Day 1 - 24 November 2020


Registration Opens


Registration, Coffee & Networking in the Exhibition Area


AI Technology & Implementation Day 1– Chair’s Opening Remarks


Presentation: Building a sustainable future with AI

  • Environmental applications of AI
  • How can businesses proactively meet the challenge of new AI applications?
  • How might AI influence economic growth?


Presentation: Practical AI implementation and application

  • Generating business value from your AI applications
  • Building a governance framework
  • Ensuring ethical AI
  • Lesson from real world deployments


Senior Rep, Wonderware



Associated Talks:

10:15AM - Day 2

View Presentation: The Last Mile – Implementing your Data Strategy

11:05AM - Day 1

View Presentation: The new wave of AI hardware accelerators and what they mean for your organisation

View Full Info

Presentation: The new wave of AI hardware accelerators and what they mean for your organisation

  • Generating business value from your AI applications
  • Building a governance framework
  • Ensuring ethical AI
  • Lesson from real world deployments
. Senior Rep, Wonderware, ., .


Presentation: Taking the headache out of Data prep

Overcoming common data prep challenges with AI


Presentation: Untangling unstructured data

  • A look at analytical methods and tools analyze unstructured data.
  • Analyzing unstructured data with semantics and NLP
  • What part does Deep Learning play in identifying patterns in unstructured data?


Panel: Leveraging AI & ML in Data Analytics

  • Understand how machine learning and AI in data analytics can benefit your business
  • Incorporating modern machine learning techniques into your data infrastructure
  • Insights, examples and use cases


Networking Break


Presentation: Bridging the Gap between Data Science and Data Engineering

  • Enabling Data Scientists and Engineers to Work Collaboratively
  • Cross-training to both data scientists and engineers
  • Principles and practices that guide where applied data science technologies need to converge


Presentation: Automating workflows with BPM

  • Aligning processes with an organisation’s strategic goals
  • Designing and implementing process architectures
  • Establishing process measurement systems that align with organisational goals, and
  • Educating and organising managers so that they will manage processes effectively.


Presentation: Your next co-worker could be a robot

  • What does the workforce of tomorrow look like?
  • What’s the difference between a bot and a digital worker?
  • What roles can be automated?
  • Creating efficiencies and empowering the human workforce
  • Blending virtual and human employees


Presentation: Challenges and opportunities of distributed machine learning

  • How to develop ML models or training algorithms that are more suitable for distributed settings
  • How to build large-scale DML applications
  • Problems in distributed machine learning


Presentation: Building a feature engineering framework

Frameworks for data scientists to take features into production safely and quickly


Presentation: Potentials and pitfalls of Re-inforcement Learning

  • Basic concepts in reinforcement learning
  • Core challenges and approaches
  • Supervised vs. unsupervised vs. reinforcement learning
  • Achieving human level intelligence


Spotlight Session: Start-ups and innovators

This session will explore some of the latest technologies available within the AI, ML, DL technology ecosystem, and showcase how they are being used in the real world.


Panel: Team work makes the dream (model) work

  • Getting models in production so they are robust and strong
  • Building collaboration between Data Engineers and Data Scientists
  • Upskilling software engineers skills in the team


AI Technology & Implementation Day 1: Chair’s Closing Remarks


End of Session

Networking Party | 6pm-10pm | Strandzuid, RAI

An evening of networking on Wednesday 1st July from 6pm. Access for Ultimate, Gold &Expo Plus holders in addition to speakers, sponsors, press & exhibitors. Taking place at Strandzuid, RAI. Join us for drinks & networking

Day 2 - 25 November 2020


Registration Opens


Registration, Coffee & Networking in the Exhibition Area


AI Technology & Implementation Day 2 – Chair’s Opening Remarks

Quantum & Edge Computing


Presentation: The art of applying data science

  • Key disciplines needed for real-world applications
  • What organisational changes will you need to make?
  • What obstacles will you need to overcome
  • Getting over the last mile


Presentation: The next frontier – Quantum computing & AI

  • How does Quantum computing mean for AI?
  • Moving from the theoretical to practical.
  • What industries will be disrupted?


Presentation: Moving AI to the Edge

  • Will AI continue to move to the edge?
  • What are the benefits and drawbacks of AI at the edge versus AI in the cloud?
  • Centralized intelligence versus decentralized intelligence
  • Bridging the gap between the data center at the edge


Presentation: High Performance Computing

  • Why is it important?
  • What benefits can it bring? Can it save you money whilst streamlining business processes?
  • Use cases and examples


Panel: Succeeding with Intelligent Automation

  • Getting from task automation to end-to-end flow automation
  • How to overcome legacy systems
  • Dealing with outdated customer commitments
  • Democratising of automation of IA
  • Scaling IA and transforming business processes


Networking Break

Deep Learning


Presentation: Autonomous vehicles in 2020

  • Reflecting on the reality check of 2019 – what has the industry learnt?
  • What are current industry expectations moving forward?
  • What advanced driver-assistance systems can consumers expect to see in their cars?
  • Are we any closer to ‘robotaxis’ or fully driverless cars?


Presentation: The Rise of Auto ML

  • Common AutoML uses cases
  • How can AutoML make data science teams more productive
  • Democratising AI initiatives with Auto ML


Presentation: Unsupervised Learning

  • What benefits can be gained from unsupervised learning and why is it important?
  • How to apply techniques such as clustering, Anomaly detection, Association mining, Latent variable models


Presentation: Deep Learning in Computer Vision

  • A look at new applications of computer vision
  • New advances in algorithm and technology advances
  • Image classification and annotation
  • Object recognition, image search and detection techniques


Presentation: Designing for Voice

  • How do you create a seamless voice interface?
  • Design principals when designing for voice
  • Choosing the right speech recognition engine
  • Measuring performance


Panel: What’s next for Conversational AI?

  • Key advancements in NLP
  • Best practices for conversational design
  • Implementation strategies
  • Scale up so your chatbot is production ready


AI Technology & Implementation Day 2: Chair’s Closing Remarks


End of Session