It happens in Seattle, Washington on June 20, 2017

W Hotel, 1112 4th Ave, Seattle
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Join us for Cloudera Sessions 2017, where Seattle'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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Agenda

 

Morning Session - for business decision-makers

 

8:00am - Breakfast in the Partner Pavilion

8:30am - Cloudera Keynote: Machine Learning, Artificial Intelligence (AI), and the Future of Big Data Analytics

Presented by Charles Zedlewski, SVP, Products, 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.

9:10am - Empowering Data Driven Decisions

Presented by Mark Derry, Team Lead, Technical Analytics, Nexen Energy

How do we make data easy enough to use for everyday decisions when you have billions of rows of data?

 

9:30am - Five Considerations to Modernizing Your Data Architecture

Presented by Amit Rawlani, Technology Alliances & Solutions Manager, Pentaho

Everyone is talking about modernizing data architectures. For most part, everyone agrees a data hub forms the central component of this strategy, but practical questions and challenges in the getting it right, remain. The key to a successful transformation comes down to how data hubs are implemented and managed.

9:50am - Coffee break in the Partner Pavilion

10:20am - Advanced Analytics & Data Management for the Internet of Things

Presented by John Darrah, Sales Engineering Manager, Cloudera

With 20-30 Billion things connected by 2020, IoT has the potential to be one of the most disruptive technological advances in recent ages. However without the right data management strategy, investments in IoT can yield limited results. Learn more about the data management considerations & architecture for IoT and how our customers are using Cloudera to drive some of the most compelling IoT use cases.

10:40am - Panel Discussion: IT Modernization

Speakers:

  • Mark Derry, Team Lead, Technical Analytics, Nexen Energy
  • Peter Dolina, Data Architect, Cloudera Customer
  • Jin Kim, Solutions Architect, Classmates.com
  • Oleg Vysotsky, Senior Software Engineer, Zillow
  • Charles Zedlewski, SVP, Products, Cloudera
  • Todd Laurence, Regional Sales Director, Cloudera (moderator)

11:20am - Lunch

 

Afternoon Session - for technical decision-makers

 

11:20am - Lunch

12:05pm - Cloudera Technical Keynote: Let's Tech This Up a Notch

Presented by Digby Norris, Senior Sales Engineering Manager, Cloudera

Data is the fuel for strategic differentiation in today’s market. However, legacy systems weren’t designed to keep up with the influx of data from a hyper-connected world, nor can they  support the real-time insights that provide value to the business. Companies must evolve or risk being left behind by competitors that are implementing machine learning and artificial intelligence or migrating applications and infrastructure to the cloud. Find out how a modern platform for data science, analytics, operations, and real-time applications can transform data into your most valuable business asset.

12:45pm - Ask the Experts Panel

Join this open Q&A session with a few of our strategic partners who are instrumental in helping our customers make the impossible today, possible tomorrow.

Speakers:

  • Joe Abrams, Regional Sales Manager, West, Search Technologies
  • Viplava Madasu, Big Data Systems Engineer, Hewlett-Packard Enterprise
  • Dave Normandeau, American Sales & Global Business Development, Big Data, Syncsort
  • Rupal Shah, Field Engineer, Streamsets
  • Melinda Amoratis, Director, Strategic Alliances, Cloudera (moderator)

 

1:15pm - Coffee break in the Partner Pavilion

1:45pm - Breakout Sessions (Track A: Cloudera in the Cloud; Track B: Modernizing BI & Analytics)

Track A: Cloudera in the Cloud

Presented by Brandon Kvarda, Sales Engineer, Cloudera

From speeding deployment times, to lowering TCO, to driving greater workforce agility, cloud infrastructure can deliver a number of benefits back to your business. In this session, we will cover how to run your Hadoop workloads on public cloud, optimizing for cluster transience, elasticity, object-store integration, and flexible pricing.

Track B: Modernizing BI & Analytics

Presented by Michel Harding, Sales Engineer, Cloudera

Business intelligence and analytics continue to be the lifeblood of business. But many enterprises are stuck in a pattern of simply trying to keep up with the status quo, instead of shifting for the future to take on new and changing data types, get real-time insights, and optimize for the cloud. In this session, we will cover the key drivers for modernizing the analytic database, the technologies that bring high-performance SQL to big data, and how you can ultimately get more value from your data all at a lower cost.

2:40pm - Breakout Sessions (Track A: Data Science in the Enterprise; Track B: Cloudera in the Cloud)

Track A: Data Science in the Enterprise

Presented by Samir Gupta, Sales Engineer, Cloudera and Yong Kim, Data Science Consultant, DataRobot

Self-service data science is easier said than delivered, especially on Apache Hadoop. Most organizations struggle to balance the diverging needs of the data scientist, data engineer, operator, and architect. This talk will cover the underlying root causes and introduce new capabilities being developed to make self-service data science a reality.

Track B: Cloudera in the Cloud

Presented by Brandon Kvarda, Sales Engineer, Cloudera

From speeding deployment times, to lowering TCO, to driving greater workforce agility, cloud infrastructure can deliver a number of benefits back to your business. In this session, we will cover how to run your Hadoop workloads on public cloud, optimizing for cluster transience, elasticity, object-store integration, and flexible pricing.

3:25pm - Happy Hour

4:25pm - Adjourn

Speakers

Charles Zedlewski Senior Vice President, Products, Cloudera
Mark Derry Team Lead, Technical Analytics, Nexen Energy
Amit Rawlani Technology Alliances and Solutions Manager, Pentaho
Digby Norris Senior Manager, Sales Engineering, Cloudera
Todd Laurence Regional Sales Director, Cloudera
Melinda Amoratis Director, Strategic Alliances, Cloudera
David Normandeau American Sales & Global Business Development, Big Data, Syncsort
Rupal Shah Solutions Architect, Streamsets
Viplav Madasu Big Data Systems Engineer, Hewlett-Packard Enterprise
Oleg Vysotsky Senior Software Engineer, Zillow
Peter Dolina Data Architect, Cloudera Customer

Sponsors

Top 5 reasons to attend Cloudera Sessions 2017

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

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

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

 

Empower
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.

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

 

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