Government Acquisitions Accelerated AI

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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AI / ML – Why Should We Care?

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Artificial  Artificial Narrow Intelligence (ANI)
Intelligence
• AI Stages: Execute specific focused tasks, without 
Future ability to self‐expand functionality

• Timing: Today

• Implications: Outperform humans in specific repetitive 
functions, such as driving, medical diagnosis, and 
financial advice

Artificial  Artificial General Intelligence (AGI)

Intelligence • AI Stages: Perform broad tasks, reason, and improve 
capabilities comparable to humans
Machine ability to 
understand, learn, and  • Timing: About 2040?
act on information and  • Implications: Compete with humans, such as earning 

events, designed to  university degrees and convincing humans it is human
augment, provide 
assistance to, or perform  Artificial Super Intelligence (ASI)
tasks independently 
• AI Stages: Demonstrate intelligence beyond human 
from humans capabilities

• Timing: Soon after AGI
• Implications: Outperform humans, helping to achieve 

societal objectives or threatening human race

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What Workloads are Suitable for AI ?

AI helps Reduce Administrative
Burden, Resolve resource

allocation problems, Automate the
Workforce, Improve Worker
Productivity, Solve Complex
Mission Challenges

Mundane Repetitive Large Diverse Data Complex & Massive Large Scale IOT Data
Human Tasks & Routine Sets in a Data Lake Cyber Log Data from Autonomous
Processes (Workforce (Need to find Patterns (Predictive Threat Sensors (Image
Automation through RPA) & Correlations using
Detection & Mitigation) Classification for Smart
Object Tracking) Surveillance & Biometrics)

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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

Self‐Learning and Completing  Emerging AI
Automated Enterprise
Advanced Analytics 8
Computerized Human Thought Simulation 
Actions Towards Autonomic Agency Prescriptive  Cognitive 
Analytics Analytics
Simulation‐Driven Analysis and 
Decision‐Making Predictive  Analytics Curve
Analytics
Mature Data Lake
Insight
Foresight What Happened and Why

What Will Happen, When, and Why Hindsight
What Happened
Diagnostic 
Analytics

Descriptive 
Analytics

Operational Analytics

Today

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ARTIFICIAL INTELLIGENCE PROCESS FLOW

Input Data “Learning” Output Data
Machine Learning

System

Feed Learner  Align Appropriate  Present Results
Various Data  Type of Learning 
(e.g., exploratory, 
(e.g., structured and  System  predictive and 
unstructured) classification)
(e.g., supervised and 
unsupervised)

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7 Rapid Data Visualization & Decision Making 

7 Layers  Rich Data Visualization & Mission Enablement by Data Scientists, Data Analysts, AI Center of Excellence (COE).
of AI 
6 Containerized GPU Accelerated AI Applications
Technology  GPU Databases, Satellite Imagery Fusion, Robotic Process Automation, Intelligent Image Recognition, Responsibility 
Stack Determination Bots, User Behavior Analytics for Insider Threat Detection

(Important Enablers  5 Deep Learning User Software
Designed for  Apache Arrow, Apache Spark, NVIDIA RAPIDS, NVIDIA DIGITS, Supervised and unsupervised Learning Software
Ultimate AI
Visualization) 4 Deep Learning Frameworks
TensorFlow, Caffe, Pytorch, MXnet, H2O, CNTK, SciKit, Theano, Apache SINGA, CUDA Cores

SECURITY  3 Data Ingestion & Preparation
PRIVACY  High Speed Data Ingestion, Cleansing, Classification, Normalization, Tagging & Labelling, Indexing and 
GOVERNANCE  Correlation, Data Modeling & Training
ETHICS
FAIRNESS 2 AI Enabled Smart Endpoints
Sensors, Drones, Smart Devices, Cameras, LIDAR, IOT Devices, Autonomous Endpoints 
1
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.

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Roadmap to Success for AI Enabled Agency

How to succeed in your next AI project

Agencies that want to leverage AI in an effective way should consider the following:

2. Define a clear ownership structure and  4. Partner for capability and capacity: AI 
obtain full support from the agency leadership  workforce is today in short supply and 
& C‐level officers. Everyone should  developing complex AI solutions in‐house 
understand that starting the AI journey implies  can be highly costly and inefficient. In this 
an adoption curve and that learning might be  context, the contribution of SMEs and AI 
itself one of the greatest outcomes. Solution Providers can be invaluable.

1. Identify  2. Get The  3. Assess The  4. Look For  5. Create The 
The Problem Endorsement Capabilities Partnership Right 

Mindset

1. Identify the problems that are  3. Acknowledge the  5. Spread a digital 
preventing you from achieving  internal capability gap to  culture and prepare and 
your mission goals and focus your  understand what your  educate all those in the 
AI efforts on them in accordance  team is able to do and  agency who will be 
with your specific industry trends  what not. affected by the change.
and unique mission needs.

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AI / ML – Keys to Effective Pilots

Efficient  Resources:  Motivated  Clear  Structured  Clear 
workflow AI tools &  leaders &  business  & Clean  Outputs & 
Scientists AI Ready  case &  Data
Workforce  Use Case Success 
Criteria

Successful AI Pilots

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GAI HyperCAP 2.0 Reference Architecture

COMPLIANC & CYBER IT & BUSINESS OPERATIONS AI/ML/DEEP LEARNING 

FISMA Cyber and  IT  Business  Smart Edge  GPU 
& RMF &  Insider  Operational  Analytics Analytics Accelerated 
FITARA  Threat 
Compliance Analytics Application  Federated  Smart 
Detection &  Analytics Analytics Biometrics 
Remediatio and Video 
Analytics
n

REAL TIME INDEXING & SEARCHING MACHINE DATA

SCALE–OUT   GPU ACCELERATED  DEEP LEARNING  MULTIPLE   
INTEGRATED   WEB‐SCALE HYPERCONVERGED APPLIANCE HW USE–CASES

OPTIMIZED  
SOLUTION

GAI PROFESSIONAL SERVICES  +  PROJECT MANAGEMENT

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What is GAI Doing to Enable AI ?

01 AI Educational Workshops AI Technology & 02
Solution Enablement
AI Workshop & Market
Research for Business AI Ready Technology Bundles,
Decision Makers & Technical Full Solution Stack, Solution
Decision Makers Design, Proof of Concepts
(POC)

Artificial
Intelligence,
Machine Learning
& Deep Learning.

03 Professional Services Contract Vehicles & 04
Procurement
Professional Services, Project
Management, Technology GWACs, NASA SEWP-V, ITES-
Lifecycle Management, 3H, CIO-SP3, DHS First
Subject Matter Experts, Source, OTAs
Ongoing Support.

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Prem Jadhwani
Chief Technology Officer
Government Acquisitions Inc.
Prem.Jadhwani@gov‐acq.com
703‐554‐3827

“Dedication is our DNA….
Mission is our mindset! ”

Disclosure of this information requires written approval from Government Acquisitions, Inc.