The rise of AI technology has put pressure on businesses to adopt it. ChatGPT is an example of a new use case that is transforming entire industries. Companies must consider how their infrastructure will handle the demands of such developments. AI is now more resource-intensive due to the training of large language models. Compute and GPU technology are being used to handle the demands of AI. Cloud providers are also offering AI-specific services. However, there are still challenges such as latency, cost, and security that need to be addressed. TechRadar reported on this issue.

Business leaders are looking to generative AI resources to help with upskilling and retention in 2024. According to a blog post by Journalists Log In Sign Up, the use of AI resources is becoming increasingly important for businesses to remain competitive in the future. AI resources can help with training and development, as well as identifying and retaining talent. They can also help to improve employee engagement and productivity. Business leaders are looking to generative AI resources to help them stay ahead of the competition.

Small businesses are increasingly turning to Artificial Intelligence (AI) to streamline their operations and save money. According to a survey by the Small Business and Entrepreneurship Council (SBEC), 48% of small businesses started using AI tools in the past year, and 29% have been using them for one to two years. AI tools can help small businesses save time and money, allowing them to focus on other areas of their business. AI can also help small businesses automate tasks, improve customer service, and gain insights from data.

Artificial Intelligence (AI) has come a long way since its speculative science fiction roots. It has now become a fundamental pillar of modern business. This article looks at AI's brief yet impactful history in the business world, from its theoretical roots to its current status as a transformative force in the global market. The early years saw significant academic interest in AI, but it was primarily confined to research laboratories. The 1980s marked the first wave of AI entering the business arena, with the emergence of expert systems. The internet era saw a pivotal boost for AI with the vast amounts of data generated by digital activities. This led to companies like Amazon using AI for personalized recommendations. In the 2010s, AI made the leap from a niche technology to a mainstream tool for businesses of all sizes.