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Artificial Intelligence
on Digital Industry
THEREAREONLY300.000
AIENGINEERSWORLDWIDE.
but the market demands is for 1 million
(Tencent, 2017)
2
AIDEVELOPERHASBECOMETHETOPEMERGINGJOBINTHEUS
On 2018, machine learning was ten times the number of individuals listing it as their profession compared with
2013
3
NUMBEROF
AITALENT
W
ORLDWIDE
Country Numbers
USA 9.010
UK 1.861
Canada 1.154
France 797
Spain 606
China 413
Singapore 291
South Korea 147
Based on Linkedin, 2018
4
Perkembangan Big Data - AI di Indonesia
Source: CIPG2018 5
Pendorong Penghambat Level Hal yang mempengaruhi Inovasi
Pengaruh eksternal yang bersifat masif dan
mengglobal, seperti pelemahan makro
ekonomi, fluktuasi harga minyak dunia, dan
gejolak budaya.
Tata perilaku umum untuk melakukan fungsi
sosial tertentu, seperti regulasi, kebiasaan
masyarakat, dan kompetensi masyarakat.
Ruang untuk inovasi tumbuh.
OPPORTUNITIES& CHALLENGESIN INDONESIA
6
Factor Opportunities Challenges
Technology ❑ Investment onAI
❑ AI-based startup become
more common
❑ Lack of qualified workers
❑ The cost is high
User AI could help in decision making Privacy & security
Data Increasement in data volume that
created from differentsector
❑ Lack of data management
❑ Lack of comprehensive cloud-
based services
Infrastructure Increasement in internet penetration Yes the internet has been penetrating a
lot more, but not equal in every places
ArtificialIntelligence
Application
on Use Case in Industry
Possibility
OpticalCharacter Recognition
8
Document
Digitization
The system will be able to
convert physical document
into digitized file. It will help
client on many things.
OCR UseCase
Banking
9
Healthcare
Legal
Insurance
Digitize all of their printed
documents such as affidavits,
judgments, filings, statements,
wills via OCR
Claims processing can be
automated by OCR and supporting
technologies
Digitize all of their printed documents
such as affidavits, judgments, filings,
statements, wills viaOCR.
Scan reports that contain X-rays,
previous diseases, treatments or
diagnostics, tests, hospital records,
insurance payments.
Plate NumberRecognition
Recognizing number and letter on
license plates from vehicles for
automated system.
OCR UseCase
OCR-Based registration
User just need to show the id card
to complete onlineregistration.
10
OCR DigitalizesTheTextIn a Receipt
OCR UseCase
11
SpeechtoText
12
Many StartUp use AI to analyze
the data they got from voice
transcription.
Insight from customer extracted lot
of better and deeper with the
helps from AI.
- Video Indexing based on
Content
- Brand Analytic
- Sentiment Analytic
- Topic Highlight
VideoTranscript
Video Pool
Audio Extraction
Text Transcript
Time Stamp
13
ObjectDetection
14
What isObject Detection?
Object detection is a computer vision technique that
works to identify and locate objects within an image or
video.
Object DetectionPlatform
Image
Recognition
ObjectDetection
VS
15
TheAbilityof Object Detection
Real-time Detection
Detect objects and make inferences within
microseconds.
Locate objects within an image or
video
Not only identify the object, but also can specify locate
the object. This allows us to count and track those
objects.
Object DetectionPlatform
16
Object orCrowd Count
Counting the number of objects is helpful in
a variety of ways, including analyzing the
performance of a store, estimating the number
of people in a crowd (during this pandemic
situation), count the number of car while
traffic jam
Anomaly Detection InAgriculture
A custom object detection model could accurately identify
and locate potential instances of plant disease, allowing
farmers to detect threats to their crop yields that would
otherwise not be discernible to the naked human eye.
Integrated with face mask recognition
Object Detection UseCase
17
AnotherUseCase
18
The Shelf DetectorSystemFor Retail
Stores Using ObjectDetection
Automatic StockReplenishment
Real-time shelf monitoring, the store can be used
as a warehouse for online orders.
Inventory distortion
costs globallynearly
$1.1 Trillion. On
average, each store
could increase salesby
7.5 percent, if it could
completely fix this
problem.
19
Automating defect
detection with AI
in manufacturing
company
Quality inspection
in manufacturing
Object detection can detect
any defect on production
line.
