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AI isn't replacing software engineers. It's changing what great engineers do.
In the latest Daily AI in Practice, I spoke with Cale Morash (@cale-morash), Software Engineer at Resource Energy Solutions.
Read his biggest insight ⬇️
https://t.co/Roax2S9BFy
Artificial intelligence has entered a new phase.
The question is no longer whether AI works. Organizations now want to know whether it can be deployed responsibly, reliably, and at scale.
Read about it here -
https://t.co/0TBKHG1sLv
Most enterprise AI systems today are designed to predict what might happen next.
The next generation will help organizations decide what to do about it.
Here is Edition #23⤵️
https://t.co/yrSBj0UsPv
"Enterprise AI's next competitive advantage won't come from better models. It will come from better orchestration."
Great conversation with Sarang Joshi on AI systems and why the future is about creating a "symphony" of AI capabilities
https://t.co/xd2N0fL2sy
#AI#GenAI
The challenge is no longer proving AI works.
It's turning successful pilots into repeatable business outcomes.
Andy Bayandor talks about what separates organizations that scale AI from those that remain stuck in experimentation on LinkedIn 👇
https://t.co/jSBWDNpRxY
🎙️ Most enterprise AI still lives in chat windows.
But the next generation of AI may not type—it may become part of the conversation.
Read what Harsh Vyas shares in the Daily AI in Practice feature 👇
https://t.co/wgFiWiUxmt
#GenAI#VoiceAI#AgenticAI #EnterpriseAI#FutureOfWork
The future of AI won't belong to the companies with the best models.
It will belong to the organizations that can execute.
Great conversation with Arash Iranzad about enterprise AI.👇
https://t.co/ifmRpf4Tua
In this edition of Daily AI in Practice, Jaswanth Nagam shares lessons from building AI-powered data pipelines, RAG workflows, and automation systems — and why scaling AI is often harder than building it.
Read on LinkedIn
https://t.co/y7GQGVGevW
#AI#EnterpriseAI#DataEngineering
Companies no longer compete just for Google rankings—they're competing for how they’re represented inside systems like ChatGPT, Claude, Gemini, and Copilot—Adam Malamis, in this feature⬇️
https://t.co/wCTFbVn25y
#AI#GenerativeAI#EnterpriseAI#B2B#AIsearch#DigitalStrategy
“Most enterprise AI systems don’t fail dramatically. They fail quietly.”
Freeman Goja on why governance, observability, evaluation pipelines, and operational discipline are becoming the real moat in enterprise AI.
New Daily AI in Practice feature.
https://t.co/03MHwIulgi
Ctrl + Alt + Automate 🤖
Why AI “Life OS” systems may replace dashboards, workflows, and repetitive operations sooner than most enterprises expect.
Read on our LinkedIn page -
https://t.co/DqWsmaLkJn
Beyond chatbots and copilots, Divya Chopra is building the multi-agent AI systems enterprises will actually operate on — from AI-driven compliance automation to enterprise orchestration workflows.
#AI#GenAI#EnterpriseAI#AgenticAI
Read Below-
https://t.co/DNegfT3nlC
In our latest Edition, Opeyemi Amobi, a Toronto-based GenAI Engineer with experience across Data Science, Machine Learning, and AI workflow development talks about “Football Copilot” an application.
Read more about it-
https://t.co/Paru5JS8Ar
In our Latest Edition, Michael Gunn on human-in-the-loop AI, private RAG systems, sustainable AI infrastructure, and why strong data engineering still matters.
Read ⤵️
https://t.co/KFg8hXInOT
#AI#GenAI#EnterpriseAI#RAG