AI models facilitate the quick generation of images for websites, social media, applications, and more. AI-generated images save money compared to hiring a graphic designer who could charge US $60/hour. SMEs may be unable to hire a prompt engineer, but becoming adept in image generation only takes practice. IT leaders and marketing professionals in SMEs can look to AI image generation as a cost-effective strategy for marketing images.
ChatGPT Edu aims to bring responsible AI use to educational institutions. Despite its security and privacy features, there are still concerns with ChatGPT Edu and other similar AI products. CIOs and education technologists can read this article to learn about ChatGPT Edu’s strengths and shortcomings.
AI is becoming a necessary software feature for vendors to stay relevant and ahead of their competition. One major issue with AI in software is the trust that your business data is private and protected. Without this trust, your data could be used by your software vendor or third parties to train their AI models. This article discusses how to manage software with AI to protect your data.
AI benefits healthcare by improving the speed of patient diagnosis. Hallucinations are one concern in this process because they can lead to incorrect treatment. Chain-of-thought (CoT) prompting solves this by instructing an LLM to use advanced reasoning to find the best possible answer. Healthcare professionals who use AI can consider using CoT prompting to improve diagnosis speed and accuracy.
Natural disasters are devastating forces that cripple infrastructure and result in deaths if the affected region is unprepared. Traditional weather prediction models are computationally expensive. AI weather prediction models provide faster, higher-quality predictions. Government officials tasked with emergency management can use AI weather prediction models to improve their preparedness and response to natural disasters.
Retailers are facing a surge in shoplifting–highlighting a need for advanced techniques to deter theft effectively. AI tools offer promising results to deter shoplifters and allow retailers to not only reduce theft but also improve overall operational efficiency and customer experience. Tech leaders must learn about the latest AI methods that will enhance their store’s security.
High-quality data is an important requirement for a successful AI model. Meta’s Llama 2 and 3 were trained on 2 and 15 trillion tokens, respectively. One method of obtaining data is through web scraping. This has led to many businesses suing AI developers for using copyrighted material. IT leaders and Content Strategists can prevent their data from being scraped by blocking web crawlers that gather data for AI training.
AI has a significant positive impact on sports operations, efficiency, and viewer engagement. Many teams already use AI to increase their competitive edge. Now is the time for their sporting bodies to follow their example so that AI use becomes standard practice for their sporting events. Technology leaders must guide large sporting bodies to get started and become pioneers in the sporting industry.
2024 saw significant shifts in technology, with the EU's AI Act and DMA impacting businesses alongside the rise of modular laptops and the persistent threat of cyber attacks. This review highlights some of the developments that interested IT leaders. This list suggests CIOs and IT executives should continue to prioritise compliance, evaluate new technologies, and strengthen cybersecurity in 2025.
The continuous improvements in AI have led to their rise in use as a tool to commit insurance fraud. This causes insurance companies to lose money and increase premiums to cover the costs of paying out fraudulent claims. CTOs and cybersecurity leaders in the insurance industry must implement fraud detection methods to combat AI and deepfakes.