Thursday 22nd June, 2017
The Seminars will take place from 12.15 – 13.00.
Delegates will be able to attend one seminar at the event. No pre selection is required – delegates will be able to select which session they attend onsite.
Unlocking Meaning in Data
Data is everywhere in the modern information economy. But it’s what you see in your data that makes the difference.
Designing Data-Driven Applications
How is big data creating new challenges and opportunities for developers? Learn how to create compelling data-driven apps.
Big Data Use Cases
We typically hear a lot about how big data can deliver usable insights but what does this mean exactly? How can companies turn big data into decision-making power on customers, security and much more? This seminar explores how advanced analytics are being utilised across industries for business success.
The Value Metrics for the Chief Digital Officer
Abhas, EMEA Lead – Strategy, Innovation, & Business Development, Hortonworks
Measuring the value of any digital engagement is the no1 challenge faced by digital leaders across industries (per a Mckinsey global institute report – only 15 percent have been able to make any sense of it). This presentation will cover:
- The challenges faced by data and digital leaders in the age of the fourth industrial revolution
- The key metrics to measure ROI for digital engagements
- New employee engagement methods needed in this digital era
- Hortonworks’ value based engagement methodology
Unlocking Value from Unstructured Data
It is estimated that at least 80% of information within enterprises is unstructured. How can enterprises unlock value from unstructured data?
Making Waves: From the IT Department to the Boardroom
This session looks at how business leaders can architect enterprises to optimise business intelligence for Big Data, and explores technology skill sets necessary for training and implementing Big Data projects.
Can ignoring Big Data cost you your business?
Companies without plans for managing and exploiting the explosion in data are said to be losing out. But should all enterprises harness the benefits of Big Data? What happens if you choose to ignore it?
The Evolving Big Data Architecture
Hadoop, columnar, and NoSQL systems are now dominating the landscape for new business applications and rapidly replacing existing ones. Business demands flexible data architectures that can address today’s challenges. In fact, the data architecture of the future will focus around specialization, not standardization, to achieve optimal business results.
Business Opportunities from IoT and Big Data
The IT systems of the past will not be able to handle the burgeoning requirements of machine-to- machine communications. Finding tools that will bridge the Internet of Things and Big Data is no easy feat – but once bridged, the business opportunities are rich with possibility.
Big Data + Cloud = Extracting Maximal Business Value?
- Challenges and Solutions for Big Data in the Cloud
- Unlocking the potential of big data in cloud environments
- Solving problems and delivering value with cloud-based analytics