My Journey with Data & Analytics - Part 5 – Glimpse into what I read in 2021

Our opinions are greatly influenced by what we read, hence here is a subset of what I have read during 2021.

?Previously I used to call it “My Journey with Data Science”, now the journey has expanded beyond just science ??

?Here are links to the earlier parts in case you are interested in history ??

?Earlier I had shared similar information as part of the blogs?An email to a Data Science enthusiast ,?An email to a Data Science enthusiast - Part 2 ,?My Journey with Data Science - Part 1 , ?My Journey with Data Science - Part 2 , My Journey with Data Science - Part 3 and My Journey with Data Science - Part 4 – Glimpse into what I read in 2020

?I have grouped the articles by interest areas, which also gives me a glimpse of how I learnt during the year. While technology based learning is a trend that I have seen in past years, 2021 started me on HBR, thanks to an organizational initiative

?HBR

?Learning Charisma

“In Greek, the word “charisma” means special gift”, and I thought it couldn’t be built, until I read this article

?Focus on Winning Either Hearts or Minds

Something I bookmarked as "To re-read when I am getting into an important meeting with the objective of persuading others to agree with my PoV"

?What Makes a Great Pitch

1. Lesson 1: Be a master of the facts, but know that for an executive audience, your relevant experience matters most
2. Lesson 2: Avoid pitches where only one person speaks
3. Lesson 3: Be passionate about the problem, not just your product
4. Lesson 4: Listen closely and respond carefully

?Mary Robinson on Influence Without Authority

A question that got me hooked and made me listen to the podcast twice and read the transcript too

"It’s a position that holds very little formal authority, yet you managed to wield a great deal of influence while you were in office. So how did you do that?"

?Storytelling That Moves People

My favorite pick from this article is “The energy to live comes from the dark side. It comes from everything that makes us suffer. As we struggle against these negative powers, we’re forced to live more deeply, more fully”

?When to Sell with Facts and Figures, and When to Appeal to Emotions

My favorite pick from this article is “In fact, we now understand that our unconscious decisions follow a logic of their own. They are based on a deeply empirical mental processing system that is capable of effortlessly processing millions of bits of data without getting overwhelmed. Our conscious mind, on the other hand, has a strict bottleneck, because it can only process three or four new pieces of information at a time due to the limitations of our working memory.”

?Get People to Listen to You When You’re Not Seen as an Expert

?To Seem More Competent, Be More Confident

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Artificial Intelligence

?A Chat with Andrew on MLOps: From Model-centric to Data-centric AI

One of my favorite videos where Andrew NG explains the move from Model-Centric to Data-Centric AI. I believe everyone interested in AI/Data Science/ML/DL should listen to this and read on this topic

?Data-centric approach vs model-centric approach

?Data-centric vs. Model-centric AI? The Answer is Clear –

My Favorite line “Don’t try to outsmart a room full of PhDs. Instead, make sure the quality of your data is top-notch before trying to improve the model.”

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Data Mesh

?Data Mesh 101: Everything You Need To Know to Get Started

?What is a Data Mesh — and How Not to Mesh it Up

?What Is Data Mesh? And Should You Mesh It Up Too?

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Nice Reads

?Red Hot: The 2021 Machine Learning, AI and Data (MAD) Landscape

?Data Privacy & Protection Redux — The Rise of Data Clean Rooms

?Distributed Data Clean Rooms Powered by Snowflake

What’s Your Data Strategy? The key is to balance offense and defense. by Leandro DalleMule and Thomas H. Davenport

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