Watch the smartest data professionals discuss many of the newest use cases for machine learning and artificial intelligence (AI)—ranging from predictive maintenance and fraud detection to product recommendation engines and proactive customer support.
Presented by Dr. Amr Awadallah, CTO and Co-founder, Cloudera
Businesses and organisations 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 organisations are using data-driven insights to grow their businesses, operate more efficiently and manage risk.
Presented by Brian Goral, Technical Product Manager, Cloudera Fast Forward Labs
The Machine Learning-Focused team, Cloudera Fast Forward Labs (CFFL), recently joined the company to support application of emerging ML research to Cloudera client use cases and to help deliver on the growth of Cloudera as an advanced analytics platform. From a vantage point at the intersection of academia, enterprise, and the startup world, the CFFL team takes on three roles in their work: Applied ML Research, Client Advising, and Building Products.
Presented by Ryan den Rooijen
Presented by Wim Stoop, Senior Technical Marketing Manager EMEA and Drystan Davies-Knight, Projects Director at Davies Knight Ltd.
This session will explore how a modern approach to data and analytics can be used to reduce costs and simplify processes. Learn how a solution focused and lean approach that focuses on specific use cases can accelerate your progress and expedite the time it takes to drive value from data.
Presented by Joao Cerqueira, Big Data Architect, Perform Group and Chris Royles, Systems Engineer, Cloudera
Explore the topic of data science in-depth and discover how it can be used to power machine learning with customer examples. This session will also include a live demonstration of Cloudera Data Science Workbench.
Presented by Matt Aslett, Research Director, 451 Research
Organisations across the globe increasingly view the cloud as a way to reduce storage costs, improve the flexibility of infrastructure, and speed-up their data and analytics processes. Machine learning, IoT and other large-scale data processing technologies are arguably an especially good fit for cloud, and as an increasing amount of data is stored in the cloud, so further data and analytics workloads are attracted to the cloud. With multiple options available - public, private and hybrid cloud - what do organisations need to consider to ensure they select the best execution venue for a particular workload? And how can they avoid becoming ‘locked-in’ with any one provider?
Facilitator: Wim Stoop, Senior Technical Marketing Manager EMEA, Cloudera
Companies are increasingly looking to the cloud to drive innovation and reduce infrastructure costs but with public, private and hybrid clouds available how should an organisation shape its approach for the most effective business driven solution.
Presented by Dan Croft, Systems Engineer, Cloudera
Microsoft Azure is an open, flexible, enterprise-grade cloud computing platform for a raft of IaaS as well as PaaS solutions. What's more, Azure offer a host of open source systems and applications. For Cloudera, it's a first class platform for both Director and Altus. Attend this session to learn how Cloudera and Azure offer the perfect, easy and cost-effective combination for any data workload in the cloud.
Presented by Simon Sandford-Taylor, Chief Technology Officer, Office for National Statistics
The Office of National Statistics (ONS) serves as the UK's largest independent producer of official statistics and is the recognised national statistical institute of the UK. In this session, Simon Sandford-Taylor will share their journey with data science which is already beginning to revolutionise analytics and present exciting opportunities for the future.
Presented by Jason Perkins, Head of Business Insight & Analytics Architecture, BT
As one of the world's leading communications services companies BT is at the forefront of the data age. As an early adopter of big data and associated technologies the team at BT is already driving value through lower infrastructure costs and better understanding of customer interactions across the business. Jason Perkins will share details on the journey with Cloudera to date and the plans to democratise data for BT's 100,000+ employees.
Presented by Pauline Pechberty, EMEA Managing Counsel, Cloudera
Colm Moynihan, Partner Systems Engineering Manager EMEA, Cloudera
Louis Polycarpou, Presales Manager, Big Data Technologies, Informatica
For the majority of organisations, the goal of GDPR compliance presents an enterprise-wide business problem — a massive cross-departmental effort that impacts technology, processes and people. Join this session to understand how the Cloudera platform can simplify your approach to GDPR.
Presented by Katharine Jarmul, Data Scientist and Founder Kjamistan
Data is the new oil, right? Bigger data and the decisions garnered from it can make or break a business. But with big data, comes organisational and processing hassle along with data provenance and jurisdiction nightmares. With the new EU privacy regulation, GDPR, companies will be expected to process and store their data in an organized, labeled and properly secured manner. A nightmare? Hopefully not! Being a good data maintainer in the eyes of the new regulation has plenty of advantages, including better documentation and data access for your teams, more ethical data gathering, fewer imbalanced models and satisfied customers.