Location: 13625 Technology Drive, Eden Prairie, MN 55344 (MN051 Building) 

Room 8

Neo4j Presentation 8:30-10:00am
Presenter: Jake Graham, Lead PM for AI and Graph Analytics, Neo4j 

Best practices in Graph Analytics Use Cases and Algorithms 10:00-11:30am
Presenters: Victor Lee, PhD, Director of Product Management / IP Management, TigerGraph & Abhishek Mehta, Director of Field Solutions, TigerGraph

Lunch 11:30am-12:30pm

From Data Lakes to the Data Fabric: Our Vision for Digital Strategy 12:30-2:00pm
Presenters: James M. Powers, DrPH, Sr. Dir. Health Care & Life Sciences, Cambridge Semantics & Ben Szekely, VP of Solution Engineering, Cambridge Semantics

Dgraph Presentation 2:00-3:00pm
Presenter: Manish Jain, Founder, Dgraph Labs

Solving Healthcare’s Dirtiest Data Problems 3:00-4:00 pm
Presenter: Denise Gosnell, PhD, Global Graph Practice Lead, DataStax

Room 7

Graph 101 8:30-9:25am
Dan McCreary, MS, MBA, Distinguished Engineer in AI and Graph, Optum

Graph Healthcare Use Cases 9:30am-10:00am
Ed Sverdlin, MBA, Sr. Director Advanced Technology Collaborative, R&D Optum

Modeling EMR and IOT Data in a Graph 10:00-10:40am
Alex Romano, Sr Manager and Tech Lead, Optum & Dan Barkus, IoT and Ambient Technologies Sr. Engineer, Optum

Load Automation Using Modern Build Tools 10:50-11:30am
Josh Meekhof, Sr Data Architect Optum & Jon Herke, Systems Engineer, Optum

Lunch 11:30am-12:30pm

Natural Networks – Graph classification, clustering and visualization 12:30-1:40pm
Adam Russell, PhD, Principal Engineer, OptumLabs

Customer Master Data Management – Reltio case study w/ focus on financial savings for customer MDM 1:45-2:30pm
Mick Ramczyk, Senior Director – Growth Technologies, Optum

Graph Analytics for Fraud Detection 2:35-3:30pm
India Duncan, Technical Product Manager, Optum

Filament 3:35-3:50pm
Sudeep Vishnumurthy, Dir, Software Engineering, Optum

1:00-5:00pm
Rooms 1&2
13625 Technology Drive, Eden Prairie, MN 55344 (MN051 Building)

Introduction to Azure Databricks with Data Science
With the rise of large biomedical datasets, many researchers are turning to cloud computing and scalable computing technologies like Apache Spark. In this talk, we will introduce the Azure Databricks Unified Analytics Platform, which simplifies the process of running Apache Spark on the Microsoft Azure cloud. We will then demonstrate how Apache Spark can be used to analyze a large corpus of data. By using Apache Spark, we can rapidly cluster patients based on lab values, providing insight into disease severity, progression, and provider efficacy.

Lead Presenter:  Frank Nothaft
Assisting Presenter:  Wesley Dias

Detecting Melanoma with Transfer Deep Learning
This presentation will showcase a bootstrapped TensorFlow pre-trained model (InceptionV3) being used to classify between three classes of images (melanoma, seborrheic, and normal) in order to aid in diagnosis of suspect images of abnormal skin conditions that could indicate carcinoma.

Key technologies employed: Spark Pipelines,Spark Deep Learning, Pandas, and SparkML Random Forest.
Transfer Deep Learning Demo

Lead Presenter: Ben Wilson, Yongsheng Huang
Assisting Presenters: Frank Nothaft, Christian Nimsch

Analyzing Medical Abstracts with NLP + Spark
This code demonstration shows how to ingest, parse, tokenize, vectorize, and apply an LDA model to medical texts, extracting important keywords to summarize the critical topics contained within corpuses of medical journals.

Key technologies employed: Spark NLP, LDA Models, and Spark Feature Engineering.
Medical NLP Demo

Lead Presenter: Ben Wilson, Yongsheng Huang
Assisting Presenters: Christian Nimsch, Wesley Dias

End-to-end analysis of genomic data using the Databricks UAP4Genomics
Genome sequencing data can provide an unprecedented lens into an individual’s disease risks, but the end-to-end analysis of large scale genomics data remains complex and expensive. In this workshop, we will walkthrough how the Databricks Unified Analytics Platform for Genomics (UAP4Genomics) simplifies the end-to-end process of turning raw sequencing data into actionable insights at population scale. We will demonstrate how to call variants in a single sample using our accelerated GATK4 pipeline, before using tools like Hail to characterize the association of variants in a population with clinical phenotypes. Once we identify variants that associate with phenotypes that we are interested in, we will then use machine learning to model genome-wide disease risk in a reproducible manner.

Key technologies employed: GATK4/Variant calling, Hail/Genotype-phenotype association tests, population scale risk-modeling via ML, ML model training/deployment

Lead Presenter: Frank Nothaft
Assisting Presenters: Karen Feng

2:00-4:00pm
Rooms 1&2
9900 Bren Road East, Minnetonka, MN 55343 (MN008 Building)

Informatica Intelligent Cloud (Integration-Platform-As-A-Service) Services: Enabling hybrid data management, migration of data and compute workloads to private or public cloud.

