Agenda20 August 2019 | The Forum, Bryanston

Arrival and registration
Welcome and scene-setting

Chair: Marius BothaMarius Botha, head of intelligent automation, The Foschini Group

KEYNOTE: Adapting to an A.I. world: The Good, The Bad and The Ugly

Jared Molko, Jared Molko

Many companies are looking to leverage the power of artificial intelligence. But before making considerable investment, it’s important to understand what AI can do, what it can't and what are the key considerations when rolling out an effective AI program. As AI and automation infiltrates more aspects of business, we still need to take our people with us. So we explore what are the skills, mind-set and culture needed to ensure a smooth transition into an AI world.

  • What AI is and what AI isn't
  • Steps to take to roll out an AI program
  • What skills, mindset and culture is needed for a smooth transition into an AI world
Case Study: Making AI practical

Muhammad SimjeeMuhammad Simjee, EOY:2018 Innovator of the Year® & Co-founder, A2D24

  • If you know excel you can do Machine Learning
  • How to go from zero to AI in a couple of hours
  • How using machine learning helped transform our business
Refreshments and networking
Case Study: Assessing the enablers to an effective machine learning model

Frans Potgieter, Director – Analytics, TransUnion Credit Bureau Frans Potgieter, Director – Analytics, TransUnion Credit Bureau

  • Making sure you have vast amounts of reliable data for effective machine learning throughput.
  • Using simple models for easy deployment
  • Assessing to what extent machine learning can take over human capability.
Case study: Data governance and ownership for effective AI data inputs

Ruan VlokRuan Vlok, Head Data Exchange: Data Platforms & AI, Standard Bank of South Africa

  • Ensuring Trusted data through the enablement of data ownership and data curation.
  • Data Ownership alignment with your Data Architecture
  • Fast Tracking Data Initiatives through re-usable data assets
Panel discussion Ethical AI: Operating with integrity while optimising the use of AI

Moderator: Karthik Venkataraman, Senior Head – AI and Intelligent Automation, Accenture TechnologyKarthik Venkataraman, Senior Head: AI and Intelligent Automation, Accenture Technology
Panelists:
Sudhish Mohan, CIO and COO, TransUnion Credit Bureau
Jeanine Norden, Head Of Data Management, MMI Holdings
Camilo Amarcy, Head of Data & Analytics, Barclays
Corné Janse van Rensburg, Head of Business Enablement, WesBank

  • Depicting the ethical risks that AI presents.
  • Developing policies and standards around the use of AI.
  • Highlighting the importance of data input to prevent bias.
  • Clearing up blurred ethical lines.

During this track, you will gain insight into the latest innovative ways companies use AI. You will hear practical case studies on measuring the ROI of AI projects, how to use RPA as a stepping stone for AI, and how to enhance AI capability with blockchain technology.

Chair: Marius BothaMarius Botha, head of intelligent automation, The Foschini Group

Lunch and networking
Case study: Identifying areas for AI and automation and managing the transition

Lauren BerringtonLauren Berrington, Chief Audit Executive, Bidvest

  • Encouraging cross-functional collaboration.
  • Tying your AI project to a measurable ROI
  • Reskilling and redeploying workforce: identifying the skills gap and potential loss of jobs.
Case study: Cybersecurity, a journey to AI

Henry Denner Henry Denner, Information Technology Security Officer, Gautrain Management Agency

In today’s world, technology has become ingrained in virtually all aspects of our lives. Driven by users who demand ease of use, efficiency, personalisation and portability, the use of AI technologies is increasingly being deployed to meet their demands. But AI is not only used to improve the user experience, it is also used to attack the very same consumer. Recent statistics have shown that cyber related attacks using AI or machine learning are rapidly increasing. To defend IT systems and users against AI driven cyberattacks requires security tools that have AI or machine learning capabilities. But just how easy is it deploy an AI security solution and is it a silver bullet that can stop any cyberattack? Deploying an AI driven security solution is a journey, not a destination. A journey that will result in many hits and misses. This case study will take delegates through the journey of incorporating AI in a cybersecurity programme.

