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Speaking of John Snow Labs – Here’s Our Spring 2021 Event Lineup

By May 19, 2021No Comments

We’ve been busy here at John Snow Labs over the last several months. Despite the slow pickup of in-person events in 2021, that hasn’t stopped us on the speaking circuit, and we’ve had some great virtual sessions—both past and upcoming—that are worth mentioning. On the heels of our inaugural Healthcare NLP Summit in April, we wanted to keep the momentum going into the summer, and we’re off to the races. 

With sessions from our experts including CTO David Talby, Lead Data Scientist Veysel Kocaman, and Data Scientist Hasham Ul Haq, we’ve covered topics from model governance and personalized healthcare to natural language understanding of text using Spark NLP and real-world evidence to support oncology decisions. 

Don’t worry if you missed us live the first time around. You can learn more or watch our recent talks by following the links below. You can also see where we’ll be presenting later in the year and get registered if you want to tune in. Hope to ‘see’ you there. 

Get the Recap

This session describes some of the first real-world projects that power such applications, extracting clinical facts using Spark NLP for Healthcare – the most widely used, most accurate, and most scalable Healthcare NLP library today – along with lessons learned and promising future directions.

This hands-on tutorial uses the open-source Spark NLP library to explore advanced NLP in Python. Spark NLP provides state-of-the-art accuracy, speed, and scalability for language understanding by delivering production-grade implementations of some of the most recent research in applied deep learning. It’s the most widely used NLP library in the enterprise today.

In this demo, we demonstrate how Spark NLP can be leveraged to analyze longitudinal records of cancer patients, enabling oncologists to see patient data clearly and saving thousands of hours for human-level abstraction.

Introduction to SparkNLP

This talk covers the basic components and building blocks of Spark NLP and some end-to-end NLP pipelines, including the state-of-the-art text classification and named entity recognition models.

This session presents the open-source Spark NLP library, which provides exceptional accuracy, speed, and scalability for language understanding. It delivers production-grade implementations of some of the most recent research in deep learning and transfer learning.

This session explores how to easily apply pre-trained models in the open-source Spark NLP library to perform natural language understanding tasks on English text.

This session describes these challenges in the context of real-world projects and use cases. We’ll then cover how recent advances in natural language processing (NLP) and transfer learning have changed the game in terms of achievable accuracy and scale. Results and benchmarks from doing so using Spark NLP for Healthcare will be shared, as well as best practices and lessons learned from early adopters of the technology.

This session describes these challenges in the context of real-world projects and use cases. We’ll then cover how recent advances in natural language processing (NLP) and transfer learning have changed the game in terms of achievable accuracy and scale. Results and benchmarks from doing so using Spark NLP for Healthcare will be shared, as well as best practices and lessons learned from early adopters of the technology.

Meet Us At

This hands-on deep-dive session uses the open-source Apache Spark NLP library to explore advanced NLP in Python. Apache Spark NLP provides state-of-the-art accuracy, speed, and scalability for language understanding by delivering production-grade implementations of some of the most recent research in applied deep learning. Apache Spark NLP is the only open-source NLP library that can natively scale to use any Apache Spark cluster, as well as take advantage of the latest processors from Intel and Nvidia. It’s the most widely used NLP library in the enterprise today.

This session will review case studies from real-world projects that built AI systems using Natural Language Processing (NLP) in healthcare. These case studies cover projects that deployed automated patient risk prediction, automated diagnosis, clinical guidelines, and revenue cycle optimization. It will also cover why and how NLP was used, what deep learning models and libraries were used, and what was achieved. 

This talk summarizes the current best practices for model governance, along with freely available tools you can use today to apply them. This talk is intended for software and data science leaders who need to safely build, deploy and operate AI models today.

Join the NLP Summit: two weeks of immersive, industry-focused content. Week one will include over 30 unique sessions, with a special track on NLP in Healthcare. Week two will feature beginner to advanced training workshops with certifications. Attendees can also participate in a datathon and join coffee chats with speakers, committers, and industry experts.

The ODSC West Conference 2021 is one of the largest and only applied data science training conferences in the world. Instructors include some of the core contributors of many open source tools, libraries, and languages. Attend ODSC West 2021 to learn the latest AI and data science topics and tools from some of the best and brightest minds in the field.