Disruptive technologies - Session 1 - introduction

12/24/2018
1
Bohitesh Misra, PMP
Ex-Vice President – IT & BI, Simpa Networks
Bohitesh.misra@gmail.com
+91 9810132624
#Eminent CIOs of India 2018 #CIO200

12/24/2018
3
Gartner Strategic Planning Assumptions
 By 2022, at least 40% of new application development
projects will have artificial intelligence co-developers
on the team.
 By 2021, 10% of new vehicles will have autonomous
driving capabilities, compared with less than 1% in
2018.
 By 2030, blockchain will create $3.1 trillion in business
value.

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 By 2022, more than 50% of all people collaborating in
Industry 4.0 ecosystems will use virtual assistants or
intelligent agents to interact more naturally with their
surroundings and with people.
 Through 2028, storage, computing and advanced AI
and analytics technologies will expand the capabilities
of edge devices.

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 By 2022, 100 million consumers will shop in
Augmented Reality.
 By 2021, organizations that bypass privacy
requirements and are caught lacking in privacy
protection will pay 100% more in compliance cost than
competitors that adhere to best practices.
 By 2023, 20% of organizations will be budgeting for
quantum computing projects, compared to less than
1% in 2018.

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Emerging technologies will change
everything – how we work, how we
live, how we communicate

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Disruptive Technologies
 Internet of Things (IoT) and Smart devices for everyday life
 From gathering new data to automation of infrastructure, companies are
finding many benefits from adding connectivity and intelligence to physical
infrastructure.
 Increased IoT adoption will present new security threats.
 IoT sensors on the factory floor generate data that supply chain managers use to
optimize shipping and inventory processes.
 Big Data
 Big data is a term used to refer to data sets that are too large or complex for
traditional data-processing application software to adequately deal with.
 Business Analytics / Artificial Intelligence / Machine Learning
 Business analytics (BA) refers to the skills, technologies, practices for
continuous iterative exploration and investigation of past business performance
to gain insight and drive business planning.
 Business analytics focuses on developing new insights and understanding of
business performance based on data and statistical methods.
 Read - analyzing social media messages
 See - facial recognition
 Speak - Alexa being able to answer you
 Listen - Alexa standing by to answer your every command
 Sentiment Analysis - Gauge our emotions

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 The Internet of Things (IoT)
refers to the ever-growing
network of physical objects that
feature an IP address, and the
communication that occurs
between these objects and other
Internet-enabled devices and
systems.
Internet of Things (IoT)
8

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Solar IoT Solution features
•GSM/GPRS module with an M2M embedded SIM for data
communication
•MCU+BLE chip for all calculation and processing,
•Flash memory to store information for backup
•Temperature sensor to monitor the ambient temperature
•Circuitry to sense the input voltage, input current or reverse
voltage
•The device to be powered from the SPV input power
9

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10
Large-scale Data is Everywhere!
 There has been enormous data
growth in both commercial
and scientific databases due to
advances in data generation
and collection technologies
 New mantra
 Gather whatever data you can
whenever and wherever
possible.
 Expectations
 Gathered data will have value
either for the purpose collected
or for a purpose not
envisioned.
Computational Simulations
Social Networking: Twitter
Sensor Networks
Traffic Patterns
Cyber Security
E-Commerce

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Business Analytics
 Business analytics (BA) refers to the skills,
technologies, practices for continuous iterative
exploration and investigation of past business
performance to gain insight and drive business
planning.
 Business analytics makes extensive use of statistical
analysis, including explanatory and predictive
modeling, and fact-based management to
drive decision making

