Conference Highlights

10 Reasons to join us in May at the 2nd Applying Artificial Intelligence and Deep Learning for Enterprises Conference

AI-First Enterprise: How Machine Learning is Used To Transform the Enterprise
Case Study: How Dolby Uses AI To Re-imagine the Future of its Business
BMW Case Study: Putting AI in Driveless Cars
How Deep Learning is Transforming Different Vertical Industries
JPMorgan: Operationalizing Machine Learning
How to Integrate AI into Your Existing Infrastructure
How Government is Using AI Increase Efficiency, Service Delivery and Citizen Engagement
BUPA ANZ: Achieving Transformative Business Outcomes with Artificial Intelligence
GE Case Study: Using AI to Drive Across Its Entire Business
Building the AI Systems of the Future
Solving Business Problems with Deep Learning
CTO and Chief Data Scientist Panel

DAY 1: Monday 8 May 2019

The AI-First Enterprise: How Advanced Machine Learning will transform the Enterprise
What’s next in AI – The Technology and Challenges of Audio AI
What Top Companies are Doing with AI + Industry 4.0 today, what are the investment opportunities, what we can learn from them – Success in the Age of AI
Case Study: AI in Security/Intelligence & Anti-Terror Services – Using AI to Predict the Probability of Crime in Location by Detecting Anomalies and Faces
Case Study:AI + Blockchain in Education
Operationalizing Machine Learning: How to Ensure Value-Driven Deployment
Many Use Cases across the industries & New applications of AI

DAY 2: Tuesday 9 May 2019

Government-Wide AI Strategy: How AI Increase Efficiency, Reduce Operational Costs, Improve Service Delivery and Increase Citizen Engagement
Putting AI in Driveless Cars
Building AI for Industry: Translating AI R&D into Applications & Commercial Us
Building the AI Systems of the Future: Trends in new AI Systems
Why many AIs are better than one: Trusted Human-Swarm Teaming, with future applications

Post-Conference Seminars & Site Tour: 10 May 2019

How To Build Your Company’s AI Strategy
How to Train and Execute a Deep Learning Model to Be Able to Re-identify and Extract Attributes from Humans
Visits to corporations, innovation labs and institutions which have successfully rolled out AI & IoT programmes or are test-bedding new AI-IoT technologies