Open to all and free to attend conference and exhibition. Discuss the big questions and share ideas with forward-thinking peers and leading members of the Data community. Be in the vanguard of the data revolution, sign up to Big Data London and learn how to build a bright future for your business.
With the arrival of modern streaming platforms, businesses are rethinking data with real-time processing at the forefront. What was once thought of as “batch” processing is quickly being replaced with fast streams in real time due to requirements for instant data analysis. The Fast Data track looks further into all things streaming, real-time and speed, and explores how this syncs with the IoT revolution.
Learn more about the AI Revolution, using machine learning and deep learning tools to find meaning and insights in oceans of data. The content in this track will separate the hype from reality with real world examples and use-cases from global organisations who are at the forefront of harnessing the advantages of predictive analytics, machine learning and deep learning algorithms.
This track’s sessions will explain how modern businesses can put data and analytic insights into the hands of business users, democratising business intelligence and driving adoption across the entire enterprise. Learn how business users can access and work with corporate data even without a background in statistical analysis, business intelligence (BI) or data science.
Brand new conference theatre at Big Data LDN focused on how to build a successful enterprise-wide data culture focusing on aligning business objectives with data strategy, data ownership, GDPR, culture, skills, regulation, governance and strategic architecture. This theatre examines the emerging CDO role and critical issues around data privacy and security.
The Rise of the Streaming Platform
Machine Learning, AI & the Future of Big Data Analytics
Machine Learning: What Works and What They Won’t Tell You
Big data for Big Impact
What Does Eye tracking Teach us about Dashboard Design?
Data Driven Performance with Mercedes AMG Petronas Motorsport
Stream all the things!!
Breaking the rules of nature – proactive, predictive analytics
Preserving the key principles of academic research in a business context
Creating ROI from Big Data Investments – Monetising Your Data Asset
Analytics at ING – the why, what, and how of building a data driven financial enterprise
Migrating Machine Learning to Spark on the Cloud
How to Meet the Needs of Your Data hungry Organisation / Data Culture
Pervasive Intelligence - The future of big data, machine learning & IoT
Real World Impact of a Global Data Fabric
Full Stack Analytics on Amazon Web Services
Deep Learning Demystified
Reshaping Digital Business with Augmented Intelligence
4th Industrial Revolution Survey - Panel Debate
The Big Data Journey
The CDO’s Playbook
The Intelligent Edge: What Data-driven Means in the Age of IoT
Disruption in Data
Data Driven Transformation – Responsible change for the public good
Data Leaders Panel Debate
Cox Automotive – Big Data Journey
The Logical Data Warehouse – A Modern Analytical Architecture
How to Leverage the Cloud for Business Solutions
Data Governance Reimagined
The Importance of Women in Data and Technology
Collaborative Data Governance GDPR is only the Beginning
GDPR Panel Debate
Data Science Skills & Careers – Launch of the Nurture Programme
CEO Starcount & Founder of The Female Lead.
Head of IT
VP of Fast Data Engineering
Chief Technology Officer
We’re assembling a stellar line-up of over 70 engineering gurus, open-source visionaries and real-world pioneers. Here’s a taster of the world-class speakers we’re hosting in November:Meet All The Speakers
IT Manager, Fast Data Analytics
Chief Technology Officer
Chief Data Officer
Chief Application Architect
Technical Evangelism Director
Neha Narkhede is co-founder and CTO at Confluent, the company behind the popular Apache Kafka streaming platform. Prior to founding Confluent, Neha led streams infrastructure at LinkedIn, where she was responsible for LinkedIn’s streaming infrastructure built on top of Apache Kafka and Apache Samza. She is one of the initial authors of Apache Kafka and a committer and PMC member on the project and will discuss how to build operable large scale data systems.
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.
My team and I left Big Data LDN 2016 with a shortlist of five things we had to implement immediately. The event was extremely informative.
Big Data LDN 2016 was a good opportunity for our data team to get an overview of the latest developments and sharpen the focus of our big data strategy.
Excellent insights into Big Data, the format was really good!
Fascinating insight into the potential big data has for more informed and effective strategies