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Tid Refund Marital
Status
Taxable
Income Cheat
1 Yes Single 125K No
2 No Married 100K No
3 No Single 70K No
4 Yes Married 120K No
5 No Divorced 95K Yes
6 No Married 60K No
7 Yes Divorced 220K No
8 No Single 85K Yes
9 No Married 75K No
10 No Single 90K Yes
12 Yes Divorced 220K No
10
Milk
Data
Data Mining TasksData Mining Tasks
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Major Data Mining Tasks
 Classification: predicting an item class
 Clustering: finding clusters in data
 Associations: e.g. A & B & C occur frequently
 Visualization: to facilitate human discovery
 Summarization: describing a group
 Deviation Detection: finding changes
 Estimation: predicting a continuous value
 Link Analysis: finding relationships
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PRS – Data Warehouse
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The Internet of
Things connects all
manner of end-points
Networks and
device proliferation
enable access to a
massive and
growing amount of
siloed information
Analytics and BI tools
empower decision makers
by extracting and
presenting meaningful
information in real-time,
helping us be more
predictive than reactive
Building a Connected and Smart Ecosystem
IoT Big Data Analytics

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 Blockchain
 A blockchain, originally block chain, is a growing list
of records, called blocks, which are linked
using cryptography. Each block contains a cryptographic
hash of the previous block, a timestamp, and transaction
data.
 a practical solution to the problem of storing,
authenticating and protecting data
 Usecases - Financial services, Healthcare, Insurance,
KYC

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 Virtual Reality, Augmented Reality - mixed reality
 Virtual reality (VR) is an interactive computer-
generated experience taking place within a simulated
environment. It incorporates mainly auditory and visual
feedback.
 VR provides a computer-generated 3D environment that
surrounds a user and responds to an individual’s actions
in a natural way.

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 Virtual Reality, Augmented Reality - mixed reality
 Augmented Reality is the real-time use of information in
the form of text, graphics, video and other virtual
enhancements integrated with real-world objects.
 Gesture recognition or handheld controllers provide hand
and body tracking, and touch-sensitive feedback may be
incorporated
 AR displays can be rendered on devices resembling
eyeglasses.

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 Usecases - Virtual Reality, Augmented Reality - mixed reality
 By 2010, virtual dressing rooms had been developed for e-
commerce
 In 2014, L'Oreal brought the AR experience to a personal level
with their "Makeup Genius" app. It allowed users to try out
make-up and beauty styles via a mobile device
 In 2017, Ikea announced Ikea Place app. The app contains a
catalogue of over 2,000 products—nearly the company’s full
collection of umlauted sofas, armchairs, coffee tables, and
storage units which one can place anywhere in a room with their
phone.
 Construct3D allows students to learn mechanical engineering
concepts, math or geometry. Chemistry AR apps allow students
to visualize and interact with the spatial structure of a molecule
using a marker object held in the hand

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 Usecases - Virtual Reality, Augmented Reality - mixed
reality
 Augmented reality allowed video game players to experience
digital game play in a real world environment. Companies and
platforms like Niantic and Proxy42 emerged as major
augmented reality gaming creators. Niantic is notable for
releasing the record-breaking game Pokémon Go. Disney has
partnered with Lenovo to create the augmented reality
game Star Wars
 AR can aid in visualizing building projects. AR allows industrial
designers to experience a product's design and operation before
completion. Volkswagen has used AR for comparing calculated
and actual crash test imagery

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 Smart manufacturing – Industry 4.0
 Industry 4.0 is a name given to the current trend of
automation and data exchange in manufacturing
technologies. It includes cyber-physical systems, the Internet
of things, cloud computing and cognitive computing.
Industry 4.0 is commonly referred to as the fourth industrial
revolution
 In smart factories - cyber-physical systems monitor physical
processes, create a virtual copy of the physical world and
make decentralized decisions. Over the Internet of Things,
cyber-physical systems communicate and cooperate with
each other and with humans in real-time both internally and
across organizational services offered and used by
participants of the value chain.

