All Of My 2020 Posts On LinkedIn

Through 2020, I posted 5 days every week, on average. This came up to a total of 274 posts for the entire year. ??

As part of my year-end reflection ritual, I relooked at my LinkedIn activity. I wanted to understand the past year and do some 'analysis' to find where I can improve. Talk about eating your own dog food! ??

Some quick stats: These posts were viewed over 780,000 times in all. On average, each post was viewed 2844 times, liked 36 times, and sparked 6 conversation comments. ??

Check this post for the 5 top takeaways with insights & charts -> https://bit.ly/3rHEJNE

Below, I've listed all of my 274 LinkedIn posts, categorized and linked. The posts are arranged into 12 categories. Each of them is sorted descending with the posts that were viewed the most. This post was inspired by Allie Miller who did a similar compilation.

Thanks to Pratap Vardhan for helping get the data with a nifty scraper. LinkedIn's data export doesn't get you the real juicy raw data to play with.

I hope this serves as a ready reference and helps you dive into some of the learnings. Take a look and let me know what resonated the most with you.

1. Data Science Trends

Posts where I shared trends and industry updates on data science:

• What do you think should be the top AI trends for 2021?
• AI companies don't scale like traditional startups
• Is technology making humans dumb?
• We are not using the right ways to measure the progress of AI
• Gartner's top 10 trends for analytics
• This book intends to convince you that data is profoundly dumb!
• No, AI won't change our world. Not until you find it boring
• Are algorithms the new, ugly middlemen?
• With AI, are we confusing intelligence and consciousness?
• What does the recession mean for a career in data science?
• As long as machine learning is trendy, it won't be useful
• How do you keep humans working with AI motivated?
• Why Covid will make AI go Mainstream in 2021: Top 3 trends for enterprises
• Would you like to pick the personality of your LinkedIn algorithm?
• Are you ready to plant a chip in your head?
• Can AI get smarter with reasoning-based models?
• Which of the 3 stages of Covid response were respondents in?
• Why the "Citizen Data Scientist" is overhyped
• How has Covid-19 changed our vocabulary?
• Will we end up with downgraded humans misusing upgraded computers?
• Trends for AI in 2020 and Beyond
• We are flooded with content, but are running short of attention
• COVID will change the world. Here's how
• Is there a slowdown coming - for the economy & for AI?
• Covid-19 is leading digital transformations of companies!
• The messy secretive reality behind OpenAI's bid to save the world
• AI still doesn't have the common sense to understand human language
• What do you see as the greatest threat to data science in the future?
• One in four CX Pros will lose their job in 2020
• Would you welcome the chance to work out of a hotel?
• We are not prepared for the end of Moore's law
• What are the greatest threats to AI & Data science?
• What can enterprises expect from AI in the coming year?
• Why do you think people are distrustful of data?

2. Data Science Implementation

Posts where I talk about the business implementation of data science:

• Increasing your investment in data analytics will not improve your decisions
• When should you not invest in AI?
• "Why isn't the ML model 100% accurate" ask business users
• What's the similarity between creating a data science solution & building a spacecraft?
• What's the best way to identify ROI from Data science?
• Good quality data is NOT sufficient to start your analytics projects
• Is your perfect algorithm losing you money?
• What's the biggest challenge in measuring ROI from data science?
• Do you need humans in your AI solution?
• How should you identify the right data science projects?
• The small 'Aha' moments from analytics are equally valuable
• Why Gartner's 4 levels of analytics are often interpreted wrong
• Comic: Why ROI and attribution of data science is tough
• What are the 5 Biggest Challenges you will face in data science?
• Are you landing on Mars or identifying cats? Your AI needs to adapt based on that
• Data is useful only if you do something with it
• Covid-19 broke all our ML models
• Automation just for the sake of it is a recipe for wasted investment
• Do you have the right data quality for ML?
• During COVID, 53% of companies have the data, but struggle with analytics
• How do you think data can help companies reopen safely?
• How explainable should your data science solution be?
• Should you care about AI Explainability?
• How should you prioritize the best data science initiatives?
• There are many ways to end up with garbage - data quality
• Our answers are only as good as the questions we ask of data
• How companies can use what-if simulations during Covid
• Businesses shouldn't have to learn to speak AI. AI must speak business
• Why is data unreasonably effective? What are the pitfalls to watch out for?
• What's the value of data science for businesses?
• AI bias can't be handled by just fixing the algorithms
• Steps to find out if your solution really uses AI
• The very pursuit of data science can help improve your data quality
• How do you pick the right projects to get value from data?
• Most data science projects solve the wrong problem

3. Data Science Adoption

Posts that cover the adoption and usage of data science by businesses:

• Data literacy is the insurance policy for your analytics investments
• Would you trust the analytics insights to make your decisions?
• Do you set aside a budget for the adoption of your data projects?
• Why is change management with data tough?
• 4 Tips to overcome an Org's cultural resistance to data science
• Doubling down on data science will not improve your decisions
• Why you need Decision Intelligence to unlock business value from data
• 5 Steps towards a data-driven culture
• Why are most data science projects never used?
• How do you ensure business adoption of your analytics solution?
• What can brushing the teeth teach you about data-driven dcisions?
• Is your startup using AI responsibly?
• 5 Reasons why most data science projects fail to get adopted
• How to build a culture of data?
• What's the biggest roadblock for adoption? Culture

