Cloudera Sessions London

12th December 2017 at Old Truman Brewery
From 8:00 to 18:30

Join us for Cloudera Sessions 2017, where Europe's smartest data professionals will be discussing 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. Come gain firsthand experience into how experts like yourself are using data-driven insights to grow businesses, improve efficiencies, and manage risk.

 

 

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Add to calendar 2017-12-12 08:00:00 2017-12-12 18:30:00 Europe/London Cloudera Sessions London Join us for Cloudera Sessions 2017, where Europe's smartest data professionals will be discussing 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. Come gain firsthand experience into how experts like yourself are using data-driven insights to grow businesses, improve efficiencies, and manage risk. Old Truman Brewery, 091 Brick Ln, London, E1 6QR






Plenary session

The plenary session will primarily focus on the way machine learning and cloud are impacting on leading businesses in the world today. Featuring data innovators, industry experts and leading data-driven organisations.

08:00-09:00 Registration

Go to the registration desk to collect your badge and grab a tea or coffee with our sponsors before making your way to the conference room for the keynote sessions from Cloudera, Intel, 451 Research, the Office for National Statistics and more.

09:00-09:05 Welcome and introduction

Stephen Line, Regional Vice-President, Cloudera will welcome delegates, outline the agenda for the day and share more detail on the themes of the event.

Presented by Stephen Line, Regional Vice-President North EMEA, Cloudera

09:05-09:35 Keynote - Machine Learning, Artificial Intelligence (AI), and the Future of Big Data Analytics - 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 Dr. Amr Awadallah, CTO and Co-founder, Cloudera

09:35-09:50 Keynote - Intro to Cloudera Fast Forward Labs - our work and research solving applied ML challenges

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 Brian Goral, Technical Product Manager, Cloudera Fast Forward Labs

09:50-10:05 Keynote - Inside AI: Technologies fueling Advanced Analytics Workflows and Applications - Intel

The tremendous amount of data produced by devices and sensors contains incredible insight and value once analysed and interpreted especially if in real time. Traditional analytics consists of Descriptive, Diagnostic and Predictive analytics, while Artificial Intelligence plays an increasingly important role at the upper echelon of advanced analytics including Predictive, Prescriptive, and Cognitive analytics. One of the best examples of the data deluge driving huge compute requirements and requiring AI solutions is automated driving. In this presentation we will review a full stack of end to end AI technologies and products for building AI solutions at enterprise scale with our fellow travelers.

Presented by Natalia Poliakova, Global Account Director, Intel Corporation

10:05-10:30 Keynote - 451 Research: Key considerations for selecting a best execution venue for data in the cloud

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?

Presented by Matt Aslett, Research Director, 451 Research

10:30-11:00 Networking break

Take a short break after the keynote sessions and refuel with tea, coffee and snack in the exhibition area. Spend time with our sponsors and learn how they work with Cloudera to help you get value from all of your data.

11:00-11:20 Guest speaker - Stefanie Posavec, co-author of ‘Dear Data’: ‘Cold’ data, warm heart

As a designer, Stefanie uses data-gathering and data-visualisation as a design process, taking seemingly ‘cold’ data and using it to create warm, subjective and often emotional projects that fall on the borders between data visualisation, design, and art. She will talk about her explorations in making data more engaging, memorable, and accessible to a lay audience and will show how in an era of ever-increasing data, we can – through channelling our inner 'anoraks’ – begin to view data not as something ‘big’, but something small, personal, and intrinsic to the human experience.

Presented by Stefanie Posavec, co-author of ‘Dear Data’

11:20-11:40 ONS helps UK government make better decisions with data science

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 Simon Sandford-Taylor, Chief Technology Officer, Office for National Statistics

11:40-12:00 Data transformation: The devil's in the detail

Presented by Ryan den Rooijen

12:00-12:20 Data democratisation and self-service analytics at 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 Jason Perkins, Head of Business Insight & Analytics Architecture, BT

12:20-12:40 GDPR: what are the advantages of the new regulation?

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.

Presented by Katharine Jarmul, Data Scientist and Founder Kjamistan

12:40-13:10 Panel discussion: Cloud

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.

Facilitator: Wim Stoop, Senior Technical Marketing Manager EMEA, Cloudera
Panellists:

  • Dr. Amr Awadallah (Cloudera)
  • Matt Aslett (451 Research)
  • Jason Perkins (BT)
  • Toby Waldock (Deloitte)
  • Jonathan Baker (Simudyne)

13:10-13:15 Summary of the plenary session

Presented by Stephen Line, Regional Vice-President North EMEA, Cloudera

13:15-14:00 Networking lunch

Head to the exhibition area for lunch and share your learnings from the event so far with your peers and sponsors. Discover some of the latest solutions in the world of data and analytics and discover how to power possibilities in your organisation.

