Thought Leaders in Big Data: David Bernstein, Vice President of eQuest’s Big Data Division (Part 6)

Sramana Mitra: I have seen this in other sectors, where a company is essentially offering a software as a service, but it is also offering a business process outsourcing. We can call it SaaS-enabled BPO. There is a company we have covered extensively, called Sabrix, that has a very refined ability to do tax calculations using different countries’ laws. Algorithmically it is very complex. But they don’t only offer it as software and as a service, they also offer the people on top of it to drive the program. >>>

Thought Leaders in Big Data: David Bernstein, Vice President of eQuest’s Big Data Division (Part 5)

Sramana Mitra: So, you are basically looking at your data and doing predictive modeling.

David Bernstein: Correct. There is predictive modeling, and then there is the branch fraction index. The benchmarking ability in a real-time comparison is not a level of insight or capability that has ever been within an HR person’s grasp. I have been in this space nearly 20 years. In my time I have had a variety of positions, from being a direct recruiter, a leader of global technology teams, and a director of talent acquisition. >>>

Thought Leaders in Big Data: David Bernstein, Vice President of eQuest’s Big Data Division (Part 4)

Sramana Mitra: So, you are basically optimizing job advertising campaigns for your clients based on your extensive knowledge [of] data that is flowing through your system and of the behavior of different clients. Let me ask you about trends because you are doing big data on a very large scale. What trends do you see in terms of jobs? Are there specific kinds of jobs that are easier to fill than others?

David Bernstein: I can’t answer that question in only one way. We can start answering exact questions like this by having a particular function or recruitment market in mind. From there we would begin to be able to talk about what we see in that market and which jobs are most frequently requested – if that market is the entire U.S., or if we would we narrow it down to cities or regions in a part of the country. >>>

Thought Leaders in Big Data: David Bernstein, Vice President of eQuest’s Big Data Division (Part 3)

Sramana Mitra: When you make that recommendation, what is happening in the back end?

David Bernstein: We bring forward a recommendation of the job or outlet to be used by our client – at which point in the year and for which positions [they should use certain outlets]. To get to that, we study the markets they are recruiting in. We look at recentness, frequency, response rates, and the level of the position and the way they describe the position in a posting title against the function the job encompasses. Then we look at the response patterns of candidates to help our customers understand which boards produce the most candidate flow or which boards are most appealing to our customers. >>>

Thought Leaders in Big Data: David Bernstein, Vice President of eQuest’s Big Data Division (Part 2)

Sramana Mitra: Let’s discuss what kind of big data–related work you are doing.

Dave Bernstein: Probably you are looking to know more about where big data is born – the concept of the transaction itself and the residual information. The transaction it creates has become a core base of a lot of the big data. This is the genesis of our big data. We are bringing together the information from the transaction, the results of the transaction, and the residue or the “data exhaust,” as it is often referred to. >>>

Thought Leaders in Big Data: David Bernstein, Vice President of eQuest’s Big Data Division (Part 1)

David Bernstein is the vice president of the big data division at eQuest, a major job posting distribution company. Each year, more than 250 million job postings are delivered through eQuest. In this interview, David talks about how eQuest handles big data, how information is being gathered to provide customers with accurate consulting, and trends for the future of the field of human resources.ss

Sramana Mitra: David, let’s start with some context about eQuest and you. Our audience loves niches, but those niches need to be introduced before.

David Bernstein: eQuest is 18 years old and has been primarily serving as an infrastructure for productivity support tools [as] a component of talent acquisition, which [includes] job board posting services.  >>>

Thought Leaders in Cloud Computing: Joel Young, Senior VP of Research & Development/Chief Technical Officer of Digi (Part 5)

Sramana Mitra: That is the direction I was going in earlier.  You talked about your Internet of things business in a range of about $100 million.  What is the size of the current Internet of things industry?

Joel Young: In the commercial business and in the commercial space, where we play, it is a billion to a billion and a half dollar industry. It is difficult to count, because you can’t count every microprocessor there is.  I counted cellular modules companies which specifically target cellular modules for internet of things applications.  It is easy to calculate a number of ways, but the question is, what is the most meaningful way? >>>

Thought Leaders in Cloud Computing: Joel Young, Senior VP of Research & Development/Chief Technical Officer of Digi (Part 4)

Sramana Mitra: Putting a wireless chip or a sensor into a device is a commodity business, but it is more of a disintegrated solution with which you differentiate your offer.  Is that correct?

Joel Young: That is correct.  What we always did was looking for ways to create additional value.  When we first had to go wireless, we added wireless.  When people understood wireless, we moved on to the broader cellular.  When people figured out how to do cellular, we added management capabilities.  As we moved up and added value we continued to broaden ourselves.  Now we make hardware – we make a lot of widgets and radios – but our value is to put together the full solution.  It never gets to the discussion about buying a radio from our competitor for five dollars less.  It is a losing battle when you end up in that kind of business. >>>