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Ask HN: Where is AI/ML actually adding value at your company?

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Re: Ask HN: Where is AI/ML actually adding value at your company?

#101

Post by rmprescott »

dingbat wrote: post #56
brianwawok wrote: post #44

Earlier quoted context omitted.

So is this like the Amazon "feature" where I buy a coffee table on Amazon, then I get suggested to buy a coffee table EVERY DAY for 3 months. Literally row after row of coffee table? Because there must be a big pool of people who buy 1 coffee table buying more coffee tables immediately after?

must be the same genius technology that leads Amazon to load up my Prime frontpage with fashion accessories when I've never had any history of searching or buying such, and recommending the same shows "Mozart in the Jungle", "Transparent", "Catastrophe" on Fire TV stick for months even though I've never shown any interest in any of such programming, even after manually "improving recommendations" by clicking "Not Int…

perhaps you should change your Amazon password...

Re: Ask HN: Where is AI/ML actually adding value at your company?

#103

Post by altshiftprtscrn »

joe_the_user wrote: post #81
ipunchghosts wrote: post #74

Earlier quoted context omitted.

So this is a prototype and not really added value yet.

I don't understand why this comment is unpopular since the GP is phrased in such a fashion that you only notice that they talking hypothetically if you read it carefully. I don't think there's anything wrong the GP's achievement or post (it's all interesting stuff) but if something has not yet been implemented, it's worth nothing since there is "many a slip 'tween cup and the lip"

Totally fair - I developed the tool for a product that won't be released until early next year so the cost savings are estimates based on expected production volumes. Its performance in a lower volume development environment has been consistent, however.

Re: Ask HN: Where is AI/ML actually adding value at your company?

#104

Post by aaachilless »

altshiftprtscrn wrote: post #31

I work in manufacturing. We have an acoustic microscope that scans parts with the goal of identifying internal defects (typically particulate trapped in epoxy bonds). It's pretty hard to define what size/shape/position/number of particles is worthy of failing the device. Our final product test can tell us what product is "good" and "bad" based on electrical measurements, but that test can't be applied at the stage of…

Disclaimer: I have no experience implementing any kind of ML.

How easy will it be to update your model if/when the downstream process changes?

At a previous job we had a process that relied heavily on visual inspection from employees. I often considered applying ML to certain inspection steps, but always figured it would be most useful for e.g. final inspection to avoid having to update the models frequently as the processes were updated.

Re: Ask HN: Where is AI/ML actually adding value at your company?

#105

Post by lmeyerov »

At Graphistry, we help investigate & correlate events, initially for security logs. E.g., Splunk & Sumo centralize data and expose grep + bar charts, then we add visual graph analytics that surfaces entities, events, & how they connect/correlate. "It started here, then went there, ..." . We currently do basic ML for clustering / dimensionality reduction, where the focus is on exposing many search hits more sanely.

Also, some GPU goodness for 10-100X visual scale, and now we're working on investigation automation on top :)

Re: Ask HN: Where is AI/ML actually adding value at your company?

#106

Post by ekarulf »

brianwawok wrote: post #44
ekarulf wrote: post #35

Amazon Personalization. We use ML/Deep Learning for customer to product recommendations and product to product recommendations. For years we used only algorithms based on basic statistics but we've found places where the machine learned models out perform the simpler models. Here is our blog post and related GitHub repo: https://aws.amazon.com/blogs/big-data/generating-recommendat... https://github.com/amznlabs/amazo…

So is this like the Amazon "feature" where I buy a coffee table on Amazon, then I get suggested to buy a coffee table EVERY DAY for 3 months. Literally row after row of coffee table? Because there must be a big pool of people who buy 1 coffee table buying more coffee tables immediately after?

It's a hard problem to determine the repeat purchase cadence of a product. At one end of the bell curve you have items re-purchased frequently, e.g. diapers or grocery, and on the other end you have items that are rarely repurchased.

