• The Environmental Impact of Artificial Intelligence: A recent study conducted by researchers at the University of Massachusetts to determine how much energy is used to train certain popular large AI models. According to the results, training can produce about 626,000 pounds of CO2, or the equivalent of around 300 round-trip flights between New York and San Francisco – nearly 5 times the lifetime emissions of the average car;
  • Generative Artificial Intelligence (GenAI):  It’s evolving as a valuable solution for automating and improving routine administrative and repetitive tasks. This technology excels at applying foundation models, which are large neural networks trained on extensive unlabeled data and fine-tuned for various tasks. It can effectively identify, summarize, convert, predict and generate content from large data sets. Implementing this technology in the public sector can significantly improve efficiency, enabling organizations to complete their daily tasks with a fraction of the resources; and
  • The Practice of Artificial Intelligence in Healthcare: Blessing or Curse? According to a study by Statista, the global Artificial Intelligence (AI) market is set to grow up to 54 percent every single year. While the whole world seems to be going bananas about AI, there’s a need to acknowledge that AI can’t be either a complete blessing or a curse.  Perhaps the critical success factor should be to strike a balance with the intention to develop and implement workable AI solutions that would empower businesses and governments around the world with the focus to derive the maximum benefits. Nevertheless, like anything else, the success of AI is totally dependent upon who, what, where, when, and why AI solutions are developed and implemented.