In the past, getting insights from the data using machine learning (ML) and artificial intelligence (AI) required experts with coding skills and knowledge of math & statistics. The scarcity of talent and huge infrastructure set up cost, often makes it difficult for organizations to get early results from their Machine Learning initiatives.
Through this webinar, we will learn how 'No Code AI' tools make it possible to leverage the power of machine learning without needing to code. It is helping business analysts, domain experts, and business decision-makers to experiment and get started with quick-win Machine Learning projects.
What you'll learn
- Traditional vs No Code AI Process
- Best practices to accelerate machine learning adoption
- Demo: How organizations are deploying machine learning models without coding expertise within hours, not weeks
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
No Code AI - How to Deploy Machine Learning Models with Zero Code?
1. No Code AI
How to Deploy Machine Learning
Models with Zero Code?
2. Technology leader with 20+ years expertise in Product Development, Business strategy and
Artificial Intelligence acceleration. Active contributor in the New York AI community
Extensively worked with global organizations in BFSI, Healthcare, Insurance, Manufacturing,
Retail and Ecommerce to define and implement AI strategies
Nisha Shoukath
Co-founder, People10 & Skyl.ai
The Speaker
3. Shruti Tanwar
Lead - Data Science
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.
The Speaker
4. 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
Bikash Sharma
CTO and Co-founder at Skyl.ai
5. All dial-in participants will be muted to enable the
presenters to speak without interruption
Getting familiar with ‘Zoom’
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. A quick intro about Skyl.ai
ML automation platform for unstructured data
Guided Machine Learning Workflow
Build & deploy ML models faster on
unstructured data
Collaborative Data Collection & Labelling
Easy-to-use & scalable AI SaaS platform
7. ...In the next 30 minutes
Demystifying
No code AI
Live Demo: How
product managers can
deploy ML models in
minutes
1 2 3
Live Demo: Easy model
tuning & refinement
for data scientists
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
10. $4.32 bn to $21.2 billion
Increased demand for No code
development platform from 2017-
20
Forrester Research
Citizen development
is happening, and IT needs to be
more engaged.
Gartner, 2017
11. No Code Development platform uses a visual
development environment allowing users to create
apps without coding skills.
What is ‘No code’ platform?
12. Who is a Citizen Developer?
Citizen developer is a user who creates new
business applications from a corporate or
collective code base, system or structure
14. Business applications using Excel
Stock Trading Simulator Excel
Source: LetOurMoneyGrow.com
Allowed users to perform complex number crunching using Excel functions
15. No code in website
Build an Ecommerce shop
with ‘Shopify’
- Drag & drop builder
Gives power to create fully functional websites without any coding
Ecommerce shop with Magento
Manage websites & content on ‘Wordpress’ without developer intervention
16. No code in mobile
Quicker & faster app development using
‘Appsheet’
Build intuitive mobile apps without coding
Deliver a rich user experience with a robust
feature set
17. No code in Artificial Intelligence
Teachable Machine by Google
https://teachablemachine.withgoogle.com/
Fast way to create machine learning models
18. Benefits of No Code Tools
Agility Reduced
Cost
Better
productivity
Easy change
management
offset
shadow IT
19. Approach - Traditional AI
Prepare
Data
Fine-tune
models
Evaluate
model
performance
Write
prediction
API
Deploy
using
DevOps
1 3 64 52
Implement
the
algorithm
20. Approach - No Code AI
Prepare
Data
Evaluate
model
performance
1 32
Train &
fine-tune
models
Write
prediction
API
Deploy
using
DevOps
Implement
the
algorithm
21. POLL #2
Some challenges that you are facing while
implementing AI & Machine Learning
⊚ Not started yet, so no
challenges
⊚ Data collection
⊚ Data Labeling
⊚ Large volumes of data
⊚ Identifying the right data set to
train
⊚ Lack of knowledge of ML tools
⊚ Lack of end to end platform
⊚ Lack of expertise
⊚ Choosing the right
algorithms
22. Live Demo: How business
users can create ML
models in minutes
02
24. Challenges in catalog management
⊚ Inaccurate product catalog
⊚ Missing apparel attributes
⊚ Inconsistent supplier-provided product data
⊚ Time consuming and error prone human product catalog management
25. Live Demo to optimize
ecommerce catalog
management
26. No Code AI enabling Business Agility
⊚ Early visibility & transparency
⊚ Easy Collaboration
⊚ Monitor model performance real-time
⊚ Less time spent on development & feedback
⊚ No infrastructure setup cost
How it’s helping CXOs, Product Managers and Business Analysts
28. News Category
Classification
based on headline
Tag news articles by using Natural Language Processing
Business Sports Entertainment Politics Technology
31. No Code AI enabling Data Science
⊚ Faster data collection & uploading without engineering help
⊚ More time focused on fine tuning the model rather than
managing development & infrastructure work
⊚ Push button deployment without devops
⊚ Faster experimentation & quicker results
How it’s helping data scientists
35. 85 Broad Street, New York, NY, 10004
+1 718 300 2104, +1 646 202 9343
contact@skyl.ai
We hope to hear from you soon
Thank you for joining!
