AgendaWednesday, 1 August 2018

Arrival and registration
Welcome and scene-setting

Chair: Johan Steyn, transformation lead: Enterprise Software Quality Assurance, NedbankJohan Steyn, senior manager, Enterprise Quality Assurance, Nedbank

International keynote address – Netherlands: Ethics to Inspire Innovation in Robotics and AI

Dr Aimee van Wynsberghe, assistant professor of ethics and technology at TU Delft (Netherlands) and president of the Foundation for Responsible RoboticsDr Aimee van Wynsberghe, assistant professor of ethics and technology at TU Delft (Netherlands) and president of the Foundation for Responsible Robotics

With robotics and AI used for industrial applications, humanitarian relief, and healthcare aid the world has entered the robotics revolution. As with the introduction of any new technology society must acknowledge the risk for negative implications alongside the promises of good. Developments in autonomy and machine learning are rapidly enabling AI systems to decide and act without direct human control. This evolution in machine autonomy demands greater human responsibility. This involves, among other things, transparency and the capacity to explain decisions made by an algorithm. This also means making choices about the kinds of decisions algorithms will make. This talk will delve into some of the ethical issues raised through the wide spread use of AI and robotics in various sectors (e.g. HR, factories, transportation, and healthcare) and how putting human values at the core of AI systems calls for a mind-shift of researchers and developers. The future of AI and robotics - what this will look like and how it will happen - requires some reverse engineering and ethics can help determine a path towards a future worth wanting.

  • Gain an understanding of the different kinds of ethical questions arising from robotics and AI
  • Identify vulnerabilities resulting from AI and robotics
  • Discover the benefits of using ethics to inspire innovation in robotics and AI
CASE STUDY: Banking Pepper – a fully programmable humanoid robot, the latest addition to the Nedbank family (real world lessons on implementing humanoid robotics)

Fabio Mione, Head of Projects and Strategic Execution for Nedbank Integrated ChannelsFabio Mione, Head of Projects and Strategic Execution for Nedbank Integrated Channels

Nedbank has taken the leap in exploring humanoid robotics through the launch of Softbank's Pepper. Tough lessons learnt in launching South Africa first humanoid robot.

Networking and refreshments
Panel discussion: AI: good, bad, fad?

Moderator: 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
Panelists: Dr Michael D Grant, chief technology officer, DataProphet
Reneé Schoeman, quantitative analyst, FNB
Wikus Combrinck, general manager business intelligence competency centre, ‎Tracker South Africa

The implications of AI with respect to employment, social and workplace impact and where it really stands today in terms of capability. Do we face the rise of the killer robots or are the bots going to be our best friends?

Case study: Credit The use of machine learning, alternative data and smart algorithms to better predict consumers behaviour and improve financial inclusion

Tim Collins, head of Consulting, Product Development and Analytics, TransUnionTim Collins, head of analytics, product development and consulting, TransUnion Africa

A look at how AI and alternative data can help you better understand consumers financial behaviour. This presentation will illustrate how this system is able to predict the future behaviour of consumers and how it then hyper customises or personalises the products based on the profile of the consumer.

  • Gain insight into how a better understanding of consumers spending patterns can assist with mitigating risk
  • Learn how to customise and personalise products for individuals to provide better product offerings to your clients
  • Discover the value of using alternative data
Case study: Banking Productionising Machine Learning: Standards that future-proof your organisation

Michelle GervaisMichelle Gervais, Head of Data Science, Standard Bank Group

Despite today's interest in data science solutions, Gartner's 2018 CIO survey revealed that only 4% of companies have deployed AI solutions within their organisations. With so many companies investing in AI, why is the actual implementation rate so low? How can you ensure that your team is one of the 4%?

