Machine Learning News
How AI & Machine Learning Can Provide Defense Against Cybercrime
Nowadays, threat actors are leaning on new tools and techniques to improve the efficiency of their attacks. Only artificial intelligence (AI) and machine learning move quickly enough to defend organisations in this evolving cyber threat landscape. “In the past three months, we’ve been seeing more speed and speed can kill,” says Derek Manky, Chief Security Strategist & VP Global Threat Intelligence at FortiGuard Labs. Threats have been getting into a system, hitting the targets, exfiltrating data, demanding ransom, and getting out of a system, much quicker than normal. This includes attackers capitalizing on new vulnerabilities, zero-days and n-days. They also appear to have become more aggressive, with double extortion, triple extortion and targeted attacks. “Their approaches are more ...
The 2 Challenges that SA’s “Culture of Digitalisation” Faces
Image sourced from Harvard Business Review. Technology is only successful if it is used. And today, business leaders in companies around the world need to shift from a tech-centered view of digitalisation and start considering how to nurture a culture that embraces technology wholeheartedly. This shift is becoming increasingly urgent because mobilising teams, channeling resources, and accelerating learning and development doesn’t happen overnight, but on the other hand, disruption can strike fast. It’s better to be ready and adaptable to the future, both resource-wise and also culturally, than risk being unable to compete. Many early adopting businesses are already some way down this path, for instance automating processes to improve product and service experiences, maintain business conti...
Investing in STEM Crucial for African Countries to Benefit from 4IR
Image sourced from STEMpedia. To ensure African economies benefit fully from the fourth industrial revolution (4IR), and the data economy it will bring, there are several trends that industries on the continent need to fully embrace. These include artificial intelligence, cloud, machine learning and the Internet of Things. Enabling the utilisation of these, however, requires two pivotal focuses. The first is an investment in infrastructure. The second is Science, Technology, Engineering and Maths (STEM) skills development, so that African economies have the core competencies needed to participate in the data economy, says Adesh Nathalal, Education Manager at SAS in South Africa. The clock is ticking. By 2030, the above needs to be accomplished to ensure African economies can leapfrog devel...
