It happens in Sydney, Australia on 6 October 2017

Cockle Bay Wharf, Sydney NSW 2000, Australia

Join us for Cloudera Sessions 2017, where data professionals from ANZ gather to discuss some of the hottest topics in the digital age. The session will cover various topics from Cloud, Internet of Things, Big Data Analytics, Machine Learning to Artificial Intelligence (AI). Learn from the customers who have walked this journey, and partners who have helped customers achieved the big data success. If you want to get technical, we have deep dive sessions in the afternoon where you can learn more and talk to the experts. Cloudera session is a place to network with like-minded professionals and learn how others have used data-driven insights to grow businesses, improve efficiencies, and manage risk.


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Morning Session - for business decision-makers


8:00am – Registration

9:00am – Welcome by Country Manager, Shyam Sundar

9:05am - Cloudera Keynote: Powering Possibilities by Steven Totman

Businesses and organizations of all sizes are suddenly flooded in data from a hyper-connected world and need solutions to analyse 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.

9:30am – Presentation by Erika Harris, Cloud Solution Architect – Analytics & AI, Microsoft

10:00am – Presentation by Murad Khan, Principal at Deloitte

10:30am – Coffee Break

10:45am – Panel Discussion: Turning Data into Real Business Value

11:30am – Roundtable Discussions

12:30pm – Lunch


Afternoon Session - for technical decision-makers


13:10pm – Cloudera in the Cloud

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.

13:50pm – Data Science in the Enterprise

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.

14:20pm - Close & Social


Shyam Sundar Srinivasan Country Manager, ANZ Cloudera
Steven Totman Financial Services Industry Lead, Cloudera
Erika Harris Cloud Solution Architect – Analytics & AI, Microsoft
Ronnie Guha Artificial Intelligence, Big Data & Cognitive Services Sales Specialist, Microsoft
Murad Khan Principal, Deloitte
Kunal Taneja Sales Engineering Manager at Cloudera, A/NZ
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John Osborn POINTNEXT Solution Architect - Big Data
Jayant Prabhu Vice President, Big Data Analytics, Wipro Limited
Paul Wolmering Director of Worldwide Technical Sales and Customer Success, Cazena


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…

Your machines are learning–don’t be left out. Discover how to manage and analyze the data coming from them.

Local companies are deriving real value from their data. They’ll share their stories on how they did it.


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.

There will be plenty of opportunity to interact with technical experts and our partners at the Ask The Expert panel.


Meet the who’s who of local and like-minded data innovators.