Healthcare andLife Sciences Guide
to Data + AI Summit

Open Your World
to Data + AI
Hello!
We are thrilled to have you join us as we explore new innovations together at the Data + AI Summit
2021! With 100,000 registrants and more than 200 sessions, we are excited to have you for ourbiggest event to date! Summit is virtual this year which gives you the flexibility to explore different
sessions from anywhere in the world.
This Health and Life Sciences Guide to Data + AI Summit is designed to ensure you get the mostout of your experience. We have a stellar lineup of Health and Life Sciences sessions led by
GlaxoSmithKline, Sanofi, Takeda, Centers for Medicare & Medicaid, and many others in the industry.
We are also featuring a series of interactive solution demos to help you get started innovating.
In addition, we’re hosting a Health and Life Sciences Forum featuring Data + AI leaders from Humana,
The Department of Veteran’s Affairs, Providence St. Joseph’s Health, and Aetion. Our esteemed listof speakers will share their perspectives on the biggest issues facing the industry including healthequity, displacement of care, real-world evidence, and digital engagement.
Take the time to virtually network and ask any Databricks team members questions: We arehere to help and love to discuss big ideas. And be sure to check out the full agenda for the most
up-to-date information.
We look forward to a compelling week of Data + AI with you!

Mike Sanky
Global Industry Lead,
Health and Life Sciences

Contents
This guide is designed to help Data + AI Summit 2021 attendees in the
Healthcare and Life Sciences Industry plan their experience and identify
breakout sessions and events of interest. It is intended to complement
the full Data + AI Summit website and in-app experience.

Data + AI Summit 2021 Overview

4

Create Your Own Experience

4

All Things Healthcare and Life Sciences at Summit

5

Healthcare and Life Sciences Industry Forum

5

Healthcare and Life Sciences Talks

6

Interactive Demos12

Summit Checklist

13

Ask an Expert

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Data + AI Summit 2021 Overview
Data + AI Summit is the global event for the data community, where
100,000 practitioners, leaders and visionaries come together to shape
the future of data and AI. This guide outlines specific tracks relevant
to Healthcare and Life Sciences that you may be interested in.

Data + AI Summit is virtual this year
— and it’s easy to register here
May 24 –28, 2021

Create Your Own Experience
We have created three different Healthcare and Life Sciences experiences so that you can get the mostfrom Summit:

1

HE ALTHCARE AN D L I FE SCI EN CES FORU M S
Enjoy our industry-specific keynotes and panel discussions with thought leaders from someof the biggest global brands.

2

T E C H TALKS
Deep-dive into specific topics and technical sessions with a leading expert from your field
who has tackled the data and AI problems you are looking to solve

2

LIVE DE MOS
join interactive solution accelerator demos for popular Healthcare and Life Sciences use
cases and AMA sessions with our data + AI technical experts#DataAISummit

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All Things Healthcare and Life Sciences at Summit
Use this section to schedule and design your Summit experience around Healthcare and Life Sciences
consisting of our industry forum, talks and live demos.

Healthcare and Life Sciences ForumT H U RSD AY , M AY 27

11:00 AM – 1:00 PM PT

Join us for our most popular industry event, featuring our Healthcare and Life Sciences keynotes and panel
discussion with thought leaders from some of the biggest global brands. Hear first-hand how they are unlocking thepower of data + AI to accelerate drug discovery and improve patient care. Discussion topics include health equity,
novel uses of real-world data, improving patient engagement and new healthcare delivery models.
KE YN OT EThe Opportunity for Real-world Data
CARO LY N M A G ILL, CEO, AETIONPAN EL
DEEPA K SA D A G OPA N, SVP. Population Health Informatics, Providence St. Joseph’s HealthDR. JO HN S. SC OT T , Physician Informaticist, The Department of Veterans Affairs
S L AW E K KI E RN E R , SVP, CDAO, Humana
CARO LY N M A G ILL, CEO, Aetion#DataAISummit

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Healthcare and Life Sciences Tech Talks
We have a full agenda of Healthcare and Life Sciences talks taking place at Data + AI Summit. See which ones best fit
what you’re looking for.

W E DNE SD AY , M AY 26

11:30 AM PT

RWE & Patient Analytics Leveraging Databricks — A Use Case
HARINI G OPA LA KR IS H N A N , Director, Sanofi
MARTIN LON G PR E , Architect, Sanofi

Gaining insights and knowledge from real-world health data (RWD) has been an area of continued opportunity
for pharma organizations. This session dives into what real-world data and real-world evidence is and how it isgenerated, what value it drives for life sciences in general and what kind of analytics are performed. The team at
Sanofi will discuss some considerations and challenges related to data security, privacy, and industrialization of a big
data platform hosted in the cloud. They’ll also share how they use Databricks to perform big data ingestion including
advantages over native AWS Batch/Glue and examples of some of the advanced analytics use cases that leveraged
Databricks for RWE.

