How Enterprise Architects can get more support for technology led innovation
Enterprise Architects are increasingly vital as guides for technology-led innovation, but they often struggle with obstacles like siloed teams, misaligned priorities, outdated governance, and unclear strategic value. The blog outlines six core challenges—stakeholder engagement, tool selection, IT-business integration, security compliance, operational balance, and sustaining innovation—and offers a proactive roadmap: embrace a “fail fast, learn fast” mindset; align product roadmaps with enterprise architecture; build shared, modular platforms; and adopt agile governance supported by orchestration tooling.
Agi Marx, June 18, 2025
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How to turn data into actionable insights: maximize the potential of your data
Converting raw data into actionable insights demands more than static dashboards—it requires real-time intelligence embedded into daily operations. This blog outlines a strategic framework based on building a robust analytics infrastructure, centering on insight generation, and dismantling data silos through governance and literacy.
Tech trends we see in 2025 and beyond (including Agentic AI)
In 2025 and beyond, the adoption of agentic AI — systems composed of specialized, autonomous agents working together with minimal human oversight — is set to transform how businesses operate. These agentic systems offer human-like decision-making, contextual understanding, and adaptive behavior, enabling efficiency gains across industries like healthcare, finance, automotive, and logistics.
How to leverage predictive analytics to make better decisions
The blog outlines a three-step roadmap for businesses to unlock the power of predictive analytics and gain a competitive edge. First, it emphasizes the importance of gathering and preparing a diverse dataset—such as sales history, customer interactions, and external market data—to ensure reliable forecasting. Second, it explains how AI and machine learning tools can transform that data into actionable insights for demand forecasting, personalized marketing, dynamic pricing, and supply chain optimization. Third, it recommends implementing industry-specific use cases, like inventory prediction in retail, churn models in SaaS, and risk scoring in finance, to drive tangible business outcomes.
Our top takeaways from Snowflake Summit 2025
What happens when 12,000+ data and AI enthusiasts converge in one place? You get the Snowflake Summit 2025—a celebration of innovation, transformation, and the power of streamlined data solutions.
3 CIO strategies to leverage AI and data management for better business results
This blog outlines a pragmatic framework for leveraging AI effectively within organizations. It emphasizes starting with well-defined business problems, realistic pilot projects, and clear success metrics.
How to leverage AI to create personalized customer experiences and transform business functions
There is no arguing that AI technology has been a game-changer for all business functions. Automation can handle repetitive tasks, such as reminders and basic updates, freeing business managers and leaders to focus on high-value interactions that require empathy and strategic thinking.
