Just reviewed $IBM's Full Earnings Call to further digest their AI Ambitions relative to $PLTR
The new $IBM CEO is serious about their AI Ambitions.
This image below provides a foundation to understanding their current partnership with $PLTR
Here are the key takeaways:
(2/6)
The CEO talked about how they are utilizing $PLTR's Foundry to help them scale their AI Initiatives for their clients across industries.
It's important to remember that IBM Watson is the brand product name for their AI product feature and its used in collab with Foundry..
(3/6)
The CEO is making new acquisitions and spinning off certain business lines to allow them focus on their Hybrid Cloud Compute and AI strategy
Gartner still regards them as a major leader in AI - Think about the synergies they could bring together with $PLTR for the future.
(4/6)
Also remember as part of this partnership - $PLTR would be leveraging $IBM's 1000+ salesforce globally to sell their software.
Now the CEO is investing more into sales and making new changes, so I expect to see benefits for $PLTR as this re-alignment benefits both parties.
(5/6)
He also added AI will add $16T to global output.
Watson Health -I heard some similarities between how $IBM utilizes their AI models to help with Vaccine administration for the US Gov't
This was similar to what I heard from $PLTR last week during Demo-day on using Foundry.
(6/6) Bottom-line
$IBM's very serious about advancing their AI services and capabilities for their clients in 2021.
I could see a scenario where $IBM Cloud Pak for data services with $PLTR is just a stepping stone / a foundation for future initiatives that benefits both parties
I will be covering the Earnings Call on May 13th (once date is confirmed).
(2/2) Also, I did a $PLTR thread Pre demo-day incase you missed it... You can read some insights I shared about my expectations and some of the industries they are moving into gradually.
The company's culture has been strong through the pandemic.
Beyond the valley's ideologies, the move of their HQ to Denver from California is partly a hint of the major work they will be doing with helping scale AI solutions for heavy industrial clients in TX
Why $ETSY could be $100B company by 2025 and a valuable lesson for New Investors.
Here is a Thread 🧵 //
2/ $ETSY Product:
Etsy operates a marketplace offering a largest selection of locally made gifts. Everything from jewelry, clothing, pottery, bath, body, now home furnishing and 10-more areas!
They operate a two-sided marketplace between buyers (82M) & sellers (4.4M) as at 2020
The Moat:
3/ Brand Recognition:
• Over 80%+ of purchases on $ETSY are made by organic buyers compared to 20% paid by marketing
• This level of word of mouth helps to lower CAC and drives scale.
• $ETSY has become a household name and this is likely to stick post-pandemic.
Primer on How Investors can build an AI Portfolio to capture the $13T Opportunity from Artificial Intelligence by 2030.
Mega Thread //
• A Framework for evaluating AI Companies
• Top Companies that will continue to dominate
• First Principles basics on AI
Let's Review⬇️🧵
* Disclaimer: Not advice
1/Some context - This is a follow-up to a Twitter spaces with some brilliant folks:
Thread Outline:
• Foundational elements
• Debunking AI
• My framework for structuring an AI portfolio
• My Top Companies to watch
• Market Opportunity
• Summary
🔽
2/ What's AI?
Debunking it - AI simply involves training a complex system with huge amounts of data using algorithms (instructions), then using that trained system to make predictions about new data it has never seen.
Below is a break-down of the types (ML & NLP are common)
Why I've been bullish on this leader in AI disrupting the Trillion-dollar Consumer Lending Market!
✅What is so special?
✅What are the Competitive advantages?
✅ $LMND of Lending?
Let's explore in this deep thread👇👇
1/ Thread Overview:
2- Company Overview
4-Competitive advantages & Emerging Moats
5 -Financials & Customer Growth
7 - Market Opportunity
8 - Management Team 9- The bear thesis & Risks
2/ $UPST Overview:
A lending platform that applies AI & machine learning to improve the consumer lending and underwriting process for making effective credit assessments.
They help their bank partners by referring loans, creating a seamless and simple consumer facing app.
• What are the differences vs similarities btw both companies?
• 🚨Revenue Growth rates over 281% & 152% respectively
• What are the risks of Investing? Can we trust both?
• $FUTU Earnings Recap
• Are they worth it?
Biz Thread below👇
0/ Thread Overview [Skim to your sections]
1: Financials Overview
2-3: $FUTU vs $TIGR Competitive advantages
4-5: Financial Analysis Summary
5-6: Management Teams
8: The Risks to Weigh
10: Industry and market Opportunity
1/ Company Overview: Super easy, nothing much.
$FUTU & $TIGR - Platforms that enables buying & selling of equities.