W E DNE SD AY , M AY 26

3:15 PM PT

Advanced Natural Language Processing With Apache Spark NLPDAVID TA LBY , Chief Technology Officer, John Snow LabsThis 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.
You’ll edit and run executable Python notebooks as we walk through these common NLP tasks: documentclassification, named entity recognition, sentiment analysis, spell checking and correction, grammar understanding,question answering, and translation.

#DataAISummit

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Healthcare and Life Sciences Tech Talks
W E DNE SD AY , M AY 26

4:25 PM PT

FlorenceAI: Reinventing Data Science at Humana
DAVID M A C K , Cognitive and Machine Learning Principal, Humana

Humana strives to help communities and individual members achieve their best health — no small task in the past
year! Rethinking their existing operations and reimagining what a collaborative ML platform for hundreds of data
scientists might look like, they built FlorenceAI to automate and accelerate the delivery lifecycle of data sciencesolutions at scale. In this presentation, they will walk through an end-to-end example of how to build a model at scale
on FlorenceAI and deploy it to production. Tools highlighted include Azure Databricks, MLFlow, AppInsights, andAzure Data Factory.

W E DNE SD AY , M AY 26

4:25 PM PT

Drug Repurposing Using Deep Learning on Knowledge Graphs
ALEX THOM AS, principal data scientist, Wisecube
VIS HNU V E T T R IV E L, Founder and CTO, Wisecube

Discovering new drugs is a lengthy and expensive process. This means that finding new uses for existing drugs canhelp create new treatments in less time and with less time. The difficulty is in finding these potential new uses. How
do we find these undiscovered uses for existing drugs? In this talk, we discuss how to unify the available structured
and unstructured data sets into a knowledge graph and use deep learning techniques to predict latent relationships.

W E DNE SD AY , M AY 26

5:00 PM PT

Wizard Driven AI Anomaly Detection With Databricks in Azure
NAO MI KA D UW E LA , Head of Kavi Labs, Kavi Global

Fraud is prevalent in every industry, and growing at an increasing rate, as the volume of transactions increases with
automation. The National Healthcare Anti-Fraud Association estimates $350B of fraudulent spending. At the sametime as fraud and anomaly detection use cases are booming, the skills gap of expert data scientists available toperform fraud detection is widening.
The Kavi Global team will present a cloud native, wizard-driven AI anomaly detection solution, enabling
Citizen Data Scientists to easily create anomaly detection models to automatically flag Collective, Contextual,and Point anomalies, at the transaction level, as well as collusion between actors.

#DataAISummit

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Healthcare and Life Sciences Tech Talks
T H U RSD AY , M AY 27

11:35 AM PT

Empowering Real Time Patient Care Through Spark Streaming
ARNAV C HAUD HA RY , Manager, Takeda

Takada’s Plasma Derived Therapies (PDT) business unit has recently embarked on a project to use Spark Streaming
on Databricks to empower how they deliver value to their Plasma Donation centers. As patients come in and interface
without clinics, we store and track all of the patient interactions in real time and deliver outputs and results based on
said interactions. The current problem with our existing architecture is that it is very expensive to maintain and has
an unsustainable number of failure points. In this talk, we will discuss how we use Spark Streaming and Delta Lakeenables us to replace our existing ETL processes into a purely stream driven architecture.

T H U RSD AY , M AY 27

11:35 AM PT

How Machine Learning and AI Can Support the Fight Against COVID-19
DMITRY SOSHN IK OV, Director, Microsoft
FRANCE SCA LA Z Z E R I , Director, Microsoft

In this session, we show how to leverage CORD dataset, containing more than 400000 scientific papers on COVID andrelated topics, and recent advances in natural language processing and other AI techniques to generate new insights
in support of the ongoing fight against this infectious disease.

T H U RSD AY , M AY 27

3:15 PM PT

Entity Resolution Using Patient Records at CMMIBRETT LUSK IN , Data Scientist, NewWave

The presentation will discuss the need for and deployment of a Databricks-enabled Entity Resolution Capability at
the Center for Medicare & Medicaid Innovation (CMMI) within the Centers for Medicare & Medicaid Services (CMS), thefederal government agency that is also the nation’s largest healthcare payer. CMMI builds innovation models thattest healthcare delivery and payment systems, integrating and parsing huge datasets with multiple provenance andquality. We will explore the specific entity resolution use cases, the ML necessary for this data and the unique uses of
Databricks for the federal government and CMS in providing this capability.

