model
• AI 7 Layer Technology Stack
• AI Roadmap to Success
• What is GAI doing to enable AI ?
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3
AI / ML – Why Should We Care?
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Artificial Narrow Intelligence (ANI)
• AI Stages: Execute specific focused tasks, without
ability to self‐expand functionality
• Timing: Today
•Implications: Outperform humans in specific repetitive
functions, such as driving, medical diagnosis, and
financial advice
Artificial General Intelligence (AGI)
•AI Stages: Perform broad tasks, reason, and improve
capabilities comparable to humans
• Timing: About 2040?
•Implications: Compete with humans, such as earning
university degrees and convincing humans it is human
Artificial Super Intelligence (ASI)
•AI Stages: Demonstrate intelligence beyond human
capabilities
• Timing: Soon after AGI
•Implications: Outperform humans, helping to achieve
societal objectives or threatening human race
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Artificial
Intelligence
Future
Artificial
Intelligence
Machine ability to
understand, learn, and
act on information and
events, designed to
augment, provide
assistance to, or perform
tasks independently
from humans
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Mundane Repetitive
Human Tasks & Routine
Processes (Workforce
Automation through RPA)
Large Diverse Data
Sets in a Data Lake
(Need to find Patterns
& Correlations using
Object Tracking)
Complex & Massive
Cyber Log Data
(Predictive Threat
Detection & Mitigation)
Large Scale IOT Data
from Autonomous
Sensors (Image
Classification for Smart
Surveillance & Biometrics)
AI helps Reduce Administrative
Burden, Resolve resource
allocation problems, Automate the
Workforce, Improve Worker
Productivity, Solve Complex
Mission Challenges
What Workloads are Suitable for AI ?
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AI Use‐Cases for the Public Sector
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Key Functions Replaced By Bots Using
Robotic Process Automation (RPA)
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AI Maturity Model –
Path to AI Optimized Agency
Descriptive
Analytics
Diagnostic
Analytics
Predictive
Analytics
Prescriptive
Analytics
Cognitive
Analytics
8
Today
Emerging
Operational Analytics
Advanced Analytics
Insight
What Happened and Why
Hindsight
What Happened
Self‐Learning and Completing
Automated Enterprise
Computerized Human Thought Simulation
Actions Towards Autonomic Agency
Simulation‐Driven Analysis and
Decision‐Making
Mature Data Lake
Foresight
What Will Happen, When, and Why Analytics Curve
AI
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ARTIFICIAL INTELLIGENCE PROCESS FLOW
Feed Learner
Various Data
(e.g., structured and
unstructured)
Align Appropriate
Type of Learning
System
(e.g., supervised and
unsupervised)
Present Results
(e.g., exploratory,
predictive and
classification)
Input Data
“Learning”
Machine Learning
System
Output Data
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SECURITY
PRIVACY
GOVERNANCE
ETHICS
FAIRNESS
Rapid Data Visualization & Decision Making
Rich Data Visualization & Mission Enablement by Data Scientists, Data Analysts, AI Center of Excellence (COE).
Containerized GPU Accelerated AI Applications
GPU Databases, Satellite Imagery Fusion, Robotic Process Automation, Intelligent Image Recognition, Responsibility
Determination Bots, User Behavior Analytics for Insider Threat Detection
Deep Learning User Software
Apache Arrow, Apache Spark, NVIDIA RAPIDS, NVIDIA DIGITS, Supervised and unsupervised Learning Software
Deep Learning Frameworks
TensorFlow, Caffe, Pytorch, MXnet, H2O, CNTK, SciKit, Theano, Apache SINGA, CUDA Cores
Data Ingestion & Preparation
High Speed Data Ingestion, Cleansing, Classification, Normalization, Tagging & Labelling, Indexing and
Correlation, Data Modeling & Training
AI Enabled Smart Endpoints
Sensors, Drones, Smart Devices, Cameras, LIDAR, IOT Devices, Autonomous Endpoints
AI Ready High Performance Infrastructure
Hybrid Cloud, High Performance Compute, Hyper Converged Infrastructure, Optimized Storage, GPU Accelerated HPC Purpose Built
Appliances,, FPGA & ASICs, High Speed Communication Networks, Geo Distributed Data Lakes, Virtualization & Containers, SDN,
Blockchain, Object Storage, Next Gen Security Platforms.
7 Layers
of AI
Technology
Stack
(Important Enablers
Designed for
Ultimate AI
Visualization)
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6
5
4
3
2
1
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Roadmap to Success for AI Enabled Agency
1. Identify
The Problem
2. Get The
Endorsement
3. Assess The
Capabilities
4. Look For
Partnership
5. Create The
Right
Mindset
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How to succeed in your next AI project
Agencies that want to leverage AI in an effective way should consider the following:
1. Identify the problems that are
preventing you from achieving
your mission goals and focus your
AI efforts on them in accordance
with your specific industry trends
and unique mission needs.
2. Define a clear ownership structure and
obtain full support from the agency leadership
& C‐level officers. Everyone should
understand that starting the AI journey implies
an adoption curve and that learning might be
itself one of the greatest outcomes.
3. Acknowledge the
internal capability gap to
understand what your
team is able to do and
what not.
5. Spread a digital
culture and prepare and
educate all those in the
agency who will be
affected by the change.
4. Partner for capability and capacity: AI
workforce is today in short supply and
developing complex AI solutions in‐house
can be highly costly and inefficient. In this
context, the contribution of SMEs and AI
Solution Providers can be invaluable.
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Efficient
workflow
Resources:
AI tools &
Scientists
Motivated
leaders &
AI Ready
Workforce
Clear
business
case &
Use Case
Structured
& Clean
Data
Clear
Outputs &
Success
Criteria
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AI / ML – Keys to Effective Pilots
Successful AI Pilots
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GPU ACCELERATED DEEP LEARNING
REAL TIME INDEXING & SEARCHING MACHINE DATA
FISMA
& RMF &
FITARA
Compliance
Cyber and
Insider
Threat
Detection &
Remediatio
n
IT
Operational
Analytics
Business
Analytics
Application
Analytics
IT & BUSINESS OPERATIONSCOMPLIANC & CYBER
Smart Edge
Analytics
Federated
Analytics
GPU
Accelerated
Smart
Biometrics
and Video
Analytics
AI/ML/DEEP LEARNING
SCALE–OUT
INTEGRATED
OPTIMIZED
SOLUTION
MULTIPLE
USE–CASES
GAI PROFESSIONAL SERVICES + PROJECT MANAGEMENT
WEB‐SCALE HYPERCONVERGED APPLIANCE HW
GAI HyperCAP 2.0 Reference Architecture
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04
GWACs, NASA SEWP-V, ITES-
3H, CIO-SP3, DHS First
Source, OTAs
Contract Vehicles &
Procurement
02
AI Ready Technology Bundles,
Full Solution Stack, Solution
Design, Proof of Concepts
(POC)
AI Technology &
Solution Enablement
Professional Services, Project
Management, Technology
Lifecycle Management,
Subject Matter Experts,
Ongoing Support.
Professional Services
03
AI Workshop & Market
Research for Business
Decision Makers & Technical
Decision Makers
AI Educational Workshops
01
Artificial
Intelligence,
Machine Learning
& Deep Learning.
What is GAI Doing to Enable AI ?
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Dedication is our DNA….“
”Mission is our mindset!
Prem Jadhwani
Chief Technology Officer
Government Acquisitions Inc.
Prem.Jadhwani@gov‐acq.com
703‐554‐3827