So we're back to the future with Trillian 2.0? Except instead of messaging apps it's social networks.
@mjasay
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Enterprise Workloads Cloud Migration and On-Premises Persistence
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If you're interested in enterprise workloads shifting to cloud *and* the stubbornness of workloads remaining on-premises, @cote
's analysis is always thoughtful. I recommend reading this newsletter (and most everything he publishes) -
AI Systems Must Learn to Read Cursive Handwriting
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Wonderful expectations. Probably need to add one more: be able to read cursive.
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Open Source Definition Challenges in Cloud and AI Era
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I wrote the post based on an email you would've seen. It's a great email. I think we can agree some things called "open source" aren't by any definition, but some hard barriers probably don't make as much sense in cloud/AI as they did on shippable software.
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Open Source Paradox: From Compromise to Ideological Conflict
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Just wrote a post on the messy reality of today's open source. It's a delicious irony that the very term "open source" was a way of placating commercial interests, and infuriated free software purists. Today it's the open source purists who struggle to see beyond binaries.
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90% of AI Spending Wasted: Governance Solution Emerges
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As much as 90% of the money spent on AI is waste, but it doesn't have to stay that way. Companies like @holistic_ai are on a mission to help companies make that 10% pay (and grow) with a new category: AI governance https://
infoworld.com/article/357223
7/stopping-the-rot-in-ai-spending.html
… (by @mjasay for @InfoWorld ) -
Balancing Personal Knowledge with GenAI Productivity Gains
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The best way to move forward with GenAI is to find the right balance between personal knowledge and expanded productivity: you want to get beyond your comfort zone, but not too far. My column for @InfoWorld wherein I try to channel @mreferre
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RTO Policies Impact Remote Workers in Tech Industry
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I'm just waiting to hear if David has to go into the office regularly with RTO kicking in. Atlanta isn't *that* far away. 😉
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Musk’s Fully Autonomous Self-Driving Cars Technology
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See also Musk and "fully autonomous self-driving cars"
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MongoDB Schema Modeling: Beyond Schemaless Myth
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Challenge accepted! I think my point would be that you can model your data in MongoDB as you would in PG. there are good reasons why documents could get you farther, depending on the workload, but this idea of "schemaless" MongoDB has always been wrong. There's always schema.