Borys Pratsiuk: How ML technology helps solving specific business problems AI & BigData Online Day 2021 Website - http://aiconf.com.ua Youtube - https://www.youtube.com/startuplviv FB - https://www.facebook.com/aiconf

1. How ML technology helps
solving specific business
problems
Borys Pratsiuk
CTO, Pawa

2. Who am I?
C, embedded
2004
2006
2013
2012
Ph.D
2019
2009
2007
b_pratsiuk
bp@pawa.ai
Borys Pratsiuk,
Ph.D.
2019 - 2021
CTO
2021 …
CTO

3. What is AI?
ML basics
Case studies
Q&A
Agenda

4. IT evolution
Scientists
Brilliant people
60-th 80-th 2000
Systems
(IBM, Microsoft,
etc)
Application
(Web, Mobile, etc)
Systems
2010
Eco-System
- Outsourcing
-Freelance
PM / BA / QA / …
Application
now
Systems
Data Science
Brilliant people

5. Machine learning
Reinforcement learning
Unsupervised learning Supervised learning
Classification
Regression
Types of machine learning

6. Linear regression

7. Case: Predict house prices
Predict your house by similar houses Use a linear regression model

8. Model

9. Cost function

10. Unsupervised learning
Unsupervised machine learning
is the machine learning task of
inferring a function to describe hidden
structure from "unlabeled" data.
Clusterization! No apriori information
about which classes there are in the
data and how many classes.
AI cases

11. What is scientific research?
Scientific research is a fundamental background to test
any revolutionary business ideas
Zhang, W., Yu, Q., Siddiquie, B., Divakaran, A., & Sawhney,
H. (2015). "Snap-n-Eat": food recognition and nutrition
estimation on a smartphone. Journal of Diabetes Science and
Technology, 9(3), 525-533. doi: 10.1177/1932296815582222
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3224860/

14. Parasite detection
CHALLENGE:
There are around 4500 salmon farms in Norway. Every week each
farm should submit ecology report to the government, otherwise
should pay high penalty. Sometimes it’s not possible due to weather
and limited access of biologist to the cages.
SOLUTION:
• Underwater capsula with 2 cameras for 24/7 monitoring and for
6k resolution images.
• Image processing algorithm for fish detection and parasites
detection on early stages.
• Infrastructure for centralized processing and analytics.
BUSINESS VALUE:
• 10% cost reduction for report generation due to data collection
optimization.
• up to 25% reduction of pesticide use
due to parasite detection on early stages.

15. Багато апельсин
Порахуте апельсини
98

16. AI for fruits detection
CHALLENGE:
Client needed to quantify the volume of ripe fruits in the
garden using the automatic collection of images. They
required the scalable solution showing the applicability of DL-
inspired approach.
Accurately locate the fruits in the images with different scales,
perspectives, angles etc. and provide robust scalable
solution.
SOLUTION:
• Developed object detection algorithm based on Faster R-
CNN architecture
• Built AI system that identifies fruit in an image in a nearly
human-level performance
BUSINESS VALUE:
• More accurate counting 83% versus 75% (human
performance)
• AI framework able to automate counting
on 1.6 million of acres orange fields.

17. AI for car claim cost evaluation
CHALLENGE:
The Client needed to automatically evaluate the car repair
costs using DL-inspired approach and eliminate manual
evaluation errors. Each claim contained images with
different types of damages, different perspectives, scale,
amount of dirt, sun glare etc.
SOLUTION:
Developed system classifies damaged parts of a сar,
segments the damages in the images and automatically
estimates a car claim cost.
BUSINESS VALUE:
Reduce up to 30% costs associated with needs to send
commissary to the car accident with not significant
damages

18. Large production deployment of AI & IoT Applications
CHALLENGE:
To increase efficiency, develop new services, and spread a
digital culture across the organization, Enel is executing an
enterprise-wide digitalization strategy. Central to achieving the
Fortune 100 company’s goals is the large-scale deployment of
the C3 AI Suite and applications. Enel operates the world’s
largest enterprise IoT system with 20 million smart meters
across Italy and Spain.
SOLUTION:
Analyzed 50Tb unified federated cloud image with 25+
connected data sources. Time line of development 5+
years
BUSINESS VALUE:
• 2X performance Increase in identifying Unbilled Energy
• 2.5B USD cumulative economic benefit target from
digitalization by 2021

19. Retail automation

20. Conversations in Retail – Smart assistant
CHALLENGE:
The Client ask for innovation project to find a way how to
leverage from conversation commerce in retail.
SOLUTION:
Smart IoT shell with directed microphone and direct
speaker covered a selected zone. Designed smart
assistant that convert speech to text and advice customer
in his need. Additional camera help to identify products and
find similar in a database.
BUSINESS VALUE:
• Increase client satisfaction in pilot shop on 7%
• Enable buying experience for people with disabilities.
Blind people could be guided buy sound and their
movements controlled with a camera.
• First step in Amazon competition strategy.

21. Drones inspection of harbors
https://news.develop
er.nvidia.com/ai-
drones-help-inspect-
industrial-equipment/

22. Thanks for watching