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vinvashishta's top posts of the month

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vinvashishta 6 likes 13 Nov 22
There is no generic leadership learning path, and there’s no substitute for experience on the job. The purpose of a learning path is to help leaders discover the different styles, approaches, sources of authority, and traits. Leaders apply that knowledge and develop a unique style. There isn’t a book or workshop that will choose an effective style for the leader.
vinvashishta 5 likes 14 Nov 22
Thank you for subscribing and being part of this community. I am diving into a topic I have gotten dozens of questions on this week. The layoffs happening now are impacting people at every career stage. Stable companies that people have built 10+ year careers in are reducing headcount across the business.
vinvashishta 2 likes 15 Nov 22
I need to gauge your interest in a Data and AI Product Management training course. I have time to run a live cohort starting in December or January. The content is targeted at 2 groups. Traditional digital product managers who want to transition into data science product management.
vinvashishta 2 likes 21 Nov 22
Thank you for being a part of this community and for the response to the Data Product Management Course. I will be setting the dates early this week and emailing everyone who expressed interest. If you want to join this cohort, either comment or email me at
vinvashishta 1 likes 11 Nov 22
It's time to let go of the unhealthy obsession with coding interviews. It’s 2022, but our technical interviews are stuck in the '90s. Coding interviews are jokes compared to a multipart question I ask instead. What was the most complex defect you’ve ever had to fix? How did you find, resolve, and validate it? Also, what would you have done differently?
vinvashishta 0 likes 11 Nov 22
Don’t build AI because customers or users tell you to. Figure out why they need it in the first place. How do you get to their needs? Ask 5 Whys. We need you to build a machine learning model that recommends products to customers.
vinvashishta 0 likes 11 Nov 22
I've built data and AI strategies for 7 years. Here's what works for businesses at early data maturity phases that need to transform. According to Accenture, businesses with holistic AI strategies see 50% more growth than their peers.
vinvashishta 0 likes 11 Nov 22
What’s the difference between a data and AI strategy? It comes down to use cases. Do you need to understand what happened in the past? Descriptive use case. Analytics is fine. Do you need to understand why something happened in the past? Diagnostic use case. Data science is required.
vinvashishta 0 likes 11 Nov 22
I was called into the COO’s office in 2015. I had never met her, and all I knew was she wanted to talk about the pricing model I delivered at the beginning of the year. She said it had increased gross margins by 10%. I had no idea if that was good or if she was about to terminate my contract. So, I just said, “Yes.”
vinvashishta 0 likes 11 Nov 22
7 data science truths that changed my career and might change yours: Math, stats, and code are the easy parts. Getting models deployed is much more challenging. To deliver successful projects, I must know my users as well as I know my data.
vinvashishta 0 likes 11 Nov 22
What is a data product? In data products, analytics and inference are the primary value creators. Microsoft’s Copilot is an external customer-facing data product. Microsoft uses GPT-3 to deliver a code snippet recommendation to programmers. The recommendation or inference is the primary value generator.
vinvashishta 0 likes 11 Nov 22
AI increases the speed of business, and that is where machine learning’s highest-value use cases emerge. Reliable models inform strategy and planning decisions to improve outcomes. It’s a partnership between domain experts and data. The result is a business that:
vinvashishta 0 likes 11 Nov 22
Are data scientists partly responsible if a model fails to deliver value? Should reviews, raises, and promotions be tied to their projects’ business outcomes (KPIs)? Most data scientists say yes to the first question and NO to the second. Responsibility for value without accountability doesn’t work.
vinvashishta 0 likes 11 Nov 22
Startups without a path to profitability are in trouble. Many have 12 months of cash or less, and raising money isn’t happening without a path to profitability. I’ll give you one. If your startup generates data, you have a path to profitability that can be deployed in 1-2 quarters. Here’s the blueprint:
vinvashishta 0 likes 11 Nov 22
Dear data job seekers, The second you send a copy/paste DM asking for help finding a role or connection invite with no message, you’ve lost. Let me teach you a lower-effort framework that leads to more job interviews.
vinvashishta 0 likes 11 Nov 22
3 elements make a data strategy actionable vs. delusional. 1. It must inform decision-making across the business, not just in the data team. Every business unit makes decisions about data: what data initiatives to support, what platforms and tools to purchase, and how to measure returns.
vinvashishta 0 likes 11 Nov 22
11 Data Science learning path truths that will change your career. 1. Learn science. It’s more important than the technical capabilities; skipping it will hobble your data science career. 2. There is no 1 way to learn data science or the best resource. Use what works for you to acquire and retain foundational concepts.
vinvashishta 0 likes 11 Nov 22
I have been a consultant for over a decade and close about 1/2 of my sales calls. Most consultants struggle to land clients because their pitch is built to get hired as an employee vs. selling their services with value. Here’s my pitch meeting format.
vinvashishta 0 likes 11 Nov 22
Things your CDO wishes you knew. If I ask you a question in a meeting with other senior leaders, please answer the question I ask, not the question you want to answer. I brought you into the discussion so those leaders see your value and you get introduced to higher-level business concepts.
vinvashishta 0 likes 11 Nov 22
I have 8 tips for people who need to create content faster. These have helped me go from writing 1 blog post a week to creating 3 blog posts, 7 LinkedIn shares, and a YT video every week. 1. Topic Selection. Listen for questions intelligent people ask, concerns they express, bad takes, and problem statements.
vinvashishta 0 likes 11 Nov 22
When data science teams do 6 things well, their customers fall in love with the data products. 1. Involve users in design, iterative demos, and validation. 2. Improve before users ask you to. 3. Remove extra steps from the workflow and anything that creates friction.
vinvashishta 0 likes 11 Nov 22
Some Twitter engineers are getting called back after being laid off. This is fairly common, and here’s what you should do if your employer has second thoughts after letting you go. Offer hourly consulting. If you’re already into the job hunt and interviewing, hourly consulting can be an excellent way to double dip. You avoid the risk of returning to a job only to be let go again a short time later.
vinvashishta 0 likes 07 Nov 22
Thank you for subscribing and for the feedback this week. Your likes have been exceptionally helpful in directing the content mix. Leadership, layoff advice, business acumen, data products, and the new creator series have proven popular. I will continue with these topics and make changes based on your feedback.
vinvashishta 0 likes 11 Nov 22
Great decisions start with great questions. Do you want a simple framework to focus your thoughts and come up with the right questions? Level 1: Information Gathering. Ask broad, open questions about the events. I need enough of the facts before starting to formulate high-quality questions.
vinvashishta 0 likes 11 Nov 22
Why do strategy consultants get paid so much? Watch. In 3 minutes, I will help most MLOps, and Data Science Tool startup Founders overcome a massive barrier to scaling their business. Early success comes because one of the Founders was the customer. The product was built for them, so it met their needs perfectly. They were selling to themselves, so they always knew what to say. Why isn’t that working anymore?