1.
How AI and Machine Learning can
Transform Organizations

2.
Technology enthusiast with 13+ years of experience
working in the information technology and services
industry. Leads cutting-edge solutions for businesses using
Machine Learning and Artificial Intelligence.
Areas of expertise includes Architecture design,
Solutioning, Data Engineering and Deep Learning.Mohit Juneja
Solutions Architect
The Speaker

3.
Extensive experience building future tech products
using Machine Learning and Artificial Intelligence.
Areas of expertise includes Deep Learning, Data
Analysis, full stack development and building world
class products in ecommerce, travel and healthcare
sector.
Shruti Tanwar
Lead - Data Science
The Speaker

4.
Bikash Sharma
CTO and Co-founder at
Skyl.ai
CTO & Software Architect with 15 years of experience
working at the forefront of cutting-edge technology
leading innovative projects.
Areas of expertise include Architecture design, rapid
product development, Deep Learning and Data
Analysis.
The Panelist

5.
Getting familiar with ‘Zoom’
All dial-in participants will be muted to enable the
presenters to speak without interruption
Questions can be submitted via Zoom Questions chat
window and will be addressed at the end during Q&A
The recording will be emailed to you after the webinar
Please familiarize yourself with the Zoom ‘Control Panel’ on your screen

6.
How AI and ML have
transformed various
industries
What is Artificial
Intelligence and
Machine Learning
1 2
...In the next 45 minutes

7.
Machine Learning automation platform for unstructured data
A quick intro about Skyl.ai
Guided Machine Learning Workflow
Build & deploy ML models faster on
unstructured data
Collaborative Data Collection & Labeling
Easy-to-use & scalable AI SaaS platform

8.
POLL #1
At what stage of Machine learning adoption your organization
is at?
⊚ Exploring - Curious about it
⊚ Planning - Creating AI/ML strategy
⊚ Experimenting - Building proof of concepts
⊚ Scaling up - Some departments are using it
⊚ In production - Using it in product features
⊚ Transforming - AI/Ml driven business

9.
Artificial Intelligence
and Machine Learning01

10.
What is Artificial Intelligence?
Artificial intelligence (AI) refers to the simulation of human intelligence in
machines that are programmed to think like humans and mimic their
actions.
Source: Investopedia
Artificial General Intelligence
(AGI)
A machine capable of understanding
the world as well as any human, and
with the same capacity to learn how
to carry out a huge range of tasks.
Narrow AI
Effective at performing specific tasks.
The most common form of AI, and is
seen through many tasks in daily life.

11.
What is Machine Learning?
Machine learning is a field of computer science that uses statistical
techniques to give computer systems the ability to "learn" (i.e.,
progressively improve performance on a specific task) with data,
without being explicitly programmed

12.
Machine Learning = Disruptive Technology
Machine learning changes the way we think about a problem and
fundamentally changes the way we solve it.
Adoption of AI/ML allows us to:
⊚ Reduce the time of programming
⊚ Scale your product
⊚ Solve problems which are unprogrammable

13.
Google shrinks language translation code from
500,000 to 500 lines with AI
Traditional software
Approach
written using logic
and assertion like if-
else
solves problems with
experiments, learning through
examples
Machine Learning
Approach

14.
Why should you adopt Machine Learning & why
now is the right time?
Digitization Technology &
Computational
Power
Need for
businesses
to scale

15.
What kind of business problems can be solved?
Improving
efficiency and
effectiveness
Problems with ever-
changing complex rules:
Dynamic Pricing, Estimated
time of arrival
Problems that can’t be
solved with rules:
unstructured data -
text, audio, video,
images
Scaling:
Personalization,
Recommendation
s
Repetitive
nature
of work: RPA,
Chatbots

16.
How AI and ML have
transformed various
industries
02

17.
E- commerce

18.
Product Recommendation
‘Similar product’ or ‘Top picks for
you’ recommendations based on
individual buyer history
Related products aligned with
shopper’s affinity to upsell/cross sell

19.
Product Categorization
Automated identification of products for inventory addition.

20.
Product Review Moderation
Generating a
summary of reviews
and ratings

21.
Personalized Discovery
Better than text search:
‘I am looking for this shirt’
‘What is the price of this table’
Enabling quick discovery of products
Shopping for your favorite celebrity look
becomes much easier

22.
Banking & Insurance

23.
Contract Analysis
⊚ Identify and extract
relevant information like
aggressive clauses, legal
anomalies, future financial
obligations, renewal or
expiration dates and even
summarise contract data
down to concise points.
Contract Title
Start Date
Contracting
Parties

24.
Regulatory Compliance Monitoring
⊚ Use Natural Language
Processing (NLP) to quickly scan
legal and regulatory text for
compliance issues and do so at
scale.

25.
Insurance Claims
Property Risk AssessmentDamage Assessment

26.
Healthcare

27.
Medical Imaging & Detection
⊚ Image classification aids
radiologists to detect pneumonia
using an X-ray image of lungs,
identify early development of
tumors in the lungs, breasts, brain
and other areas, for skin cancer
detection, diagnose tuberculosis,
heart disease and alzheimer’s
disease.

28.
Electronic Records Analysis
⊚ A large part of medical notes
made on EMR systems are free-
text notes by physicians. These
can be tedious to analyze
manually to gain insight into
patients various medical
conditions and risk factors.

29.
Manufacturing

30.
Product Quality Inspection
Defective Labeling Identification -
Identify misbranding, incorrect
positioning and damaged labels to
ensure the product conformity
Inspect Automobile parts -
detection of missing nuts and bolts
in the automobile under
production

31.
⊚ Verify whether employees are
wearing appropriate safety gears
for a given job-site like safety
helmets, vests, glasses/goggles,
shoes or other protective gears,
accordingly generate alerts and
reports to enable safety gear
compliance.
Workplace Surveillance

32.
⊚ Extract information like
delivery address, vendor names,
product details, quantity and
pricing from these documents.
⊚ Using the extracted data, AI
can match PO’s with their
Invoices and ORN’s, maintaining
transaction consistency.
Procurement Matching (Invoices, order receipt notes,…)

33.
Real Estate

34.
Detect watermarks of competitors or third parties on real estate
listing images
Watermark Detection

35.
When it comes to the real estate market, property listing photos are
aplenty. Often, buyers are frustrated at the lack of good quality images
and can quickly be turned off by examining inferior ones.
Image Quality of Property Listings

36.
Skyl.ai - as ML automation platform
Efficient
Data Management
Solve your data issues; collect and manage data
efficiently
Accuracy
& Quality
Maintain accuracy and quality; train and test
faster; monitor quality
Effective
Collaboration
Collaborate and manage projects efficiently
Early
Visibility
Get early visibility; visualize and affirm correctness
on every step of the way
Scalable
High - Performance
Access on-demand and scalable, high-performance
infrastructure
Reduce
Cost
Reduce cost of implementation; do it with less
specialized resources

37.
Some Examples of AI Models in
Skyl.ai

38.
We can help you with...
⊚ AI Adoption Assessment
⊚ AI Systems Integration
⊚ AI Performance Evaluation
⊚ AI-Enabled Software Development
Our AI Consulting Services
www.skyl.ai contact@skyl.ai

39.
⊚ Free 1 month Trial + POC
⊚ Complimentary 30 min consultation
⊚ AI Implementation Playbook
www.skyl.ai contact@skyl.ai
Special offer for you...

40.
Questions?
?

41.
We hope to hear from you soon
Thank you for joining!
85 Broad Street, New York, NY, 10004
+1 718 300 2104, +1 646 202 9343
contact@skyl.ai