We leverage machine learning in the asset replacement modeling space. Basically there is an optimum time to sell your vehicle and purchase a new one based on our model. Our company works with large fleet organizations and provides analytics suite for vehicle replacement, mechanic staffing, benchmarking, telematics and other aspects of fleet management.
Ask HN: Where is AI/ML actually adding value at your company?
71–80 of 200 posts
Re: Ask HN: Where is AI/ML actually adding value at your company?
#72At ScreenSquid we use statistical analysis to find screen recordings of the most active users on your website. This saves our customers a ton of time avoiding playing with filters trying to find "good" recordings.
Re: Ask HN: Where is AI/ML actually adding value at your company?
#73Amazon 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?
Theory is that the recommendation engine is built for books. So if you buy a specific type of book, it recommends other books in the similar category. I guess they never got a chance to update it to reflect the fact that Amazon sells more than just books.
Re: Ask HN: Where is AI/ML actually adding value at your company?
#74I 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…
So this is a prototype and not really added value yet.
Re: Ask HN: Where is AI/ML actually adding value at your company?
#75The startup I'm part of uses ML to predict which end users are likely to churn for our customers.
We work with B2B and B2C SAAS, mobile apps and games, and e-commerce. For each of them, it is a generalized solution customized to allow them to know which end users are most at risk of churning. The amount of time range varies depending on their customer lifecycles, but for longest lifecycles we can, with high precision, predict churn more than 6 months ahead of actual attrition.
Even more important than "who is at risk?" is "why are they at risk?". To answer this we highlight patterns and sets of behavior that are positively and negatively associated with churn, so that our customers have a reason to reach out, and are armed with specific behaviors they want to encourage, discourage, or modify.
This enables our customers to try to save their accounts / users. This can work through a variety of means, campaigns being the most common. For our B2B customers, the account managers have high confidence about whom they need to contact and why.
All of this includes regular model retraining, to take into account new user events and behaviors, new product updates, etc. We are confident in our solution and offer our customers a free trial to allow us to prove ourselves.
I can't share details, but we just signed our biggest contract yet, as of this morning. :)
For more http://appuri.com/
A recent whitepaper "Predicting User Churn with Machine Learning" http://resources.appuri.com/predicting_user_churn_ml/
Re: Ask HN: Where is AI/ML actually adding value at your company?
#76At ScreenSquid we use statistical analysis to find screen recordings of the most active users on your website. This saves our customers a ton of time avoiding playing with filters trying to find "good" recordings. https://screensquid.com/2016/12/introducing-star-ratings/
Hierarchical clustering?
Re: Ask HN: Where is AI/ML actually adding value at your company?
#77My company builds software to analyze customer feedback.
We use "real" ML for sentiment classification, as well as some of our natural language processing and opinion mining tools. However, most of the value comes from simple statistical analysis/probabilities/ratios, as other commenters mentioned. The ML is really important for determining that a certain customer was angry in a feedback comment, but less important in highlighting trending topics over time, for example.
Re: Ask HN: Where is AI/ML actually adding value at your company?
#78Earlier quoted context omitted.
It's interesting to me that with all the ML hype, it's still not clear what constitutes ML. A basic k-means or naive Bayes approach will show up in ML textbooks, but those aren't clearly different from "use some statistics to make a prediction". There's an interesting group of marginal approaches that have existed as-is for years, but have increasingly focused their branding on machine learning as its profile has ris…
> but those aren't clearly different from "use some statistics to make a prediction" You can reduce 90% of ML to this. Even neural networks are based on statistics. If I have to draw a line between statistics and ML is that ML learns, it means it can predict things, however statistics only gives you information about the data you have. But for sure statistics and ML overlap a lot.
> it means it can predict things
All the other Math areas call that kind of prediction by "interpolation". It's not a magical property that only ML has.
I'd draw the line by the name. An algorithm is ML if it includes the computer deriving a complex model based on data gathered on the field.
Re: Ask HN: Where is AI/ML actually adding value at your company?
#79We are using machine learning to identify software as benign software or malware for customers.
Re: Ask HN: Where is AI/ML actually adding value at your company?
#80Amazon 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 get similar for travel guide books which are the kind of think you buy once when visiting a place you have never visited before.
I get suggestions for travel guide books for the same country I visited a year ago for which I purchased a guide book.