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.
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Our impressive line up of speakers and panelists will share with you first hand information about developing AI solutions.
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Forge long term relationships with Executives from
Hospitals, Pharmaceuticals, Biotech and, Health tech AI, health insurance, Academics…
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Be the center of our digital marketing and sponsorship opportunity. Share your insights and get exposure for your brand.
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CEO and co-founder of Envisionit Deep AI
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.
Machine Learning & AI Technical Lead @ Pfizer
Machine Learning & AI Technical Lead @ Pfizer
Strategic & technical leader applying machine learning, data mining, visualization and analytics skills to solve key data science problems. Data science is a hybrid field integrating computer science, visualization, statistics, and business knowledge. The standard skill set emphasizes breadth over depth yet both are critical:
● Advise and guide the technical direction of Pfizer’s machine learning, deep learning and AI entries into natural language processing, image processing, and predictive modeling
● Harvard University lecturer teaching the Master’s software engineering capstone and the graduate level, machine learning and data mining courses
● Analytics researcher: developed ~30 novel visualization and analytical tools in use at Pfizer
● Ph.D. in computer science emphasizing artificial intelligence and machine learning
● Master’s degrees: software engineering, applied statistics, applied linguistics, image processing and biology
● Statistician: primary site statistician for 10 years supporting up to 200 scientific researchers
● Broad industry experience including pharmaceuticals, defense, text mining, and education
Experience across software tool sets:
● Statistics software: R/Shiny, Matlab, Minitab, SAS, DesignExpert, JMP, Graphpad Prism
● Languages: Python, Java/Swing/EE, Javascript, Perl, Groovy, Grails, C/C++, OCaml, Ruby, Lisp, SQL
● Industry Software: SpotFire, Plotly, Matlab, Pipeline Pilot, Tableau, Linguamatics I2E, Daylight, Weka
● Big Data: Some experience with Spark, Hadoop (YARN), MongoDB, Pig, Hive
Head of Data Solution @ Medscheme
Head of Data Solution @ Medscheme
Vukosi Sambo is an experienced executive and renowned key note speaker, with extensive experience in healthcare, financial services, FMCG and Market Research. He is an expert specialist in data science, AI & ML, digital strategies, cloud computing & security, risk management and actuarial, business architecture, consumer research and insights, remuneration design, and operations management. He currently serves as the Head of Data Solutions at Medscheme, a leading South African health insurer with almost 4 million lives under administration. He also serves as an Advisory Board Member of Hottopics, a global data and technology events platform with over 15 000 C-level subscribers.
Prior to Joining Medscheme, Vukosi served as Chief Data Officer at Kaelo, held senior roles in Discovery Bank, SAB, Nielsen and Discovery Health. He has won several awards including 2020 Global Top 100 Data Visionary. His background includes studies in Bachelor of Economic Science (Wits), Post Graduate Diploma in Artificial Intelligence from University of Texas (USA), Post Graduate Diploma in Cloud Computing (University of Texas, USA), Post Graduate Program in Risk Management (Unisa), Post Graduate Diploma in Business Administration (Unisa), Post Graduate Executive education in Digital Strategies for Business (Columbia Business School, USA), Certificate in Lean Six Sigma (BMGI University, USA) and Certificate in Advanced Forecasting for Data Analysts (Adcorp Analytics). Vukosi is also certified in Machine Learning, Big Data and Cybersecurity. He is currently studying towards an MBA with Unisa SBL. He is an international conference speaker and contributing writer on Data analytics and technology leadership forums. He is a comrade marathon, two oceans marathon and Soweto marathon finisher.
CEO @Med Sol AI Solutions
CEO @Med Sol AI Solutions
B.Rad Radiography Hons
BsC Neuroanatomy Hons
Certificate in Mammography
M.Rad Diagnostic Radiography
Philanthropist and Startup Innovator in Breast Cancer DML and AI
Breast cancer education activist and local presenter
Chair of the Special Interest Group on Artificial Intelligence and Robotics with the IITPSA
Chair of the Special Interest Group on Artificial Intelligence and Robotics with the IITPSA
Johan Steyn is a Smart Automation & Artificial Intelligence thought leader and management consultant. He is the Chair of the Special Interest Group on Artificial Intelligence and Robotics with the IITPSA (Institute of Information Technology Professionals of South Africa). He writes in his personal capacity.
CEO @ CenHealth
CEO @ CenHealth
A Technology Entrepreneur and Executive, Joel is Founder and CEO of CenHealth, a health technology company that specialises in digital health services and health technology solutions by leveraging emerging technologies; Artificial Intelligence (AI), Internet of Things (IoT), Blockchain, Mobile apps and Cloud Computing.
With over 20 years of global experience under his belt in the areas of Technology Strategy, IT Portfolio Management, Enterprise Resource Planning, Digital Transformation and Emerging Technologies. His skills and expertise have allowed him to thrive in the developed markets of UK, Europe and the US and deliver impact across various industries in emerging economies throughout East, South and West Africa.
