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 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.

Inova Translational Medicine Institute: Scalable Analytics in the Age of Personalized Health

Presented by Aaron Black, Chief Data Officer, Inova Translational Medicine Institute

• Describing the vision of personalized health
• Short Term Discovery: More data isn't always better
• Long Term Perspectives : Managing offensive and defensive perspectives of data and analytics in healthcare

Cloudera Fast Forward Labs: The Vision and the Challenge of Applied Machine Learning

Presented by Brian Goral, Business Manager, 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.

Breakout Sessions

Option 1: Healthcare Analytics
Option 2: Extend Your Analytics Toolkit with Computational Simulations

Option 3 - Federal Track: IT Modernization with Machine Learning and Data Science for the Enterprise

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: 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 3 - Federal Track: The Public Sector Data Journey Presenter