Michael Dockham

See my publication of latest research paper peer reviewed journal, "Agentic AI in the Enterprise: How Autonomous AI Systems Will Reshape Business Strategy, Operations, and Leadership," in Well Testing Journal (Vol. 34, 2025). This paper delves into the transformative impact of agentic AI, moving beyond generative models to autonomously sense, decide, and act within enterprises, ushering in a new era of operational efficiency and leadership dynamics. The research underscores the dual nature of opportunities and responsibilities that accompany the integration of these systems. From enhancing operational efficiencies to presenting novel leadership challenges, the study sheds light on the far-reaching implications of deploying agentic AI in business settings. 🔗 Access the full article here: https://lnkd.in/eSGG7UQM If you don't have membership in google scholar or well testing journal, the summary is in the below website. https://lnkd.in/eK6p4JmD 💬 I invite you to share your reflections: - How do you envision agentic AI reshaping your industry? - What aspects excite you the most, and what concerns do you harbor? Your insights will contribute to a nuanced discussion, shaping the strategic approaches of leaders and organizations as they navigate this new frontier of AI.

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While enterprise architecture may not be the first thing we think about to differentiate businesses and provide competitive advantage, this article provides some insight to its importance now and in the future.

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Data is the heartbeat of Integrated Business Planning (IBP)—but mastering it is no small feat.   In our latest piece, we unpack the real-world complexity of IBP data and share a 5-step blueprint for driving meaningful transformation through smart data design, governance, and lineage. From navigating messy legacy systems to unlocking the potential of real-time insights, this post explores what it really takes to make data a strategic advantage.   Want to know how global organizations are turning fragmented data into unified planning power? https://lnkd.in/eQPpfdwz   #DataTransformation #IBP #BCGX #EnterprisePlanning #DigitalTransformation #DataStrategy

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"Strategic Intolerance". I stumbled across this nugget today in an interesting topic from Gartner. It's has to do with how tolerating certain types of behaviors can define the culture of an organization. It is reflected in the everyday behaviors of its employees. It's evident in attitudes about work, how well they collaborate, and how they interact with customers and other stakeholders. As a result, the culture has an enormous influence on a company's potential for success. What behaviors are present in your situation and how will you craft a plan for "Strategic Intolerance"? https://lnkd.in/ggXJT9kE

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Break silos. Activate metadata. Power AI. Most metadata programs don’t fail because teams lack tools. They fail because metadata repositories get built in isolation. The result is fragmented context, weak data lineage, and outcomes that can’t be trusted. Get a complimentary of the digital book “Fundamentals of Metadata Management” by Ole Olesen-Bagneux, VP and Chief Evangelist at Actian. It explores a modern approach to scalable, federated metadata built for semantic structure, compliance, and AI readiness. Download your copy. https://bit.ly/4oBZsQg #MetadataManagement #DataGovernance #DataIntelligence #DataCatalog

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How are new AI demands impacting IT infrastructure? Learn how GPU-heavy cloud servers and smarter edge devices are reshaping strategies. Explore Bain's findings to stay ahead with R.B.Hall Associates, LLC.

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These are some of the high-impact Gen AI business use cases (Likely Wins below) that have generally delivered strong results and ROI for many organizations. I found starting with small, focused investments and taking incremental steps can be an effective way to build trust and confidence across the business.

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AI isn't just evolving; it's transforming chemical supply chains at warp speed. Day 2 at the American Chemical Manufacturing Summit. Deep dive into SAP's AI solutions for chemical process manufacturing and real-time data...and I'm seeing how this tech isn't just about efficiency. It's about strategic advantage. As Marines, we learned that situational awareness wins battles. Same principle applies here. AI agents are giving companies like, say, Dow or BASF, near-perfect real-time visibility across their entire supply network. Think about that. No more lagging indicators, just proactive insights. I saw a demo of how SAP's AI is being used to predict supply chain disruptions before they happen. Real-time data plus predictive analytics equals a HUGE advantage. The best part? It frees up your people to focus on the human element – building relationships, innovating, and solving complex problems that algorithms can't touch. Question is, are you truly ready to embrace this level of visibility? Don't just talk about digital transformation. Start demanding it. Find one area in your supply chain TODAY where real-time data and AI can give you a decisive edge. Stop settling for reactive firefighting. SupplyChain #AI #ChemicalManufacturing #Leadership #Innovation

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Disconnected silos. Low user adoption. Governance headaches. Amplifi’s David Neil explains why so many catalog projects fall short and how to fix them. This guide gives practical strategies for driving adoption, improving governance and proving the business value of metadata while balancing people, processes, and technology. Get your guide here: https://lnkd.in/e9MiQCUp #DataCatalog #DataGovernance #Metadata #DataStrategy #DataManagement #DataLeadership #Amplifi #AI #DigitalTransformation

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AI isn’t just a tool for architects; it’s changing how enterprise architecture itself evolves. The maturity model highlights three stages: Level 1: AI-Augmented – Documentation support, standards drafting, diagram creation, trade-off analysis and rationalization insights. Level 2: Predictive – Portfolio trend forecasting, standards drift detection and cost/risk scenario modeling. Level 3: Autonomous – Governance on autopilot, continuous optimization, and self-updating architecture models. These aren’t abstract ideas. AI is already generating diagrams from code, surfacing portfolio risks, and proposing optimizations that once took weeks. EA Leaders: where does your organization sit today, are there other scenarios people are using AI in evolving the EA capability?

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I work with influencers 💅 I think if you asked them both, they sort of hate being called influencers 😆 Regardless of the semantics, they're innovators. Rather than sticking with the status quo tools they're most familiar with, they're constantly diving into what's new and exciting in the world of business intelligence. If you'll be at the Sigma Summit conference next week, be sure to ask them what they're working on.

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Raw materials aren't cheap. Discover how three companies put their data to work to cut scrap and rework and optimize their resource management strategies. https://okt.to/SjFEq1

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Do you need a blueprint how to start your IIOT journey in Snowflake? 📊🏭 Attached you can find a very cool summary from Chris Waters. Architecture and some ideas for SQL statements to resample or interpolate are ready to use!

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Did you know that 72% of organizations have adopted AI in at least one Business Function - a clear signal that AI is no longer optional, but essential for competitive success in 2025 and beyond....

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The only constant is change, and wow, are we feeling it in the discovery world right now. Data types are shifting, collaboration tools keep evolving, and expectations around cost, speed, and defensibility are not easing up. On top of that, there's all kinds of pressure to stay on top of the latest and greatest AI has to offer. So how do discovery programs actually keep pace? We have to evolve. One line from this article by Sara R. Wood and Debora Jones really stuck with me: “Evolution doesn’t mean abandoning structure; it means building a disciplined foundation with controlled agility.” That idea captures the balance so many legal teams are trying to strike. Staying true to core principles while intentionally making room for iteration, testing, and innovation. If you're interested in a practical framework for keeping your discovery program current and effective, without sacrificing stability or defensibility, I highly recommend giving it a read.

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Tariff changes continue to pile onto an already stressed supply chain.  For many manufacturers, it’s not about adapting once, it’s about adapting again. That means rethinking sourcing strategies, optimizing inventory with total landed cost in mind, and closing workflow gaps that just can’t wait.  RELEX Solutions gives perspective on what to prioritize now: https://relex.link/3J4clSZ #SupplyChainChallenges #InventoryOptimization #TariffImpact

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