Artificial intelligence is the holy grail of the information age and the hot topic du jour. The hype was triggered by the revolutionary chatbot ChatGPT, which has turned our concept of non-human intelligence on its head. With a few key words, the AI creates seemingly authentic essays that stand up to critical scrutiny, produces code in various programming languages, and gives brilliant answers in dialog-based exchanges. ChatGPT is already writing adverts for Ryan Reynolds, and even the almighty Google could be put under pressure by the intelligent software, as suspected by Der Spiegel. However, with Gemini, the search engine king has long since launched its own high-performance AI.

Artificial intelligence and machine learning together have largely contributed to our lives making it easier to some extent. They play an important role in changing the way we perform, our lifestyles, business operations, etc. several AI tools and ML have been adopted by several businesses, across industries, for a few years now. The use of AI in graphic designing generates a whole new world of possibilities to work on the images. With rapid growth and advancement in technologies, people do see AI as a threat as they believe that AI will replace manpower. In the case of graphic designing, it is not like AI is replacing or will replace the designers; rather AI is more like a design partner and there are AI tools that make the complex task easier for the designer.

The tech giants already know this and are investing in democratizing AI to make tools and services more widely available, but the user experience (UX) of machine learning is still overlooked. Companies can make massive improvements to machine learning-based applications even without access to the same levels of data or talent as the biggest players -- compensating for a lack of data by building a great UI (more on this later). When we focus on AI as a tool and recognize how crucial usability is to widespread adoption, we can see that there are opportunities to enhance existing AI in ways that have nothing to do with progress toward human-level machine intelligence or artificial general intelligence. While flashy projects like DeepMind and Google Brain are more likely to make headlines than Google's more mundane implementations of AI, such as search, the latter is a vastly more profitable business. According to a recent MarketWatch article, Google has "made a massive multibillion-dollar bet on AI and machine learning," a bet I believe is nicely hedged on the question of whether there'll be another "AI winter," a period of reduced interest in AI.