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- Wide data
Gerrit Kazmaier from Google Cloud was talking about wide data this week, with the view that AI enables more data sets to be pulled into an analysis
Kazmaier talks about “wide” rather than big data: not just having more data, but adding more data points to analysis. AI systems are well placed to decide if it is worth taking additional factors into account, he said, and they have the processing power to do this fast enough, as to not hold up decision making.
Anecdotally I do see this as true, having more firepower to work through data and learn from it, you are inclined to bring more data in, that you wouldn’t have given a heavy lift prior. This broadening is quite profound. Rather than MORE BIG DATA, going broad, or doing both!
I’ve yet to listen to the SalesForce earnings call, but it is a good habit to get in to. To get that 30,000 foot view of an industry/companies. Especially when you hear what analysts ask in the Q&A. Patrick Moorhead shared some tidbits from the recent call which I thought were worth mentioning.
From Benioff:
CEOs want 3 things from AI: productivity through augmentation, higher value customer relationships, resulting in higher margins
Discussion on public models based on ‘amalgamated stolen public data sets..”
“trapped data” in Snowflake, Databricks, Microsoft, Amazon, Google; “put your hand up if you’re using $SNOW every day”
Data Cloud the “fastest growing product ever”; 25% of Q4 deals >$1M included it; 7T record ingested in Q4
Data is hot at SalesForce! And trapped data Is a big issue, unleash the data!
Notable stories this week
Making friends with the truth, on the near and far enemy of data.
[In German] How spam traffic is back in GA4.
In data we trust. Is that such a good idea?
Highlights from Gartner Data and Analytics Summit.
Numbers Station lets its users chat with their data.
Apple introduces Analytics for iOS App Developers.
Google open sourced their MMM called Meridian.
Google Cloud puts AI at centre of data analytics plans.
How a better understanding of media quality can unstick culture. On the inadvertent effects of measurement.
Klarna AI assistant handles 2/3 of customer service chats in its first month.
Why more publishers aren’t transacting on attention… yet.
[Podcast] How Netflix builds a culture of excellence.
[Podcast] How Frank Slootman (ex Snowflake CEO) grows data companies.
Deals/M&A
Data visualization of the week
McDonald’s in the US vs Castles in Germany.
Smartest commentary
“There are these new use cases emerging for generative AI capabilities, which give us more than dashboarding and traditional data analytics. The consumer is changing, from the data analysts, now to every knowledge worker being given access to meaningful data analysis.” -Gerrit Kazmaier, Google Cloud
That’s it,
-Ben
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