Most Promising Digital Economies – 2023
The shift to digitisation has allowed us to improve many of the ways in which we tackle problems, whether breaking down barriers to communication or processing data in efficient and highly precise ways. This has had a huge impact on every industry and sector in the global economy. Recent research confirms that countries gaining expertise in digital technology will definitely reap future benefits. While Singapore tops in digital economy, Indonesia tops in skill.
How green is my data? Part II
With the exponential growth and usage of the Internet, power consumption in data centres has increased significantly. Data centres are the gatekeepers of nearly all of global Internet traffic. However, due to environmental concerns,the widely prevalent approach is to implement green data centres.Data centres are taking various measures to tackle e-waste, maximize energy efficiency, and exploring alternative energy sources to ensure a sustainable tech future.
Complex structures prevent org resilience
Half the respondents in a recent McKinsey survey of over say their organisation is unprepared to react to future shocks. The survey covers more than 2,500 business leaders around the world. Only half say their organisations are well prepared to anticipate and react to external shocks, and two-thirds see their organisations as overly complex and inefficient.Successful companies ask employees to apply own judgment and actively drive success.
‘The Curse’ of Large Language Models – Part I
What happens when Generative Artificial Intelligencebegins to train themselves on content/data generated by their other Generative AI models? Researchers found that it triggered a ‘model collapse’, a degenerative process where generated data ends up polluting the training set of the next generation of models. As AI increasingly trains on its own output, the tech world faces a unique predicament – a potential ‘model collapse’.
China’s Generative AI
Transformative generative AI technology holds the potential to revolutionise various sectors by enabling machines to create and generate content autonomously. However, the rapid progress of generative AI also poses ethical and regulatory challenges. In a recent report published by the MIT Technology Review, the focus is on China’s approach to regulating generative AI, striking a delicate balance between fostering innovation and ensuring responsible and ethical development.
OpenAI tries to check AI chatbots hallucinating
Generative AI which has taken the world by storm, has also raised serious concerns about its ability to spew convincing lies. This has made the creators of ChatGPT, OpenAI to sit up and work harder to undertake a finer grain reward model to alleviate hallucinations.In an attempt to mitigate risks and support related research, OpenAI has released PRM800K, the complete dataset of 800,000 step-level human feedback labels.
5G To Add $1 Trillion to Global Economy
The rollout and adoption of 5G has been faster than that of previous mobile network generations. As of January 2023, 229 operators in 87 markets had launched mobile 5G services.Throughout 2023, some 30 new markets will launch 5G mobile services; importantly, many of these will be developing markets across Africa and Asia, making 5G a truly global technology that is much more than a connectivity speed upgrade.
How green is my data? – Part I
With the exponential growth and usage of the Internet, power consumption in data centres has increased significantly. Data centres are the gatekeepers of nearly all of global Internet traffic. However, power consumption and the resulting greenhouse gas emissions being a global concern – the widely prevalent approach is to implement green data centres.Designed to maximize energy efficiency and minimise environmental impact, green data centres can proactively monitor our journey towards a sustainable tech future.
Big Tech worried about innovation as tough AI regulations are readied for launch
The tsunami of Generative AI across the world has left governments grappling with the need for regulating this technology without fully understanding what it is capable of. Non-profit group Center for AI Safety came out with a stunning statement; “… Despite its importance, AI safety remains remarkably neglected, outpaced by the rapid rate of AI development. Currently, society is ill-prepared to manage the risks from AI.”Tough regulations are ready, but will that curb innovation?
AI makes deepfakes tougher to detect
According to a report in the World Economic Forum in 2022, 66% of cybersecurity professionals experienced deepfake attacks within their respective organisations. Kaspersky found that there’s a significant demand for deepfakes – which far outweighs the supply of them. Individuals who’ll agree to create fake videos are being desperately searched for. AI makes deepfakes tougher to detect.The issue is all the more disturbing of late as tools for AI-generation become increasingly widespread and accessible to the general public.