In this presentation, we will unpack:

  • Why leaving models in SIT is a bad idea…but why so many companies do
  • Steps to achieving the productionisation ideal
  • The importance of platform health to your productionised models
  • What good governance looks like—including a triage checklist to solving your worst governance gaps
  • Lessons learnt from mobilising the data science practice across Africa's largest bank
Case study: Regulation Applying AI to legal practice

Celia Pienaar, legal project manager, Webber WentzelCelia Pienaar, legal project manager, Webber Wentzel

This presentation will look at how Webber Wentzel is deploying AI internally, as well as some practicalities and considerations for clients wishing to implement AI.

  • Establish how AI is and will continue to affect legal practice (one of the oldest professions in the world).
  • Identify the practicalities of deploying AI in a professional services environment.
  • Discover the legal issues that everyone should be thinking about as AI is developed and deployed in business.
Speed networking session

Meet your match during this co-ordinated time for networking. Spend just two minutes face-to-face with fellow attendees, be they your colleagues, competitors or peers, and answer just three questions: who are you, what do you do, and what does your product, solution, service bring to the table?

Bring 100 of your business cards and exchange details with fellow participants.

Lunch and networking opportunity
Panel discussion: On the road to AI – how do you get there?

Moderator: director: Big Data and Analytics, Barclays AfricaMyles Rennie, director: Big Data & Analytics, Barclays Africa
Panellists: Dr Jacques Ludik, president and founder of the Machine Intelligence Institute of Africa; CEO and founder of Cortex Logic
Dr Michael D Grant, chief technology officer, DataProphet
Reneé Schoeman, quantitative analyst, FNB

This panel discussion will provide insight into the considerations that need to be made before embarking on a journey to AI.

Thought leadership: Solving strategic and operationally relevant problems through operationalising AI, data science, IOT and big data and analytics

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

For businesses to thrive in the smart technology era, they need to be agile, innovative and adapt quickly to stay relevant, given the swift pace of change and disruption to business and society. They need to focus on solving strategic and operationally relevant problems through operationalising data science, Internet of things (IOT) and big data and analytics, and implementing state-of-the-art AI-based end-to-end solutions to unlock value from all available structured and unstructured data. AI-based solutions should address business value drivers that lead to an optimised business, a satisfied and growing customer base, productive employees and smart systems to help accelerate decision-making, innovation, collaboration and growth.
Discover how end-to-end AI solutions can unlock value from all available structured and unstructured data to:

  • Increase operational efficiency, effectiveness and revenue;
  • Create strategic value via faster, better and more proactive decisions, enhanced scalability, new business models, and revenue growth opportunities;
  • Enhance customer experience via real-time, on-demand, digital, personalised service delivery, assistance and advice, which is enabled via 360 degree insights about the customer; and
  • Enable more targeted sales and marketing.
AI and machine learning technologies: What they mean for South African businesses going through their 'digital transformation' journey!

Phathizwe Malinga, Acting CEO SqwidNetPhathizwe Malinga, Acting CEO SqwidNet

AI comprises of different technologies that can be combined in different ways to sense, comprehend, act and learn (think big data coupled with cloud connectivity and the IOT). What does this mean for a business in practical terms? It means creating greater efficiencies and driving economic growth. Companies can now use machine algorithms to identify trends and insights in vast data sets and make faster decisions that potentially position them to be competitive in real-time. AI is making everything simpler and smarter!

The way forward for any business

    • Take the lead
    • Create an open AI culture
    • Adopt a holistic AI approach
    • Leverage the ecosystem
    • Take the crowd into the cloud
    • Reinvent HR into HAIR (Human and AI resources)
    • Converge data for intelligence
    • Learn with machines
    • Take a step beyond automation
    • Measure your return on
    • Analyse and audit
Networking and refreshments
CASE STUDY: Public sector Smart Government: Artificial Intelligence in public sector ICT

Setumo Mohapi (Dr), Chief executive officer, State Information Technology Agency (SITA)Dr Setumo Mohapi, chief executive officer, State Information Technology Agency (SITA)

