13 - 14 August, 2019 | Novotel Sydney on Darling Harbour, Sydney, NSW
Mark Moloney, Machine Learning & AI Solutions Principal at Telstra

Mark Moloney


Machine Learning & AI Solutions Principal
Telstra

Check out the incredible speaker line-up to see who will be joining Mark.

Download The Latest Agenda

Pre-Conference Workshops: Monday, 12th August 2019

Monday, August 12th, 2019


9:00 AM Building a Robust AI Environment Which Will Integrate Into Business Units Strengthening Them For The Future

When building artificial intelligence into an enterprise, various structural considerations need to be made. Preparing an environment in which machine learning and automation can be seamlessly introduced will enable eased adoption of initiatives. These can then be scaled across differing business units. The skills of the workforce charged with implementing these strategies is key to success.

This workshop is an opportunity to learn from Mark Moloney, Principle of machine learning & AI solutions at Telstra. Mark is versed in the back end work necessary to introduce machine learning and AI into business processes. He will share his expertise on how to best maximise the opportunities available to the business through use of AI.

What you will learn
  • Learn to construct frameworks capable of supporting a machine learning environment
  • Progress the adoption of machine learning and AI across your organization
  • Understand how to scale artificial intelligence into operations and customer service
  • Advance your skills to best leverage machine learning to simplify complex systems
  • Gain insights into experimenting with IOT capabilities
  • Consider the opportunities to progress the customer experience with deeper personalization of services

Conference Day One: Tuesday, 13th August 2019

Tuesday, August 13th, 2019


12:10 PM Telstra: AI In Customer Service Provision And Network Operations And Identifying Opportunities For Future Enterprise Advancement

Telstra have already identified opportunities to leverage artificial intelligence and machine learning and are currently looking to build upon what they have already started experimenting with. Here Mark will share Telstra’s AI journey and what are considered the opportunities for the future.

- The critical steps to building an environment for Machine Learning
- Introducing AI capabilities into the customer service space
  • Leveraging deep learning to produce advanced matching algorithms
  • Chatbots for routine enquiries
  • Augmenting knowledge for front facing staff
- Back-end network augmentation as a result of AI assistance
  • Operations: a tool to rapidly identify problem areas and build tailored solutions
  • IOT and the increasingly virtualsied network
- The future for AI: advanced analytics paired with software systems to build personalized customer networks