4. Leadership

Posts on leadership and data executives:

• How can you prepare yourself to think up brilliant ideas?
• Should business leaders care about algorithm accuracy?
• Starting data science without a strategy is like hiking without a map
• Why businesses stagnate midway in their data science journey?
• Can your leadership style backfire with a team that's fully remote?
• A leader must ask the right questions rather than trying to know all the answers
• The biggest mistake leaders make while pursuing data science
• Do you know that lion tamers distract the beast with their chair?
• Are you here to cross the swamp or fight all the alligators?
• Emotional intelligence can guide you in times of uncertainty like today
• How a Data Science Strategy can help you avoid failed projects
• The 5 biggest challenges reported by CDOs in Gartner Survey
• Only 30% of companies align their analytics & org strategy
• 3 Ways leaders fail their AI Projects
• What's your biggest frustration with data science?
• Should leaders promote the external sharing of data?
• In times of great stress, plow your anger into something positive
• What really is a data-driven company?
• Top roadblocks reported by leaders in data science
• Inspiring story on leadership & resilience during a crisis
• "Remote" - Book to help your team work remotely
• People do not care how much you know, until they know how much you care
• Why data leaders must play offense during Covid-19
• Should CDAOs own the defensive or offensive portfolios?
• The push and pull effects in your data science journey
• Why executives struggle with AI adoption - NVP annual survey
• Saving a business that needs in-person interaction - Innovations
• We have been unprepared to face the pandemic. It's time to build
• What does it mean to be a digital leader?
• How has the role of Chief data officers changed with Covid?
• What's the shift in the role of data leaders post-Covid?

5. Data Science Examples

Posts where I share examples and applications of data science in the real world:

• Is the angry mother-in-law improving your TV viewership?
• How human is AI today? What can you make of GPT-3
• I used an AI to write an abstract for my IABC talk!
• Personalization on social media is broken. Here's how it hurts you
• This is what happens when you apply AI out of context!
• How your organization can safely welcome employees back at work
• Data can help not just monetize your customers, but save them money too
• When did you last fool an algorithm?
• How brands can use AI for actionable customer intelligence?
• When you can't get a vaccine, here's how AI can help
• Checking the effectiveness of lockdowns using Google maps
• These industrial robots get more intelligent with every task they do
• It's possible to predict poverty from satellite images
• Is social distancing help slow down the spread of Covid?
• Here's how a bunch of phones confused Google Maps
• I played AI Bingo with my son and this is what he learned
• The brilliant innovation that is Netflix party
• Comic: How far will you go for the sake of data science?!
• What's the connection between toiler paper & Covid?
• A deep learning network to spot Covid-19?
• Transform your brand's customer experience using AI
• Would you mind a gentle nudge on social distancing by robots?
• What did the world search for in 2020 - Google Year in Search
• Where does AI fail today? Understand the limitations to make the most of it
• What you're buying is not AI: How to tell fact from fiction?
• How AI is being used to fight the pandemic
• Are we ready for immersive virtual conferences?
• AI will power a safe return to the workplace
• Why your startup needs data science to survive this crisis?
• How data comics can tell business stories
• How do you detect fake AI?
• AI is being used to mass-produce human profiles & news articles
• What does the world search for?

6. Data Science Teams & Roles

Posts that cover the data science skills, roles, and aspects critical to teams:

• The 5 Roles that every data science team must hire
• When should you hire your data science specialists?
• When it comes to teams, the biggest challenge is not in hiring the best people
• What are the 5 roles needed on every data science team?
• 8 data science roles across the data science journey
• When should you avoid hiring a data science specialist?
• Comic: What math skills do you really need in analytics?
• My top 3 articles on Data science Projects & Data Science Teams
• What is the relevance of arts disciplines to data science?
• Should your data science team be centralized or decentralized?
• The 3 Missing Roles that every data science team must hire
• 4 Superpowers that will make you invaluable in a data science career
• Gramener webinar: How to build an effective data science team?
• A complete data science team needs more than just data scientists
• When and how to build out your team
• How do you promote collaboration in your data science team?
• Feeling lucky? Here's a fun data science title generator!
• Can behavioral economics help with better decisions from analytics?

7. Productivity & Self-improvement

Posts on self-improvement, speaking, reading, and more:

• How telling bed-time stories will improve your public speaking!
• What makes a post trend on Linkedin?
• Teaching is the highest form of understanding. Do this to learn better
• 3 Ways to get out of a bad productivity patch
• What's your biggest challenge in presenting a talk?
• How do you handle negative comments on the internet?
• Is communication really just 7% words? Not really!
• Here's how we picked our next family board game
• 3 Tips to help you get more out of books
• How you can use imposter syndrome to your benefit?
• Why do I post on LinkedIn?
• What causes stagnation in your data science career?
• How do you engage your audience remotely?
• How do you add humor to your presentation?
• It's time to reflect on 2020 and make bold plans ahead
• Word limits in social posts is a feature, not just a constraint
• How should you prepare slides for your talk?
• How do great presenters make it look so easy & effortless?
• Are the dishes in the dishwasher clean? Here's my son's hack to find out!
• 5 Books for building new habits
• Here are two things that help me get more impact from reading
• It's okay to make mistakes. Don't worry about goofing up
• Do you feel like a fraud while making a talk? Tackling imposter syndrome
• If you're a student aspiring to an AI career, register for this program
• Should you memorize your talk? Do this for a great delivery
• How I prepare & reuse content for my talks
• How to improve your body language & tonality in talks?
• Do you promote your talk before AND after your presentation?
• How do you stay relevant and grow in your career path?