As a business leader, Joel’s excellent technical understanding of enterprise related technologies, Information Systems, business strategy and emerging technologies make him a formidable force in his field. In various contexts he has successfully translated his ability to develop innovative business models into substantial revenue growth.
Joel is also a keynote speaker with a unique approach to mapping the relevant, viable technology strategy and solutions to an organisation’s business objectives, strategy, challenges and problem statements. His presentations are insightful, innovative and motivational in content. He actively speaks at conferences, summits, and corporate events, including to internal teams and executives.
His expertise has been garnered across a range of industries including Healthcare, Financial services, Ecommerce, Telecommunications, Mining and Energy in globally listed companies such as BP Chemicals UK, GOV.UK, CitCo Fund services, KPN, Vodacom, DELL-EMC, Anglo American, Standard Bank and BP South Africa.
Joel holds an MSc Information Systems Development from the London School of Economics (LSE) and a BSc in Biochemistry. He is also a certified Practitioner in PRINCE2, P3O and COBIT5.
Senior Lecturer (Pharmacology and Bioinformatics) @University of Western Cape
Senior Lecturer (Pharmacology and Bioinformatics) @University of Western Cape
Dr Samuel Ayodele Egieyeh is a seasoned and highly experienced (over 20 years) pharmacist with B.Pharm (University of Lagos, Nigeria), M.Pharm (University of the Western Cape, Cape Town South Africa) and PhD in Bioinformatics (University of the Western Cape, Cape Town South Africa). He also has post-graduate certificates in clinical research and drug development from the University of Basel, Basel Switzerland. He started his career as a research fellow in 2001 at the Department of Pharmaceutics and Pharmaceutical Technology, National Institute for Pharmaceutical Research and Development (NIPRD), Abuja Nigeria where he was involved in the formulation, production and quality control of a herbal products (notably a herbal remedy for sickle cell anaemia and malaria) and raw material development.
I lead the Computational Pharmacology and Cheminformatics Group (CPCG) at the School of Pharmacy, University of the Western Cape, Cape Town. Our research focuses on computational drug discovery and design, analysis and interpretation of chemical and bioactivity data using cheminformatics, bioinformatics, machine learning and biostatistics techniques in conjunction with relevant in-vitro bioassays in order to discover and design novel drug candidates, especially from natural products, for infectious and non-infectious diseases. As a formulator at heart, we are also involved in the development of novel drug delivery systems for herbal medicine (particularly exploring the use of nanotechnology as a tool for preparation of novel drug delivery systems for herbal medicine).
Founder & Group CEO of Cortex Logic
Founder & Group CEO of Cortex Logic
Dr Jacques Ludik is a smart technology entrepreneur, Artificial Intelligence (AI) expert, founder of multiple AI companies, author, AI ecosystem builder, and award-winning AI Leader with a Ph.D. in Computer Science (AI & Machine Learning) and 25+ years’ experience in AI, Machine Learning & Data Science and its applications. Dr Ludik’s latest book is titled “Democratizing Artificial Intelligence to Benefit Everyone”. He is currently Founder & CEO of Cortex Group and Cortex Logic as AI Engine for Business focused on providing scalable ultra-personalized AI-enabled wellness solutions; and Founder & President of the Machine Intelligence Institute of Africa (MIIA) focused on transforming Africa through AI. Dr Jacques Ludik has also introduced a massive transformative purpose for humanity and its associated goals to help shape a beneficial human-centric future and founded Sapiens.Network as a decentralized, human-centric, user-controlled AI-driven super platform. He has also founded CSense Systems (Africa’s first AI company that was sold to a multinational company, specifically General Electric in 2011) and is involved in building AI-based wellness, trading, smart healthcare and smart education based companies with data rich platforms that leverages AI technologies to unlock business, customer and societal value.
Apart from his executive management roles in these companies, he was previously VP Data Science & Chief Data Officer at Jumo, Director and Big Data & Analytics Leader at General Electric and Senior Lecturer & Researcher at Stellenbosch University. Dozens of his papers on AI were published in Journals & International Conferences as well as a book, Neural Networks and Psychopathology, published by Cambridge University Press (UK). Dr Ludik is also author of a book titled “Democratizing Artificial Intelligence to Benefit Everyone”. He also has a patent filed for Knowledge Fusion. Jacques holds a B.Sc. (Cum Laude), Hons. B.Sc. (Cum Laude), M.Sc. (Cum Laude), and Ph.D. degrees from Stellenbosch University.
Dr Ludik currently also serves on the Advisory Boards of Cirrus, AI Africa Expo and Data Science Nigeria and has launched AIAfrica.wiki via MIIA. In 2019, he is also the recipient of Africa’s AI Leader of the Year Award. His massive transformative purpose is to help shape a better future in the Smart Technology Era, and specifically to help business & society thrive in Smart Technology Era. He is also passionate to help transform Africa through Smart Technologies such as AI, building AI communities & exponential organizations
AI in the Healthcare
“Artificial intelligence in healthcare is the use of complex algorithms and software in another words artificial intelligence (AI) to emulate human cognition in the analysis, interpretation, and comprehension of complicated medical and healthcare data.”
