Amidst the buzz around Generative AI, here are some insights. For tech execs, staying ahead in this transformative technology is crucial. The first step is to familiarize with its evolving capabilities.
ChatGPT is popular, but every online software provider offers their own AI options. They compete to improve and monetize their products, leveraging AI advancements. Staying updated on changes is crucial for incorporating AI into your organization’s tech model.
Why the sudden attention? AI has been around for over 20 years. I worked on projects integrating AI and data analytics into software solutions. But, slow and unresponsive software hindered the feasibility due to limited database searchability, inadequate data storage, and constrained computer memory.
Today, we delve into massive storage and quantum computing, unlocking limitless processing power. Generative AI is the next tech evolution, enabling greater achievements as machines store information and perform faster. When integrated thoughtfully, it offers a competitive edge for businesses.
AI expedites tasks like business reporting, where teams gather data for annual reports. Analyzing a company’s performance, investments, and strategy can now take minutes. Any role involving data aggregation is ideal for Generative AI. Should you fear AI? Some may, as they see it as a job threat. Consider software developers who write code daily. With input from end-users, AI can generate software that once took weeks. Developers still need to review and ensure complex logic aligns with expectations, but many manual tasks can now be automated.
In future posts, we’ll discuss the algorithms that power smart technology. Combining these algorithms with stored and managed data in models allows AI to adapt content to different scenarios. Storing everything helps AI “learn.” Check out this post for more on AI fears.