Kefreen Batista is Vice President of Technologies at Globant, discusses the arrival of new advanced AI search engines and the progress users can expect to see.
Looking back on International Internet Day, celebrated on October 29, it is worth reflecting on search engines.
With just one click, millions of results appear in a matter of seconds, demonstrating the importance of this technology for business and daily life. But have you ever wondered how it actually works?
Search engines use sophisticated algorithms to crawl, index and analyze web pages, determining the relevance of each piece of content to specific queries. Over the years, these tools have evolved with the incorporation of Machine Learning and Artificial Intelligence (AI), allowing for more accurate and personalized responses.
In recent years, AI has become central to companies like Google and Microsoft. Technologies such as natural language processing and image recognition have made these engines smarter, helping them understand user intent and deliver more appropriate results.
One example is Bing, which uses AI to provide suggestions during searches, while Google employs the RankBrain algorithm to interpret complex queries, identifying synonyms and relationships between words.
With the arrival of new advanced AI models, such as OpenAI’s GPT-Search, the search experience continues to evolve. Currently, GPT-Search is on a waiting list, but it promises to offer a new approach to improving the accuracy and quality of results by integrating language generation and contextual understanding capabilities.
The model will be able to provide more natural and personalized responses, broadening the way users interact with search engines.
These AI algorithms use Machine Learning to ‘learn’ from large volumes of data, identifying patterns and trends, which improves the quality of predictions and recommendations. However, the process behind search engines is quite complex. It all starts with web crawling, where bots explore the Internet in search of new content, following links and building an updated index of information.
After indexing, the algorithms come into action, analyzing factors such as keywords and the quality of links pointing to a page, determining which content will be most useful to the user.
As these technologies continue to evolve, we can expect GPT-Search and other innovations in the field of AI to play increasingly important roles in offering more accurate and personalized search results.
AI is undoubtedly shaping the future of search engines, and its impact will be increasingly relevant in the Digital Transformation of companies, being a key piece for the advancement of technological innovation.