Data-podden

Bortom bubblanhttps://www.linkedin.com/pulse/bortom-bubblan-johan-nod%C3%A9n-nqkwfNew IT roles emerge to tackle AI evaluationhttps://www.cio.com/article/4137022/new-it-roles-emerge-to-tackle-ai-evaluation.htmlWhere Senior Leaders Are Struggling with AI Adoption, According to Researchhttps://hbr.org/2026/02/where-senior-leaders-are-struggling-with-ai-adoption-according-to-research?ab=HP-latest-text-1https://www.randomforest.se/data-podden/

What is the meaning of self-service analytics?https://www.linkedin.com/pulse/what-meaning-self-service-analytics-anton-albinsson-eugsfOperationalizing Agentic Applications with Microsoft Fabrichttps://blog.fabric.microsoft.com/en-us/blog/operationalizing-agentic-applications-with-microsoft-fabric?ft=AllHow Schneider Electric Scales AI in Both Products and Processeshttps://sloanreview.mit.edu/article/how-schneider-electric-scales-ai-in-both-products-and-processes/https://www.randomforest.se/data-podden/

The biggest data trends for 2026https://www.ibm.com/think/news/biggest-data-trends-2026The problem isn’t data!https://www.linkedin.com/pulse/problem-isnt-data-j%C3%B6rgen-larsson-7xqtfWhat It Means to be Data Fluenthttps://www.linkedin.com/pulse/what-means-data-fluent-robert-s-seiner-6nhoe/https://www.randomforest.se/data-podden/

Supercharge AI, BI, and data engineering with Semantic Link (Generally Available)https://blog.fabric.microsoft.com/en-US/blog/supercharge-ai-bi-and-data-engineering-with-semantic-link-generally-available/AWS analytics at re:Invent 2025: Unifying Data, AI, and governance at scalehttps://aws.amazon.com/blogs/big-data/aws-analytics-at-reinvent-2025-unifying-data-ai-and-governance-at-scale/#:~:text=re:Invent%202025%20showcased%20the%20bold%20Amazon%20Web,and%20maintain%20robust%20governance%20without%20sacrificing%20agility.Vem blir den första cio:n att få sparken för kaos orsakat av AI-agenter?https://computersweden.se/article/4129287/vem-blir-den-forsta-cio-som-far-sparken-pa-grund-av-kaos-orsakat-av-ai-agenter.htmlhttps://www.randomforest.se/data-podden/

Bringing together Fabric Real-time Intelligence, Notebook and Spark Structured Streaming (Preview)https://blog.fabric.microsoft.com/sv-se/blog/bringing-together-fabric-real-time-intelligence-notebook-and-spark-structured-streaming-preview?ft=AllPredictive maintenance and reporting automation lead AI adoption in energy industryhttps://www.devdiscourse.com/article/technology/3801321-predictive-maintenance-and-reporting-automation-lead-ai-adoption-in-energy-industryHow to Be a Data Shamanhttps://tdan.com/how-to-be-a-data-shaman-2/33455https://www.randomforest.se/data-podden/

2026 Practical Data Community State of Data Engineeringhttps://joereis.github.io/practical_data_data_eng_survey/Agent Evaluation: How to Test and Measure Agentic AI Performancehttps://machinelearningmastery.com/agent-evaluation-how-to-test-and-measure-agentic-ai-performance/AI Doesn’t Reduce Work—It Intensifies Ithttps://hbr.org/2026/02/ai-doesnt-reduce-work-it-intensifies-ithttps://www.randomforest.se/data-podden

Enterprise AI Agent Trends: Top Use Cases, Governance + Evaluations and Morehttps://www.databricks.com/blog/enterprise-ai-agent-trends-top-use-cases-governance-evaluations-and-moreA Business Understanding of Data Dispositionhttps://anchoringdata.com/p/a-business-understanding-of-data?r=4733dz&utm_campaign=post&utm_medium=web&triedRedirect=trueSemantically Speaking: Procedural Coherence Without Ontological Commitmenthttps://semanticallyspeaking.substack.com/p/semantically-speaking-proceduralhttps://www.randomforest.se/data-podden/

Enterprise technology predictions: What’s coming in 2026https://siliconangle.com/2026/01/25/enterprise-technology-predictions-whats-coming-2026/The Truth About Data Modeling: What You Learn Only After Real Projectshttps://medium.com/@sauravkumarrajjoli/the-truth-about-data-modeling-what-you-learn-after-real-projects-8932c4ea3db5Do You Smell That? Hidden Technical Debt in AI Developmenthttps://towardsdatascience.com/do-you-smell-that-hidden-technical-debt-in-ai-development/https://www.randomforest.se/data-podden/