Breakout sessions

14:00-14:45 Breakout session one (click to expand)

Theme: Modernise IT Breakout room A: How to build a data platform for value

Never before has the data and analytics landscape been more exciting. Data derived insight lets organisations innovate, differentiate and create value. With the renewed interest in machine learning, adoption of cloud technology as well as growth of open source software, businesses now have more building blocks than they ever thought possible to do just that. In this session, Deloitte will take you through the processes and strategies organisations must consider when deploying their data and analytics platform.

Presented by Adrien Arculeo, Senior Manager - Big Data Architecture Lead, Deloitte


Theme: Customer insights Breakout room B: Stop looking at a fraction of your customer data and gain access to 100%

You don’t use legacy data platforms to store big data, you use Cloudera. Having diligently ingested a variety of business critical data from multiple sources into new generation platforms Data Engineers are then forced to unpick all that hard work by legacy BI tools that extract, lift and shift data back out to Data Marts, BI Servers and PCs. In this session we will show you that this approach leaves data unanalysed and that truly fine grained segmentation and analysis of your customers is only possible with a big data Native BI solution.

Presented by founder & CTO Shant Hovsepian, Arcadia Data


Theme: Data science and machine learning Main conference room: Powering machine learning with data science

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 Joao Cerqueira, Big Data Architect, Perform Group and Chris Royles, Systems Engineer, Cloudera

14:45-15:30 Breakout session two (click to expand)

Theme: Modernise IT Breakout room A: Using SAP and Cloudera based data natively in both worlds to ensure your Big Data success

SAP data grows in value when it can be brought together for contextual analysis with other data available through Cloudera EDH. By connecting both worlds you will be able to create better and more valuable insights for your digital transformation. What's more, offloading SAP data also lets organisations optimise costs of their SAP systems, especially where HANA is concerned. Learn how to take advantage of powerful integration and offloading capabilities between SAP and Cloudera with Datavard.

Presented by Frank Gundlich, Strategic Business Development Manager, Datavard


Theme: Cloud Breakout room B: Integrating mainframe data into your Cloudera Altus strategy

In a world of open IT systems, evolving at dizzying speed, the mainframe remains the backbone infrastructure for thousands of enterprise-scale organisations worldwide. Defying regular predictions of its imminent demise, the mainframe workhorse is still going strong – processing a huge range of application and log data that are critical to a fully-fledged Big Data analytics initiative, or robust IT Operations or Compliance strategies.

Presented by Charles Struijve, Pre-sales Consultant, Syncsort, Wolfgang Huerter, Senior Software Consultant, Syncsort and Rüdiger Schickhaus, Technology Solution Professional – Cloud Infrastructure - Open Source Global Black Belt Team, Microsoft


Theme: Security and governance Main conference room: GDPR. It’s big. But not impossible

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 Pauline Pechberty, EMEA Managing Counsel, Cloudera
Colm Moynihan, Partner Systems Engineering Manager EMEA, Cloudera
Louis Polycarpou, Presales Manager, Big Data Technologies, Informatica

15:30-16:00 Networking break

Time for one last tea or coffee in the exhibition area to recharge your energy before the final breakout sessions.

16:00-16:45 Breakout session three (click to expand)

Theme: Customer insights Breakout room A: Understanding customer behaviour

This session will focus on the way that Cloudera and Qlik enable businesses across all sectors to truly know their customers. Learn how to establish a modern data and analytics approach that enables you to deliver customer insights across your entire business and build more personalised offers that help attract new customers and build loyalty and retention rates for the long-term.

Presented by Marcus Adams, Director Technology Partners, Qlik


Theme: Modernise IT Breakout room B: Deriving value from IoT data - From predictive maintenance to new business models

IoT is on everyone's mind and is arguably one of the biggest business opportunities. Billions of devices get connected to the internet every year, creating hundreds of billions of data points every month. However, to take advantage of this big opportunity a variety of challenges need to be handled. In fact, IoT is a real “big data” problem and without intelligent, automated analytics and effective deployed machine learning all the data just becomes another big pile in the data lake.

This breakout session will showcase some of the IoT challenges and opportunities that companies are faced with. We will present our Hitachi Rail case study, which demonstrates how the combination of sensor data and effective analytics methods can derive real business value beyond descriptive analytics and predictive maintenance.

