Agentic AI = the next evolution of business systems From: Static AI Reactive workflows To: Autonomous systems Real-time learning Proactive decisions Impact: • Faster execution
• Smarter automation
• Better decisions at scale The shift is simple:
AI is no
ENTERPRISE AI
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Agentic AI: The Next Evolution of Business Systems
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AI pattern matching optimizes production schedules dynamically
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AI-driven pattern matching tests demand adjustments against production schedules, even within frozen planning periods that traditionally couldn't be modified.
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Unified MES Platform Cuts Inventory 15% Improves Capacity
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15% inventory reduction and 12% better capacity utilization from unified MES platform. Eyelit Technologies combines demand planning, production scheduling, and shop-floor execution where competitors separate them. #coreflux_ai #adlib_iiot #tronics_ai #skkynet_ai #HM26 pic.twitter.com/8ZM4jJ1KjE
— Lucian Fogoros (@fogoros) 20 avril 202615% inventory reduction and 12% better capacity utilization from unified MES platform. Eyelit Technologies combines demand planning, production scheduling, and shop-floor execution where competitors separate them. #coreflux_ai #adlib_iiot #tronics_ai #skkynet_ai #HM26
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AI21Labs Chroma Baseten Panel on Modern AI Systems Optimization
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Attending #AIDev26 by @DeepLearningAI
? Join @AI21Labs
, @trychroma + @Baseten for a panel on optimizing modern AI systems. Drinks. Nikkei food. No fluff. April 28 | 5PM | Kaiyō SF Register → http://
luma.com/7xdn3mke/?utm_
source=org-twitter
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Multica Makes Coding Agents Accessible to Non-Technical Users
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Turn coding agents into real teammates! Multica is a native desktop app that brings coding agents like Claude Code, Codex, and OpenCode to non-technical users through a visual interface. Here's the problem with coding agents today. 95% of knowledge workers can't use them. Not
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Traditional Data Centers vs AI Factories: Infrastructure Shift
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🏭 What is the difference between a traditional data center and an AI factory?
— Bernard Marr (@BernardMarr) 20 avril 2026
In this video, I explain one of the most important shifts in AI infrastructure and business technology. While data centers store information, run applications, and power cloud services, AI factories… pic.twitter.com/75YCTxir4DWhat is the difference between a traditional data center and an AI factory? In this video, I explain one of the most important shifts in AI infrastructure and business technology. While data centers store information, run applications, and power cloud services, AI factories
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Hybrid approach: combining proprietary and open AI models
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The second misconception I keep seeing: Too many teams think they have to choose between open models and proprietary models. They do not. The smarter path is hybrid. → proprietary models for scale and broad capability
→ open models for flexibility and control
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Winning Enterprise AI Strategy: Intelligent Systems Over Model Access
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My view is simple: The winners in enterprise AI will not be the companies with access to the most models. They will be the ones that build the best intelligent systems around them. If you want the full breakdown, watch the video and tell me what part of your AI stack you are
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Enterprise AI strategies behind: shift from models to reasoning systems
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Most enterprise AI strategies are already behind. Not because they picked the wrong model, but because they are still thinking at the model layer. The real shift is happening one level up, where AI becomes a system that can reason, use tools, retain context, and execute work
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EU Awards €180 Million Sovereign Cloud Contract Four Providers
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EU awards €180 million sovereign cloud contract to four providers https://
cloudcomputing-news.net/news/eu-sovere
ign-cloud-contract-180-million/?utm_source=dlvr.it&utm_medium=twitter
… #Cloud #Automation #Data #AIStrategy #DataEngineering #AgenticAI #ExecutiveLeadership #DataArchitecture