Day 2

28 June 2018

AI Technologies

This track covers the full spectrum of AI technologies, how they are being developed and the real life scenarios where they are being utilised.  Expect to hear about chatbots, visual recognition technologies, robotics and machine learning.

09:15AM

AI Technologies: Chair’s welcome and opening comments

09:30AM

Keynote Panel: Realities of Bot & VA Development and Implementation

  • Deep Learning, natural language processing and voice recognition implementation
  • The key elements to building a multi platform bot
  • The challenge of discovery and on-boarding
  • Implementing successful engagement strategies

10:15AM

Developing a conversational chatbot / VA

  • The pros and cons of conversation for UX
  • Conversational skills & character creation to educate your bot
  • Understanding natural language processing
  • How do we inject personality into your bot / VA
  • Can machines become creative

10:45AM

Networking Break

11:15AM

AI for coding

A case study presented by a leading AI company about how AI can aid with traditional coding tasks: bug fixing, test writing, finding and fixing exploits, refactoring code, translating from one language to another, and creating original code to fit specifications.

11:45AM

The new disruptor – combining artificial intelligence with AR and VR

  • What is the potential of using AI for AR and VR?

12:15PM

Panel: Deep Learning on Mobile Devices

  • Building convolutional neural networks (CNN) architectures to memory- and power-constrained devices like smartphones, wearables, and drones.
  • How can deep learning principles and algorithms be applied to sensor inference problems
  • Practical tips from real-world scenarios

01:00PM

Networking Break

02:10PM

AI and computer vision: Cameras that see like humans

02:30PM

Chihuahua or Muffin? Object recognition

  • Challenges of developing object recognition systems
  • Training models using large image data sets
  • Training deep neural networks
  • Testing with real-life images

02:50PM

Panel: The rise of smarter robotics

  • Already being used in cognitive factories – what industries could benefit next from hyper-intelligent machines?
  • Creating a strategic vision and roadmap for RPA ad AI
  • How will jobs be affected?

03:35PM

Networking Break

04:00PM

Designing ethical AI systems without bias?

04:30PM

From deep learning to cognitive reasoning – a look at the strengths and weaknesses of different approaches to machine learning

05:00PM

Session Close