Notes de l'éditeur
Hello and welcome everyone. Thank you for joining today - my name is … and I’ll be your host today for the webinar on No Code AI- How to Deploy Machine learning models with zero code- Now I’d like to take a brief moment to introduce 3 AI-expert speakers who will be sharing their knowledge today..
First we have Nisha Shoukath - Nisha is a technology entrepreneur with background in investment banking. She’s co-founded two successful technology startups and has worked with wide variety of global organizations from different industries. She helps enterprises with defining AI strategy, and AI adoption roadmaps. She’s also an active member in the New York AI community as well. Welcome, Nisha!
Next we have Shruti Tanwar - Shruti is an expert in data science who has extensive experience in building SaaS products using Machine Learning and AI.
Her expertise includes Deep Learning and Data Analysis which are some of the topics we’ll be discussing today. Welcome, Shruti!
Finally, we have an AI expert panelist joining today - Bikash Sharma. Bikash is CTO and Software Architect with 15 years of experience in leading innovative software projects and solutions. He’s co-founded Skyl.ai with his expert knowledge in AI and Machine Learning, so welcome, Bikash!
Before we begin, I’d like to talk about Zoom for a bit.
First off, all participants in the webinar will be muted to avoid any interruptions during the session.
If you have any questions during the webinar you can submit them to the Zoom Questions chat window which is located on the bottom of the Zoom screen in the controls and we’ll make sure to address them towards the end during Q&A.
Also, the recording of the webinar will be emailed to you afterwards, so don’t worry if you’ve missed any points during the session or wish to view it again
So that’s all for the introduction - now, we’ll get started with the webinar and I’ll hand it over to Nisha
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
So, who are these “citizen developers”? They are individuals within a company who have access to a visual integrated development environment (IDE). Within this environment, the citizen developer is able to use drag-and-drop application components, connect them together in order to generate a new unique web or mobile application. This low-code/no-code software empowers employees to design and build powerful applications which can grow an adapt according to the needs of a business.
In the past, end-user application development has typically been limited to single-user or workgroup solutions built with tools like Microsoft Excel and Access. However, today, end users can build departmental, enterprise and even public applications using shared services, fourth-generation language (4GL)-style development platforms and cloud computing services.
Business professional creating applications like stock trading simulator or income tax submission without needing to code.
The example above is of Deriscope that includes a chart of all three quote types – bid, ask and trade price – that extend up to the time of the last received feed
Wiith the evolution of ecommerce- wordpress magento, wix , shopify
Today anyone with a computer and access to the internet can build a website using tools. These GUI-based tools have extended far beyond static sites to fully functional applications. In less than an hour you can create -
templated user-interface and user experience functionality for common needs such as forms, workflows, and data display allowing creators to expedite parts of the app creation process.
(Put examples of popular platform)
Like how Google created Teachable Machine, a simple experiment that lets users teach a machine using your camera. Teach a model to classify images using files or your webcam, Teach a model to classify audio by recording short sound samples. etc
Agility - Faster to build apps using pre-built modules, Less time to build due to automated testing process . Create and deploy multi-platform apps in real-time.
