Meet the builders: Machine Learning, NLP and AI Healthcare

For October session of Meet the builders, a series of virtual events hosted by the AWS User Group Copenhagen in collaboration with the AWS Community Builders program, we will deep dive into Sagemaker with Darya Petrashka, Data Scientist and Sarbani Maiti, VP - Data Science, both part of the AWS Community Builders program.

The talk is divided in two parts:
Part 1, presented by Darya, will serve as an introduction to Machine Learning (ML) services, based on Natural Language Processing (NLP).
Part 2, presented by Saibi, will show a concrete use case applied to the healthcare domain.

--- Agenda ---
17:00 - 17:05: Intro
17:05 - 17:30: NLP on AWS: SageMaker and high-level services
17:30 - 18:00: AI in Healthcare with AWS
18:00 - 18:30: QA

Part 1
NLP on AWS: SageMaker and high-level services, by Darya Petrashka

Abstract
NLP (natural language processing) nowadays is a very popular component of machine learning. AWS proposes a huge variety of tools to solve various NLP tasks. AWS SageMaker which enables data scientists to quickly and easily train and deploy machine learning models has built-in NLP algorithms. The BlazingText algorithm (text classification) and 2 topic modeling algorithms (LDA and Neural Topic Model) will be covered during the talk. However, to solve a specific NLP task, you don’t always need to write code, AWS has many high-level services: Amazon Translate can translate many languages, Amazon Transcribe performs a speech-to-text task, Amazon Polly converts text into speech, and Amazon Lex builds chat-bots. There is also Amazon Textract that performs document text detection and analysis tasks. All the mentioned services can be used in different domains like retail, commerce, education, medicine, etc.

About Darya
AWS Community Builder, works as a Data Scientist at Schlumberger. She is passionate about data and its usage for problem-solving. The area of interest includes classical ML and NLP, as well as working with AWS services. An eternal student, she likes taking part in online schools, courses, and workshops. She shares insights on her Linkedin page and medium blog.

Part 2
AI in Healthcare with AWS, by Sarbani Maiti

Abstract
Healthcare organizations are facing significant challenges due to rising costs, inefficient operational processes, and inconsistent, complex health data, overall impacting the patient care system.
AWS machine learning services are helping healthcare organizations to improve and accelerate diagnosis, manage population health, enable drug discovery, and modernize care infrastructure on a global scale.
AWS Healthlake Securely store, transform, query, and analyze structured & unstructured data in minutes.
Amazon Comprehend Medical extract information from unstructured medical text, clinical notes, and discharge summary accurately and quickly.
Amazon Textract automatically extracts printed text, handwriting, and data from any document.
Amazon Rekognition automates medical image and video analysis with machine learning.

About Sarbani
VP - Data science at Veersa Technology, AWS Community Builder
Helping businesses transform their data into measurable value and drive change across the organization with powerful data strategy, system design and AI/ML capabilities. https://www.linkedin.com/in/sarbani-maiti-35b89111/