Explainable AI - How to build a trustworthy model

AI-based systems are disrupting almost every industry – healthcare, finances, education, retail, media, marketing, social, economy, HR system, etc, etc., and helping us to make crucial decisions that are impacting millions of lives.
Hence it is important to understand how these decisions are made by the AI system. 
Can we trust the Machine Learning, Deep Learning models, and their training algorithms?
The entire process involves a group of people. The bias can be introduced at every level of the entire cycle. How can we examine the fairness of the decision and predictions made by the AI / ML system? 
We can build an intelligent solution to detect bias in dataset, model development, and each stage of the Model Pipeline.
In my session, I will talk about how to build a trustworthy machine learning model which will explain the Model prediction visually.

AI/ML - Digital echo system

The session will describe the knowledge required to start the AI/ML and Data science career. Understand the entire digital ecosystem, tooling, tech stack which will help to build your learning plan effectively.

Ideal for students who want to build their career in AI/Ml & Datascience.
Duration - ~45 mins to 1 hr

AI For everyone -AI for good

AI is not only for engineers. Everyone needs AI knowledge to understand
- What AI realistically can--and cannot--do
- How to identify opportunities to apply AI in your own industry/organizations.
- How to work with an AI team and build an AI strategy in your company
- Understand the ethical and societal discussions surrounding AI

Non-Technical | Session duration - 1 hrs. | Ideal for students, professionals from any field basically anyone who wants to understand what is AI.

MLOPS - From POC to Production with AWS Sagemaker

AI/ML projects are highly dependent on data. A large volume of data needs proper infrastructure to run the data processing, ML training & tuning jobs. Amazon Sagemaker brings a broad set of capabilities required for end-to-end ML lifecycle implementation. Now Data scientists & developers can focus on innovation, research, Model development without any infrastructure hassle.

In this session learn how Sagemaker MLOps can support your data science projects from POC to production through deployment to maintenance. This session will focus on a hands-on project to build, train and deploy a cost-effective, scalable Machine Learning Model using Amazon Sagemaker.

Technical session | Duration -1 hr. | Level - Intermediate| Ideal for students, professionals, startup owners who want to build scalable production-ready AI/Ml system

Explainable AI with Amazon SageMaker Clarify

AI-based systems are disrupting almost every industry – healthcare, finances, education, retail, media, marketing, social, economy, HR system, and many more. AI is helping us to make crucial decisions that are impacting millions of lives.
Hence it is important to understand how these decisions are made by the AI system. 
 Can we trust the Machine Learning, Deep Learning models, and their training algorithms?
The entire process involves a group of people. The bias can be introduced at every level of the entire cycle. How can we examine the fairness of the decision and predictions made by the AI / ML system? 
AWS Sagemaker Clarify is an intelligent solution to detect bias in dataset, model development, and each stage of Model Pipeline.
In this session, I will implement AWS Clarify Solution to explain the prediction of the Machine Learning Model.

Duration -1 hr. | Level - Intermediate| Ideal for students, professionals, startup owners who want to build scalable production-ready explainable AI/ML systems.

how to retrain a SageMaker model with new data or new parameters.

In this session, I will show you how to retrain a SageMaker model using a Sagemaker scheduler.
The other way to do this using the Lambda function however that would need some coding expertise to deploy it with the Serverless framework. Sagemaker scheduler makes this process easy by using pre-built modules. I will show this process using a hands-on session with a pre-built Model.

Technical session | Duration -1 hr. | Level - Intermediate| Ideal for students, professionals, startup owners who want to build scalable production-ready AI/Ml systems using Cloud.

Machine Learning with Python

Learn Machine Learning with Python in a hands-on lab and build a Model using a Supervised Learning Technique.

Technical session | Duration -1 hr. | Level - Beginners | Ideal for students who are beginning their ML journey.

Build-Run-Deploy Machine Learning Model in AWS Cloud

Build-Run-Deploy Machine Learning Model in AWS Cloud using Sagemaker Hands-on Lab.

Technical session | Duration -1 hr. | Level - Intermediate| Ideal for students, professionals, startup owners who want to build scalable production-ready AI/Ml system

How to build a high performance , interpretable model

Build a high performance, interpretable model using PCA and Logistic Regression.

Technical session | Duration -1 hr. | Level - Intermediate| Ideal for students, professionals who want to learn dimensionality reduction, feature engineering, model evaluation.

