Data analytics and artificial intelligence in digital era

1. DATA ANALYTICS AND ARTIFICIAL INTELLIGENCE IN
DIGITAL ERA
SOCIAL MEDIA AND E-COMMERCE IMPACT
SAURABH GUPTA, PhD
NIT Raipur
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2. • WHY
• Need of such a theme
• WHAT
• It means - Components of AI and DA in e-commerce and social media
• HOW
• More can be done
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3. TECHNO-MANAGERIAL MINDSET
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6. WHY
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Disney movies use ODE and PDE
https://www.youtube.com/watch?v=AIsReykd3lA
GENERAL PDE EXAMPLES

9. MATHEMATICAL OPTIMIZATION PROBLEM
- MARKET SKILL FIT
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10. - Grassroot
- Frugal
- Disruptive
- Radical
- Incremental
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11. 11
a can have more than 1 lakh management innovations/
5,00,000/5 = 1,00,000
• https://twitter.com/anilgb/status/1099378435728781312?s=08

12. INNOVATION
INVENTION X COMMERCIALIZATION
1 X 0 = 0
0 X 1 = 0
1 X 1=1
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13. • Why I became interested in AI and why you should ?
• You have to become an efficient problem solver, and
have to develop the mindset to identify right
problems and give right solutions which minimises
input resources and maximise KPIs
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15. ACCORDING TO GARTNER, DESPITE TALENT SHORTAGES,
THE PERCENTAGE OF ENTERPRISES EMPLOYING AI GREW
270 PERCENT OVER THE PAST FOUR YEARS
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16. WHAT
• More Innovations cane be done and further enterprises and jobs can be created
• Efficient use of human resource
• Will help to harness demographic dividend
• The working-age population will reach the highest proportion of approximately 65%
in 2036
• Can penetrate global markets more easily
• Will help us to grow despite limited natural resources - Land, Water, Oil
• Can make the quality of life better for people around us
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17. - SETH GODIN
Artificial intelligence does a job we weren't necessarily crazy about doing
anyway, it does it quietly, and well, and then we take it for granted”.
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18. • Artificial intelligence can be classified into three different
types of systems:
• analytical - Cognitive Intelligence
• human-inspired - Cognitive and Emotional
Intelligence
• humanised artificial intelligence - all types of
competencies (i.e., cognitive, emotional, and social
intelligence), is able to be self-conscious and is self-
aware in interactions. 18

