Sri Annaswamy
Founder and Director
Swamy and Associates
- Develop insights to bridge the gap between the scientific and the enterprise worlds
- How can cutting edge research be applied within a business?
- How can data scientists provide solutions for maximum organisational benefit?
Hosein Alizadeh
Data Science Team Leader
Wesfarmers
- How is AI redefining business paradigms and transforming the enterprise day-to-day
- How can artificial intelligence deliver real value to companies?
- How do you develop an AI investment plan
Rohit Adlakha
VP & Global Head, Wipro HOLMES and Automation Ecosystem
Wipro Limited
Digital transformation is rapidly becoming a commodity, with oceans of data now available for practical AI applications. In this session, we'll explore how strategic investments in AI and Machine Learning platforms, tooling and practical AI solutions are evolving to meet demand across industries. Looking to the future, we'll explore how the AI-infused Cloud and Edge will enable entirely new experiences.
Sean Alexander
Principal Director of Engineering
Microsoft AI
- How to prepare for the impact of AI on business and society
- Developing ethical and open AI - building frameworks that are safe for the future
Panel Moderator:
Sri Annaswamy
Founder and Director
Swamy and Associates
Panellists:
Rohit Adlakha
VP & Global Head, Wipro HOLMES and Automation Ecosystem
Wipro Limited
Shayne Harris
Head of Technical Sales
Lenovo
Sean Alexander
Principal Director of Engineering
Microsoft AI
- Hear what technologies are on the horizon that have the potential to cause disruption in the traditional workplace
- Understand the likely impact of emerging technologies and how you can adapt affected workers to jobs that have long-term resilience to AI introduction
- Balance social responsibility and business opportunity - learn what technologies to invest in to lower operating costs
Richard George
Director of Data Science
Faethm
- What are most widely adopted AI capabilities today? How effective are they and what are their limitations?
- What does the concept of Human-AI Collaboration mean? What are the latest research advancements in this space?
- How should we look at Human-AI Collaboration as the future approach to AI for business applications?
Si Chen
Senior Manager, Strategy & Partnerships
Tencent AI Lab & Robotics X
- How can AI be used to dynamically measure conduct and behaviour
- Innovative real-time monitoring and reporting of risk culture driven by AI
- Insights into the methods used to calibrate and apply AI to different environments
Tim Boyle
Group Managing Partner
Blackhall & Pearl
- A look at the fundamental concepts and recent advances in artificial intelligence
- Research on the frontiers of deep learning and AI for data science
- What are the societal implications of this work?
Mohadeseh Ganji
Data Science Research Fellow | Lead Data Scientist
University of Melbourne
Roundtables are interactively moderated group discussions where delegates get the chance to debate and discover common issues, challenges and solutions. Attendees will have the option of attending 3 of 5 concurrent sessions (25 min per session).
Roundtable 1: Getting customers to accept, understand and trust AI
Fang Chen
Group Leader & Senior Principal Researcher Enterprise Analytics
Data61
Roundtable 2: Practical steps on using errors to improving your chatbots
Mark Chatterton
Co-Founder
Ingenious AI
Roundtable 3: Using machine learning and AI to enhance the customer experience
David Dean
Machine Learning Specialist
TAFE NSW
Roundtable 4: AI in marketing - personalising and improving customer experience
Jon Stubley
Managing Director, Australia & New Zealand
GumGum Visual Intelligence
Roundtable 5: Executive leadership challenges in an AI-driven world
Katharine McLennan
Founder
What is Leadership
Roundtable 6: AI & Machine Learning: Keys to your Digital Transformation
Shayne Harris
Head of Technical Sales
Lenovo
Roundtable 7: Getting out of the lab and into production - success factors for enterprise AI
Felipe Motta
Growth Manager
C3IoT
Roundtable 8: Developing Ethical Guidelines in AI Implementations for Data Privacy, Transparency, and Accountability
Neil Carter
Data & Artificial Intelligence Lead
Microsoft Australia
Tom Daemen
Director, Corporate, External & Legal Affairs
Microsoft Australia
- Should you automate the whole business?
- What should be left for humans to manage?
- Considerations for making the decision to adopt AI for automation
Panel Moderator:
Sri Annaswamy
Founder and Director
Swamy and Associates
Pannelists:
Adrian Letchford
Senior Data Scientist
Airtasker
David Dean
Machine Learning Specialist
TAFE NSW
Fang Chen
Group Leader & Senior Principal Researcher Enterprise Analytics
Data61
- Why machine learning?
- How does Airtasker use machine learning?
- How we have built our machine learning pipeline
Adrian Letchford
Senior Data Scientist
Airtasker
- Applying AI and machine learning to infrastructure and transport
- Using sensing, continuous monitoring and advanced data analysis techniques to help civil and industrial asset managers to make informed maintenance decisions
- Discovering patterns from discriminated data and building predictive capability from the derived patterns
- How to create innovative AI/ML solutions with huge versatility and international impact
Fang Chen
Group Leader & Senior Principal Researcher Enterprise Analytics
Data61
- 3 Steps to creating your first chatbot
- Fail fast with chatbots
Mark Chatterton
Co-Founder
Ingenious AI