All my presentations & blogs

17-Mar :
linkdin : https://www.linkedin.com/feed/update/urn:li:activity:7174985316771004416/
Blog: https://www.analyticsvidhya.com/blog/2024/03/sarbani-maiti/?utm_source=social&utm_medium=linkedin&utm_campaign=womeninai

===================
Role: Speaker at Arkitechton
Topic: Building application with Generative AI.
Date: July 21st 2023
Time: 6:00 PM GMT+1
Duration: 45 minutes

Here is the link to my talk:
https://www.youtube.com/watch?v=kpOTXoZwNvk

===================
Wids Bengaluru
https://www.linkedin.com/feed/update/urn:li:activity:7048735100632518657/
Tech Talk Topic. : AI in Healthcare : The Power of NLP in Clinical Text Processing
Venue : IIM Bangalore
Date April 08, at 8:30AM IST
================
11-Nov-2022 : Organizer AWS User Group India
Session - Re-admission prediction for heart failure patients using Sagemaker & AWS Comprehend Medical"

link: https://www.linkedin.com/feed/update/urn:li:activity:6993789977205583872/
==================================
3-Nov-2022
Organizer: Agile DevOps Global Community
Session: DevOps in Machine Learning
https://www.linkedin.com/feed/update/urn:li:activity:6993280877589880832/

===============
20-Oct-2022 : Organizer: AWS User Group Copenhagen
Session: AWS Healthcare AI Solution & NLP
https://www.linkedin.com/feed/update/urn:li:activity:6988552821394534400/
==================

12-Oct-2022, Organizer : ADAMAS University Kolkata, "Multi-disciplinary Applications of Artificial Intelligence on Innovations and Research", India
Session - Text Analysis , NLP , AWS Services
https://www.linkedin.com/feed/update/urn:li:activity:6986936878885158912/
==============================
Azuredevops Developer Community -
https://www.linkedin.com/posts/azdevindia_devopsday-devops-activity-6968852891511975936-wfJy/?utm_source=share&utm_medium=member_desktop

=========================
5-Sep-2022
Blog : https://medium.com/mlearning-ai/how-to-build-high-performance-model-serving-with-aws-sagemaker-nvidia-triton-inference-server-8e2001ae5e8
================
26-Aug-2022
Organizer: Azure Developer Community
Session: Devops in Machine Learning
https://www.linkedin.com/feed/update/urn:li:activity:6966640092408872960/

==================2021==========================

#DataWeekender CU5 on May 14th at 11:20 CEST AM (Track 2, Live session).
My session: "How to build a secure Data Strategy with Azure Machine Learning"

https://www.linkedin.com/posts/sarbani-maiti-35b89111_dataweekender-azure-powerbi-activity-6928952629163106304-mrSZ?utm_source=linkedin_share&utm_medium=member_desktop_web

========================================
9-Mar AWS User Group Malaysia event - Topic: How to build a machine learning pipeline with Amazon Sagemaker.

Youtube starting at 1:20:45 -> https://www.youtube.com/watch?v=ffUytbvEPno

=====================
Tuesday, March 8, 2022 for @TECHKNOWDay !

Talk on "How to build a production-ready Machine Learning System in Cloud - AWS Sagemaker"
The session link - https://lnkd.in/eECxmM7n

=======================
8 Mar For #InternationalWomensDay joined a panel discussion hosted by AWS community builders on Twitter Space about Building AI/ML Applications featuring.

Recording via Mobile twitter app - https://twitter.com/i/spaces/1nAKEYMqnmZKL
======================

AI Guild #datalift No 7 - Productionize data analytics and machine learning
Talk on how to build a Fraud Detector using machine Learning using Sagemaker.
YouTube: https://www.youtube.com/watch?v=CG2vUCcvnD8

=======================
Fincon - How to build a trustworthy model
https://bit.ly/3EQ8kL8

AWS User Group Coimbatore - How to build, train & deploy Machine Learning Model in Sagemaker
https://www.youtube.com/watch?v=Pv8CI_lYwQ8

AWS User Group - Introduction to AWS ML
https://www.youtube.com/watch?v=qi6MvMtVr3w

AWS Community Day South Asia 2021 - Explainable AI with Amazon Sagemaker Clarify.
https://lnkd.in/dkc2xMBi

live event datalift7 session - https://www.youtube.com/watch?v=CG2vUCcvnD8

Blogs:
https://www.analyticsvidhya.com/blog/2023/02/extracting-medical-information-from-clinical-text-with-nlp/

https://www.analyticsvidhya.com/blog/2022/04/population-health-analytics-with-aws-healthlake-and-quicksight/

https://www.analyticsvidhya.com/blog/2022/01/build-a-trustworthy-model-with-explainable-ai/

https://www.analyticsvidhya.com/blog/2022/02/building-ml-model-in-aws-sagemaker/

Linkedin Articles:
https://www.linkedin.com/in/sarbani-maiti-35b89111/detail/recent-activity/posts/

My sessions and presentations are listed here.