Matthew Vranicar

The strongest technology leaders I know speak fluent finance. The best finance leaders I know deeply understand technology's strategic value. That's why I'm looking forward to this SIM Chicago event with Zach Jecklin, whose journey from financial analyst to CIO at Echo gives him a unique perspective on what it takes to bridge these critical functions. In my experience enabling billions in business growth and working through multiple, concurrent acquisitions, the CIO-CFO partnership has been the difference between technology as a cost center and technology as a growth catalyst. When these two leaders are aligned on value creation, capital allocation, and risk management, organizations can move with both confidence and speed. If you're looking to strengthen your financial acumen, build more effective partnerships with your finance team, or prepare for broader executive leadership, this conversation will be valuable. I encourage you to bring emerging leaders who would benefit from understanding how these disciplines intersect. Looking forward to the discussion on February 26th.

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Turn generic AI meeting summaries into industry-specific intelligence by customizing your prompts. Start with a foundation of roles (meeting outcome analyst) and output sections (decisions, priorities, issues, actions, topics). Then, add an industry-specific section. For AI, it's "Technical Context" (processes, tools, platforms). For CPAs, try "Accounting Processes." For law firms, "Legal Processes." Store summaries by client and ask follow-up questions anytime. See more than 50 other powerful AI prompts and workflows here: https://lnkd.in/eUcX3MAY #AIMeetings #ProductivityHacks #BusinessIntelligence #WorkflowAutomation

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New on MDM Premium, Part 2 of Tony Pericle's "Analytics Imperative" series uses a case study to explain the foundational concepts of data attribution, ontology and lineage that make scalable analytics possible for #distributors. Tony will deliver deeper insights in Wednesday's Data Analytics Summit, which you can register for here: https://lnkd.in/ggVs-W3j https://lnkd.in/gdR6Uazk #distribution #wholesaledistribution #dataanalytics #businessanalytics #industrialdistribution #industrialsupply #b2b

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Curious about the biggest priorities for data & analytics leaders? Seven Dallas CDAO Community members reveal what’s driving their strategies and shaping their priorities. Dive into their perspectives: https://lnkd.in/gB-VAcUF #GartnerCDAOCommunities #CDAO #Leadership

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Integrating large language models and powerful algorithms into your workflows is a massive undertaking. All that hard work can be undermined if the outputs fall short, quickly eroding stakeholder interest and trust. That's why effectively evaluating LLMs and algorithms is crucial. From initial prototypes to production, and through continuous experimentation and benchmarking, mastering evaluation ensures these advanced tools truly deliver on their promise. #LLM #Algorithms #AI

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400+ midsize enterprise leaders collaborated to map 45 technologies by: ➡️ Deployment timeline ➡️ Enterprise Value ➡️ Risk Benchmark with the 2025 Technology Adoption Roadmap: https://gtnr.it/41faY9n Gartner for High Tech | #GartnerIT #TechAdoption #TechLeaders

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By 2028, agentic AI will drive $450B+ in enterprise software revenue. Yet, many providers risk misaligned R&D and missed opportunities: https://gtnr.it/3MxPsJl Watch Gartner's on-demand webinar to see how the Gartner Agentic Compass guides you to smarter investments and stronger market positioning. #GartnerIT #AgenticAI #SoftwareInnovation

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At TDWI, we asked six of our expert fellows to share the most important shifts they see coming in 2026. Here are a few of the trends that stood out to me: *** Agentic AI is moving into real-world deployment, and that means enterprises will need new workflows, orchestration standards, and governance discipline to scale safely. *** Data foundations and AI governance are becoming non-negotiable. More organizations are recognizing that multimodal AI can’t deliver value without trusted, governed, well-managed data. *** ROI pressure will intensify. The economics of LLMs and GenAI will push leaders to make more disciplined build vs. buy decisions — focusing on sustainable use cases with measurable business impact. *** Data readiness will be the biggest bottleneck, not model sophistication. Clean, connected, well-governed data ecosystems will separate the AI leaders from the AI laggards. 2026 will be the year organizations move from “AI ambition” to AI accountability and the companies that win will be those who treat data, governance, and people readiness as strategic priorities. Read TDWI’s full set of predictions for 2026 here: https://lnkd.in/grcyhJNe #AI #DataStrategy #Analytics #Governance #AgenticAI #GenerativeAI #DataLeadership #TDWI

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