Cloudera Sessions Detroit

Presented by Dave Shuman, Industry & Solution Leader: IoT & Manufacturing, 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.

Presented by Anthony Reid, Senior Manager, Analytics, Komatsu

Presented by Ryan Micallef, Research Engineer, 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.

Presented by Tricia Bieniek, Program Director, Ally Financial

Moderator: Dave Shuman, Industry & Solution Leader, Cloudera

Speakers:

• Tricia Bieniek, Program Director, Ally Financial
• Laura Comiskey, Director, Microsoft
• Anthony Reid, Senior Manager, Analytics, Komatsu
• Joshua Witt, Big Data Hadoop Team Lead, Meridian Health

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.

Options 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

Option 1: 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.

Option 2: Cloudera in the Public Cloud

Public cloud presents a compelling opportunity to make analytics more agile and self-service. Yet most organizations are looking to reduce risk, and costs by pursuing hybrid- and multi-cloud environments. Learn how Cloudera complements public cloud services and preserves customer choice.