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INDUSTRY VIEW
WHAT IMPACT WILL THE ARRIVAL OF ADVANCED AI SEARCH ENGINES MAKE ?
KEFREEN BATISTA , VICE PRESIDENT OF TECHNOLOGIES AT GLOBANT
Kefreen Batista , 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
These AI algorithms use Machine Learning to ‘ learn ’ from large volumes of data , identifying patterns and trends .
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 . •
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