AI isn’t magic. It’s a process. 8 steps:
define problem
collect/prepare data
choose model
train
evaluate
fine-tune
deploy
ensure ethics & safety Real value comes from running this loop well. #AI #MachineLearning #DataScience #ResponsibleAI
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AI Development: 8-Step Process for Creating Real Value
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AI Wrapped 2025: Analyze Your ChatGPT and Claude Usage Patterns
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AI Wrapped 2025 What did you actually use ChatGPT & Claude for this year? (Be honest) LangSmith Insights agent can analyze your conversation history and surface the patterns, trends, and weird clusters you didn't know existed Try on your data: https://
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Data + AI Summit 2026 Call for Presentations Open Now
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If you’re building with data and AI, now’s the time to tell the story. Call for Presentations for Data + AI Summit 2026 is open, and we’re looking for real-world solutions, lessons learned, and bold ideas from data engineers, AI pioneers, data scientists, analysts and
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Building an AI to read posts; lists improve algorithm
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Nope which is why I am building an AI with @blevlabs to read them for me. Early results are quite amazing. Also engaging in lists dramatically helps the algorithm
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Opus 4.5 Analyzes Genetic Data, Reshaping Healthcare AI
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I'm amazed at Opus 4.5's ability to parse my genetic data file (a massive 25mb txt). It even wrote little analysis tools for itself to answer my questions! Pretty clear this is how we'll be going through all health data soon.
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Opus 4.5 Analyzes Genetic Data Better Than 23andMe
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Chatting with Opus 4.5 about my genetic data & it's surfacing all kinds of interesting things 23andMe never told me. Strongly recommend if you have your genome data.
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Five Critical AI Agent Mistakes Costing Businesses Millions
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The 5 AI Agent Mistakes That Could Cost Businesses Millions #AI #agents are set to transform how businesses operate, but many organizations are walking into this shift unprepared. This article explores the five biggest #mistakes #leaders will make with #AIagents, from data and
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Understanding Data Buzzwords: Mining, Analysis, Visualization, and Science
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Data buzzwords ≠ same meaning. Here’s a clear map: Data Mining = find patterns Data Analysis = interpret insights Data Viz = communicate visually Data Science = knowledge + ML Warehouse (structured) Lake (raw at scale) Lakehouse (best of both) Swamp
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Google’s data, models, and Genie 3 hint at more capable pair
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Google has more data and better models and a world model (genie 3) that all points to a far more capable pair. But we'll see.
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Convert Foreign Tables: Federated Data Governance Without Migration
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Convert Foreign Tables makes it easier to start using data that lives in other systems, without committing to a full migration. It brings federated data under Unity Catalog governance, so teams can work across systems while staying controlled and safe. Watch Nick Karpov and