#DataAISummit

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Healthcare and Life Sciences Tech Talks
T H U RSD AY , M AY 27

4:15 PM PT

From Vaccine Management to ICU Planning: How CRISP Unlocked the Power of Data
During a Pandemic
ANDY HA N KS, Analytics Platform Owner, Chesapeake Regional Information System
STEVE D OW LI N G , Data Engineer, Slalom Consulting

Chesapeake Regional Information System for our Patients (CRISP) is a nonprofit healthcare information exchange(HIE) whose customers include states like Maryland and healthcare providers such as Johns Hopkins. CRISP’s work
supports the local healthcare community by securely sharing the kind of data that facilitates care and improves
health outcomes.
When the pandemic started, the Maryland Department of Health reached out to CRISP with a request: Get us thedemographic data we need to track COVID-19 and proactively support our communities. As a result, CRISP
partnered with Slalom to build a data platform powered by Databricks and Delta Lake. Using the power of the
Databricks Lakehouse platform and the flexibility of Delta Lake, Slalom helped CRISP provide the Maryland
Department of Health with near real-time reporting of key COVID-19 measures. With this information, Maryland
has been able to track the path of the pandemic, target the locations of new testing sites, and ultimately improveaccess for vulnerable communities.

FR I DAY , M AY 2 8

10:30 AM PT

Towards Personalization in Global Digital Health
AFRICA PE R IA N E Z , Founder and CEO, benshi.ai

The rapid expansion of mobile phone usage in low-income and middle-income countries has created unprecedented
opportunities for applying AI to improve individual and population health. We aim to do so by providing personalized
predictions and recommendations to support diagnosis to medical care teams and frontline workers, as well as tonudge patients through personalized incentives towards an improvement in disease treatment management andgeneral wellness. This talk will focus on how we overcome technical challenges to build a state-of-the-art machinelearning platform, on Databricks, that serves to improve global health outcomes.

#DataAISummit

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Healthcare and Life Sciences Tech Talks
FR I DAY , M AY 2 8

10:30 AM PT

Drug and Vaccine Discovery: Knowledge Graph + Apache SparkJO HN HUN T E R , Director, GlaxoSmithKline

GSK has set out to build the world’s largest medical knowledge graph to provide our scientists access to the world’s
medical knowledge, and also enable machine learning to infer links between facts. To power RDF sub-graphing,
GSK has developed a set of open-source libraries codenamed “Project Bellman” that enable Sparql queries overpartitioned RDF data in Apache Spark. These tools are used by both GSK’s Ai/ML team to discover gene to disease
mappings, and GSK’s scientists to query over the world’s medical knowledge.

FR I DAY , M AY 2 8

11:05 AM PTManaging R&D Data on Parallel Compute Infrastructure
ANDREW B ROW N , Manager, ZS Associates

Clinical genomic analytics pipelines using Databricks and the Delta Lake for the benefit of loading individual
reads from raw sequencing or base-call files have significant advantages over more traditional methods.
Analysis pipelines that perform genomic mapping to purpose-built reference data artifacts persisted to tables
allows for enhanced performance that is magnitudes greater than previous mapping methods. These scalable,
reproducible, and potentially open sourced methods have the ability to transform bioinformatics and R&D data
management/governance.

FR I DAY , M AY 2 8

11:40 AM PT

Automatic ICD-10 Code Assignment to Consultations
JO INAL A HM E D , Data Scientist, Halodoc Technologies
NIRAV KUM A R , Director of Data Science, Halodoc Technologies

This session aims at constructing a machine learning model for ICD-10 coding, where the model automaticallydetermines the corresponding diagnosis codes solely based on free-text medical notes. By applying Natural
Language Processing (NLP) and Recurrent Neural Network (RNN) architecture, this model can significantly reduce
human resources in coding time compared with a professional coder.

#DataAISummit

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Interactive DemosDon’t miss these live demos for our latest Healthcare and Life Sciences solution accelerators with the opportunity tointeract and ask Databricks Solution Architects anything!

W E DNE SD AY , M AY 26

11:30 AM - 12:00 PM PT

Predicting Opioid Misuse With Databricks and SQL Analytics
Every year, prescription opioid misuse results in unnecessary loss of life and places a massive financial burden on
the healthcare system. Advanced analytics can be used to identify and flag anomalous opioid distribution patterns.
Join this demo to learn how multiple data personas can collaborate using Databricks and SQL Analytics to ingest
large volumes of pharma transaction data, identify statistical outliers, and build dashboards to distinguish andclassify suspicious cases of potential opioid misuse.
Solution Architect: LU K E B I L B R O

W E DNE SD AY , M AY 26

12:30 PM – 1:00 PM PT

Building a Health Lakehouse
Healthcare and life sciences organizations generate petabytes of structured and unstructured data. By aggregating
this data into a health lakehouse, organizations can create a single longitudinal view of patient health. In this demo
we demonstrate how to build an OMOP common data model in delta and SQLA
Healthcare and Life Sciences, Technical Lead: A M I R K ERMANY

