Learn AI

 articles

The use cases for AI you didn't know existed

You've probably read about how AI is being used in data security, financial trading, healthcare, fraud detection, or elsewhere. AI has taken hold in these industries, in part, because there is “big data” associated with each and ready-made AI solutions. But, what about the industries or use cases that don’t involve mountains of numerical data?

February 3, 2021

Talent classification cited as a new way for organizations to improve internal talent mobility

In the December 7th issue of First Analysis Quarterly Insights, managing director Corey Greendale concludes that there’s a significant information gap that makes it difficult for organizations to optimize internal talent mobility.

February 3, 2021

What it’s like to be intern at Vettd.ai

Vettd.ai college interns are gaining a unique perspective about the difference between classroom learning and real-world experience. They are being challenged to use open-source and low-cost software components to create prototype applications to compliment or compete with alternative approaches to natural language processing (NLP) solutions.

February 3, 2021

M&A Series: How to decide who to retain after a merger or acquisition

With the completion of every merger or acquisition, the electronic ink is barely dry for the Chief of Human Resources and their staff before they are called upon to integrate 500, or 2,500 or maybe 25,000 new employees into the new entity. This is a daunting task that's part art (aka experience + luck) and part science (aka …if only there was some).

February 3, 2021

M&A Series: Talent Classification improves chances of a successful merger or acquisition

For over 20 years, I’ve been perplexed by the inability of the M&A process to properly capture, recognize and sort out all the people that are involved in the integration of two companies.

February 3, 2021

Let’s make the college admissions process more user friendly

The college and university admissions process has plenty of room for improvement based on experiences of two Vettd interns who spent the summer gathering data for a large project. In this blog, the interns suggest several ways to make the admissions process more user friendly.

February 3, 2021

4 Reasons Why Candidate Screening is Not a Human Task

Humans will always play a critical role in the hiring process, but the consistency vs efficiency challenge exemplifies why reviewing resumes is a task better suited for modern machines than modern humans.

February 3, 2021

Unsupervised vs Supervised AI: Not all AI is created equal

But how can you figure out which functions within your business can actually be transformed by AI? What are the quality limitations? How can you evaluate which business service companies are using AI effectively while others could be selling hyped up linear algebra? The best way to know if an AI product is right for your business is by asking the right questions.

February 3, 2021

Truth #2: Companies need to own their AI for HR

No matter what industry you’re in, nearly every organization is becoming an information technology company due to the massive amount of data being gathered about their customers and workforce.

February 3, 2021

Avoiding your enterprise expiration date

In the era of digital transformation, having the right people in the right places will make or break your organization. If you can bring together data about your people and your business and map talent to the needs of your organization, you’ll better understand how to stay ahead of your competition.

February 3, 2021

The Future of AI for HR in Five Truths

Vettd, the leader in deep learning for Human Capital Management, launches new eBook for enterprise HR leaders

February 3, 2021

A.I. — A Trojan Horse for Hiring?

There’s a lot of buzz around artificial intelligence (AI) and machine learning (ML) in talent acquisition right now. It’s important to understand what these technologies are, how they’re being applied, and what impact they may have on the long-term health of your organization.

February 3, 2021

Machine Discovery

We’re seeing more and more about how algorithms and machine learning are being applied behind the scenes in our digital lives. These techniques are being applied to tools used in the HR industry to the point that they are becoming old hat. So what’s next? Machine discovery.

February 3, 2021

Big Data and Hiring

Job seekers and employers have access to almost any information they want these days. This raises a few important questions. Is more data truly useful? Does more information directly correlate to better jobs, better employees, and better matches? How will we measure the impact that big data has on hiring in the future?

February 3, 2021

Top 10 Most Common Resume Typos

We took a sample of over 10,000 resumes and discovered that 7.5% of them were flagged for a “common language” typo. This means that there was a clearly misspelled word somewhere within the resume (as opposed to incorrect word usage which we’ll probably look at later). These typos were clearly the fault of the resume writer. The 7.5% with typos averaged 1.3 typos per resume.

February 3, 2021

159,014 Unique Job Titles

During the creation of Vettd’s backend, we processed hundreds of thousands of resumes to discover that there were approximately 159,014 unique job titles in our sample alone.

February 3, 2021

Reviewing Resumes is Broken

Reviewing resumes can be the hardest and most demanding part of the entire hiring process. It’s extremely time consuming and is the first of many steps in a lengthy process. Unfortunately, it’s entirely necessary because job boards aren’t dead yet and resumes remain the primary way that candidates present themselves to companies.

February 3, 2021

The Managers' Dilemma

The manager’s dilemma: Hiring is the most important thing you’ll do, but has the least predictable outcome.

February 3, 2021