AI, Machine Learning: The View from Intel's Chief Data Scientist


(Image: Michal Bednarek/Shutterstock)

(Image: Michal Bednarek/Shutterstock)

What do black holes, hedge funds, and glaucoma have in common? They are all subjects that Intel Chief Data Scientist Bob Rogers has worked on over the course of a long career in data and analytics. And they are all examples of the varied problems where advanced analytics can be applied.

These days Rogers brings his experience with data science, AI, machine learning, and related technologies to a broad range of applications as he helps enterprises with work on their big important projects. It's part of a program in place at Intel to help spread the knowledge and implementation of advanced analytics to businesses and other organizations.

AllAnalytics Radio welcomes Bob Rogers as our guest on Wednesday, Nov. 1 at 1 pm ET/10 am PT. We're excited to hear about what he's working on today. We are going to ask him about AI, Machine Learning, and talk about some projects that apply these technologies to solve some of society's problems.

As Intel Chief Data Scientist, Rogers has a unique view into the issues, challenges, and trends across multiple industry verticals when it comes to these technologies.

We'll ask him about the trends he sees in the field, the most interesting projects he has encountered, and some of the mistakes he has seen as organizations work to implement these technologies.

We'll also ask him for his recommendations on how to tackle these problems. What are the best practices? What are good choices for initial big-impact projects?

We hope you'll join us for this edition of AllAnalytics radio.

Jessica Davis, Senior Editor, Enterprise Apps, Informationweek

Jessica Davis has spent a career covering the intersection of business and technology at titles including IDG's Infoworld, Ziff Davis Enterprise's eWeek and Channel Insider, and Penton Technology's MSPmentor. She's passionate about the practical use of business intelligence, predictive analytics, and big data for smarter business and a better world. In her spare time she enjoys playing Minecraft and other video games with her sons. She's also a student and performer of improvisational comedy. Follow her on Twitter: @jessicadavis.

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Re: The Many Faces of Intel
  • 11/22/2017 9:58:32 AM
NO RATINGS

I'm not selling higher education or Liberal Arts degrees, but I will say that there is some usefulness in them depending on the individual for proving that an individual has the capacity to learn and think in different facets.  To me seeing the wide range of subjects that this individual has worked with tells me that they are able to take what they know and apply it to different situations but only because the base has been analytics.  Had they switched careers say finance to CIS to Analytics as they shifted subject matter then I'd worry about the jumps.  Trying not get too far off subject when I see a Liberal Arts degree with hops all around in the core competencies of what would be 3-4 career tracts I worry about their ability to apply themselves and their skills.

Re: The Many Faces of Intel
  • 11/21/2017 10:27:47 AM
NO RATINGS

Yes, it brings up the age old question of should folks be muli-talented in lots of areas or specialize in one unique field through their earlier leaning years. The idea of a liberal arts education once again becomes a question that may be important in coming years.

Re: The Many Faces of Intel
  • 11/13/2017 8:37:07 AM
NO RATINGS

@kq4ym, it is funny to see the backgrounds and what the data scientists specialize in as they move through their careers.  Maybe I can't see the similarities between hedge funds and glaucoma but I'm sure there are enough that as the skill sets are applied the disparate backgrounds help to round out their career. 

Re: The Many Faces of Intel
  • 11/11/2017 9:55:04 AM
NO RATINGS

And with a chief scientist with backgrounds in "black holes, hedge funds, and glaucoma," one could guess this fellow has some very interesting things to say and maybe preview about Intel's efforts coming in AI and machine learning.

Re: The Many Faces of Intel
  • 11/2/2017 9:22:09 AM
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@Lyndo_Henry Actually All AI or All Automation would be a great brand name.

Re: The Many Faces of Intel
  • 11/2/2017 8:35:23 AM
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I think "everyone" seems to be doing AI with big data due to the fact that 80% of big data is cleaning up the data and the other 20% is cleaning up the data.  There is a lot of work to do making sure you're not reporting on garbage.  Using AIs to comb through data sure beats humans going blind trying to figure out what is going on when datasets just don't look right, or they have large chunks of data missing.  No matter how good a human analyst is a machine can read through the data exponentially faster especially if they are given multiple models to run.  

Re: The Many Faces of Intel
  • 11/1/2017 10:56:09 PM
NO RATINGS

Ariella writes

... it's the primary buzz term of the . quarter, year, whatever, I'd say, supplanting the term that previously held that distinction. Big Data did hold on for a number of years, though.

Makes me wonder if we will see a rebranding of All Analytics into All AI ...

 

Re: The Many Faces of Intel
  • 11/1/2017 2:01:37 PM
NO RATINGS

@Terry Yes, it's the primary buzz term of the . quarter, year, whatever, I'd say, supplanting the term that previously held that distinction. Big Data did hold on for a number of years, though.

Re: The Many Faces of Intel
  • 11/1/2017 12:56:17 PM
NO RATINGS

In re "...everyone seems to be taking big data toward AI these days."

They certainly are in their marketing! I guess you can only bang the drum about IoT for 6-8 straight quarters til it's time to switch ponies. We've crossed over into All Things AI & Machine Learning, since that's what coveted customers apparently expect to see from the hungriest vendors.

Re: The Many Faces of Intel
  • 11/1/2017 12:50:08 PM
NO RATINGS

@SaneIt not everyone is doing all the hot new things like mixed reality, but almost everyone seems to be taking big data toward AI these days.

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