A Step Towards Artificial Intelligence
06 FEB 2020
Our most significant business here at upLexis is data mining, which means that our technology primarily searches for specific online information and structure it smartly. However, we keep receiving several questions about the use of artificial intelligence for the analysis of the documents delivered.
This article will expose facts that artificial intelligence specialists bring to the everyday use of society, as we feel that one of the next steps for a real optimization of an analyst’s time is the use of this intelligence.
Sometimes we hear questions such as “Will Artificial Intelligence and Digital Transformation end-all of our jobs? Will we live in a world dominated by machines? “
These questions arise a lot from our skewed vision of the future seen in science fiction films, in which artificial intelligence comes down to robots and machines carrying out our activities.
But there is a brighter yet more realistic vision where AI will possibly be making our daily activities much smarter.
This we can see that data mining and data intelligence are related to the core of the activity since both depend on this interaction of innumerable variables to provide information or insights.
Data mining is the process of identifying patterns within the immense sea of data that we create every day, currently 2.5 quintillion bytes.
At upLexis, we use a fraction of the data produced daily to optimize due diligence, background check, third party search processes, plus a multitude of searches from all our customers.
According to the information organized and structured by our platform, our customers use their expertise and analyze this data to make more confident decisions.
In some companies, the data is arranged and delivered in the form of analyzed information according to an action pattern (behavior) previously established, and the system automatically (or intelligently) makes a decision.
Here are some inspiring examples:
- TensorFlow: is Google’s open-source software for those interested in using Artificial Intelligence to improve processes
- Conecterra: this uses the habits of cows on a dairy farm to deal with their health and milk quality, making life easier for the owner’s property, preventing problems that may arise.
- Unanimous: that adopts the principles of swarm intelligence, found in the collective behavior of decentralized or self-adjusting systems to get precise predictions about consumer choices.
- Korbit AI: the Canadian startup uses machine learning to provide intelligent tutors through conversations and interactive exercises.
- Or even the Google Assistant that surprised everyone by making an appointment with the hairdresser very naturally, sounding perfectly like a human being.
Quality AI is only possible after much data gathering, then learning behavior, so there needs to be intensive mining, almost as a primary stage for it to evolve into Artificial Intelligence.
Today we still have the tension regarding the future of work and the new position of the human being as a decision-maker. Yet, it becomes much easier to accept the moment we understand our activities will potentially become more efficient and intelligent, meaning that we can dedicate more time to other challenges in the workplace or even more time for self-development.
The remaining questions to reflect further: what are the first activities to be optimized with Artificial Intelligence within your organization? Do you feel that your company considers this possibility and see its benefits?
We hope you find this content useful, and we will be delighted if you keep following with us.