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25. APPLICATIONS OF AI AND DATA
ANALYTICS
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26. AGENT
an intelligent agent (IA) refers to
an autonomous entity which acts,
directing its activity towards
achieving goals (i.e. it is an agent),
upon an environment using
observation through sensors and
consequent actuators (i.e. it is
intelligent).
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27. WORRY LINES: ARE
PHOTO APPS
LIKE FACEAPP A
PRIVACY THREAT?
- By engaging with the app, shutter-happy
users face the risk of forgoing
copyright to their faces
- By using the app, people were handing
them over the permission to use their
edited photos anywhere, including for
commercial purposes.
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28. TIK TOK
15-second video-based app
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29. IN FACT, A RECENT STUDY BY GARTNER SUGGESTS THAT AS MUCH AS 85% OF
CUSTOMER INTERACTIONS WILL BE MANAGED WITHOUT A HUMAN BY AS
SOON AS 2020.
CHATBOTS ARE ALSO EXPECTED TO BE THE NO. 1 CONSUMER APPLICATIONS
OF AI OVER THE NEXT FIVE YEARS, ACCORDING TO TECH EMERGENCE.
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30. • More than 11,000 bots came online soon after Facebook
released a bot-development platform for Messenger.
• Kik, WhatsApp, Slack, Snapchat, and Skype
• NLP technology allows your business to create custom bots
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31. AI AND DA IN E COMMERCE
• 1. Create customer-centric search
• consumers often abandon e-commerce experiences because the product results displayed are often irrelevant.
• Twiggle utilises natural language processing to narrow, contextualise and ultimately improve search results for online
shoppers.
• Clarifai - focus on visual elements of search : AI with vision
• They enable developers to build smarter apps that ‘see the world like you do’, empowering businesses to develop a
customer-centric experience through advanced image and video recognition.
• AI software automatically tags, organises and visually searches content by labelling features of the image or video.
• We can teach AI to understand any concept, whether it’s a logo, product, or aesthetic
• these new models can be used in conjunction with existing pre-built models (e.g. general, colour, food, wedding,
travel etc.) to browse or search media assets using keyword tags or visual similarity.
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32. • Pinterest’s recent update of
its Chrome extension
enables users to select an
item in any photograph
online, and then ask
Pinterest to surface similar
items using image
recognition software.
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33. • Shoppers are rapidly waving goodbye to impulse control
• AI is enabling shoppers to discover complementary products
whether it is size, colour, shape, fabric or even brand.
• The consumer no longer needs to be shopping to see
something they would like to purchase. For example, they
may take a liking to a friend’s new dress or a work colleagues
new pair of gym Nike’s.
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34. • 2. Retarget potential customers
• According to Conversica, at least 33% of marketing leads are not followed up
by the sales team.
• Furthermore, many businesses are overloaded with unmanageable customer
data that they do little or nothing with.
• This is an incredible goldmine of intelligence that could be used to enhance
the sales cycle.
• some businesses are now using facial recognition to capture customer dwell
times in the physical store.
• Then anticipate special offers on customer’s computer screens based on their
in-store dwell time.
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35. EMOTIONAL
ANALYSIS USING
CAMERAS
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36. • 3. Identify exceptional target prospects
• Lead Generation
• Predictive marketing
• Through Mintigo’s software, Getty images has successfully
generated significant new leads by capturing the data that
shows which businesses have websites featuring images from
Getty's competitors.
• gives the sales team a competitive advantage to win new
business.
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37. • 4. Create a more efficient sales process
• Integrating AI and Customer Relationship Management
• Many AI systems enable natural language learning and voice input such as
Siri or Alexa.
• By using IBM’s AI solution called Watson, North Face enable online shoppers
to discover their perfect jacket.
• They achieve this by asking the customer questions e.g. “where and when will
you be using your jacket?”
• IBM’s software then scans hundreds of products to find perfect matches based
on real-time customer input and its own research e.g. such as weather
conditions in the local area.
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38. • 5. Create a new level of personalisation across multiple devices
• new deep levels of personalisation have started to penetrate the fast-growing e-
commerce world
• Boomtrain - The AI Marketing Platform where you spend less time deploying
marketing campaigns and more time connecting with your audience. Helps you
understand and communicate with your customers on an individual level, at any
scale
• Whether it is a mobile application, the website, or an email campaign, the AI
engine is continuously monitoring all devices and channels to create a universal
customer view.
• The next time a customer is browsing iPhone cases on your website, they
may receive a push notification on their mobile, informing them about your
flash sale for iPhone cases.
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39. • 6. Provide a personal touch with chatbots
• commerce is now focused on building experiences for
the individual, and not the mass market.
• ‘conversational commerce’
• confluence of visual, vocal, written and predictive
capabilities.
• possible to integrate a chatbot system into a shopping
cart.
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40. • 7. Empower store workers
• replicate the helpful experience in-store (VIRTUAL
REALITY/ AUGMENTED REALITY)
• LOWE - The tall shopping assistant greets customers
at the door, guides them around the store, sources
relevant product information and even assists
employees with inventory management.
• AMAZON Store in San Francisco
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41. • 8. Implement virtual assistants
• The advances for virtual assistants are rooted in
natural language processing and the machine’s
ability to interpret what people are saying in words or
text.
• Booking cabs, order groceries etc.
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42. • 9. Integrate with everyday household items
• partnership between Amazon’s Alexa and LG’s Smart
InstaView refrigerators.
• You’ll never have to run to the shop for milk again.
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43. • 10. Improve recommendations for customers
• personalised shopping experience for the consumer.
• brands can more intelligently and efficiently scan
through petabytes of data to predict customer behaviour
• Starbucks recently launched ‘My Starbucks Barista’,
which utilises AI to enable customers to place orders
with voice command or messaging.
• Amazon, Netflix, eBay
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44. • 11. Introduce virtual personal shoppers (VR/ AR)
• AI is also enabling brands to create purposely-built
‘shoppers’ to assist their customers online.
• perks of offline experience to the online experience.
• Flipkart’s Ping, Macy’s on call - uses Watson’s Natural
Language API,
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45. • 12. Work with intelligent agents
• intelligent agent negotiation systems
• There are 3 main functions performed by the automated agent:
• matching buyers and sellers;
• facilitating transactions; and
• providing institutional infrastructure.
• The agents are completely automated and have full control over their actions.
• They have their own communication language and not only react to their environment,
but are also capable of using their initiative such as generating their own targets.
• It’s AI at its utmost brilliance, and finally they are useful for e-commerce.
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46. • 13. Build an ‘assortment intelligence’ tool
• Helps retailers to change their pricing strategies.
• a tool that facilitates an unprecedented level of 24/7
visibility and valuable insights into competitors’ product
assortments.
• The intelligent software puts retailers in a strong
position to make specific assortment and planning
decisions
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47. • 14. Bridge the gap between personalisation and
privacy
• Brands are actively striving to take transparency,
security and honesty to an entire new level.
• The AI enables retailers to provide outstanding
experiences throughout a user’s day even if they are
not physically browsing the e-commerce store.
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48. • 15. Generate sales through wearable technology
• wearables have the impressive ability to collect data
beyond just what e-commerce platforms do today.
• Some wearable technology can see what products you
view, define your taste, and can instantly recommend
personalised products.
• vital statistics, measurements and pupil dilation rate
helps in this
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49. • 16. Improve dialogue systems
• a customer may ask “how many USB ports are there
on this specific laptop?”. More complex questions
would include “does this camera work indoors?” or
“which TV out of these two has better image
quality?”.
• Speech to text and vice versa
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50. • 17. Tackle fake reviews
• fake reviews for their brand (Positive or Negative)
• 90 percent of respondents who recalled reading online
reviews claimed that positive online reviews influenced buying
decisions.
• “Astroturfing” - deceptive practice of presenting an orchestrated
marketing
• deceptive practice of presenting an orchestrated marketing
• preference to those reviews that are marked as helpful by
other users 50

