Download our guide to Public Sector at Data + AI Summit to help plan your Summit experience.
The world is being transformed by data and today’s federal government realizes that they have fallen far behind the private sector. As a result, the President’s Management Office (PMO) has recognized the need to modernize their existing infrastructure, federate data for easier access and management, and approach to data and analytics by establishing mandates around modernization, data openness, and the progression of AI innovations.
At this year’s Data + AI Summit, we’re excited to announce a full agenda of sessions for data teams in the Public Sector industry. Leading innovators from across the industry – including Veteran’s Affairs, FBI, DoD, CMS, Booz Allen Hamilton and Hennepin County – are joining us to share how they use data to deliver on their mission objectives and better serve citizens.
Government Industry Forum
Building a smarter and more innovative government starts by unlocking the power of data analytics and machine learning. Join us on Wednesday, May 26 at 11:00 AM – 1:00 PM PST for our capstone Public Sector event at Data + AI Summit. Attendees will l have the opportunity to join keynotes and panel discussions with data analytics and AI leaders across the federal and local governments. Here’s a sneak peek at what we’ll cover:
In the Public Sector, it’s well-known that driving a successful big data initiative is more complex than it should be. Learn how the data team at Booz Allen tackled this problem by developing an innovative approach to big data and codified it into a reference architecture. You’ll also hear from data leaders at DoD and FBI about how they successfully implemented a big data strategy with Booz Allen on the Databricks Lakehouse Platform with outstanding results.
Through this platform, both the DoD and the FBI are able to more easily access all their data to feed analytics and ML use cases. More specifically, at the DoD, they are using advanced analytics to improve the financial health and compliance of their entire organization. In addition, Databricks has empowered the DoD to transform data for the purpose of decision analytics to impact business, operational and mission performance. You don’t want to miss this keynote!
In addition to our star-studded keynote session, we are pleased to announce an industry expert panel featuring data leaders from Hennepin County, Department of Veterans Affairs (VA) and the Centers for Medicare & Medicaid Services (CMS). Join this discussion as they share insights into their data journey and how Databricks has been core to modernizing their data infrastructure and unlocking new innovations with analytics and AI.
Public Sector Tech Talks
Here’s an overview of some of our most highly anticipated Public Sector sessions at this year’s summit:
Creating Reusable Geospatial Pipelines
Pacific Northwest National Lab
The Pacific Northwest National Lab is on the mission to expand the beneficial use of nuclear materials across the country. With massive volumes of geospatial data to process, they have developed data solutions on the Databricks platform to run traditional geospatial hotspot analysis. This talk will go over the pros and cons of various data and ML solutions and will show an actionable workflow implementation that any geospatial analyst can leverage.
Improving Power Grid Reliability Using IoT Analytics
Neudesic and DTE Energy
Electrical grid failures have impact and consequences that can range from daily inconveniences to catastrophic events. Ensuring grid reliability means that data is fully-leveraged to understand and forecast demand, predict and mitigate unplanned interruptions to power supply and efficiently restore power when needed. In this session, Neudesic, a Systems Integrator, and DTE Energy, a large electric and natural gas utility serving 2.2 million customers in southeast Michigan, share how they use the Databricks Lakehouse Platform to ingest large IoT datasets and predict sources and causes of reliability issues across DTE’s power distribution network. Because of this and other efforts, DTE has improved reliability by 25% year over year.
Consolidating MLOps at One of Europe’s Biggest Airports
The Royal Schiphol Group
At the Schiphol Airport, the opportunities to leverage data and AI are boundless — from predicting passenger flow to computer vision models that analyze what is happening around the aircraft. Join this talk as the data team at Schiphol Airport discusses how they rely on the Databricks Lakehouse Platform and MLflow to quickly iterate on models and monitor them actively to see if they still fit the current state of affairs. As a result, they are now able to release multiple versions of a model per week in a controlled fashion.
From Vaccine Management to ICU Planning: How CRISP Unlocked the Power of Data During a Pandemic
Chesapeake Regional Information System for our Patients (CRISP)
When the pandemic started, the Maryland Department of Health reached out to the Chesapeake Regional Information System for our Patients (CRISP), a nonprofit healthcare information exchange (HIE), with a request: get us the demographic data we need to track COVID-19 and proactively support our communities. As a result, CRISP employees spent long hours attempting to handle multiple data sources with complex data enrichment processes. To automate these requests, CRISP partnered with Slalom to build a data platform powered by Databricks and Delta Lake. This session focuses on how the power of the Databricks Lakehouse platform and the flexibility of Delta Lake has helped CRISP process billions of records from hundreds of data sources in an effort to combat the pandemic.
Entity Resolution Using Patient Records at CMMI
The Center for Medicare & Medicaid Innovation (CMMI) builds innovation models that test healthcare delivery and payment systems, integrating and parsing huge datasets with multiple provenance and quality. This instructional-style presentation will give into 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), the federal government agency that is also the nation’s largest healthcare payer. They’ll 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.
10 Things Learned Releasing Databricks Enterprise-Wide
Western Governors University
Four years ago, Western Governors University (WGU) took on the task of rewriting all of their ETL pipelines in Scala/Python, as well as migrating their Enterprise Data Warehouse into Delta Lake, all on the Databricks lakehouse platform. Today Databricks is being used by individuals of all skill levels, data requirements, and internal security requirements. In this session, their team will cover topics surrounding user management from both an AWS and Databricks perspective, understanding and managing costs, creating custom pipelines for efficient code management, learning about new Apache Spark snippets that helped save them a fortune, and more. They will also provide recommendations on how to overcome these pitfalls to help new, current and prospective users make their environments easier, safer, and more reliable to work in.
Check out the full list of Public Sector talks at Summit.
Demos on Popular Data + AI Use Case in Public Sector
Join us for live demos on the hottest data analytics and AI use cases in the public sector:
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 and classify suspicious cases of potential opioid misuse.
Detecting cyber criminals using ML, threat intel and DNS data
Learn how Databricks technologies can be used to augment and help scale Security Operations. In this no-jargon demo for security practitioners you will learn how to detect a remote access trojan – from data ingest to alerting – and the capabilities in the Databricks Lakehouse platform that can help security teams be more effective.
Healthcare Claims Reporting: Healthcare Claims Analytics for Health and Human Services
As more government entities move to deliver value-based healthcare outcomes, analyzing the cost and complexion of healthcare services has never been more timely. This demo takes a look at integrating disparate types of healthcare encounter claims and transforming them into a patient-centric model, which can then be analyzed along different dimensions.
Student Success: Understanding and Predicting Student Success
In today’s learning environment, more students than ever are learning through both in-person and digital means. This demo takes a look at the kinds of data often available to academic institutions and proposes a method for determining students who are at-risk of not matriculating, so that stakeholders can direct interventions and services to them to ensure the best educational outcomes.
Sign-up for the Public Sector Experience at Summit!
Make sure to register for the Data + AI Summit to take advantage of all the amazing Public Sector sessions, demos and talks scheduled to take place. Registration is free!