Reduced Cost - No need to spend money on setting up infrastructure & skilled developers
Better productivity - The IT staff is not overloaded with requests from every other department.
Easy to make changes - With traditional hand coding, the problem is that you can’t really change a functionality or a feature at the drop of a hat. Especially when the coding language is foreign to you. A no-code development platform is an exact opposite. You can deliver a rich user experience with a robust feature set.
Offset Shadow IT - Companies are taking a long and hard look at no-code development as a means to offset shadow IT and ensure that their IT departments aren’t clogged with requests.
hard code the behavior of the program.
--Devops and software engineering - eliminated
Analyst and Data science - get more time to finetune
Prepare data
Implement the algorithm
Fine Tuning the model
Write prediction API
Deployment using DevOps
Evaluate model performance
hard code the behavior of the program.
--Devops and software engineering - eliminated
Analyst and Data science - get more time to finetune
Prepare data
Implement the algorithm
Fine Tuning the model
Write prediction API
Deployment using DevOps
Evaluate model performance
Not started yet, so no challenges
Data collection
Data Labeling
Data Bias
Large volumes of data
Identifying the right data set to train
Lack of knowledge of ML tools
Lack of end to end platform
Lack of expertise
Choosing the right algorithms
Monitoring the model performance
2 PErsona —— 2 use cases
Can you imagine a scenario wherein you were writing a code to classify all the attributes of a product?
It’s not just cat or dog but you have to input all species of dogs and cats else how would you tell the difference among different breeds
If you start writing code for it then it will become a complicated process and this is where machine learning comes into the picture
Persona driven data —— Define persona - use case (HR) - what problem are they trying to solve? --Computer vision & NLP problem
Upload prelabeled data - Train - predict demo (as a non tech user how you can deploy models)
2 PErsona —— 2 use cases
Can you imagine a scenario wherein you were writing a code to classify all the images of dogs and cats?
It’s not just cat or dog but you have to input all species of dogs and cats else how would you tell the difference among different breeds
If you start writing code for it then it will become a complicated process and this is where machine learning comes into the picture
Persona driven data —— Define persona - use case (HR) - what problem are they trying to solve? --Computer vision & NLP problem
Upload prelabeled data - Train - predict demo (as a non tech user how you can deploy models)
More tech centric benefits
Now, we
Thank you Shruti
So if you’re interested in incorporating powerful and easy-to-use machine learning solutions to your business, or just interested in learning more about machine learning in general, Skyl offers free trial for 15 days plus complimentary consultation, you can follow the link on the screen and register - it’ll only take a few minutes.
Thank you, Nisha and Shruti! We will go ahead and take some time for questions now. Just a reminder, please be sure to type your questions into the question box in your control panel.
---------------
We’ll wrap up today’s webinar with some questions from you guys - *read questions and pass over to Nisha or Shruti*
Sample questions:
How difficult is it for a non technical person to use the platform?
How do I build a labelled dataset through the platform?
How do I test the accuracy of the model and also in the case that it declines in fairness over time?
Ok so we’ll wrap up here, that’s all the time we have for the webinar today.
I’m sorry if your question wasn’t answered today, you can still contact Skyl through contact@skyl.ai and the Skyl team will get back to you within 24 hours - so feel free to send the team any questions you might have
about incorporating machine learning to your business or just to learn more about how Skyl handles the machine learning process. You can also contact Skyl via Linkedin as well if you’d like by just searching s k y l. As mentioned before, the recording of this webinar will be provided to you via email and also will be uploaded on Skyl.ai which is the url link you see on the screen below the email address
Confidently - to be charge of / control of your AI projects.Script: https://docs.google.com/document/d/1NWGBbMg1SpePzvaFiO0gy_vkgoyAGGcwe1D2_OUcQIE/edit#
---------------------
All right, so that’s it for today’s webinar on No Code AI - I hope you enjoyed it, we have a lot more webinars coming up on different machine learning topics and how they can be implemented in your businesses - the next webinar will be on “how to implement biomedical named entity recognition with machine learning” so don’t miss out and make sure you sign up for that one as well - thank you for joining and have a wonderful day