51. • 18. Combat counterfeit products
• When the consumer buys a product that looks legitimate but performs
poorly, it can leave a sour taste and negatively impact the consumer’s
perception of the brand.
• The tech company draws on data from multiple online marketplaces and
analyses it to determine which products are in fact counterfeit.
• Identifying a potential counterfeit product
• posting rate of an account,
• what kind of items it sells and
• even potentially fake reviews on listed items
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52. • 19. Localise the customer experience
• Wayblazer - AI platform for the travel industry
• the business can successfully personalise local
recommendations for consumers
• https://www.youtube.com/watch?time_continue=5&v=p9rjGSy1KYk
• e.g. “where can I go rock climbing on my honeymoon?”.
• The AI systems can then provide personalised
recommendations for points of interest and local insights that
you never knew existed.
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53. • 20. Text Analysis
• Tracking Social media feed for targeting e-commerce
products by understanding the language of text.
• Sentiment Analysis, parsing the sentence to
understand human emotions
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54. Connecting AI and e commerce will ensure that
customers will no longer be offered products and
services that are inappropriate.
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55. AI AND DA IN SOCIAL MEDIA
• Human AI - Emotion Analysis using face recognition
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56. • Speech (Alexa, Siri) for posting on feeds, tweets etc.
• voice - new identity over internet after mail, phone
number
• Inferences from text, speech and images using NLP
Rumours, fake news, fake images, hate speeches,
detecting mass shooters, privacy concerns
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57. • Recently, researchers at the Max Planck Institute for
Informatics developed an AI framework known
as (FAIRY) Framework for Activity-Item Relationship
DiscoverY.
• This framework systematically discovers, ranks, and
explains relationships between users’ actions and
items in their social media feeds.
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58. PROBLEMS WITH
AI
White Male Dominant
Patents
Who owns the data
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59. TYPES OF AI
• Artificial General Intelligence
• Human Centred AI
• Explainable AI
• Ethical AI
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60. PEOPLE WHO USE AI AND DA WITH
THEIR SKILLSETS WILL BE MORE
EFFICIENT THEN PEOPLE WHO
DON'T
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61. FUTURE OF AI AND DA IN
E-COMMERCE AND SOCIAL MEDIA
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62. • Future of social networking
• More secure networks
• You will be paid for your data
• Addressing cyberbullying
• Digital Literacy
• Fake news/ Rumours control
• More Human/ Personal - Design Thinking Approach
• Voice Based, sharing personal chats anonymously, connecting to people having same emotions
• Nextdoor - only for neighbourhoods,
• AI to sort messages, tweets better so that important ones should not be missed
• Blockchain based Social Networks
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63. HOW
By Developing
- Entrepreneurial Mindset
- Innovator Mindset
- Growth Mindset
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Bringing Innovations together - Connecting the DOTS

