10 Cool Machine Learning Startups To Watch - InformationWeek
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8/15/2016
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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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LogDNA LogDNA is an early stage company aiming to apply machine learning to IT log data for a predictive approach to managing and maintaining systems. The idea is to help organizations detect and address IT problems before they happen. As IT systems have grown more complex, organizations need to not only look at infrastructure logs, but also custom application event logs, database logs, mail server logs, operating system logs, and more. LogDNA's agent is designed to allow organizations to specify the logs to watch, and lets administrators set up views and alerts based on custom smart filters. The company raised $1.6 million in July 2016. (Image: scyther5/iStockphoto)

LogDNA

LogDNA is an early stage company aiming to apply machine learning to IT log data for a predictive approach to managing and maintaining systems. The idea is to help organizations detect and address IT problems before they happen. As IT systems have grown more complex, organizations need to not only look at infrastructure logs, but also custom application event logs, database logs, mail server logs, operating system logs, and more. LogDNA's agent is designed to allow organizations to specify the logs to watch, and lets administrators set up views and alerts based on custom smart filters. The company raised $1.6 million in July 2016.

(Image: scyther5/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
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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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