You didn't mention Microsoft for vector search. Being part of Azure, same place to add Azure openai, is a big advantage. If you're using azure for a service already you will stick to what it can offer. The technology itself is now mature it's a matter of hosting
Good point! My portion of the article was written in mid May (originally with the first part on the triphasic approach) and I don’t believe Microsoft had introduced this yet. I will update the article when I have the chance.
Great article, @sophie you mention snowflake as a short. I’ve been very negative on them for the past year but they are leaning hard into enabling ai/ml LLMs, etc to sit over the data enterprises have with them. Their summit conference is basically all ml/ai with Jensen Huang speaking at it and a who’s who of ml/ai experts at various big companies. I’ve moved from puts to calls with snowflake, so far it has played to my favor. The other thing is snow has a 5 billion dollar warchest. They can certainly muscle their way in
TRIP should benefit a lot from Viator, whose growth they are funding entirely with organic cash flow. GetYourGuide has a 2bn valuation, equal to the EV of TRIP, but is burning cash to compete. Do you think TRIP could actually end up being an AI beneficiary instead?
It’s more about a) value & fungibility of datasets and b) ability to incur capex costs associated with developing & implementing AI tools. To be clear, I don’t necessarily think TRIP will do poorly outright. I just think that EXPE & BKNG will be able to capture more market share and implement AI/ML on a consumer facing level more effectively, and because of that will likely outperform TRIP.
Not mentioned in article but included in spreadsheet are: COUR, FRSH, BIG. These are all still good shorts? Also quite a few names in the relative winners section that aren't included in article. These are still good relative longs? Thanks.
The spreadsheet names you mention that aren’t included in the article are, basically, companies I have a vague thesis on in terms of AI impact but that I have not researched enough yet. I was hoping to highlight them in a later article but wanted to include them to give readers the opportunity to look at them as well (better to mention them early than wait, if it sparks an idea!).
You didn't mention Microsoft for vector search. Being part of Azure, same place to add Azure openai, is a big advantage. If you're using azure for a service already you will stick to what it can offer. The technology itself is now mature it's a matter of hosting
Good point! My portion of the article was written in mid May (originally with the first part on the triphasic approach) and I don’t believe Microsoft had introduced this yet. I will update the article when I have the chance.
Looks like the vector search for cosmos db was introduced May 23rd? Or did I miss something earlier?
When I wrote it the most I could find on MSFT was that Azure Data Explorer let you store vectors as a dynamic type and also found a dev blog that was recommending Qdrant https://devblogs.microsoft.com/semantic-kernel/the-power-of-persistent-memory-with-semantic-kernel-and-qdrant-vector-database/
This is pretty new. As is a Microsoft tradition the naming is confusing. It's part of "Cognitive Search".
https://www.snowflake.com/summit/
It’s listed in the agenda
https://www.snowflake.com/en/
Great article, @sophie you mention snowflake as a short. I’ve been very negative on them for the past year but they are leaning hard into enabling ai/ml LLMs, etc to sit over the data enterprises have with them. Their summit conference is basically all ml/ai with Jensen Huang speaking at it and a who’s who of ml/ai experts at various big companies. I’ve moved from puts to calls with snowflake, so far it has played to my favor. The other thing is snow has a 5 billion dollar warchest. They can certainly muscle their way in
A lot of Azure ppl on the agenda as well.
TRIP should benefit a lot from Viator, whose growth they are funding entirely with organic cash flow. GetYourGuide has a 2bn valuation, equal to the EV of TRIP, but is burning cash to compete. Do you think TRIP could actually end up being an AI beneficiary instead?
It’s more about a) value & fungibility of datasets and b) ability to incur capex costs associated with developing & implementing AI tools. To be clear, I don’t necessarily think TRIP will do poorly outright. I just think that EXPE & BKNG will be able to capture more market share and implement AI/ML on a consumer facing level more effectively, and because of that will likely outperform TRIP.
Not mentioned in article but included in spreadsheet are: COUR, FRSH, BIG. These are all still good shorts? Also quite a few names in the relative winners section that aren't included in article. These are still good relative longs? Thanks.
Hey,
The spreadsheet names you mention that aren’t included in the article are, basically, companies I have a vague thesis on in terms of AI impact but that I have not researched enough yet. I was hoping to highlight them in a later article but wanted to include them to give readers the opportunity to look at them as well (better to mention them early than wait, if it sparks an idea!).
Interesting that Jensen is doing a keynote with Slootman at next weeks SNOW event.
This is interesting...do you have a link?
The PDF link is broken - could you please fix it. Cheers