Keyword Search May Become a Thing of The Past
Artificial Intelligence (AI) emerged during the 1950’s when humans questioned whether computers can solve problems on their own. With technology rapidly developing over the last fifty years, humans now consume information in completely different ways than ever before. But with so many new possibilities, AI also presents a double-edged sword: there is so much data available that it’s almost impossible for us to find the right information in an efficient, timely manner.
We are all familiar with using Google to find the information we need. However, we often browse through various articles and sometimes resort to page two or three to find the answers to our questions or get multiple opinions. In some cases, it can take up to several hours to find the right information.
The Google Flaw
Google is convenient when doing research on the fly, and many people aren’t aware that Bing actually generates more specific, relevant results in comparison. Either way, search engines like Google and Bing have two big flaws. One, they can’t identify who the searcher is, and two, they produce information based on keywords. With over six million articles published on a daily basis, how does one decipher which information is relevant and which isn’t?
Keyword Search Is A Thing of The Past
Can you imagine looking through six million articles to find the one article that is relevant to you? Search engines are a great way to begin narrowing down the information you need, but they are not comprehensive, which is why companies are using AI to:
- Streamline the research process
- Cross-reference internal knowledge
- Minimize the amount of irrelevant information
Advances in AI have resulted in machines comprehending the meaning behind textual data. Humans decipher information and determine what’s relevant versus what isn’t based on what they read, what they know and what they have already experienced. Teaching machines to find information and understand context is still one of the most challenging human-like properties to mimic. With AI, searches are no longer dependent on keywords. The machine reads the article, finds key points, cross-references your internal knowledge, and evaluates the relevance with you, the searcher, in mind.
New Tech Beats Google
Nowigence has developed a revolutionary technology that conducts research for you by merging the world’s information with one’s own institutional knowledge, almost like a virtual assistant that continues to learn. Unlike a human, its capacity is limitless and can quickly sift through information on a daily basis. The key difference is this technology unifies its findings with what you have already collected and can cross-reference colleagues’ findings within your organization, giving you a complete landscape of information and resulting in more agile research and analysis.
Why AI Will Determine the Future of Research
When it comes to productive research, AI will continue playing a critical role in finding personalized information. As more and more content is generated on a daily basis, AI’s role in conducting research is undeniable. Early adopters of AI will likely see significantly better outcomes and improved efficiency when researching different topics, which will lead to better decision-making. Businesses will also be able to quickly identify risks and opportunities.
Nowigence and Orion teamed up and developed an AI-driven NLP platform, powered by Nowigence. It combines novel machine learning with natural language processing techniques. Learn more here.