It happens in Washington, D.C. on July 31

Ronald Reagan Building and International Trade Center, 1300 Pennsylvania Ave NW, Washington, DC 20004

Join us for Cloudera Sessions 2018, where D.C.'s smartest data professionals will be discussing many of the newest use cases for machine learning and artificial intelligence (AI)—ranging from predictive maintenance and fraud detection to product recommendation engines and proactive customer support. Come gain firsthand experience into how experts like yourself are using data-driven insights to grow businesses, improve efficiencies, and manage risk.


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8:30am - 9:00am - Breakfast

9:00am - 9:10am - Welcome and kick-off

9:10am - 9:45am - Cloudera Keynote: Machine Learning, Artificial Intelligence (AI), and the Future of Big Data Analytics

Presented by Amy O'Connor, Chief Data and Information Officer, Cloudera

Businesses and organizations of all sizes are suddenly flooded with data from a hyper-connected world and need solutions to analyze and act upon it. Machine Learning and Artificial Intelligence (AI) have emerged to help understand patterns in the data, predict outcomes, and prescribe the optimal actions to impact those outcomes. New use cases for machine learning are emerging every day – ranging from predictive maintenance and fraud detection to product recommendation engines and proactive customer support. Gain first-hand experience into how some of the world’s best organizations are using data-driven insights to grow their businesses, operate more efficiently and manage risk.

9:45am - 10:05am - Customer use case

Presented by Aaron Black, Chief Data Officer, Inova Translational Medicine Institute

  • Describing the vision of personalized health
  • Short Term Discovery: More data isn't always better
  • Long Term Perspectives : Managing offensive and defensive perspectives of data and analytics in healthcare

10:15am - 10:40am - Break

10:40am - 11:10am - Cloudera Fast Forward Labs: The Vision and the Challenge of Applied Machine Learning

Presented by Brian Goral, Business Manager, Cloudera Fast Forward Labs

Even with the incredible advances in Data Science, Machine Learning, and AI, general off-the-shelf software does not solve your specific business challenges. Just having large volumes of data isn’t enough. Tapping into and creating expertise in the implementation and operationalization of ML, along with adopting strategic views on ML in your firm, are now a vital tools for building competitive data products and achieving short- and long-term ROI in ML.

11:10am - 11:30am - Customer use case: CareFirst/SBP

Presented by Narendra Kambam, Director, Healthcare Analytics at CareFirst BlueCross BlueShield

11:30am - 12:00pm - Panel Discussion: The Road to Transformation: Accelerating Mission Success

12:00pm - 1:00pm - Lunch


Afternoon breakout sessions


1:00pm - 2:00pm - Breakout Sessions

Option 1: Healthcare Analytics


Option 2: Extend Your Analytics Toolkit with Computational Simulations

Over the past 5 – 10 years financial institutions have made significant progress on their Big Data journeys. We have travelled through a period where data has been made more accessible through the adoption of data lakes and we have now moved on to looking for patterns in that data using AI and ML. These patterns are used to project into the future resulting into predictive analytics. However, this type of statistical analysis makes some big assumptions, such as past history being an indicator of future behaviors. As they look to make more informed decisions many organizations are moving towards prescriptive analytics, where the intelligence that has been gathered from data is used to simulate many possible futures. In this way we can move from intelligence to wisdom.


Federal Track to be announced

2:00pm - 3:00pm - Breakout Sessions

Option 1: Advanced Analytics & BI

Whether it's around empowering analysts with self-service flexibility; running the business through real-time dashboards; migrating to cloud environments; or advancing insights with more complex workflows and data science, the requirements for business intelligence and analytics are rapidly changing. In this session, we will cover the key drivers for modernizing analytics, the supporting technologies and capabilities, and how you can ultimately get more value from your data all at a lower cost.

Option 2: Machine Learning & Streaming Analytics for IoT

Learn more about how our customers are using data analytics and machine learning to power IoT. As part of this session you can learn more about how Cloudera together with our partners are driving some of the most compelling IoT use cases, dig deeper into our key differentiators and enablers for IoT, like real-time streaming analytics powered by Kudu, and listen to real-life customer use cases and success stories.


Federal Track to be announced


3:00pm - 4:00pm - Happy Hour


Amy O'Connor Chief Data and Information Officer, Cloudera
Charles Worthington Chief Technology Officer, U.S. Department of Veteran Affairs
Dave Shuman Industry Leader, IoT & Manufacturing, Cloudera
Brian Goral Business Manager, Cloudera Fast Forward Labs
Tim Solms Vice President & GM, U.S. Public Sector, Cloudera
Narendra Kambam Director, Healthcare Analytics, CareFirst/SBP


Top 5 reasons to attend Cloudera Sessions 2018

Why should you spend the day with us? Here are the top 5 reasons to attend Cloudera Sessions…

Your machines are learning–don’t be left out. Discover how to manage and analyze the data coming from them.

Local companies are deriving real value from their data. They’ll share their stories on how they did it.


There's buzz and then there's information you can use back at work. You'll get the latter with 3 hands-on breakout sessions and a deep dive keynote on machine learning and AI.

There will be plenty of opportunity to interact with technical experts and our partners at the Ask The Expert panel.


Meet the who’s who of local and like-minded data innovators.