• Are you looking to leverage data that is spread across hybrid environments (Cloud applications/systems and On-Premise applications/systems) for your analytic use cases?
• Do you have plans for analytic platforms on Azure, AWS or private Cloud for either migrating compute workloads or storage?
• Are you looking to enable data scientists, analysts and business users to explore and manage in a complex hybrid environment?

Learn how Informatica Cloud Services (iPaaS, integration-Platform-As-A-Service) can be used to support the use cases above in this lab-style workshop.

During this session you will build out various use cases on Informatica Cloud involving data from Cloud and OnPremise systems.

Informatica Cloud is currently leveraged by multiple business units at UHG to manage data-loads across Cloud CRM and On-Premise systems.

Rooms 1&2
13625 Technology Drive, Eden Prairie, MN 55344 (MN051 Building)

Intel AI Update 8:30-9:15am
Want to accelerate AI workloads 10, 100 or 200 times faster on a ubiquitous Intel Xeon processor? We’ve got you covered. Find out the latest tools, techniques, resources, and roadmaps across Intel’s entire AI roadmap.

Speakers: Andy Bartley – Healthcare solution architect and Greg Reiff – Solution Engineer

Intel – Go faster with with FPGAs (101 Class) 9:15-10:00am
CPUs aren’t fast enough! What else do you have Intel? You’re in luck. Intel is meeting that challenge head on is with the use of FPGA or Field Programmable Gate Arrays. This technology allows YOU to create your own custom/dedicated hardware or processing functions from the edge to the cloud! “But I’m not an FPGA programmer???!!!” We’ve got you covered.

Through complete software infrastructure for deployment into the datacenter to high level design flows with AI frameworks like Caffe, Tensorflow and C++ and OpenCL flows – you know longer need to be an FPGA engineer to harness the power of FPGA based acceleration. Come to this introductory session and to see the world of possibilities and then stay for a deeper dive into OpenCL based acceleration.

Speaker: Jeff Nigh, FPGA Account Manager

Technical Deep dive – OpenCL Acceleration with FPGAs 10:00-10:45am
Scott, our local Minnesota guru in the Programmable Solutions Group will walk you through tips and tricks for OpenCL based acceleration on FPGAs. To truly harness FPGA acceleration with OpenCL you need to be armed with a little bit of knowledge to set up structures to release the parallel compute power available in the FPGA.

Speaker: Scott Prigmore, FPGA Guru

Database/Analytics Acceleration with FPGAs 10:45-11:30am
I need my database and analytics to go faster! HELP! This session will introduce you to solutions from Intel’s partners for enterprise based acceleration such as MySQL, PostgreSQL, MariaDB, Cassandra, Elasticsearch along with Spark and Hadoop acceleration. These partners solutions have done all the work creating custom acceleration functions for the FPGA along with the software to very seamlessly integrate into your current enterprise/analytics workflows. Drop in an FPGA and go!

Speaker: Jeff Nigh, FPGA Account Manager

Room 3
9900 Bren Road East, Minnetonka, MN 55343 (MN008 Building)

HANDS-ON-WORKSHOP: Come learn new skills that you can apply today!

Business Analytics have come a long way and the UHG Teradata environment has been leading the charge in leveraging all that you can do with your data. Today it is not enough to run simple reports but you need advanced analytics to understand not only what is happening, but when and where it is happening, and more importantly what are all the events that led to it happening.

In this Advanced Analytics workshop, you will leave with hands-on experience and guidance from Teradata Experts on the following topics:

• Leverage the newest capabilities available within the UHG Teradata environment.
• Gain insights from your data with Npath, Sessionization, and Time Series; giving you the ability to package and share your learning via AppCenter.
• See what’s possible with demonstrations of the Teradata Analytics Platform where new machine and graph engines are integrated to co-exist with your SQL engine.
• Bring your Laptop!!

Schedule:

• Continental Breakfast and Connect into hands-on Environment 8:00-9:00 am
• Breaking Bad: nPath and Attribution 9:00-10:30 am
• Break
• nPath and AppCenter 10:45-11:45 am
• Complimentary Lunch (Provided by Teradata)
• Time Series 12:30-2:00 pm
• Break
• TensorFlow and Teradata Analytics Platform 2:15-3:00 pm

Room 6
9900 Bren Road East, Minnetonka, MN 55343 (MN008 Building)

Eight Things You Need to Know About UDW! 8:30-Noon
This session begins with an introduction to five FACTS about UDW. Next you’ll preview a new Teradata business intelligence tool, Teradata Studio as well as take a closer look at Teradata Viewpoint and how it can help you monitor the performance of queries you build in UDW. Finally, watch a live demonstration of how you can easily bring together data that is co-located in the Teradata environment.

Co-Presenters include: UDW BPMO Representatives and Teradata

A UDW Onboarding Adventure 1:00-5:00 pm
Join us for this accelerated onboarding to UDW. Attendance at this session with satisfy the course completion requirements to gain access to this vital data asset. Learn about important tools and resources for new users. Get assistance with submitting your request for access.

Co-Presenters include: UDW BPMO Representatives

1:00-2:00pm
Where: Room 6
13625 Technology Drive, Eden Prairie, MN 55344 (MN051 Building)

Join Roland Miller, MS, Technology Principal Engineer at Optum for a hands-on programming exercise in Python.