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Register to download the presentations

Although the Boston Cloudera Session is over, you can still register to download presentations from the best one-day event for data professionals, by data professionals. Learn about 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.

Download the presentations here

Attend an upcoming session


8:30am - 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 in 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: Altisource - Enterprise Data Hub

10:10am - 10:40am - Break

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

Presented by Shioulin Sam, Data Scientist, 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: Sentier - Building a Marketing Analytics Data Hub

Presented by Rich Sokolosky, Founder, Sentier Informatics 

Use case describing the approaches used, results delivered, and lessons learned in building the first marketing analytics data hub and marketing mix modeling platform for a top 25 global pharmaceutical company. You will walk away understanding the benefits of new approaches and insights, as well as lessons learned. 

We will cover:

  • The data engineering and data science approaches and platforms required to deliver analytics and insights in "business time” and readily support follow-on and new customer analytics
  • Client challenges with previous marketing mix efforts, applicable across industries and various data science efforts
  • An overview of key marketing data hub and analytic innovations

11:30am - 12:00pm - Customer Panel: Turning Data into Real Business Value


  • Kevi Karty, VP, Enterprise Data Apps, Altisource
  • David Marsh, Chief Information Officer, People’s United Bank
  • Mike Opal, ISV Lead, US East & Global Accounts, Amazon Web Services


  • Amy O'Connor, Chief Data and Information Officer, Cloudera


12:00pm - 1:00pm - Lunch


Afternoon breakout sessions


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

Option 1: Integrated Machine Learning & Data Science

Machine Learning is not new - but it is driving new use cases every day. In this session, learn how to avoid common pitfalls and instead use data science and machine learning to deliver real value.

Option 2: Digital Transformation in Financial Services

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: Inside Cloudera Enterprise

From cloud and hybrid capabilities to enterprise governance and security: why Cloudera Enterprise is the right platform for your machine learning and analytics workloads.

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


Amy O'Connor Chief Data and Information Officer, Cloudera
Shioulin Sam Data Scientist, Cloudera Fast Forward Labs
David Marsh Chief Information Officer, People's United Bank
Rich Sokolosky Founder, Sentier Informatics
Kevin Karty VP Analytics Innovation, Altisource Labs
Amit Agrawal Sr Data Architect, Altisource Technology


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.

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