You probably don't need AI/ML. You can make do with well written SQL scripts

Post by azernik » Mon, Apr 23, 2018, 4:53 AM UTC

gnicholas wrote: post #57

db1 wrote: post #48

Earlier quoted context omitted.

I went to your website, and I can't figure out what your product is or does. I had to click in to individuals before I figured out what it does. Why not put "BeeLine Reader makes reading on-screen easier, faster, and more enjoyable. We use a simple cognitive trick — an eye-guiding color gradient — to pull your eyes from one line to the next." on your front page? Maybe you guys have already done some kind of testing a…

Appreciate the feedback. We recently redesigned the website to offer silos, and one of the goals was to make the landing page not offer too many specifics that would make some audiences bounce. But perhaps your suggestion is just what we need to do. Thanks for taking the time to share! One lesson learned: I should have linked to the /individual page instead of the generic landing page in my comment. Updating link now…

Post by azernik » Mon, Apr 23, 2018, 4:56 AM UTC

master_yoda_1 wrote: post #50

In a layman term the difference between sql and ml is, ml predict things and sql just tell you things. Things has changed and ml now a days can do far better things. If the competitor is using ml and making gain, then one should also catch up as soon as possible. SQL analytics was past, predictive analytics is the future. ML can do more than predictive analytics for you :)

Post by gnicholas » Mon, Apr 23, 2018, 4:59 AM UTC

azernik wrote: post #61

gnicholas wrote: post #57

Earlier quoted context omitted.

Appreciate the feedback. We recently redesigned the website to offer silos, and one of the goals was to make the landing page not offer too many specifics that would make some audiences bounce. But perhaps your suggestion is just what we need to do. Thanks for taking the time to share! One lesson learned: I should have linked to the /individual page instead of the generic landing page in my comment. Updating link now…

It's good to keep market-specific language to market-specific silos, but you need to put some little (milquetoast, plain-info) bit up front. Otherwise you turn off every market.

Post by zitterbewegung » Mon, Apr 23, 2018, 5:01 AM UTC

jrs95 wrote: post #10

zitterbewegung wrote: post #3

Companies have a large problem of having their data tucked away or inaccessible to the stakeholders. When people talk about AI / ML what they actually need is their data cleaned to the point where they can communicate to their stakeholders. Also, all of the companies who sell AI / ML as consultants are really good already at cleaning data. When companies actually hire data scientists what they typically do is clean d…

Even worse than stakeholders not having data is stakeholders having relatively raw data and building “reports” themselves with Excel that don’t actually mean anything. Sometimes this is just done to provide justification for something someone wants to do, but over time these things get built up and entrenched and the business is actually driving decisions off of completely meaningless metrics. So while it may be temp…

Post by azernik » Mon, Apr 23, 2018, 5:05 AM UTC

gnicholas wrote: post #40

My startup was approached by a corporate VC that wanted to make a strategic investment. Based on the attendee list from our meeting, which included very high up folks from the company, I felt good going in. They expressed interest in our technology that makes reading on screen easier [1], but they were surprised to learn that we didn't use machine learning to accomplish this. I indicated that it was actually quite ef…