Automation and the Future of Jobs

Machine learning and artificial intelligence can help automate workplace tasks. So what does that mean for the future of jobs?

Infinia ML CEO Robbie Allen says that while many jobs will be automated, “they’re the kind of jobs that should have never been done by a person in the first place.”

This is a section of Robbie’s talk at NC TECH’s 2018 State of Technology Conference (thanks to NC TECH for the video). Here’s a written version of this clip:

(more…)

Machine Learning’s Business Impact

CEO Robbie Allen recently spoke about the business impact of machine learning at Adobe’s Think Tank on The Future of AI in the Enterprise.

“I really focus on three areas where I think that machine learning specifically will have an impact,” he said.

“One is reducing costs, and by that I don’t mean that we’re displacing the workforce. What I mean by that is that there’s lot of jobs out there that were never intended for people to do. But the only option was for people to do them, because we didn’t have software that could it on their behalf. So I think there will be a lot of those types of jobs – repetitive – it’s not ideally suited for humans to do in the first place.”

“Second is increasing efficiency, and oftentimes you’ll hear about potentially given people superpowers in their job, where not only can they do their job, they can do it a lot faster, a lot better, and they can be much more productive.”

“And then the third are is achieving new breakthroughs, and this is something I think is going to be really powerful as it relates to what you can get out of machine learning. As a society we have blindspots that we’re not aware of. For any new breakthrough that occurs, that only happened because someone else didn’t think to do that. Machine learning gives us an opportunity to discover new patterns, new ways of working that weren’t obvious before, and so I think we’re going to be able to see all sorts of interesting new capabilities in the enterprise as it relates to that.”

During the talk, Robbie was clear about the need to focus squarely on solving real business problems:

“So I think especially  when it comes to the enterprise, it’s less about ‘can we properly define AI,’ and really what problems are we trying to solve,” he said.

“And it goes back to, what are the key differences now between what we can do now versus some of the vendors that we’ve seen before. And it’s the computing power, it’s the availability of data, and it’s the advanced algorithms that have been created.”

“And I think really focusing on what problems can you solve with that, that’s really where it’s at for the enterprise, much more so than ‘are we ever going to create AGI, artificial general intelligence? Are we going to have sentient beings?’ There’s no path for that in the research right now and so to me it’s not even really worth talking about.”

For Machine Learning, Data Comes First

CEO Robbie Allen recently spoke about the importance of data strategy at Adobe’s Think Tank on The Future of AI in the Enterprise.

“People hear about artificial intelligence and all this crazy stuff that it’s doing and so they think that it’s going to be this magical solution that solves all of their problems,” he said.

“In most cases, in my experience, it’s better to walk before you can run when it comes to this, especially if you’ve never done a machine learning style project before which requires a significant amount of data. You first have to to get your data strategy in place first before you can have an AI strategy.”

Later, Robbie spoke about a common data issue many enterprises may not be expecting: the high cost of getting data out of their systems.

“It’s likely that companies will spend just as much money on getting data out of their systems as they did to implement the systems to begin with,” he said.

“What I mean by that are ERPs, CRMs, all their databases. To get the data out of it in a format that’s useful for machine learning algorithms and other things is a nontrivial task.”

“And it turns out to be, in most cases, the long pole in the tent. That is, the hardest aspect of actually implementing a project is just to get the data. So that’s why we were talking about before, data strategy, when do you get it – it’s going to be difficult to do much in the space in the enterprise unless you have access to data in a format that makes it available to somebody to use in terms of implementing algorithms.”

 

Catch Us on Both Coasts: Our Spring Events

Bridge

We hit the road to talk about machine learning!

Your Event Could Be Next

If you’re looking for a world-class speaker on machine learning, deep learning, or artificial intelligence, we’d love to talk.


RECENT EVENTS
The Future of Operations in the Robotics Age

Wednesday, March 7th in New York City

Our Executive Chairman Mike Salvino delivered the 1:15 keynote at the FORA Summit presented by HfS Research.

In front of a group of service industry leaders and practitioners at HfS FORA,” wrote diginomica, “Salvino blasted his way through the “machine learning epidemic,” with actionable advice mixed in.”

Duke ML Day

Saturday, March 31st  in Durham, North Carolina

We were proud sponsors of Duke’s first machine learning day, and excited that our Chief Scientist Larry Carin was a speaker.  Of course, he’s also Duke’s Vice Provost for Research and a Professor of Electrical and Computer Engineering.

Our CEO Robbie Allen was on hand, too.

Triangle ML Day

Tuesday, April 3rd in Durham, North Carolina

Because one ML Day just isn’t enough, we were proud to sponsor this one too. It also took place at Duke University, and our Chief Scientist Larry Carin spoke once again. Some attendees even scored some swag from our Infinia ML booth!

Applied Artificial Intelligence Conference

Thursday April 12th in San Francisco

CEO Robbie Allen was a panelist on a session called “Savior or Destroyer? How AI Is transforming The Media.”

Webinar: A reality-check on Enterprise Artificial Intelligence (AI)

Thursday, April 12th

Executive Chairman Mike Salvino joined the panel on this webinar from HfS Research.

Carolina Family Office Forum

Tuesday, April 24th in Raleigh, NC

CEO Robbie Allen and Executive Chairman Mike Salvino speak to family office executives on the disruptive potential of artificial intelligence and machine learning.

Adobe Think Tank

Monday, April 30th in New York City

CEO Robbie Allen joined a forum on the future of AI in the enterprise.

The Artificial Intelligence Conference

Tuesday, May 1st in New York City

CEO Robbie Allen revealed “Best Practices for Machine Learning in the Enterprise.”

NC TECH 2018 State of Technology Conference

Friday, May 4th in Durham, NC

CEO Robbie Allen spoke on the past, present, and future of artificial intelligence.

Triangle CHRO Association

Friday, June 8th in Cary, NC

Executive Chairman Mike Salvino and CEO Robbie Allen speak to senior HR officers about the realities of artificial intelligence and machine learning at 8:30am.

The Copyright Society of the USA’s Annual Meeting

Sunday June 10th – Tuesday June 12th in Toronto (ironically)

CEO Robbie Allen joined the AI & Copyright panel to help legal experts understand the possibilities for natural language generation.