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 Smart manufacturing – Industry 4.0

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 Smart manufacturing – Industry 4.0 – design principles
 Interconnection: The ability of machines, devices, sensors, and
people to connect and communicate with each other via the
Internet of Things (IoT) or the Internet of People (IoP)
 Information transparency: The transparency provides operators
with vast amounts of useful information needed to make
appropriate decisions. Interconnectivity allows operators to collect
immense amounts of data and information from all points in the
manufacturing process, thus aiding functionality and identifying
key areas that can benefit from innovation and improvement
 Technical assistance: The ability of assistance systems to support
humans by aggregating and visualizing information
comprehensively for making informed decisions and solving urgent
problems on short notice
 Decentralized decisions: The ability of cyber physical systems to
make decisions on their own and to perform their tasks as
autonomously as possible.

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 3D printing
 Industrial 3D printing — for prototypes and parts that
are created on the fly — are on the rise now.
 With 3D printing complex shapes can be created, than
in traditional manufacturing
 The object is created by laying down, or adding, layers of
material

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 Autonomous vehicles
 Vehicular automation involves the use
of mechatronics, artificial intelligence, and multi-agent
system to assist a vehicle's operator. These features and
the vehicles employing them may be labeled as
intelligent or smart.
 A vehicle using automation for difficult tasks, especially
navigation, may be referred to as semi-autonomous. A
vehicle relying solely on automation is consequently
referred to as robotic or autonomous.

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 Autonomy in vehicles is often categorized in six levels
 Level 0: No automation.
 Level 1: Driver assistance - The vehicle can control either
steering or speed autonomously in specific circumstances to
assist the driver.
 Level 2: Partial automation - The vehicle can control both
steering and speed autonomously in specific circumstances to
assist the driver.
 Level 3: Conditional automation - The vehicle can control
both steering and speed autonomously under normal
environmental conditions, but requires driver oversight.
 Level 4: High automation - The vehicle can complete a travel
autonomously under normal environmental conditions, not
requiring driver oversight.
 Level 5: Full autonomy - The vehicle can complete a travel
autonomously in any environmental conditions.

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 5G
 5G is the next-generation cellular standard after 4G (Long
Term Evolution [LTE]
 5G addresses three key technology communication aspects
 Enhanced mobile broadband (eMBB), which most providers will
probably implement first
 Ultrareliable and low-latency communications (URLLC), which
addresses many existing industrial, medical, drone and
transportation requirements where reliability and latency
requirements surpass bandwidth needs.
 Massive machine-type communications (mMTC), which addresses
the scale requirements of IoT edge computing.

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 MOOC / NPTEL
 A massive open online course (MOOC) is an online course aimed at
unlimited participation and open access via the web. Many MOOCs
provide interactive courses with user forums to support community interactions
among students, professors, and teaching assistants (TAs) as well as immediate
feedback to quick quizzes and assignments. MOOCs are a recent and widely
researched development in distance education.
 To improve the quality of higher education in India, government came up with
an initiative called NPTEL (National Programme on Technology Enhanced
Learning. As per this initiative, all the IITs, along with the IISc Bangalore would
upload series of video lecture based courses across all the streams of
engineering and the lectures are being used by several engineering students
from across India.
 Real-Time Foreign Language Translation
 Google’s Babel-Fish earbuds translate 40 foreign language conversations in real
time.
 The translation is processed on Google’s AI-focused data-centers, because it
takes a lot of processing power. Audio is converted to text, translated into
another language, and then turned back into speech and spoken to the listener.

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 Chatbots
 A chatbot (also known as a smartbots, talkbot, chatterbot,
Bot, IM bot, interactive agent) is a computer program or
an artificial intelligence which conducts a conversation via
auditory or textual methods. Such programs are often
designed to convincingly simulate how a human would
behave as a conversational partner
 In 2018, chatbots will rapidly become more sophisticated,
dramatically reducing costs of routine customer care
activities, and improving the customer experience.
 In the coming year, chatbots will quickly understand the tone,
content and predicted highest-value conversational paths to
meet various objectives
 Chatbot frameworks, such as Amazon Lex, Dialogflow from
Google, IBM Watson Assistant and Microsoft Bot Framework