Refreshments and networking
Building an AI-Powered Organization

Johan Steyn, transformation lead: Enterprise Software Quality Assurance, NedbankJohan Steyn, chair: Special Interest Group – AI and Robotics, IITPSA (Institute of Information Technology Professionals South Africa) & Portfolio Lead, IQBusiness

With the advent of the leap in Digital technologies, every business should become a software-driven organisation. The dawn of the Fourth Industrial Revolution is catapulting organisations – most already far lagging in their digital transformation efforts – into a world that most business leaders are not prepared for. Studies show that only 8% of organisations globally use and organise for AI and advanced analytics, engaging in core practices that support widespread adoption. Many firms run only isolated and largely impromptu AI initiatives, targeted at single business processes.
The idea around adopting Artificial Intelligence and Robotics in an organisation is not primarily a technology conversation. It is foremost a business initiative, with commercial goals in mind, addressing specific challenges. It is also largely a cultural and organisational design challenge.

  • Understanding the drivers of technological change: big data, cheap storage, faster processing power and ubiquitous connectivity
  • Embarking on an AI journey: aligning with business strategy, understanding your AI ambitions, assessing your AI maturity
  • The AI capability framework: supervised vs unsupervised learning, machine learning vs symbolic learning, structured data vs unstructured data, augmentation vs replacement
  • AI maturity assessment: traditional, isolated, tactical
  • Developing the AI business case: change management, prototyping, avoiding pitfalls and industrialising AI
The intersection between Blockchain and AI

Oz RazakOz Razak, Managing Director, OZRA Digital

Both AI and Blockchain technologies promise exponential change for people and businesses. By themselves, they can be powerful enablers, however by leveraging off each other, they open up a new realm of possibilities. During this presentation, we will explore a few of these already in-development and established platforms:

  • Basic re-cap of Blockchain technology and its current useability
  • Understanding of a few of the existing and in-development platforms/products that utilize both AI and Blockchain technologies
  • The consequential new business models emerging and the potential to impact key sectors
  • Strategic considerations for a way forward in using both these technologies for businesses
Close of conference

During this track, learn to implement and grow AI within your organisation. You will hear case studies on the infrastructure requirements for AI, enhancing the way you interact with your customers using AI. You can also view a demonstration of Africa’s first robotic librarian, Libby.

Chair: Dr Jacques Ludik, president and founder of the Machine Intelligence Institute of Africa; CEO and founder of Cortex LogicDr Jacques Ludik, president and founder of the Machine Intelligence Institute of Africa; CEO and founder of Cortex Logic

Case Study: Knowing your infrastructure requirements for AI

Tinus Visagie, Head of Data Integration: Regional Operations, Absa GroupTinus Visagie, Head of Data Integration: Regional Operations, Absa Group

  • Preventing bad data from compromising your decision.
  • Choosing the best service partner for AI deployment.
  • Thinking broadly about your business and AI needs.
  • Making sure you have the basic technologies for AI adoption.
Case Study and Demonstration: Africa’s first robotic librarian

Isak van der WaltIsak van der Walt, Senior IT Consultant and MakerSpace Manager for the Department of Library Services, University of Pretoria

During presentation you will hear the benefits that Libby has brought to the University of Pretoria’s library. You will also get the opportunity to interact with Libby. Isak van der Walt will be delivering the presentation remotely and two of his team members and Libby will be on site to interact with the audience and showcase her functionality.

  • The robotic benefits of Libby
  • How robotics and AI can enhance the employee experience
  • How customer service has been re-evaluated and enhanced
Refreshments and networking
Case Study: The AI-native customer experience

Ernest North, Co-founder, Naked InsuranceErnest North, Co-founder, Naked Insurance

  • Case study of how AI-native companies like Naked are transforming the customer experience by offering new levels of transparency, customer control and convenience.
  • A perspective on the difference between building AI into the core customer experience and using AI to improve efficiencies in legacy business models.
  • A view of how AI transforms the nature of the product/service and the relationship between companies and consumers.
  • A look at the future of AI and customer experience.
Case Study: Redefining banking through the use of AI, ML and Big Data

Dietmar Bohmer, Chief Data Scientist, TymeBankDietmar Bohmer, Chief Data Scientist, TymeBank

  • How digital banking is disrupting and changing the banking industry
  • How the use of AI, ML and big data is translating into a better customer experience and product offer for clients
Close of conference

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