You should reexamine your causal inference procedure. Also your fact collection methods. Also your evaluation of the benefits of technology.
DATA
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SaaS Data Ingestion Challenges Solved by Modern AI Tools
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Ingestion: Particularly at onboarding time, SaaS founders have an issue with "You possibly have data, perhaps dirty, fragmentary, or in almost purposely perverse formats. I would like to crush it into a defined database format." Ingestion has gotten much better because modern…
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Eight Data Trends Defining 2026 for Organizations
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The 8 Data Trends That Will Define 2026 Data is evolving fast — these eight trends highlight how organisations will collect, manage and use data in the coming years. Read more https://
bernardmarr.com/the-8-data-tre
nds-that-will-define-2026/
… #Data #Analytics #TechTrends #BernardMarr -
Andhra Pradesh Releases Mulberry Leaf AI Dataset
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The Department of Sericulture, Government of Andhra Pradesh, has published an open Mulberry Dataset on AI Kosh — India's national AI data platform. This dataset of mulberry leaf images and field metadata is designed for researchers and innovators to build AI models that assess
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Andhra Pradesh Releases Silkworm Dataset on AI Kosh Platform
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The Department of Sericulture, Government of Andhra Pradesh, has released an open Silkworm Dataset on AI Kosh, India's national platform for AI-ready data. Silkworm images, environmental readings, and rearing outcomes — all packaged for researchers and developers to build early
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Databricks Announces New Production-Ready AI Agent Capabilities
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The teams building production-ready agents aren’t just experimenting—they’re building, orchestrating, and governing them as part of real business systems. This week, we're announcing new Databricks AI capabilities to help teams do exactly that. Here’s a look at what’s new
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Analysis of data source selection patterns in AI models
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On a analysé 1,7 million d’URLs consultées par des IA à travers 70 000 conversations, couvrant les principaux acteurs comme @OpenAI , @AnthropicAI , @perplexity_ai , @Google ou encore @xai . Objectif : mieux comprendre comment les modèles d’IA sélectionnent leurs sources et ce
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Tech Hype Cycles: Data Science Startups Without Real Data Strategy
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This always happens with every new tech fad. When I was first starting out in Data Science all these startups wanted to be “data driven” even when they had no clear idea what that meant, or had any data, or had garbage irrelevant data at best.
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Solving Data Analytics Problems with Python
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How Do You Solve #DataAnalytics Problem?
by @Python_Dv #DataScience #BigData -
Cognitive Robotics Transform Supply Chain Automation
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Integrating Intelligent Process Automation into supply chains replaces fragmented manual tasks with the unified layer of cognitive robotics. Advanced predictive analytics bridge the operational gap since data accuracy stabilizes the organizational culture. Microblog @antgrasso