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SFL Scientific | AWS - Artificial Intelligence Workshop for HCLS

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AWS Seaport

27 Melcher Street

Boston, MA 02210

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Event description
Executive-level overview of Artificial Intelligence and the applications in Healthcare & Life Sciences.

About this Event

SFL Scientific & AWS Artificial Intelligence Workshop

Description

Artificial Intelligence has become a core technology underlying many modern applications, especially in healthcare, where the techniques provide powerful methods for analyzing large data sets, such as medical images, electronic health records, and operational data. With the potential to speed up the diagnostic process, enable higher quality assessment of multiple conditions, and standardize reproducible decisions, providers, payers, and life sciences companies are looking to leverage these emerging technologies and close capability gaps.

Pragmatic technical implementation can have the potential to lower costs, identify more effective treatments, develop new tools and products, while driving company growth through automation and competitive advantage. In this workshop we will explore: The significance of data-strategy and its impact on core business goals; an executive level introduction to AI & ML; case studies exploring the business value and impact with AI-driven methods; how data scientists can leverage AWS AI-frameworks to jump start development and integrate into existing workflows. We highly encourage executives and leaders of all backgrounds to join.

About SFL Scientific

SFL Scientific is a professional services firm and AWS Data Science Consulting partner, providing a broad range of custom solutions in machine learning, Artificial Intelligence, data strategy, and data engineering. We design, prototype, integrate, and manage sophisticated AI systems by leveraging emerging technology.

SCHEDULE

Location: 27 Melcher St, Boston, MA 02210

Date: October 30, 2019

Time: 10:00 AM - 1:00 PM

*Lunch will be provided TBD.

Course Objectives

  • Learn the latest AI technologies currently being used in healthcare & life sciences
  • Develop an understanding of data strategy and identification of machine learning outcomes
  • Identify potential AI workloads that you can implement in your organization
  • Work through several real world use cases - medical imaging, natural language processing, biomarkers
  • Speak with experts about data collection and mitigating false starts
  • Discuss use case objectives and how to evaluate pilot feasibility, cost, or timelines

WHO SHOULD TAKE THIS COURSE?

Healthcare, pharmaceutical, and/or life sciences business professionals interested in Artificial Intelligence and how it is transforming the industry.

Individuals involved in departments that focus on preclinical and R&D activities such as large-scale medical imaging (MRI, CT, pathology), to the extraction of text from EHR and clinical notes, to post drug development activities, such as developing monitoring tools, speech to text, pharmacovigilance, and safety automation, there is an opportunity to examine practical solutions and help inform future investments.

PREREQUISITES

General familiarity with data science or machine learning terminology

Course Outline

  1. Executive level outline to AI
  2. Formulating a data strategy
  3. Medical Imaging use case and workflow, focus on deep learning applications
  4. Text based use case and workflow
  5. Time Series use case and workflow
  6. AI-ready AWS architecture [AWS - TBD]
  7. Use case & open discussion / Q&A
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AWS Seaport

27 Melcher Street

Boston, MA 02210

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