I haven't looked at coffee tables specifically, but I know when I've looked at home products in the past I've been surprised at how frequently people will buy two large items, e.g. TVs or furniture, within a short period. That said, I agree there is room for improvement here. We're constantly running experiments to improve the customer experience, I have faith that in the limit things will improve. Again, we have no shortage of experimental power so if you'd like to join in the experimentation let me know :)

Re: Ask HN: Where is AI/ML actually adding value at your company?

#107

Post by soared »

brianwawok wrote: post #44
ekarulf wrote: post #35

Amazon Personalization. We use ML/Deep Learning for customer to product recommendations and product to product recommendations. For years we used only algorithms based on basic statistics but we've found places where the machine learned models out perform the simpler models. Here is our blog post and related GitHub repo: https://aws.amazon.com/blogs/big-data/generating-recommendat... https://github.com/amznlabs/amazo…

So is this like the Amazon "feature" where I buy a coffee table on Amazon, then I get suggested to buy a coffee table EVERY DAY for 3 months. Literally row after row of coffee table? Because there must be a big pool of people who buy 1 coffee table buying more coffee tables immediately after?

I'm late - but that is actually called dynamic remarketing. You look at a certain category of item and then see ads (on amazon or off-site) for other items in that same category. If you actually bought the coffee table on a different device/browser/anywhere else.. then you'll see those ads for a while because they can't recognize that you actually made the purchase already.

Re: Ask HN: Where is AI/ML actually adding value at your company?

#108

Post by sgt101 »

altshiftprtscrn wrote: post #31

I work in manufacturing. We have an acoustic microscope that scans parts with the goal of identifying internal defects (typically particulate trapped in epoxy bonds). It's pretty hard to define what size/shape/position/number of particles is worthy of failing the device. Our final product test can tell us what product is "good" and "bad" based on electrical measurements, but that test can't be applied at the stage of…

Ok there are some warning signs here.

First, bagged decision trees are a little hard to interpret; what is the advantage of a bagged model vs the plain trees? Are you using a simple majority vote for combination? What are the variances between the different bootstraps?

Second - what do you mean by 95% ? Do you mean that out of 99999 good parts 4999 are thrown away? and one bad one is picked out as bad ?

Third - what is this telling you about your process? Do you have a theory that has evolved from the stats that tells you why parts are failing? This is the real test for me.. If the ML is telling you where it is going wrong (even if it's unavoidable/too expensive to solve) then you've got something real.

Unfortunately my concern would be that as it stands.. you might find that in production your classifier doesn't perform as well as it did in test... My worry has been generated by the fact that this same thing has happened to me !

Several times...

Re: Ask HN: Where is AI/ML actually adding value at your company?

#109

Post by jcoffland »

malisper wrote: post #86

One of my coworkers used basic reinforcement learning to automate a task someone used to have to do manually. We have two data ingestion pipelines. One that we ingest immediately, and a second for our larger customers which is throttled during the day and ingested at night. For the throttled pipeline, we initially had hard coded rate limits, but as we made changes to our infrastructure, the throttle was processing a…

It sounds like a simple PID loop would be sufficient to solve this problem. You have a control valve and an error signal. No need for anything more complicated.

Re: Ask HN: Where is AI/ML actually adding value at your company?

#110

Post by jakozaur »

wastedbrains wrote: post #84
jakozaur wrote: post #6

At Sumo Logic we do "grep in cloud as a service". We use machine learning to do pattern clustering. Using lines of text to learn printfs they came from. The primary advantage for customer is easier to use and troubleshoot faster. https://www.sumologic.com/resource/featured-videos/demo-sumo...

just a happy Sumologic user, saying hello and Thanks! Most of your product is great (I am ex splunk user)... The biggest complaint is that I can't cmd+click to open anything in new tabs as everything is so JS crazy front end. overall the pattern matching stuff is pretty cool. Also, would like a see raw logs around this for when I am trying to debug event grouping errors based on the starting regex.

Can you elaborate on your improvement proposals?

E.g. With LogReduce you can click on group and see log lines that belongs to it. IS that something that solves your problem, or are you looking for something else.

Feel free to send me an email (it is on my profile).

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