10 Cool Machine Learning Startups To Watch - InformationWeek

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Data Management // Software Platforms
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8/15/2016
07:06 AM
Jessica Davis
Jessica Davis
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10 Cool Machine Learning Startups To Watch

Machine learning is technology that trains software so developers don't have to code it by hand. The number of new companies in the category has grown exponentially over the past few years. Here are 10 machine learning startups worth a closer look.
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CrowdFlower

Lukas Biewald, a former lead data scientist at Yahoo, founded CrowdFlower to build training data for machine learning. Training data is used by data scientists to teach their algorithms to learn. 
The company website says it is focused on making data useful by helping teams collect, clean, and label data at scale. Crowdflower raised a new $10 million round of funding in June 2016 that included Microsoft as an investor. The funding will be used to fuel adoption of CrowdFlower AI, launched last year, which enables machine learning algorithms to go beyond prediction to provide judgment on how likely the prediction is to be correct -- known as a confidence level. 
(Image: StockFinland/iStockphoto)

CrowdFlower

Lukas Biewald, a former lead data scientist at Yahoo, founded CrowdFlower to build training data for machine learning. Training data is used by data scientists to teach their algorithms to learn.

The company website says it is focused on making data useful by helping teams collect, clean, and label data at scale. Crowdflower raised a new $10 million round of funding in June 2016 that included Microsoft as an investor. The funding will be used to fuel adoption of CrowdFlower AI, launched last year, which enables machine learning algorithms to go beyond prediction to provide judgment on how likely the prediction is to be correct -- known as a confidence level.

(Image: StockFinland/iStockphoto)

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RussellS237
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RussellS237,
User Rank: Apprentice
8/16/2016 | 11:23:08 AM
Interesting
Definitely some interesting things going on with this technology.  I know from personal experience though that some of these really need some better tools to refine the data presented to the user. Example for ebay listings when one searches for something, the filtes are relegated to those items just related to selling,  i.e price, distance, type of auction, etc. If they are really wanting to sell something via a search they need to provide filtering based upon the item's characteristics/applications. Amazon provides somethings like color, sizes, brands, etc. Until developed further most of filtering capacities are dreadful for either of these examples.
PreExecution
50%
50%
PreExecution,
User Rank: Apprentice
8/16/2016 | 8:10:10 AM
Don't forget about CYLANCE!
Im surprised that Cylance didn't make the list. Predictive AI at the endpoint - AKA the new "front door". Forget about all the eye candy elsewhere, their software really works! I've seen it consistently catch never-before-seen malware, pre-execution, with a machine-learned algorithm that was over a year old.
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