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Tech Series on
Machine Intelligence
Emerging Trends,
Technologies
and
Business LandscapeBijilash Babu
02 November 2016
10:00 AM to 01:00 PM
NASSCOM 10000 Start-up Warehouse
Infopark, Kochi
Future!
IT’S HARD TO think of a single technology that will shape
our world more in the next 50 years than artificial intelligence.
Joi Ito, Scott Dadich, and President Barack Obama photographed in
the Roosevelt Room of the White House on August 24, 2016
2
Machine Intelligence
Enabling machines to use of available and
relevant data to generate insights using
algorithms and then take appropriate
decisions and actions as required by the
situation…
❖ Robots - for decades - automation
❖ Extensively availability of digital data
❖ Better computing devices
❖ Sophisticated Algorithms
❖ Confidence
3
Organigram
4
MI
AI - a 60 year old graduate student?
5
1950 1960
DoD
1990
Deep
Thought
Japanese
2000
CSAIL
Dartmouth
2010
…
Primary School High School Graduating
What’s driving AI ?
❖ Research has been going on for 60+ years
❖ AI is now at an inflection point:
1. Faster, more powerful computers;
2. Critical computer science advances,
mainly statistical machine learning and
deep learning techniques;
3. Massive information available due to
sensors and the Internet of Things.
6
Gartner Hype Cycle 2016
7
8
What’s driving the AI boom?
9
Digital
❖ Digitising everything…
❖ Social applications
❖ Unstructured - Text, Image, Video, Voice,..
❖ Industrial Data - Automation
❖ GE - redefining their business model
❖ Predix
❖ Data driven
❖ Shift is epicentre
10
Data and Analytics
11
❖ Social applications
❖ Unstructured - Text, Image, Video, Voice,..
❖ Industrial Data - Automation
❖ GE - redefining their business model
❖ Intelligent agents
❖ Data driven
❖ Shift is epicenter
Intelligent Systems
12
Otto
13
Governance
14
…and many more…
15
Automation
16
❖ RPA
❖ Repeatable
❖ Rule based
❖ White collar
❖ Impact -
❖ Frameworks
❖ Future
Source: KPMG
Business Process Automation
❖ Business functions
❖ Data in - Insights - Actions
❖ Involves medium to high complexity
❖ Might involve high IQ tasks
❖ End-to-end
❖ Standard Process
❖ Compliance
❖ Risk Management
17
18
How does the brain work?
19
Neuron networks
❖ The human brain is a complex network
❖ Network theory is applicable to simulate brain
❖ Small world network
❖ Parts of the brain have differ
❖ May reorganise based on usage
❖ Relatively small size and f …but highly efficient
❖ Matter and process
20
Deep
Learning
21
What is
Deep Learning
Rather than using the old method of hand-coded
algorithms, we can now use systems that program
themselves by learning from examples of how a system
ought to behave in response to an input.
22
Courtesy: Andrew Ng
Deep Learning allows computational models that are
composed of multiple processing layers to learn
representations of data with multiple levels abstraction.
DL is now the best approach to most perception tasks, say
vision, speech; Imitates the way human brain works.
A representation learning method
DL till now…
23
Courtesy: Fortune
Why is DL hot now?
❖ Sees lots of picture elements, or pixels
❖ How much light has hit a particular sensor
❖ Algo’s that can interpret such numbers
❖ If we have 3d Point cloud data…
❖ Computer vision has advanced in this
❖ Intrinsic structure in large data sets using the
back-propagation algorithm
❖ Changing internal parameters at each layer
24
Why, then, one might ask, are they nowhere to be seen,
beyond war zones, factories and technology fairs?
The DL Process
25
Motifs
Edges
Hybrid Approach
Like a human, our agents learn for themselves to achieve successful strategies that lead to the greatest long-term rewards.
This paradigm of learning by trial-and-error, solely from rewards or punishments, is known as reinforcement learning (RL)
Deep Q-Networks (DQN) algorithm stores all of the agent's experiences
DNC
26
Frameworks and Partnership
27
❖ Apache Singa - C++ , NUS
❖ Brainstorm - Python - Swiss
❖ Deeplearning4j - Java
❖ DSSTNE - C++ - Amazon
❖ H20 - 0xdata - Java
28
29
Hardware
Naveen Rao
30
31
What’s happening right now
❖ Data is the new oil
❖ Data driven products and services
❖ Generated value
❖ Untapped
❖ Embedding AI
❖ Novel Solutions - Home, work, elsewhere..
