How does Tara AI work?



Cisco and other companies are using Tara AI—a matching tool that connects IT projects with freelancers who have the exact skills required to complete them.

Looking for an explanation of how Tara AI works. (I read about it on Forbes but cannot find info about the AI methods utilized via Google search.)

Haas Vi Ng

Posted 2018-11-12T10:11:25.020

Reputation: 21

1@HaasViNg: This is a Q&A site for AI enthusiasts. You may get highly technical or mathematical answers, or references to technology that would require you to read research papers. Could you perhaps explain your current understanding/thoughts on how Tara AI works (if you are a beginner with AI or non-technical, please say so)? That would help someone answering the question to make an answer with the right level of technical detail. Please link the Forbes article that you read. – Neil Slater – 2018-11-12T11:55:38.527

1@NeilSlater "You may get highly technical or mathematical answers, or references to technology that would require you to read research papers", I wish this was the case most of the times, but this is rarely the case, at least, so far :P Btw, if Tara is some AI system, then I think this is actually a question suited for this website (considering also the actual policy regarding the type of questions that can be asked here so far.) – nbro – 2018-11-12T16:34:03.863



This is a start-up company, not a software. There are many clients cannot find right freelancers in a short time, sometimes they take more than a month to find the right freelancer. They use artificial intelligence to help businesses find the ones they expect. Tara AI's software helps businesses automatically scope out and manage projects with freelancers, monitoring the pace and quality of their work, and making sure contractors are paid on-time for their code commits, for example. There are now a lot of companies that use AI technology for the same purpose, for example, Amazon, Facebook, Getdone or Google.


Posted 2018-11-12T10:11:25.020

Reputation: 11

1 states, "Tara AI faces competition from large tech consultancies like Tata or Insight Global, and freelancer and developer marketplaces online like Upwork, Codementor and Gigster." For this reason, how Tara AI works can only be conjecture, as they would be doing all they can to plug any leaks of company confidential information. There won't be any papers coming from their AI experts that describe their matching algorithms and data collection and normalization techniques.

Matching a worker to a project is a matter of scanning a large number of documents about workers with a requisition from the recruiter or recruiters assigned to staff the project. The approaches to apply AI to this problem that could produce favorable results are numerous. It is likely that many of these organizations listed by like to say to experts, recruiters, and project management that they use AI in the matching, even if they are merely using a probabilistic model based on three things.

  • Frequency of words on the web (ambient word frequency)
  • Frequency of words in the resumes
  • Frequency of words in the requisition

Beyond that high level description, I too am constrained by information privacy agreements.

Certainly, semantic nets is another approach that may be in use in some of these organizations, although there is much to do in the field of AI, with the mathematics, the hardware, and the software, before we have cognition components to use that actually understand what, "Full Stack Java Developer," means to the degree that the expert and the team leader who writes the requisition understand it.

It's a set of tricks people use, like the tricks that are used in 3D rendering. The pixels don't have to be perfect ray traced from every light source and reflection for every frame in the render. Just close enough so that viewers are not distracted by digital artifacts is sufficient. With matching people with roles, there is no way to gather enough data to perform an highly reliable prediction.

Due to the complexities of a billion brain cells times however many people there are on the project team, some people just fit into the role in spite of predictors otherwise, and vice versa. That is simple predictive tricks may produce a reliability of placement very close to the use of a deep learner running two floors of data center.

Douglas Daseeco

Posted 2018-11-12T10:11:25.020

Reputation: 7 174