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Day 1 - 1 December 2022

10:00AM

(GMT)

AI Strategies: Chairpersons Welcome

Chairpersons welcome and opening remarks.  

10:15AM

(GMT)

Presentation: The Augmented Workforce

Fearing that disruptive technologies would replace workers; it is now clear that these innovations are there to aid employees’ skills and capabilities – realising them from automated tasks and giving them the time to work on new projects. Here we will look at the role of AI and ML in helping to build a digitally enabled and efficient workforce.  

10:45AM

(GMT)

Keynote Presentation: A Competitive Advantage with AI and ML

  • Using AI and ML to gain real-time intelligence, in turn creating a strong competitive advantage.  
  • Creating a holistic technology approach to your digital transformation strategy.  
  • What new services are expected to appear in this space? 

11:15AM

(GMT)

Presentation: Empowering the AI-enabled Team

  • Looking at how to truly embed AI into internal processes to enhance the teams’ capabilities, not disrupt the workflow.  
  • Giving employees the training and tools they need to be developers, not just users.  
  • Fitting technology to the solution, not the other way around. 

11:45AM

Networking Break

12:00PM

(GMT)

Laura Roisch

Director, Digital product & service innovation

McKinsey's

Associated Talks:

12:00PM - Day 1

View Panel: AI Driven Digital Transformation

View Full Info

Brett StClair

Co-Founder responsible for Revenue Generation and Scaling Credibility

teraflow.ai

Associated Talks:

12:00PM - Day 1

View Panel: AI Driven Digital Transformation

View Full Info

Panel: AI Driven Digital Transformation

  • Building a comprehensive business strategy, how to embed AI into this from the outset. 
  • Enabling decisions based on real-time intelligence. 
  • Utilising ML solutions to aid processes and consumer experiences. 
. Laura Roisch, Director, Digital product & service innovation , McKinsey's
. Brett StClair, Co-Founder responsible for Revenue Generation and Scaling Credibility, teraflow.ai

12:40PM

(GMT)

Presentation: Low-code and No-code Technologies – Closing the Skills Gap

  • As low-code and no-code technologies can be quickly rolled out, why haven’t these been adopted sooner?  
  • Closing the AI skills gap – where to start? 
  • While these technologies create a quick fix, are they a long-term solution?  

01:00PM

(GMT)

Presentation: Collaborative Solutions through Converging Technologies

  • Creating a holistic strategy that includes AI, BI, ML and IoT processes and capabilities.  
  • A shit towards simplifying the vendor landscape to limit the overlap here – is the next step converging data warehouses and data lakes? 
  • Building partnerships across solutions and sectors as the key to an optimised eco-system.  

01:30PM

(GMT)

Presentation: AI Innovation

10-minute innovation slot  

01:50PM

Lunch & Networking Break

02:30PM

(GMT)

Presentation: AI Cyber Security Use-case

A look at how AI is being used within the fraud prevention and identity theft spaces.  

02:50PM

(GMT)

Panel: Scouting Cyber Threats through AI

  • How AI/ML algorithms can be utilised to find network traffic and unusual patterns in a growing complex digital world. 
  • The ability to react autonomously to everchanging threats. 
  • What are the current barriers hindering the capabilities of AI and ML use in cyber security?  
  • What can be done to overcome these barriers?  

03:30PM

(GMT)

Presentation: AI Against Hackers

  • Protecting data from cyber hacks through AI-based security solutions. 
  • The potential to scan malware in real-time. 
  • How well can AI solutions be implemented in current cyber security infrastructures? 

03:50PM

Networking Break

04:05PM

(GMT)

Akash Bajpai

Vice President, Strategic Intelligence Unit (Risk & Compliance)

Citi

Associated Talks:

04:05PM - Day 1

View Presentation: Evolving the Enterprise with Language Modelling

View Full Info

Presentation: Evolving the Enterprise with Language Modelling

  • NLP (Natural Language Processing) progressions like OpenAI for enhanced user experiences and automated responses.  
  • How these advancements are enhancing workforce and service capabilities, as well as increased data literacy.  
  • What are the challenges that need to be considered here?  
  • Accelerating processes with deep learning and neural networks – looking at the expansion of deep learning at scale across complex tasks.  
. Akash Bajpai, Vice President, Strategic Intelligence Unit (Risk & Compliance), Citi

04:25PM

(GMT)

Presentation: Deep Learning

A deep-dive into the current deep learning use-cases. Where do we go next with the capabilities deep learning provides?  

04:35PM

(GMT)

Presentation: NLP Enabling Enhanced Services

Looking at NLP (Natural Language Processing) progressions like OpenAI for enhanced user experiences and automated responses.  

05:05PM

(GMT)

End of Day

View day 2 content here:

Applied Data & Analytics

Data Optimisation | Big Data | Intelligent Decision Making | Data Storage | Industry Use-case

 

Transformational AI 

Personalisation | Edge AI | Digital Transformation | Future Progressions | Industry Use-case

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