Technologies such as artificial intelligence (AI), machine learning, the internet of things and quantum computing are expected to unlock unprecedented levels of computing power. These so-called fourth industrial revolution (4IR) technologies will power the future economy and bring new levels of efficiency and automation to businesses and consumers. AI in particular holds enormous promise for organisations battling a scourge of cyber attacks. Over the past few years, cyber attacks have been growing in volume and sophistication. The latest data from Mimecast's State of Email Security 2022 report found that 94% of South African organisations were targeted by e-mail-borne phishing attacks in the past year, and six out of every 10 fell victim to a ransomware attack.

It was the veritable search for a needle in a haystack. With drug-resistant bacteria on the rise, researchers at MIT were sifting through a database of more than 100 million molecules to identify a few that might have antibacterial properties. Fortunately, the search proved successful. But it wasn't a human who found the promising molecules. It was a machine learning program .

By raising awareness about the different pathways into AI and making it more accessible, we want to inspire participation from historically underrepresented groups so that together we can build a more equitable and ethical tech future. AI Ethics and Policy Researcher, Favour Borokini takes us through her career journey and shares what inspired her to join this space and how she landed her current role at Pollicy. She also talks about some of the most common barriers and challenges she tackles on a daily basis and how she deals with them as someone who comes from a non-technical background. She also shares her thoughts on diversity and the most practical tips to get started in this space especially if you're someone who comes from a non-technical background. You can listen to the podcast or read through their conversation below.

Armand Ruiz is the director of the IBM Data Science & AI Elite, a team of 100 data scientists that help customers get started with their digital transformation and AI adoption. Previously Armand led the Product Management team in charge of the Data Science and Machine Learning offerings at IBM. He holds a Master's in Electrical Engineering at Université Catholicism de Louvain and a bachelor's in Telecommunications Engineering at Universitat Politécnica de Catalunya.

Artificial intelligence evokes hope and anxiety. Will we master it, or will it control us? Kwame A. A Opoku and Tendai Joe think a lot about artificial intelligence -- where it's come from and what lies ahead -- from different perspectives. Opoku is a futurist, global business speaker and founder of the think tank, Idea Factory Africa. Joe is involved in software and mobile application development, and digital publishing.

The Artificial Intelligence in sextech Market research report offers key values on the state of the industries. The study involved research on landsca

Artificial Intelligence tools and applications have skillfully tried to manage the analysis, diagnosis, tracing, and development of the pandemic in ways unthinkable with manpower solely. The greatest dilemma with this pandemic was that no one knew what it was and how it would react during the beginning of the pandemic. To make matters worse, Covid 19 has been rapidly mutating since its start, and researchers around the world aren't still quite prepared to interact with such a delicate mutating variant that has claimed hundreds and thousands of lives and has essentially changed the course of history forever. This is where AI's prowess comes into play. With deep learning and the combination of researchers from all around the world, Artificial Intelligence has helped us combat the pandemic in unimaginable ways. The foremost task of AI was to collect as much data as possible about the Coronavirus.

It was the veritable search for a needle in a haystack. With drug-resistant bacteria on the rise, researchers at MIT were sifting through a database of more than 100 million molecules to identify a few that might have antibacterial properties. Fortunately, the search proved successful. But it wasn't a human who found the promising molecules. It was a machine learning program.

Many of the interviewees highlighted that the government and civil society organizationsneed to counter the profit-orientation

It was the veritable search for a needle in a haystack. With drug-resistant bacteria on the rise, researchers at MIT were sifting through a database of more than 100 million molecules to identify a few that might have antibacterial properties. Fortunately, the search proved successful. But it wasn't a human who found the promising molecules. It was a machine learning program.