8. AI for Good

Posts on the application of data science for the betterment of society and biodiversity:

• To fight pandemics, we need better data
• Can AI help you talk to animals?
• How will AI impact conservation in the next 10 years?
• Interested in bird watching? Use this AI-driven app
• Building AI's foundation, one penguin at a time
• How AI is saving Penguins
• How deep learning can help count penguins in Antarctica
• How NGOs can leverage AI without breaking the bank
• National Penguin day - How NGOs can tap into AI
• How mosquitoes are being used in the fight against mosquitoes
• How do you lighten a talk on AI & extinction? Add a whale shark joke!

9. Data Storytelling

Posts on data storytelling, information design, and data comics:

• How data comics can be used at Enterprises
• What Cinderella can teach you about Data storytelling???
• Take the US Presidential candidates for a spin with DataComics
• How countries are using data to handle the pandemic
• Why most visualizations are just glorified reports
• Here's how AI and data storytelling can excite your audience
• No one ever made a decision because of a number. They need a story
• 3 Ways leaders can become master storytellers
• This 5000-year historical timeline went obsolete in just 3 months!
• 3 Ways to become a master storyteller with data
• What's the state of unemployment through COVID-19?
• Information is power. But clarity is more powerful.
• My top 3 articles on Data storytelling and Deep learning
• Transforming your business with data stories
• Here's what 2 weeks of storytelling with data comics looked like
• How is Covid changing the shopping behavior in the US?
• How Cinderella can help with your next corporate presentation
• The biggest complaint in NYC now? Social distancing
• There are many Covid-19 trackers, but very few insights
• How Analytics and Design can deliver Business value
• Feedback for my talk on AI-driven storytelling at IABC '20
• What's common to great movies, talks & speeches? Emotional arc
• When are most people born in the US? What patterns can we find?
• Here's how the US raced to the top of the Covid chart

10. Accomplishments

Those times when I shared some personal milestones:

• My first Forbes article: Why your business needs Augmented Intelligence
• I won the 2020 CSuite Awards for Best Blog by a Business leader
• Gramener amongst 50 fastest growing companies in NJ
• Excited to be a finalist in the 2020 CSuite Awards - Best Blog
• I'm joining Enterprisers Project as a Community contributor
• Gramener turns 10 years old!
• I've contributed to a book on Public Speaking
• Gramener listed amongst India's 150 Fastest Growing Companies

11. Events

Updates about industry events and my speaking engagements:

• How can we save millions of human lives with Geospatial AI
• Upcoming talk: AI in Supply Chain - Hype versus Reality
• Register for the AI workshop for students
• Panel discussion with CDAOs at GDS Analytics summit
• Rutgers guest lecture: Data science and business value
• Panel discussion at Corinium's CDAO Apex, Florida
• My upcoming Instagram Live Chat with CSuite
• Upcoming talk at the IABC World Conference on AI & Storytelling
• I'm joining SXSW 2020 as a Tech Mentor
• Upcoming panel at the CDAO event next week
• How do you break the siloes in data science teams?
• Insights from our panel at the IQPC CDAO Exchange event
• How do you ensure that AI delivers ROI?
• INBOUND 2020 Call for Speakers is out
• What CDAOs should know about data storytelling - Gramener at Corinium
• Learn how to tell better stories with Powerpoint
• Nasscom Panel: What are the essentials for business value from AI?
• Webinar: Recession proofing your business with data

12. Updates

Posts about all other updates and a few that didn't fit into any other category :)

• Job alert - Principal Data Consultant for Gramener's Advisory practice
• Hiring for Gramener's Director of Content Marketing
• Our family's latest favorite game - Risk
• Want to try your hand at data comics? Join ComicgenFridays
• My guest lecture at Princeton University on 'Business Forecasting'
• How Gramener promotes gender diversity
• Launching Gramener's Data science whiteboard series
• COVID: Handy guide on how you must act now
• My 2nd year mentoring NASSCOM women leaders in technology
• Comic: It's raining webinars!
• O'Reilly closes is live conference business
• Gramener is looking for a data science manager
• Upcoming mentoring program at Nasscom WWRT
• Are we living in a computer simulation now?!
• My mentoring session for Nasscom's Women tech leaders
• Scholarships for Masters students from Yeshiva University
• It's day-15 of Quarantine. Here's what we are up to
• Reflections of 2019 and the plan for 2020

To stay updated on my posts in 2021, please follow me on Linkedin. Do share which of these categories you liked best!