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67. MOST IMPORTANT ALGORITHMS
• Linear Regression
• Logistic Regression
• Classification and Regression Trees
• K- nearest neighbours
• K-means clustering
• Deep Reinforcement Learning Algorithms - Generative Adversarial Network (GAN)
• Fake Images in Stanford University
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68. SCIENCE FICTION
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69. • SELF DISCOVERY
• Finding your flow
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72. DESIGN THINKING
- FOR ALL
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73. – Ken Robinson
“Creativity is as important as literacy in education”
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74. Principles of Effectuation
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76. IDENTIFYING A RIGHT PROBLEM
• Go out, look around young identify a problem that you can spot. Explain the context also.
• What opportunities you can perceive from the above problem ?
• Who is the person having that pain point ?
• What according to these people are the main pain points ?
• What is the job to be done ?
• Keep my teeth healthy instead of Brushing teeth in the morning
• Preserving memories instead of clicking pictures
• What job is currently getting done ?
• How is the these people doing this job today ?
• Does this seems to be problem “WORTH SOLVING”
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77. HAVELL’S
ADVERTISEMENT
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78. • Interdisciplinary Education
• Subjects like
• behavioural economics and decision theory
• Experiential Learning
• Makerspace Culture
• Makers Mindset/ Entrepreneurial Mindset
• Self Reflection
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79. • Describe the problem worth solving that you have identified
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80. SOLVING - MOONSHOT
CHALLENGES
ADDRESSING - UNMET NEEDS
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A project or proposal that:
1.Addresses a huge problem
2.Proposes a radical solution
3.Uses breakthrough
technology
Google Glass
Project Loon
Driverless Car

81. IDEATHONS
HACKATHONS
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82. MYTHS ABOUT
INNOVATORS/ ENTREPRENEURS
• High Achievers
• Individuals
• Born and are not “made”
• Love Risks
• Charismatic
• Undisciplined
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83. SKILL SET IN THE AGE OF AI
• Empathy
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84. “Innovative (Invention X Commercialisation) Projects is the way to
go for people in technomanagerial roles”
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THANKS

85. AICTE MODEL CURRICULUM
• Courses in Emerging areas
• AI
• IoT
• Blockchain
• Robotics
• Quantum Computing
• Data Sciences
• Cybersecurity
• 3D Printing and Design
• AR/ VR
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86. RECENT INNOVATIONS FROM
INDIA TO THE WORLD
• Billion biometrics, bank accounts, mobiles
• Data consumption is cheaper and more than US+China
• BHIM app could make Credit Card redundant
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87. • Frugal Innovations
• GE ECG machine
• 35000 USD in US, 3500 USD in India
• 1 USD cost for ECG in comparison to 35 USD in US
• High quality artificial foot prices at 10,000 USD is 300 times cheaper
• High quality cataract eye surgery at 3,000 USD id 100 times cheaper
• Indian Innovations are for 18% of world population
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88. • According to Bruce Sterling “the most significant
innovation in computer technology in 2001 was not
Apple’s gleaming titanium Powerbook G4 or Microsoft
Windows XP rather it was a Simputer - a network linked,
radically simple portable computer intended to bring
computer revolution to third world”
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89. WHEN AND WHERE
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NOW AND HERE

90. WIKIPEDIA GAME
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91. • Techpedia (from SRISTI
Foundation) is one platform
that can be explored
• Shodhyatra
• Visit to extreme places to
identify Innovators
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92. • Polevaulting is required
• No legacy of technology
• Sunrise Industries
• new and growing industries
• Electric vehicles, battery storage, renewable energy
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93. PASSION TO IDEA/ INNOVATION
• Knowledge
• Capability
• Connections
• Financial Assets
• Name Recognition
• Past Working Experience
• Passion
• Commitment
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94. • We can solve the problems like the following
• 1 nurse/ 1000-2000 people in India
• 0.7 hospital beds/ 1000 people
• Doctor to Patient ratio is 79.7/ lakh
• Recent viral video of reporter in hospital ward
• 22 times more engineers then doctors in India
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95. • India’s most intractable problems
• Universal drinking water
• Better batteries that can work with other forms of renewable
energy
• Affordable housing
• Medical diagnostics
• Infrastructure
• Waste Management
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96. • Solutions do not exist in silos
• Executable ideas require the support of four levers
• Technology
• Policy
• Social Engagement
• Economics
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