Note: As mentioned in the title, this is part2. I highly recommend that you start with Part1 if you haven’t already read it.

As a quick refresher, we are building an AI-first retail/telco application that

  1. Scores customer interactions using backend services that are operating in either real-time/streaming mode
  2. Takes advantage of a modern cross platform development framework — Flutter thereby allowing us to operate on iOS, Android, the Web and other form factors and platforms, if need be.
  3. Hits cloud APIs when its appropriate for quick insights in cases where we don’t need a full on ML Development Lifecycle.


Broad, generic topic? Baiting? I know. But, please humor me for a few minutes to help convince you that this is the kind of thing we should be thinking of and be thankful for while we sit in the middle of a pandemic and shop away at the comfort of our homes. When we look at the current day technology that shapes the way we think and live, seldom do we think about intentional control. In fact, that has become one of the driving forces of engaging user experiences. Complex choices which users make are getting abstracted and offloaded to…


Ah, the age old subject of recommenders. Here we go again.… If you’re in tech and follow blogs here on medium, you’re probably thinking this. But, let’s stop there and start at why recommenders help. You might go, that's basic but ok, it improves obvious business metrics we try to optimize. Ok, sure, it can help scale your business but at its core, it helps drive engagement while democratizing a personalized experience to fit your customer’s potential needs.

Alright, if we find that response acceptable the immediate next question is why democratize anything? The ‘easy button’ response to that is…


Ok, here’s a scenario: You’re the lone data scientist/ML Engineer in your consumer-focused unicorn startup, and you have to build a bunch of models for a variety of different business use cases. You don’t have time to sit around and sulk about the nitty-gritty details of any one model. So you’ve got choices to make. Decisions. Decisions that make you move fast, learn faster, and yet build for resilience all while gaining a unique appreciation for walking the talk. IF you do this right (even partly), you end up becoming walking gold for your company. A unicorn at a unicorn…


An Open Solution To Quickly Unlock Innovation

The key driver for innovation for any organization in today’s diverse technology landscape is organizational ambidexterity (Check out this book for more on that). In its essence, it refers to the idea of being able to both explore new avenues while continuing to exploit current strengths. No matter what business you are in, what you sell or who you serve — a sense of “openness” around strategizing or problem solving is the first best step to ensure that we are doing the right thing to not just maintain our business but to expand as new opportunities present themselves. This “openness”…


Accessing SAS Viya from AWS Lambda is as simple as tapping into one of its Open APIs. If you do not know already, Viya is SAS’ Modern, Open, High-Performance, Distributed, In-Memory Analytics Platform. It also provides a number of Open APIs to access it from your favorite language(s). Head over to developer.sas.com to see what your options are. So, SAS Viya is Open, which is just lovely. You should try it out. You might actually end up loving it. Its ok — more love doesn’t do anyone harm!

Anyway, what does that mean to you as a developer or…


Analytics applied in real-time or near real-time produces the biggest bang for the buck for the companies that do it. The argument here is that the best way to derive maximum mileage from data is to extract immediate insight for delivering incremental value for the business that generates this data. There are a plenty of companies that do it today (Netflix, Amazon etc.) — & many more who want to do it soon and have a road map to get there. This is what we all agree on — at least most people that I’ve spoken recently to in the…


People enjoy doing certain things as a part of their jobs. One such thing for an analytics professional is to be able to work with the best in class tools to deliver top-notch decision support solutions while tapping into their scientific training. We are simple beings, looking to deliver complex things as simple stories. After all, I struggle to remember even one data point if it has to be explained in more than a 3 dimensional co-ordinate plane. In fact, most people that we know have similar problems. The reason is, as humans our ability to process complexity is limited…

Sathish Gangichetty

Dataholic, Data Science Practitioner, Entrepreneur and a Life Long Student

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