01. Kathryn Hume, Fast Forward Labs, Visits #theCUBE. (00:13)
02. Language Generation Capabilities. (00:37)
03. Varying Degrees of Machine Intelligence Tools. (02:24)
04. Natural Language Generation Report. (04:54)
05. Providing Services to Fortune 500 Companies. (05:28)
06. Financial Industry Struggles to Understand Value in Data. (07:06)
07. The Dark Side of Machine Learning. (08:26)
08. Working with the Art Industry. (11:30)
09. Marketing Approach to Potential Customers. (15:06)
Track List created with http://www.vinjavideo.com.
--- ---
Jeff Frick sits down with Kathryn Hume of Fast Forward Labs in NYC
Crazy enough to work? One company’s unconventional approach to innovation |
https://siliconangle.com/2016/02/05/crazy-enough-to-work-one-companys-unconventional-approach-to-innovation-fastforwardinnovation/
Developers and tech professionals are bustling to find the best applications for data and machine learning these days.
Fast Forward Labs is taking a zany and surprisingly fruitful approach to winning the race, according to Kathryn Hume, director of sales and marketing: Throw it in the water, and see if it can swim. The development phase at the company is a space for no-holds-barred experimentation, she told Jeff Frick, cohost of theCUBE, from the SiliconANGLE Media team.
Collaborating with strange bedfellows
One method of sussing out unsuspected new uses for technology is collaborating with strange bedfellows for a tech company — namely artists, who essentially experiment freely with the technology and report back with the creative new ways they were able to utilize it. As opposed to the companies they routinely work with, artists don’t have specific objectives, and this allows them to dive into the technology and explore it fluidly.
The New York City-based startup prides itself on its quirky approaches in an industry many consider, well, technical. “We like weird stuff, and we try to explore things that are on the fringe and use that to influence creative applications and companies,” Hume said.
The machine learning scarecrow
When host Jeff Frick broached the topic of employee displacement that some warn is the end game of machine learning, Hume offered a nuanced dismissal of the fears. We don’t yet know to what extent machine learning can replace highly skilled, middle-class workers, she states, adding that the technology is still nascent, so “before we think about the robots taking over, let’s actually make robots that work.”
#FastForwardInnovation @HumeKathryn @SiliconANGLE theCUBE @theCUBE #theCUBE #WomenInTech
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Kathryn Hume, Fast Forward Labs | On The Ground Feb 2020
01. Kathryn Hume, Fast Forward Labs, Visits #theCUBE. (00:13)
02. Language Generation Capabilities. (00:37)
03. Varying Degrees of Machine Intelligence Tools. (02:24)
04. Natural Language Generation Report. (04:54)
05. Providing Services to Fortune 500 Companies. (05:28)
06. Financial Industry Struggles to Understand Value in Data. (07:06)
07. The Dark Side of Machine Learning. (08:26)
08. Working with the Art Industry. (11:30)
09. Marketing Approach to Potential Customers. (15:06)
Track List created with http://www.vinjavideo.com.
--- ---
Jeff Frick sits down with Kathryn Hume of Fast Forward Labs in NYC
Crazy enough to work? One company’s unconventional approach to innovation |
https://siliconangle.com/2016/02/05/crazy-enough-to-work-one-companys-unconventional-approach-to-innovation-fastforwardinnovation/
Developers and tech professionals are bustling to find the best applications for data and machine learning these days.
Fast Forward Labs is taking a zany and surprisingly fruitful approach to winning the race, according to Kathryn Hume, director of sales and marketing: Throw it in the water, and see if it can swim. The development phase at the company is a space for no-holds-barred experimentation, she told Jeff Frick, cohost of theCUBE, from the SiliconANGLE Media team.
Collaborating with strange bedfellows
One method of sussing out unsuspected new uses for technology is collaborating with strange bedfellows for a tech company — namely artists, who essentially experiment freely with the technology and report back with the creative new ways they were able to utilize it. As opposed to the companies they routinely work with, artists don’t have specific objectives, and this allows them to dive into the technology and explore it fluidly.
The New York City-based startup prides itself on its quirky approaches in an industry many consider, well, technical. “We like weird stuff, and we try to explore things that are on the fringe and use that to influence creative applications and companies,” Hume said.
The machine learning scarecrow
When host Jeff Frick broached the topic of employee displacement that some warn is the end game of machine learning, Hume offered a nuanced dismissal of the fears. We don’t yet know to what extent machine learning can replace highly skilled, middle-class workers, she states, adding that the technology is still nascent, so “before we think about the robots taking over, let’s actually make robots that work.”
#FastForwardInnovation @HumeKathryn @SiliconANGLE theCUBE @theCUBE #theCUBE #WomenInTech