❖ Jio
32
Trends 2017
33
34
Distant Future of Work
❖ Business functions
❖ Data in - Insights - Actions
❖ Involves medium to high complexity
❖ Might involve high IQ tasks
❖ End-to-end
❖ Standard Process
❖ Compliance
❖ Risk Management
35
Strategy Machines
❖ What sort of jobs gets displaced
❖ IT and Automation - Value chain
❖ More job
❖ McK - Interview - Consultants
❖ Augmenting
❖ Strategy consulting - Augmented - GBB
❖ What’s work in future
36
Uber - Urban Air Transportation
37
38
Powershift
39
Disruption
❖ Clustering by skill set
❖ Industrywise
❖ Demography
❖ Geographic
40
Skill set
41
42
Threats
43
44
45

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Emerging Trends in Machine Intelligence

  • 1. Tech Series on Machine Intelligence Emerging Trends, Technologies and Business LandscapeBijilash Babu 02 November 2016 10:00 AM to 01:00 PM NASSCOM 10000 Start-up Warehouse Infopark, Kochi
  • 2. Future! IT’S HARD TO think of a single technology that will shape our world more in the next 50 years than artificial intelligence. Joi Ito, Scott Dadich, and President Barack Obama photographed in the Roosevelt Room of the White House on August 24, 2016 2
  • 3. Machine Intelligence Enabling machines to use of available and relevant data to generate insights using algorithms and then take appropriate decisions and actions as required by the situation… ❖ Robots - for decades - automation ❖ Extensively availability of digital data ❖ Better computing devices ❖ Sophisticated Algorithms ❖ Confidence 3
  • 5. AI - a 60 year old graduate student? 5 1950 1960 DoD 1990 Deep Thought Japanese 2000 CSAIL Dartmouth 2010 … Primary School High School Graduating
  • 6. What’s driving AI ? ❖ Research has been going on for 60+ years ❖ AI is now at an inflection point: 1. Faster, more powerful computers; 2. Critical computer science advances, mainly statistical machine learning and deep learning techniques; 3. Massive information available due to sensors and the Internet of Things. 6
  • 8. 8
  • 9. What’s driving the AI boom? 9
  • 10. Digital ❖ Digitising everything… ❖ Social applications ❖ Unstructured - Text, Image, Video, Voice,.. ❖ Industrial Data - Automation ❖ GE - redefining their business model ❖ Predix ❖ Data driven ❖ Shift is epicentre 10
  • 11. Data and Analytics 11 ❖ Social applications ❖ Unstructured - Text, Image, Video, Voice,.. ❖ Industrial Data - Automation ❖ GE - redefining their business model ❖ Intelligent agents ❖ Data driven ❖ Shift is epicenter
  • 16. Automation 16 ❖ RPA ❖ Repeatable ❖ Rule based ❖ White collar ❖ Impact - ❖ Frameworks ❖ Future Source: KPMG
  • 17. Business Process Automation ❖ Business functions ❖ Data in - Insights - Actions ❖ Involves medium to high complexity ❖ Might involve high IQ tasks ❖ End-to-end ❖ Standard Process ❖ Compliance ❖ Risk Management 17
  • 18. 18
  • 19. How does the brain work? 19
  • 20. Neuron networks ❖ The human brain is a complex network ❖ Network theory is applicable to simulate brain ❖ Small world network ❖ Parts of the brain have differ ❖ May reorganise based on usage ❖ Relatively small size and f …but highly efficient ❖ Matter and process 20
  • 22. What is Deep Learning Rather than using the old method of hand-coded algorithms, we can now use systems that program themselves by learning from examples of how a system ought to behave in response to an input. 22 Courtesy: Andrew Ng Deep Learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels abstraction. DL is now the best approach to most perception tasks, say vision, speech; Imitates the way human brain works. A representation learning method
  • 24. Why is DL hot now? ❖ Sees lots of picture elements, or pixels ❖ How much light has hit a particular sensor ❖ Algo’s that can interpret such numbers ❖ If we have 3d Point cloud data… ❖ Computer vision has advanced in this ❖ Intrinsic structure in large data sets using the back-propagation algorithm ❖ Changing internal parameters at each layer 24 Why, then, one might ask, are they nowhere to be seen, beyond war zones, factories and technology fairs?
  • 26. Hybrid Approach Like a human, our agents learn for themselves to achieve successful strategies that lead to the greatest long-term rewards. This paradigm of learning by trial-and-error, solely from rewards or punishments, is known as reinforcement learning (RL) Deep Q-Networks (DQN) algorithm stores all of the agent's experiences DNC 26
  • 27. Frameworks and Partnership 27 ❖ Apache Singa - C++ , NUS ❖ Brainstorm - Python - Swiss ❖ Deeplearning4j - Java ❖ DSSTNE - C++ - Amazon ❖ H20 - 0xdata - Java
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  • 32. What’s happening right now ❖ Data is the new oil ❖ Data driven products and services ❖ Generated value ❖ Untapped ❖ Embedding AI ❖ Novel Solutions - Home, work, elsewhere.. ❖ Jio 32
  • 34. 34
  • 35. Distant Future of Work ❖ Business functions ❖ Data in - Insights - Actions ❖ Involves medium to high complexity ❖ Might involve high IQ tasks ❖ End-to-end ❖ Standard Process ❖ Compliance ❖ Risk Management 35
  • 36. Strategy Machines ❖ What sort of jobs gets displaced ❖ IT and Automation - Value chain ❖ More job ❖ McK - Interview - Consultants ❖ Augmenting ❖ Strategy consulting - Augmented - GBB ❖ What’s work in future 36
  • 37. Uber - Urban Air Transportation 37
  • 38. 38
  • 40. Disruption ❖ Clustering by skill set ❖ Industrywise ❖ Demography ❖ Geographic 40
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