The presentation will drive the audience to re-imagine the country's socio economic challenges and public service delivery through the lens and context of unconstrained use of technology in general. Specific issues that will be addressed will touch on policy making, health, agriculture, education and land reform and the role of Artificial Intelligence in fast tracking developments and initiatives that can yield results. Practical examples of these are:

  • Better policy making through machine learning
  • Data processing- how do we use AI to process data optimally
  • Automation of agriculture viz a viz land reform
  • How can AI be used to contribute towards basic primary healthcare as an extension of telemedicine
  • How can AI be used towards job creation and added value
  • Re-imagination of public service delivery to solve socio economic problems
Using machine learning to gain business insights

Natasha GovenderDr Natasha Govender, lead data scientist, dotModus

This talk will explain what machine learning is all about, including a high-level explanation of the different types of machine learning techniques, and how to apply the data and use it to produce quantifiable outcomes for companies in various sectors.

  • Discover the meaning of machine learning
  • Establish what machine learning can do
  • Learn how to apply it to data to gain useful insights
Thought leadership: Artificial intelligence and change: how neuroscience helps us thrive through disruption

Rob Jardine, lead researcher, NeuroLeadership InstituteRob Jardine, head, Research & Solutions, NeuroLeadership Institute

The talk will focus on the trends in artificial intelligence and the ways in which this may disrupt the South African economy and labour market. Roles being redesigned and replaced by machines within key industries will be discussed. In an age of work that is becoming more mechanistic, the power of neuroscience may be the answer in providing a new understanding of behaviour in this new world of work, and especially how we approach change. A neuroscience lens will be applied to better explain and understand the behaviour related to collaboration, change and the social nature of the brain. Key insights to the brain will be shared, as well as a model to better explain the social triggers that influence cognitive and physiological responses in the brain with regard to inclusion, change and collaboration. This will enable participants to better understand behaviour and plan strategies to mitigate the negative effects of change by focusing on collaboration and inclusion in order to enable performance to thrive through disruption.

  • Explain the social needs of the brain and how the brain reacts to change.
  • Understand the effects of inclusion and collaboration on performance.
  • Demonstrate practical examples to create change readiness in the new world of work.
Case study: Insurance Embracing digitalisation/AI to be able to compete with the biggest technology disrupters

Vera Nagtegaal, executive head, Nagtegaal, executive head,

Artificial intelligence is playing an increasingly active role in the financial services industry, from risk analysis and mitigation to regulatory compliance and client interaction – machine learning is proving its worth.

  • Understand the role of AI in the financial services industry.
  • Gain insights into the rise of FinTech businesses.
  • Learn how regulations such as POPI will impact AI and data services across industries.
  • Discover how South African consumers are responding to robo-advisors.
Thought leadership: AI and South African business: tales of transformation and impact

Dr Michael D Grant, CTO, DataProphetDr Michael D Grant, chief technology officer at DataProphet

This talk covers some of the common hurdles South African businesses face in the adoption of AI, and how we've overcome these constraints. The effect of these systems on both the business and the people in the business are discussed, with the talk touching on as much change management as technical content.

  • Understand how the people in your organisation control the adoption of technology.
  • Determine where AI and machine learning can add value now.
  • Adopt successful change management strategies in AI/ML projects.
How to improve customer experience in a B2C environment by using Robotics and AI

Rein van der Horst, Digital Transformation and Innovation, Cognition LabsRein van der Horst, Digital Transformation and Innovation, Cognition Labs

Understand where to start when embarking on a Digital customer experience journey.

  • Discover how Digital tools be used to improve customer experience
  • Find out how important your existing data is when embarking on such a journey
CASE STUDY: Retail Enterprise mobility, AI and machine learning in the retail execution space

Andrew Dawson, commercial director at MacMobile and Solutions-in-HandAndrew Dawson, commercial director at Macmobile and Solutions-in-hand

This presentation will cover some of the challenges currently being experienced in the retail trade and how image recognition, backed by machine learning and artificial intelligence, will help to manage the challenges.

Close of conference


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