Chair: Johan Steyn, senior manager, Enterprise Quality Assurance, Nedbank
Dr 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.
Fabio 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.
Moderator: Dr 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?
Tim 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.
Michelle 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:
Celia 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.
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.
Moderator: Myles 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.
Dr 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:
Phathizwe 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
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:
Dr 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.
Rob 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.
Vera Nagtegaal, executive head, Hippo.co.za
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.
Dr 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.
Rein van der Horst, Digital Transformation and Innovation, Cognition Labs
Understand where to start when embarking on a Digital customer experience journey.
Andrew 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.
DFA finances, builds, installs, manages, and maintains a world-class fibre network to transmit metro and long-haul telecommunications traffic in South Africa. We started rolling out our network in South African cities during October 2007 and have rolled out in excess of 10,000 km of fibre route, which we manage and operate with an uptime of 99.99%. DFA leases secure transmission and backbone fibre infrastructure and provides associated carrier-grade connectivity services to telecommunications operators, Internet service providers, media conglomerates, tertiary education institutions, municipalities, government organizations, and other businesses, large and small, on equal terms.
Please visit www.dfafrica.co.za
Dotmodus holds a Google Cloud Specialisation in Data Analytics and has been a Google partner since 2010. Our core areas include Data Analytics, Infrastructure, Machine Learning and App Development.Our Specialist Areas include Rapid Cloud Data Warehouse and Data Lakes & Machine Learning Model building and testing. We work with Google Cloud ML, Tensorflow, Google Bigquery, Google Cloud Dataflow & Google Pub-Sub. Our aim is to help customers build their digital goals on Google Cloud Platform. We do all of this on a large scale and we do it fast.
See more at: www.dotmodus.com.