Our business audience is buyer supplier focused and comprised of Enterprise decision makers / CxOs, allied to AI Cloud platform providers, Tier 1 / 2 deployment & service providers, AI start ups / innovators, investors, educators, government and AI ecosystem community builders. AI Expo Africa 2020 will have 4 main online speaking tracks, expo hall, poster wall & networking zone. You will learn about real Enterprise case studies and the application of AI and Data Science in Business TODAY, available technology and cloud platforms, deployment challenges, ethical considerations allied to the vibrant innovation and start up ecosystem driving the industry in Africa. "AI Expo Africa was nothing less then inspirational. "What an amazing few days spent with like minded individuals, organizations, startups, enthusiasts and those just plainly curious!" Izak De Beer, SAP "Talking to the smaller vendors, particularly the ones in the Innovation Cafe was the highlight for me" Gordon Inggs, City of Cape Town "I learnt so much at this year's AI Expo Africa and cannot wait to return next year" Khumoetsile Khumalo, Absa Bank "It was great the see a diverse field of innovators across business, academia and social enterprises take on our continents challenges" Francis Mumbi, Stanbic Bank My brain has been opened to a whole new exciting world for me" John Morison, Polyoak Packaging "Great event, had a fantastic panel discussion regarding youth and woman" Brigitte Binneman, Technology Innovation Agency, South Africa We are helping lay the foundations for an AI Powered Future for Africa, fostering B2B trade and investment around 6 key themes with a strong business development and growth narrative.

Smartphone apps that use artificial intelligence to assess skin cancer risk based on images of suspicious moles aren't ready for prime time, a recent systematic review in the BMJ suggests. The 9 studies included in the review "showed variable and unreliable test accuracy" for 6 such apps, 2 of which are approved by European regulators as medical devices. Of those 2 apps, only 1 was supported by published peer-reviewed studies, and its accuracy in those studies was poor compared with experts. The reviewers concluded that, overall, the 9 diagnostic accuracy studies were small and of poor methodological quality. Among other problems, clinicians rather than consumers usually selected which moles were assessed and took the pictures.

Oslo based SaaS company ADLINE is a marketing platform that promises to streamline digital marketing and advertising,and eliminates the exhausting task of monitoring several channels separately for a thorough analysis and overview of effective marketing. Adline will fit in with everyday marketers or business owners, marketing teams or agencies looking for a simple system for all their digital marketing – from analysis to traffic and conversion. All designed to help brands get targeted visibility and brand awareness. Adline's mission is to simplify digital marketing and make it easy and accessible to everyone. Budgets are precious in today's marketing and advertising world and relevant allocation, efficiency and conversion is crucial to stay ahead of the game.

UC Davis Health researchers have developed a computer model to screen drugs for unintended cardiac side effects, especially arrhythmia risk. Colleen E. Clancy with Pei-Chi Yang and Kevin DeMarco of her research team (from left to right). Published in Circulation Research, the study was led by Colleen E. Clancy, professor of physiology and membrane biology, and Igor Vorobyov, assistant professor of physiology and membrane biology. Clancy is a recognized leader in using high-performance computing to understand electrical changes in the heart. "One main reason for a drug being removed from the market is potentially life-threatening arrhythmias," Clancy said.

The NHS is turning to artificial intelligence (AI) to help predict upcoming demand for intensive care beds and ventilators during the coronavirus pandemic across England. Trials of the predictive system, known as the COVID 19 Capacity Planning and Analysis System (CPAS), began today at four hospitals. It harnesses the principles of machine learning – algorithms that find and apply patterns in data – to provide statistics, forecasts and simulation environments to the NHS to better plan resources during the pandemic. For example, predictions made by the machine learning system could inform a hospital that capacity will be reached in advance, giving it time to bring in extra resources or share capacity with neighbouring hospitals. If CPAS proves to be accurate, the NHS will look to roll it out across the rest of the country.

Webcast You've finally worked out how to make a latte at least almost on par with the coffee shop opposite the office. However, no matter how in control you're starting to feel during this pandemic lockdown, your 9am is still a mess of access rights conflicts, broken connections, and emails fired into the void of an overworked, remote IT help desk. Few businesses were able to make the fast transition from controlled office environments to dining room tables while keeping security tight without stifling productivity. Join The Register's Tim Phillips and BlackBerry for our next webcast, on April 29, 2020 at 1100 BST, as the enterprise security giant digs into how artificial intelligence can provide threat prevention and protection for remote workers. BB's Stuart Jackson and James Alderman will be on hand to help you chart a clear pathway to good cyber security at home.

We are acutely aware of the travails caused by the COVID-19 Pandemic. Enough has already been written and read. The untold suffering and misery, the massive economic impact and effect on human lives is multitudinous. We wake up each morning and pray that the new day brings lesser pain than the one gone by. Pictures of migrants trudging back to the hinterland, with babies in their arms, moves the bravest of us.

Arxan, a provider of application protection solutions has been acquired to come together with CollabNet VersionOne and XebiaLabs to form Digital.ai, a new software company bringing together business agility, software delivery, and application security into one integrated value stream platform. Terms of the combination are not being disclosed. Backed by TPG Capital, Digital.ai is aimed to revolutionise how enterprises manage digital products that provide value, accelerate revenue growth and enable innovation in today's world. With the addition of Arxan Technologies, Digital.ai platform offers "Security by Design" as an integral part of the software development lifecycle. Arxan provides patented security capabilities such as a dynamic app policy engine, obfuscation, code hardening, threat analytics, white-box cryptography and encryption, and rapid app protection deployment designed for DevOps processes.

Assembling an accurate image of what the inside of an organ looks like is not an easy task. In order to figure out what the inside of a liver or eyeball or brain looks like, said organs often need to be sliced into tiny slivers, which are then individually studied with a microscope. But now, another method of studying the insides of organs--which utilizes AI and a process called "tissue clearing"--is allowing researchers to study these biological structures in a way that's not only far less work-intensive, but also more conducive to understanding how they actually work. Futurism reported on the new process, which has been dubbed "Small-micelle-mediated Human orgAN Efficient clearing and Labeling" or SHANEL. The process is being developed by researchers in Germany, from Helmholtz Zentrum München (a research center), the LMU University Hospital Munich, and the Technical University of Munich.

For three years the West Virginia University Rockefeller Neuroscience Center has equipped 30,000 people with smart rings and smartphone apps to determine, before any signs of illness, whether they had influenza. So it required only some computer algorithm adjustments to launch a pilot project in March to monitor 200 front-line healthcare professionals for COVID-19 and determine the presence of infection and potential for contagion 24 hours before flu symptoms emerge.