20
21
Automated Storage In Warehouse;
Combining OCR and Object Detection
Detect the objects in the
image andcount
them
Read the barcode and letters on
the warehouse shelf, which
contains information about the
quantity of boxes located on it
Verify if the number
of boxes in the
image matches the
number stored in
the database
Automated Guided Vehicle In Industry
Vision guided systems
utilize computer vision to
interpret the surroundings of
the AGV
22
NOMORE
REPETITIVETASKS
involving the movement
of the product
INCREASEWORKER
SAFETY
prevent human error
while moving the heavy
objects
Automated Guided
Vehicle
Thankyou
23

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AI-on-Digital-Industri.pptx

  • 2. THEREAREONLY300.000 AIENGINEERSWORLDWIDE. but the market demands is for 1 million (Tencent, 2017) 2
  • 3. AIDEVELOPERHASBECOMETHETOPEMERGINGJOBINTHEUS On 2018, machine learning was ten times the number of individuals listing it as their profession compared with 2013 3
  • 4. NUMBEROF AITALENT W ORLDWIDE Country Numbers USA 9.010 UK 1.861 Canada 1.154 France 797 Spain 606 China 413 Singapore 291 South Korea 147 Based on Linkedin, 2018 4
  • 5. Perkembangan Big Data - AI di Indonesia Source: CIPG2018 5 Pendorong Penghambat Level Hal yang mempengaruhi Inovasi Pengaruh eksternal yang bersifat masif dan mengglobal, seperti pelemahan makro ekonomi, fluktuasi harga minyak dunia, dan gejolak budaya. Tata perilaku umum untuk melakukan fungsi sosial tertentu, seperti regulasi, kebiasaan masyarakat, dan kompetensi masyarakat. Ruang untuk inovasi tumbuh.
  • 6. OPPORTUNITIES& CHALLENGESIN INDONESIA 6 Factor Opportunities Challenges Technology ❑ Investment onAI ❑ AI-based startup become more common ❑ Lack of qualified workers ❑ The cost is high User AI could help in decision making Privacy & security Data Increasement in data volume that created from differentsector ❑ Lack of data management ❑ Lack of comprehensive cloud- based services Infrastructure Increasement in internet penetration Yes the internet has been penetrating a lot more, but not equal in every places
  • 9. Document Digitization The system will be able to convert physical document into digitized file. It will help client on many things. OCR UseCase Banking 9 Healthcare Legal Insurance Digitize all of their printed documents such as affidavits, judgments, filings, statements, wills via OCR Claims processing can be automated by OCR and supporting technologies Digitize all of their printed documents such as affidavits, judgments, filings, statements, wills viaOCR. Scan reports that contain X-rays, previous diseases, treatments or diagnostics, tests, hospital records, insurance payments.
  • 10. Plate NumberRecognition Recognizing number and letter on license plates from vehicles for automated system. OCR UseCase OCR-Based registration User just need to show the id card to complete onlineregistration. 10
  • 11. OCR DigitalizesTheTextIn a Receipt OCR UseCase 11
  • 13. Many StartUp use AI to analyze the data they got from voice transcription. Insight from customer extracted lot of better and deeper with the helps from AI. - Video Indexing based on Content - Brand Analytic - Sentiment Analytic - Topic Highlight VideoTranscript Video Pool Audio Extraction Text Transcript Time Stamp 13
  • 15. What isObject Detection? Object detection is a computer vision technique that works to identify and locate objects within an image or video. Object DetectionPlatform Image Recognition ObjectDetection VS 15
  • 16. TheAbilityof Object Detection Real-time Detection Detect objects and make inferences within microseconds. Locate objects within an image or video Not only identify the object, but also can specify locate the object. This allows us to count and track those objects. Object DetectionPlatform 16
  • 17. Object orCrowd Count Counting the number of objects is helpful in a variety of ways, including analyzing the performance of a store, estimating the number of people in a crowd (during this pandemic situation), count the number of car while traffic jam Anomaly Detection InAgriculture A custom object detection model could accurately identify and locate potential instances of plant disease, allowing farmers to detect threats to their crop yields that would otherwise not be discernible to the naked human eye. Integrated with face mask recognition Object Detection UseCase 17
  • 19. The Shelf DetectorSystemFor Retail Stores Using ObjectDetection Automatic StockReplenishment Real-time shelf monitoring, the store can be used as a warehouse for online orders. Inventory distortion costs globallynearly $1.1 Trillion. On average, each store could increase salesby 7.5 percent, if it could completely fix this problem. 19
  • 20. Automating defect detection with AI in manufacturing company Quality inspection in manufacturing Object detection can detect any defect on production line. 20
  • 21. 21 Automated Storage In Warehouse; Combining OCR and Object Detection Detect the objects in the image andcount them Read the barcode and letters on the warehouse shelf, which contains information about the quantity of boxes located on it Verify if the number of boxes in the image matches the number stored in the database
  • 22. Automated Guided Vehicle In Industry Vision guided systems utilize computer vision to interpret the surroundings of the AGV 22 NOMORE REPETITIVETASKS involving the movement of the product INCREASEWORKER SAFETY prevent human error while moving the heavy objects Automated Guided Vehicle