Boston Cloudera Sessions

Presented by Amy O'Connor, Chief Data and Information 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 Shioulin Sam, Data Scientist, 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 Rich Sokolosky, Founder, Sentier Informatics 

Use case describing the approaches used, results delivered, and lessons learned in building the first marketing analytics data hub and marketing mix modeling platform for a top 25 global pharmaceutical company. You will walk away understanding the benefits of new approaches and insights, as well as lessons learned. 

We will cover:

• The data engineering and data science approaches and platforms required to deliver analytics and insights in "business time” and readily support follow-on and new customer analytics
• Client challenges with previous marketing mix efforts, applicable across industries and various data science efforts
• An overview of key marketing data hub and analytic innovations

Speakers:

• Kevi Karty, VP, Enterprise Data Apps, Altisource
• David Marsh, Chief Information Officer, People’s United Bank
• Mike Opal, ISV Lead, US East & Global Accounts, Amazon Web Services

Moderator:

• Amy O'Connor, Chief Data and Information Officer, Cloudera

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: Digital Transformation in Financial Services

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: 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.