Sharing my journey of data transformation, pre-sales and professional services management

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IT service providers can charge better rates by providing customer-centric services

IT service providers can charge better rates by providing customer-centric services

Customer-centric Professional services providers improve the client’s condition by providing skills, behaviors, content, advice, experiences, and other factors unique to that niche over a designated time.

What is Metric Layer? Why is it increasingly becoming a part of the modern data stack?

What is Metric Layer? Why is it increasingly becoming a part of the modern data stack?

A system providing a standard and consistent set of definitions of metrics on top of the data warehouse.

14 Rules of persuasive storytelling for pre-sales consultants

14 Rules of persuasive storytelling for pre-sales consultants

Know your audience, Adapt your vocabulary to match your audience, Make client care, Structure your story - Minto’s Pyramid Principle, Demonstrate competence & Establish your credibility Be Specific with a flexible framework in place, Appeal to the head, heart, and hand

A framework to find your true calling that gets founded the Amazon

A framework to find your true calling that gets founded the Amazon

How to understand what you should do in life? Every minute spent doing something other than what you love the most today is a minute you will likely regret when you’re old.

How to get promoted fast in an engineering career?

How to get promoted fast in an engineering career?

Do you want to excel in the engineering career? Surprisingly, this has very little to do with technical skills. To be a high-leveraged engineer, learn meta-skills like better communication, relationship management, and business understanding once you perfect the basics of your technical skills.

How to send complex technical proposal to a prospect within 5 hours under extreme uncertainty

How to send complex technical proposal to a prospect within 5 hours under extreme uncertainty

I will give you a framework on how to engage clients with minimal effort, it's quite normal that you have to send the 1st proposal to a client with very limited information. The proposal needs to be directionally right and open-ended enough to incorporate new details at a later stage.

A profit growth framework for IT services firms

A profit growth framework for IT services firms

IT services growth does not only mean getting more business. There are other profitability levers that should also be considered like not just to grow in volumes but also think about the rate of profitability per resource.

AI Mindset for a successful enterprise data transformation

AI Mindset for a successful enterprise data transformation

The adaptation of the AI mindset and an iterative AI journey will ensure that AI investments are properly executed and more resources are put into the bets that are proven to work in the MVP phase.

The hunter(data scientist) will become the hunted (automated) sooner than we thought

The hunter(data scientist) will become the hunted (automated) sooner than we thought

Data scientists are getting automated faster than the rest of the engineers

How AI solution’s maintenance is different from traditional software

How AI solution’s maintenance is different from traditional software

IDC predicts that up to 88 percent of all AI and ML projects will fail during the test phase[1]. A major reason is that AI solutions are difficult to maintain. In this post, I will highlight how the maintenance of AI solutions is different and why MLOps is important.

Its critical to do business and technical assessment of the AI solution before(not after) starting the implementation

Its critical to do business and technical assessment of the AI solution before(not after) starting the implementation

Imagine that you are either * The Data Scientist, who is going to implement the solution, will require technical feasibility and complexity assessment like is the right data available? how inference will be integrated with the business process? and is the acceptance criteria achievable with the given data set and constraints?

2 Proven ways to launch successful AI Startups

2 Proven ways to launch successful AI Startups

For business-facing (B2B) AI products, it’s often difficult to get the data necessary to build a prototype because a lot of highly specialized data is locked up within the companies that produce it. There are a couple of general ways in which AI teams can get around this problem:

Accurate forecasting is important for businesses.

How to do data and ROI feasibility of a machine learning based forecasting solution

A list of key questions that will help asses business and technical feasibility of a machine learning solution Lets take an example of a machine learning and deep learning based forecasting solution. Imagine that you are the Machine learning engineer and want to asses a forecasting use case from two