Presented by Jonathan Doering, Data Scientist, Hitachi Vantara


Theme: Cloud Main conference room: Azure and Cloudera: flexible cloud, whatever the workload

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 Dan Croft, Systems Engineer, Cloudera and Rüdiger Schickhaus, Technology Solution Professional – Cloud Infrastructure - Open Source Global Black Belt Team, Microsoft

16:45-17:30 Breakout session four (click to expand)

Theme: Modernise IT Breakout room A: Six simple steps for re-platforming to a modern data platform

There’s undoubtedly a lot to gain by modernizing data warehouse architectures to leverage new technologies, however the re-platforming process itself can be harder than it would at first appear due to the growing variety of data sources and need to address batch and stream processing. This session will discuss six simple steps to focus on to ensure success.

Presented by Jobi George, VP WW Business Development, StreamSets and Rupal Shah, Solutions Architect, StreamSets


Theme: Modernise IT Breakout room B: Shifting from physical to logical big data lakes

As connected devices, geospatial, OLTP, social media and other sources of big data keep increasing the volume and variety of data in physical data lakes, created with modern big data technologies, it is almost impossible to turn that data into real-time business intelligence in a secure and compliant way. Organizations across a wide range of industries are turning their attention to logical data lakes, thanks to data virtualization technology that makes it possible. Attend this session to learn how your organization can also harness the power of big data with data virtualization.

Presented by Charles Southwood, Regional VP, Northern Europe and MEA, Denodo Technologies


Theme: Data science and machine learning Main conference room: Accelerate the time to value with a simple approach to data and analytics

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 Wim Stoop, Senior Technical Marketing Manager EMEA and Drystan Davies-Knight, Projects Director at Davies Knight Ltd.

17:30-18:30 Networking reception

After a busy day of exploration, learning and discussion we will end the event with some informal drinks and nibbles in the exhibition area.

Speakers


Stephen Line
Regional Vice-President, Cloudera
Dr. Amr Awadallah
Chief Technology Officer, Cloudera
Brian Goral
Technical Product Manager, Cloudera Fast Forward Labs
Natalia Poliakova
Global Account Director, Intel Corporation
Matt Aslett
Research Director, 451 Research
Stefanie Posavec
Information designer & artist / co-creator of Dear Data
Simon
Sandford-Taylor
Chief Technology Officer, Office for National Statistics
Jason Perkins
Head of Business Insight & Analytics Architecture, BT
Katharine Jarmul
Founder, Kjamistan
Wim Stoop
Senior Technical Marketing Manager EMEA, Cloudera
Toby Waldock
Partner, Deloitte
Jonathan Baker
Chief Operating Officer and Cofounder, Simudyne
Adrien Arculeo
Big Data Architecture Lead | Analytics & Information Management, Deloitte
Ryan den Rooijen
Head of Data, Dyson
Shant Hovsepian
Founder & CTO, Arcadia Data
Joao Cerqueira
Big Data Architect, Perform Group
Chris Royles
Systems Engineer, Cloudera
Frank Gundlich
Strategic Business Development Manager, Datavard
Charles Struijve
Pre-Sales Consultant, Synsort
Wolfgang Hürter
Senior Software Consultant, Syncsort
Ben Dunmore
Pre-Sales Consultant, Syncsort
Rüdiger Schickhaus
Technology Solution Professional – Cloud Infrastructure - Open Source Global Black Belt Team, Microsoft
Pauline Pechberty
Managing Counsel EMEA, Cloudera
Colm Moynihan
Partner Systems Engineering Manager EMEA, Cloudera
Louis Polycarpou
Presales Manager, Big Data Technologies, Informatica
Marcus Adams
Director, Technology Partners, Qlik
Jonathan Doering
Data Scientist, Hitachi Vantara
Jobi George
VP BD and New Market Development, StreamSets
Rupal Shah
Solution Architect, StreamSets
Charles Southwood
Regional VP, Northern EMEA at Denodo
Dan Croft
Systems Engineer, Cloudera
Syed Rafice
Systems Engineer, Cloudera

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Top 5 reasons to attend Cloudera Sessions 2017

Here are five reasons why you should attend Cloudera Sessions in London:

1 Innovation

Hear how leading organisations like Dyson, Office for National Statistics and Perform Group (Opta) drive value from their data with Cloudera.

2 Insights

Explore practical examples of the hottest topics in data and analytics today including machine learning, cloud, IoT, cybersecurity and GDPR.

3 Networking

Share experiences and discuss what you uncover during the event with like-minded peers across all industries.

4 Interaction

Interact with the experts during the cloud panel discussion and breakout sessions on topics that meet your individual interests.

5 Solutions

Exhibitors at the event are all working with the Cloudera platform to drive solutions for customers take your chance to learn from their experience and expertise.