It happens in Mountain View, California on August 15, 2017

Computer History Museum, 1401 N Shoreline Blvd, Mountain View, CA
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Join us for Cloudera Sessions 2017, where Mountain View'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 Tom Reilly, Chief Executive 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.

9:10am - Native Visual Analytics for Big Data presented by Arcadia Data

Presented by Steve Wooledge, VP, Marketing, Arcadia Data

Businesses today are challenged by legacy BI and data visualization tools that analyze only a subset of big data extracted from Apache Hadoop and are delayed by batch updates. As a result, business insights are stalled in multiple areas of the discovery process as storage, compute, and visualization tools are fragmented, costly, and cumbersome to manage. Learn how modern organizations are "going native" with new visual analytics software that runs directly within modern data platforms in Hadoop and the cloud and allow you to find insights within all your data. The result? Powerful, visual analytics with real-time dashboards and rich data visualization for large-scale data applications in cybersecurity, connected cars, customer intelligence, regulatory compliance, and more. 

9:30am - Global Digital Identity with Cloudera & SPARK presented by Drawbridge

Presented by Gargi Adhav, Senior Director, Engineering, Drawbridge

9:50am - Coffee break in the Partner Pavilion

10:20am - Driving Better Products with Customer Intelligence presented by RingCentral

Presented by Michael Becker, Senior Manager, Big Data, RingCentral

10:40am - Permission to Use the Data You Have presented by FireEye

Presented by Alex Rivlin, Senior Manager, Engineering, FireEye

Growing data volume poses challenge to effectively deriving value from the data you already have. In this presentation, Alex Rivlin will share how migration to Hadoop platform enabled company to re-gain access to its own data at a much larger scale.

11:00am - Customer Panel Discussion

Moderator:

  • Steve Tuohy, Senior Manager, Customer Advocacy, Cloudera

Speakers:

  • Gargi Adhav, Senior Director, Engineering, Drawbridge
  • Michael Becker, Senior Manager, Big Data, RingCentral
  • Alex Rivlin, Senior Manager, Engineering, FireEye

11:30am - Lunch

 

Afternoon Session - for technical decision-makers

 

11:30am - Lunch

12:10pm - Cloudera Technical Keynote: Let's Tech This Up a Notch

Presented by Charles Zedlewski, SVP, Products, 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.

12:50pm - 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:

  • Rochelle Grubbs, Manager, Sales Engineering, Syncsort
  • Sean Ma, Director, Product Management, Trifacta
  • Nitin Motgi, Founder and CTO, Cask
  • Ranga Nathan, Principal Product & Solutions Manager, Big Data, Hewlett-Packard Enterprise
  • Mike Moreno, Senior Partner Marketing Manager, Cloudera (moderator)

1:20pm - 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 Craig Clow, 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 and Ian Fyfe, Senior Director, Product Marketing, Zoomdata

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: Apache Kudu 101)

Track A: Data Science in the Enterprise

Presented by Suyash Ramineni, Sales Engineer, Cloudera and Gourab De, Regional VP, Customer-facing Data Science, 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: Introduction to Apache Kudu

Presented by Michael Crutcher, Director, Product Manager, Cloudera

Engineered to take advantage of next-generation hardware and in-memory processing, Kudu is specifically designed for use cases that require fast analytics on fast (rapidly changing) data. Learn how the high-demand workloads in place today, which include a growing number of new machine-learning models, can identify cybersecurity threats, predict maintenance issues in the Industrial Internet of Things (IIoT), and bring much more accuracy to all types of online reporting.

3:30pm - Happy Hour

4:30pm - Adjourn

Speakers

Tom Reilly Chief Executive Officer, Cloudera
Charles Zedlewski Senior Vice President, Products, Cloudera
Mike Moreno Senior Partner Marketing Manager, Cloudera
Ian Fyfe Senior Director Product Marketing, Zoomdata
Michel Harding Sales Engineer, Cloudera
Steve Wooledge VP, Marketing, Arcadia Data
Gargi Adhav Senior Director, Engineering, Drawbridge
Gourab De Regional VP, Customer-facing Data Science, DataRobot
Rochelle Grubbs Manager, Sales Engineering, Syncsort
Steve Tuohy Senior Manager, Customer Advocacy, Cloudera
Nitin Motgi Founder & Chief Technology Officer, Cask
Sean Ma Director, Product Management, Trifacta
Juli Hansen Senior Account Executive, Cloudera
Alex Rivlin Senior Manager, Engineering, FireEye

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.