T H U RSD AY , M AY 27

2:40 PM – 3:10 PM PT

Solving the n+1 Problem in Genomics With Glow & Delta Lake
Glow is an open-source library for aggregating and mining genomics variant data on population scales. Here we will
demonstrate how to continuously integrate new genomes into Delta Lake, optimize them for querying, and performbioinformatics analytics.
Genomics Technical Lead: WI L L I A M B R A N DL E R#DataAISummit

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Interactive DemosT H U RSD AY , M AY 27

3:40 PM - 4:10 PM PT

Healthcare Claims Analytics for Health and Human Services
As more government entities move to deliver value-based healthcare outcomes, analyzing the cost and complexionof healthcare services has never been more timely. This demo takes a look at integrating disparate types ofhealthcare encounter claims and transforming them into a patient-centric model, which can then be analyzed along
different dimensions.
Genomics Technical Lead: C O L I N R I S L E R

T H U RSD AY , M AY 27

5:10 PM – 5:40 PM PT

Burning Through Electronic Health Records in Real Time With Smolder
Smolder is an open-source library for ingesting EHR data in HL7 format in real-time. In this demo we show how tocreate a bronze delta layer directly from streams of HL7 messages.
Solutions Architect: RYA N DE C O S M O

FR I DAY , M AY 2 8

11:50 AM – 12:20 PM PT

Improving Drug Discovery With QSAR Models at Scale
Modern drug discovery sifts through petabytes of structured data to deliver positive drug outcomes against
protein targets. In the past, this process leveraged specialty hardware and low level programming languages toachieve practical performance. In this demo, we demonstrate a paradigm shift from the older message passing
interface (MPI) structure of in-silico drug discovery to a distributed MapReduce data flow paradigm. Essentially, wedemonstrate how we can harness common cloud technologies to scale and speed up modern drug discovery.
Solutions Architect: M A R K L E E#DataAISummit

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Summit Healthcare and Life Sciences Checklist
Healthcare and Life Sciences ForumT HUR SD AY, MAY 27
11:00 AM – 1:00 PM PT: Keynote and Healthcare and Life Sciences Panel

Healthcare and Life Sciences Talks
W E D N E SDAY, MAY 26
11:30 AM PT: RWE & Patient Analytics Leveraging Databricks — A Use Case, Sanofi
3:15 PM PT: Advanced Natural Language Processing With Apache Spark NLP, John Snow Labs
4:25 PM PT: FlorenceAI: Reinventing Data Science at Human, Humana
4:25 PM PT : Drug Repurposing Using Deep Learning on Knowledge Graphs, Wisecube
5:00 PM PT : Wizard Driven AI Anomaly Detection With Databricks in Azure, Kavi Global

T HUR SD AY, MAY 27
11:35 AM PT: Empowering Real Time Patient Care Through Spark Streaming, Takeda
11:35 AM PT: How Machine Learning and AI Can Support the Fight Against COVID-19, Microsoft
3:15 PM PT: Entity Resolution Using Patient Records at CMMI, NewWave
4:15 PM PT: From Vaccine Management to ICU Planning: How CRISP Unlocked the Power of Data

During a Pandemic, Chesapeake Regional Information System for our Patients (CRISP)FR ID AY , MAY 28
10:30 AM PT: Towards Personalization in Global Digital Health, benshi.ai
10:30 AM PT: Drug and Vaccine Discovery: Knowledge Graph + Apache Spark, GlaxoSmithKline
11:05 AM PT: Managing R&D Data on Parallel Compute Infrastructure, ZS Associates
11:40 AM PT: Automatic ICD-10 Code Assignment to Consultations, Halodoc Technologies

Interactive DemosMAY 26, 11:30 AM: Predicting Opioid Misuse with Databricks and SQL Analytics
MAY 26, 12:30 PM: Building a Health Lakehouse
MAY 27, 2:40 PM: Solving the n+1 Problem in Genomics With Glow & Delta LakeMAY 27, 3:40 PM: Healthcare Claims Analytics for Health and Human Services
MAY 27, 5:40 PM: Burning Through Electronic Health Records in Real Time With Smolder
MAY 28, 11:50 AM: Improving Drug Discovery With QSAR Models at Scale#DataAISummit

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Ask an Expert
Healthcare and life sciences solutions tour and live AMA
T H U RSD AY , M AY 27

4:10 PM – 5:10 PM PT

If you’d like to learn more as a follow-up to any of the sessions, please reach out to your account manager tocoordinate.
• Healthcare and Life Sciences leaders and subject matter experts• Technical Experts of Data in Healthcare and Life Sciences• Solutions Architects who have helped hundreds of customers#DataAISummit#DataAISummit

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