AI has been trending for some time now and it’s become a huge topic in the tech world. More and more businesses are incorporating machine learning into their processes and products to boost user experience and productivity.
But how exactly is AI being used, and what tools are currently changing the tech landscape? This is what we look at below.
AI Content Generation
Perhaps the best-known example of AI tech is content generation and AI models like ChatGPT. These have become something of a phenomenon in the last few years. The premise is simple – you ask the AI model a question or give it some instructions. The AI model then uses the information it has been fed to give you an answer.
These models are incredibly complex and are fed huge amounts of data so that the answers they give are accurate. In terms of usefulness, tools like ChatGPT can drive productivity. For example, you could ask ChatGPT to provide a blog outline for you based on an article title or subject.
These models can also be incredibly useful for research and idea generation.
AI-Powered Search Results
You’ve probably noticed how Google has recently started trialing its Gemini AI search feature and its AI Overview feature for SERPs. This is probably the best-known example, and it can be quite handy – you get an overview to what you have searched for, and this can often save time.
Similar features are being integrated into other AI-powered search tools, enhancing search functionality. Again, this is possible because of the processing power that machine learning models possess, and how they can correlate and analyze data faster than the human brain ever could.
Data Threat Intelligence Platforms Using AI
Threat Intelligence Platforms are the latest development in cyber security and AI plays a major part in how they work. The premise is simple – the aim is to have proactive cyber security defenses that can stop threats before they ever penetrate your systems.
Threat intelligence platforms use machine learning and AI to analyze vast amounts of security data from public and/or secure feeds. They will analyze new developments and trends in cyber criminal activity so that you can then alter your systems and keep your security one step ahead.
Website Personalization
Another area where AI is being heavily utilized is website personalization. Today, we expect far more from our web browsing experiences – whether at an online casino or while browsing an online store.
We expect tailored experiences, and the information displayed to be relevant to us. AI does this via in-depth analysis, predictions, and behavioral monitoring. For example, at platforms like German online casinos, AI models could be used to analyze which casino games you prefer to play.
After the data has been gathered, the casino can then give you a tailored list of game suggestions to improve your gaming experience. Similarly, the casino might utilize AI to provide tailored casino bonuses based on what you enjoy. For example, they might offer more free spin promotions to those who mainly play video slots.
AI does a far more effective job of tailoring website content and this means you get a better experience, but the website owner can also compete better.
AI is Here to Stay and Will Continue to Play a Major Role in Tech Developments
These are just a few examples of machine learning and AI use in tech and how it’s shaping the digital world. We believe that this is the way forward and that when used in complementary processes such as these, AI can greatly enhance tech and give end users a more satisfying experience.
It will be incredibly interesting to compare the AI tech in this article, with what is being used in 10 years’ time – we expect it to be radically different!
