machine learning

WEEKEND SPECIAL: Sputnik discusses AI and ML with CEO of Country Risk Solutions Daniel Wagner

WEEKEND SPECIAL: Sputnik discusses AI and ML with CEO of Country Risk Solutions Daniel Wagner

A new book titled A.I. Supremacy: Winning in the Era of Machine Learning reveals that the pace of progress and change is occurring at exponential rates each year and is becoming so great that many in AI and ML community believe that in as little as a couple of decades from now human level AI will no longer be the realm of fantasy.

AI-driven globalization creating massive disruptions in economies worldwide

AI-driven globalization creating massive disruptions in economies worldwide

The two countries that appear to be the best positioned to leap forward in the coming decade are China and South Korea. Both are light years ahead of the competition.

 When Artificial Intelligence (AI) and Machine Learning are combined with the interconnectedness of global supply chains, they provide a range of unprecedented opportunities and potential perils for international businesses. On one hand, rising efficiency and productivity is permitting exponential growth in some sectors and businesses. On the other hand, the gap in efficiency and productivity between those sectors and businesses that have embraced AI and Machine Learning versus those that have not is also growing exponentially, leaving those at the bottom further and further behind.

Artificial Intelligence and Risk Management

Artificial Intelligence and Risk Management

The cyber era heralded unparalleled opportunities for the advancement of science, technology and communication, and unleashed a range of new attack vectors for rogue elements, criminals and virtual terrorists. The era of machine learning is doing much the same, for the promise of advancement has gone hand in hand with a range of new perils and an expanded set of actors capable of carrying out attacks using artificial intelligence (AI) and machine learning systems. This flows naturally from the efficiency, scalability and ease of diffusion of AI systems, which can increase the number of actors who can carry out attacks against civilian, business and military targets.

All Things Risk Podcast: AI Supremacy - Ep. 91

All Things Risk Podcast: AI Supremacy - Ep. 91

Browse through anything about Artificial Intelligence and machine learning and chances are, you will run into two types of articles: First, you will find all the thought pieces by the likes of the Big 4 accountancy firms, major consultancies, the World Economic Forum and others that discuss all the opportunities that AI provides. Second, you will find very technical articles for the “techies” that focus on the ins and outs of these technologies. What you will struggle to find are pieces and conversations about the key risks and related implications these technologies create with a broader audience in mind. Until now. Today, we talk AI Supremacy.

‘AI will alter the jobs landscape dramatically over the years’

‘AI will alter the jobs landscape dramatically over the years’

India has tremendous potential to meaningfully enter the race for AI supremacy and become a viable contender, but it still lacks a military AI strategy.

AI and the New World of Spying and Fighting

AI and the New World of Spying and Fighting

The world’s intelligence agencies and militaries are, not surprisingly, the furthest ahead in developing artificial intelligence (AI) – spending vast sums of money attempting to better understand how and why intelligent machines end up operating the way they do. In spite (or perhaps, because of) the dramatic progress that is being made by integrating AI into the realm of government, and the degree to which AI is having an impact on such a broad range of industries and sectors, some practitioners and thought leaders worry about its future implications.

The Growing Cyber-AI Nexus

The Growing Cyber-AI Nexus

While the debate about Artificial Intelligence (AI) and augmented reality rages, virtual terrorists—those who operate primarily on the Dark Web—are getting smarter and thinking of new ways to benefit from both, creating methods to operate autonomously in this brave new world. Malware is being designed with adaptive, success-based learning to improve the accuracy and efficacy of cyberattacks. The coming generation of malware will be situation-aware, meaning that it will understand the environment it is in and make calculated decisions about what to do next, behaving like a human attacker: performing reconnaissance, identifying targets, choosing methods of attack, and intelligently evading detection.