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You missed the event, but you can still access the insights

Although the Mountain View 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 - 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 Mick Hollison, Chief Marketing 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 - Intel Use Case: Leveraging Data and Insights for Transforming Business at a Global Scale

Presented by Anil Varhadkar, Enterprise Architect, Intel

In today’s fast-paced business world, making rapid, data-driven decisions is crucial to maintaining a competitive edge. Intel is transforming its legacy supply chain into a modern “glass pipeline” that improves decision making capabilities and business agility, a transformation project with an estimated ROI of $208 million. Join Intel and Cloudera for a conversation on leveraging data and insights to transform business and delivering results at a global scale.


10:15am - 10:40am - Break

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

Presented by Nisha Muktewar, 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 - Western Union Use Case: Cloudera Navigator & GDPR

Presented by Deepak Murthy, Big Data & Analytics Manager, Western Union Digital

11:30am - 12:00pm - Keynote Panel Discussion


  • Mick Hollison, Chief Marketing Officer, Cloudera


  • Seiji Akiyama, Managing Director, Data & Analytics, AAA
  • Rajan Gangadharan, Director, Big Data & Analytics, Western Union Digital
  • Thomas Hogan, Director, Enterprise Data Management, Sutter Health
  • Nisha Muktewar, Data Scientist, Cloudera Fast Forward Labs

12:00pm - 1:00pm - Lunch


Afternoon breakout sessions


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

Options 1: Inside Cloudera Enterprise

Presented by William Fox, Sales Engineer, Cloudera

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


Option 2: Analytics and BI

Presented by Jessie Lin, Sales Engineer, Cloudera

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.

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

Option 1: Machine Learning & Streaming Analytics for IoT

Presented by Phue Nguyen, Sales Engineer, Cloudera

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 partner, RedHat, drives some of the most compelling IoT use cases. We will dig deeper into our key differentiators and enablers for IoT, like real-time streaming analytics powered by Kudu, and will share real-life customer use cases and success stories.


Option 2: Integrated Machine Learning + Data Science

Presented by Suyash Ramineni, Sales Engineer, Cloudera

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.

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


Mick Hollison Chief Marketing Officer, Cloudera
Seiji Akiyama Managing Director, Data & Analytics, AAA
Tom Hogan Director, Enterprise Data Management, Sutter Health
Deepak Murthy Big Data & Analytics Manager, Western Union Digital
Nisha Muktewar Data Scientist, Cloudera Fast Forward Labs
Bill Fox Sales Engineer, Cloudera
Suyash Ramineni Sales Engineer, Cloudera
Jessie Lin Sales Engineer, Cloudera
Anil Varhadkar Enterprise Architect, Intel


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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