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 Voice control and virtual assistants
 Amazon Alexa, Apple’s Siri, Google Assistant and
Microsoft’s Cortana
 Virtual customer assistants (VCAs), such as IPsoft’s
Amelia, Watson Virtual Agent, and VCAs from Artificial
Solutions, Interactions, Next IT and Nuance

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 Artificial intelligence for services
 As more guests demand an always-on and personalized
concierge service, hotels are activating chatbots to create
[concierges] that can help with any request in a timely
manner
 By remembering and processing tons of information that
ranges from the nearest restaurant recommendations to
tomorrow’s weather, AI can help developers create bots that
cater to each guest’s preferences
 Hotels like Marriott International and Cosmopolitan Las
Vegas have already begun implementing bot concierge
services
 AI is even helping to predict customer behavior, providing
advice to customer service reps on how best to solve a
particular issue

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Building a Deep Neural Network for FIFA 2018
(AI Bots to help evaluate live player performance)
33

12/24/2018
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~1 billion cameras
worldwide by 2020
 30 billion
inferences/sec
Tesla P40: 2,500
inferences/sec @ 720P
 AI City needs ~10M P40
servers
AI ENABLED real time surveillance
1B cameras by 2020
34

12/24/2018
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Bohitesh
Misra
Real time Surveillance - AI delivers scale & accuracy
2.Warning/Comparison
Zone：real-time display
of the current pictured
people v.s surveillance
people status.
1.Real-time Surveillance Zone：real-time display of the
monitoring screen.
3.Pictured Display Zoon：
real-time display the
pictured photos.
4.Menu Zone：
Capability to
complete
real-time
surveillance,
picture/inquir
y, police
notification/i
nquiry and
database
management.
35

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Detection, Tracking & Classification
Scene
Parsing
Crowd
Density
Analysis
Crowd
Tracking
Search by
Face
Face
Recognitio
n
License
Recognitio
n
Pedestrian
Detection
People
Counting
Face
Alignment
Face
Detection
Vehicle
Model
Recognitio
n
Vehicle
Detection
36

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 Text mining
 Example – “Havells Adonia” in @HavellsIndia
Text Mining - Twitter Sentiment Analysis
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Twitter Text mining - Wordcloud
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AI could threaten our world
 Areas where AI is most likely to be exploited
 Physical
• Remote-controlled car crashes - The biggest concern involves AI
being used to carry out physical attacks on humans, such as hacking
into self-driving cars to cause major collisions.
• Digital
• Sophisticated phishing - In the future, attempts to access sensitive
and personal information from an individual could be carried out by
AI almost entirely. “These attacks may use AI systems to complete
certain tasks more successfully than any human could,”
• Political
• Manipulating public opinion - Fake news and fake videos
generated by bots and AI could have a big impact on public opinion,
disrupting all layers of society, from politics to media. The use of
social media bots spreading fake news was already a reality during
the 2016 US presidential campaign.

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Digital disruption – Are you untouched with any of these dimensions?

12/24/2018
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 Libraries will disappear in its traditional form, collections,
purchases, loans will be irrelevant in a digital world
 All work to handle cash will disappear
 Newspapers will have competition when these are
produced digitally
 Shops will feel the competition from online
Digital Disruption

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Think of three disruptive technologies that can
change the lives of rural India and how ?
Frugal Innovations

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Emerging technologies will change everything – how
we work, how we live, how we communicate
Conclusions
• A seismic shift in technology is occurring
• To survive organisations will have to adapt their technology and business
related capabilities in an equally seismic way

12/24/2018
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BOHITESH MISRA, PMP
EX-VICE PRESIDENT – IT
SIMPA NETWORK S
BOHITESH.MISRA@GM AIL .COM
#EMINENT CIOS OF INDIA 2018
#CIO200

Disruptive technologies - Session 1 - introduction

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Disruptive technologies - Session 1 - introduction