Artificial intelligence (AI) continues to advance rapidly, with a forthcoming “AI Appreciation Day” celebrating its achievements and promoting a dialogue on AI ethics. However, some experts believe that the public may have false expectations of AI due to overhype and lack of education. Understanding AI’s true capabilities and limitations is crucial to managing expectations and applying it correctly.
Looking to the future, AI is expected to have an even greater impact across various industries. It will extend beyond marketing and play a significant role in customer service, process tracking, and business efficiency. While it may reduce the need for data engineers, more analysts will be required to interpret the data and ensure AI systems are functioning optimally.
There is a discussion among developers regarding AI’s potential to automate low-code development. While AI can enhance low-code efforts, the idea that it will completely replace low-code development and turn novices into pros is considered incorrect. Low-code tools and platforms increase productivity and reduce errors, making them valuable for engineers, whether they are professional coders or non-technical individuals.
AI is disrupting commerce by transforming the way consumers interact with digital services. Generative AI is enabling greater accessibility in customer experience, providing more efficient and streamlined support. Tools utilizing generative AI can help summarize customer conversations and highlight crucial details for review. By eliminating barriers to entry, such as complicated registrations and external apps, generative AI contributes to positive customer experiences.
AI can also be a force for good in society. In the agricultural industry, AI combined with remote sensing and precision agriculture techniques optimizes water, chemical, and fertilizer application, improving productivity while promoting sustainability. AI’s application in agriculture plays a vital role in addressing global food crises.
Overall, AI’s development and potential are significant, but it is important to manage expectations, utilize it appropriately, and continue the dialogue on AI ethics.
