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No Code AI - How to Deploy Machine Learning Models with Zero Code?
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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
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No Code AI - How to Deploy Machine Learning Models with Zero Code?
- No Code AI How to Deploy Machine Learning Models with Zero Code?
- 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
- 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
- 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
- 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
- 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
- ...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
- 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
- Demystifying ‘No code AI’ 01
- $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
- No Code Development platform uses a visual development environment allowing users to create apps without coding skills. What is ‘No code’ platform?
- 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
- Evolution of No Code Tools
- Business applications using Excel Stock Trading Simulator Excel Source: LetOurMoneyGrow.com Allowed users to perform complex number crunching using Excel functions
- 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
- 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
- No code in Artificial Intelligence Teachable Machine by Google https://teachablemachine.withgoogle.com/ Fast way to create machine learning models
- Benefits of No Code Tools Agility Reduced Cost Better productivity Easy change management offset shadow IT
- Approach - Traditional AI Prepare Data Fine-tune models Evaluate model performance Write prediction API Deploy using DevOps 1 3 64 52 Implement the algorithm
- Approach - No Code AI Prepare Data Evaluate model performance 1 32 Train & fine-tune models Write prediction API Deploy using DevOps Implement the algorithm
- 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
- Live Demo: How business users can create ML models in minutes 02
- Optimize Ecommerce Product Catalog Management Automate product classification by labeling appropriate attributes for e-commerce catalog
- Challenges in catalog management ⊚ Inaccurate product catalog ⊚ Missing apparel attributes ⊚ Inconsistent supplier-provided product data ⊚ Time consuming and error prone human product catalog management
- Live Demo to optimize ecommerce catalog management
- 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
- Demo: Easy model tuning & refinement for Data Scientists 03
- News Category Classification based on headline Tag news articles by using Natural Language Processing Business Sports Entertainment Politics Technology
- Challenges ⊚ Time consuming manual classification method ⊚ Large volume of data
- Live Demo to classify news category
- 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
- Skyl.ai - Low Code AI Platform
- Try out 15 days free trial with complimentary consultation on pilot project Register https://skyl.ai/form?p=start-trial
- Questions? contact@skyl.ai https://skyl.ai/ ?
- 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!
Editor's Notes
- 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
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