Houston Cloudera Sessions

Presented by Amr Awadallah, Chief Technology 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.

Presented by: Caroline Bailey, Analytics Service Delivery Lead, Chevron

Key lessons Chevron has learned of what is necessary to make the transformative leap in analytics capability from basic tinkering to an effective industrial-scale program.

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.

Panel moderator:

Adam Taylor, Senior Director, Professional Services, Cloudera

Speakers:

• Mark Ferman, Former Vice President, Chesapeake Energy 
• David Tong, Big Data and Advanced Analytics Strategist, Chevron

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: Leverage the Cloud with Cloudera

Join Cloudera and Microsoft to see how we enable your organization to leverage Public Cloud platforms (Microsoft Azure) with the enterprise grade features required for successful data platform workloads.

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.

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 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.