The conference focuses on the transformation of the healthcare industry in Africa through Artificial Intelligence: AI is increasing efficiencies in drug discovery, radiology, patient risk identification, primary healthcare, diagnosis and treatment.
Meet with prospects at the operational level and C-Suite. Network with the right people at the right time.1
Our impressive line up of speakers and panelists will share with you first hand information about developing AI solutions.3
Forge long term relationships with Executives from Hospitals, Pharmaceuticals, Biotech and, Health tech AI, health insurance, Academics...2
Be the center of our digital marketing and sponsorship opportunity. Share your insights and get exposure for your brand.4
Head of AI at Mint Group
Peter Reid started in the Microsoft Enterprise Content Management space 19 years ago with Intervate – a T-Systems company. From working as a developer, consultant and architect, Peter became the Productivity Division manager in 2015 and then took the reigns as the CEO in the beginning of 2016.
With an avid interest and passion for Artificial Intelligence, Peter partnered with Mint Group to establish the first AI division for the Group in September 2017. Since inception Peter and his team have flourished under the Intelligent Insights (II) brand, delivering significant transformation to the public, healthcare and commercial industries in South Africa through the application of disruptive AI solution to address local challenges. Owing to the transformational projects and disruptive solution innovated Mint Group has secured many international awards recognising the innovation that its II division delivers.
The II business focuses on Business Transformation through Artificial Intelligence, driving true Digitisation in customers with the use of advanced Machine Learning, Cognitive Computing and Artificial Intelligence techniques.
CEO and co-founder of Envisionit Deep AI
Jaishree is the CEO and co-founder of Envisionit Deep AI, an innovative medical technology company that utilizes artificial intelligence to streamline and improve medical imaging diagnosis.
She is a paediatric radiologist and a dedicated medical specialist who has served the state health care system for 20 years. She has chaired the South African Society of Paediatric Imaging (SASPI), is the President of the African Society of Paediatric Imaging (AfSPI) and serves on the Executive Council of the World Federation of Paediatric Imaging (WFPI) and African Society of Radiology (ASR).
She pioneered the paediatric radiology sub-speciality after becoming the first South African qualified paediatric radiologist at the Red Cross War Memorial Hospital in 2010 In her previous roles she was the head of paediatric radiology at Charlotte Maxeke Johannesburg academic hospital (2010 to 2016) and thereafter at Nelson Mandela Children’s Hospital where she commissioned the department, set up governance systems, policies and protocols and successfully led the radiology team as the first department that opened the hospital in June 2017.
As a visionary and leader in her field, Jaishree knows that developments in technology are transforming the role that radiologists will play in a health system and that future radiologists need to embrace this innovation. Her special area of interest in pattern recognition and deep learning in radiology is driven by her passion for her sub speciality and the need to positively influence the lives of children by offering sustainable healthcare solutions in Africa.
Chief Digital Officer at IoTDot4
Antonie is a Professional Registered Engineer, holds a PhD in Engineering. Author of +50 articles and speaker at +100 conferences Extraordinary Professor, appointed at University of Stellenbosch. An expert in algorithm design for business optimization.
Deputy Director IT Systems in Health City of Johannesburg Health Department
I have in-depth experience in project management, IT development, and business analysis within a variety of business sectors. These include public service, banking, mining finance, manufacturing, power utilities and telecommunications. In particular, my experience within these sectors extends to end-user applications, electronic health, cryptography, security systems, and banking production systems.
I am competent in all the areas of the IT life-cycle, from system analysis to production support. I complement my technical skills by being an accomplished presenter. I have run strategic IT planning courses, teaching prospective clients on the formulation of the strategy and then in consultation with the client, developing the IT plan on the basis of the strategy. My strength is being able to work at the strategic level and to then to operationalise the chosen strategies. Unlike many managers I have extremely strong technical skills, with the ability to integrate modern technologies with the current business.
AI enthusiast. Senior Manager: Process Innovation at IQBusiness South Africa
Artificial Intelligence enthusiast. Conference speaker, author. Software Quality Engineering professional. Johan is a business development specialist who has been selling technology products and services in South Africa and in Europe over the last 20 years. During the last decade, his focus turned to the Software Quality Assurance and Testing market. He worked in senior roles for global consulting firms, and at one of the largest banks in South Africa. He is an Artificial Intelligence enthusiast and speaks globally on the Fourth Industrial Revolution and Emerging Technologies. He is currently with IQBusiness, a management consulting firm.
Lead Data Scientist for Momentum Health Solutions
Lead Data Scientist for Momentum Health Solutions with 5+ years of experience in data analytics and predictive modelling. Currently leading the Health Data Science team in building machine learning predictive models for the health insurance industry”.
Co-Founder of ecosystem.Ai
Innovator and entrepreneur in the world of intelligent technology innovation. Currently involved in a number of projects that focus on artificial intelligence and how the human-social dimension is used to produce more reliable predictions through computational social science. Machine learning is used in a number of situations that require effective use of data with supervised and unsupervised related algorithms. Including human behavior, where re-enforcement learning and inference get used, is pushing us into a new realm of research.
The last 20 years: working at the cusp of innovative technology and business models in product design and delivery. Interested in mega-waves of change and how humans transform themselves through cycles of innovation and intelligence. Spent the first half of my career caring about the “how” of innovation, leading up to the completion of my PhD in 2001. The influence of digital and technological inventions on the human, lifted my focus to the “why” humans innovate. Now the focus is to build prediction models that can be deployed into real-time systems.
Adjunct faculty at the Gordon Institute of Business Science and California State University.
AI in the Healthcare