Postingpad - Abhay's portfolio and blogs

As I reflect on my years of product management work—and flip through all those books on building successful products—I can’t help but...

"So glad we met, Maya," Jay said as he gently pulled the chair for her. She smiled as he took the other chair at the table. Light music...

"This feels good. I'm loving this. I Love everyone and everything in this dream." Just as Jay was having his longest dream so far, he was...

"Doctor says I have a few months left," said Som as he patted the honing machine, "it's time to leave the world. But I had to come to see...

Services Management has come a long way. From ITIL (ITSM) to Customer and HR Services workflows, leading vendors have used the benefit of...

Three tips for success in prepackaging out of box AI apps and use cases. As business applications and platform vendors add more AI based...

The third P of my inbound product management framework (Problem > Persona > Purpose > Product) is quintessential. Most often than not, I...

While this series of posts will be themed around ‘productizing’ AI, I will not be surprised if they apply to productizing any idea or...

Sometimes decisions are hard coded using business rules. These business rules get complicated over time. As data, entities and...

I have often been asked for an easy way to identify use cases for AI. Of the many perspectives possible, one is ”use AI where humans...

Once you understand the role of AI in meeting the prime metric(s) and purpose of your organization, the next logical step would be to...

My previous post was about understand and aligning with organizational purpose before defining your AI use cases. Another thing to...

I have seen a tendency in business users to make a list of use cases that could benefit from AI. This typically happens because of...

This category of blog posts will focus on planning AI use cases for your organization. As you read through multiple use cases and...

We have discussed a few aspects of defining a prediction end point. Here is one more. Always work with your business users to understand...

While defining the prediction rule end point, I have often seen the spec designed such that the data science behind it becomes logic...

The end result of a requirement gathering exercise for AI is often the end point definition for the desired prediction rule. Defining the...

A question I have been asked often, “Should we aim for 70% or 80% or 90% accuracy with our prediction rule?” Like most questions in life,...

So you have the prediction rule available. The model has been trained, and you have reasonable amount of confidence in it’s estimated...

Often AI is a high compute environment. At prediction time, the need for computational horsepower might be high, specially for...