Workshops:March 10-11, 2016
Presentation: Creating Customer-Centric Products using Big-Data
Location:
- Mountbatten, 6th flr.
Duration
Day of week:
- Wednesday
Abstract
This presentation includes solutions to some of the toughest big data challenges in financial services using scalable, open-source technology. The speaker will share case studies and examples in the areas of:
- User experience centric predictive analytics and marketing
- Personalisation of applications and targeted offers
- Social data analytics and sentiment analysis
- Cybersecurity and fraud detection
- Open stack and open data collaboration
- Attracting data science talent via OSS opportunities
Tracks
Covering innovative topics
Monday, 7 March
-
Back to Java
What to expect in Java 9 and Spring 5
-
Stream Processing @ Scale
Big data, fast-moving data. Practical implementation lessons on Real-time Data
-
DevOps & CI/CD
Lessons/stories on optimizing the deployment pipeline
-
Head-to-Tail Functional Languages
Free-range Monads, Tackling immutability, tales from production, and more...
-
Architecting for Failure
Your system will fail. Take control before it takes you with it
-
21st Century Culture from Geeks on the Ground
New ways to organise technology companies and workplace culture
Tuesday, 8 March
-
Architectures You've Always Wondered about
In-depth technical case studies from giants like: Microsoft, Netflix, Google, Twitter, and more...
-
Close to the Metal
Get efficiency back into your code, concepts like: cache efficient algorithm and lock free data structures
-
Containers (in production)
Real-world lessons on scalability and reliability in production container deployments
-
Modern CS in the real world
Real-world Industry adoption of modern CS ideas
-
Security, Incident Response & Fraud Detection
Master-level classes on building security into your system and responding to incidents when things go wrong.
-
Optimizing You
Keeping life in balance is always a challenge. Learning lifehacks
Wednesday, 9 March
-
Disrupting Finance
Technology advances in finance (blockchain, P2P, Machine Learning, API's)
-
Modern Native Languages
Modern native languages: Safe efficiency with Go, Rust, Swift
-
Full Stack Javascript
Level up Javascript with topics like Angular, React/ReactNative, Node, Mongo/Couch/Other, Falcor, GraphQL, etc
-
Data Science & Machine Learning Methods
A developer's data science and machine learning toolkit
-
Microservices for Mega-Architectures
Practical lessons on Microservices success.
-
Modern Agile Development
Revisiting Agile today and tackling challenges we are seeing in the wild
Conference for Professional Software Developers
