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Accomplishments


PROXIM AI Adoption Framework: Turning Vision into Measurable Impact
Artificial Intelligence is no longer a distant frontier — it’s the competitive engine reshaping industries in real time. For business leaders, the challenge isn’t deciding if AI matters. It’s deciding how to adopt it in a way that delivers measurable returns, strengthens resilience, and positions your organization for long‑term leadership. At PROXIM, we’ve distilled years of enterprise‑scale transformation experience into a clear, sequenced AI Adoption Framework designed s
Bemir Mehmedbasic


Empowering Mid-Sized Businesses to Lead with AI
In today’s fast-moving digital landscape, mid-sized businesses face a unique paradox: they’re nimble enough to innovate quickly yet often lack the scale and resources of enterprise giants. This is where PROXIM steps in—not as a vendor, but as a strategic ally. We help mid-sized firms harness the transformative power of artificial intelligence with clarity, confidence, and craftsmanship. AI Without the Noise—Just Strategic Impact At PROXIM, we believe AI should feel less like
Bemir Mehmedbasic


From Enterprise Data Management to AI-Driven Impact: A 25-Year Journey
Over the past quarter century, we have built and scaled data platforms across industries—from telecommunications to insurance and beyond. Along the way, we witnessed data evolve from isolated repositories into the strategic backbone of every organization. Today, artificial intelligence sits at the nexus of that transformation. Here’s how we have woven AI into a 25-year enterprise data management practice. 1. Grounding AI Adoption in Proven Data Foundations Every AI initiative
Bemir Mehmedbasic


Transforming Data Integrity and Audit Capabilities for a Major U.S. Healthcare Provider
When a leading U.S. healthcare provider approached us, they were facing a challenge that’s all too common in large, complex organizations: no single source of truth for business‑critical data . Their ERP systems were disconnected, data lived in silos, and the absence of integrated analytics meant they lacked the ability to perform meaningful audit and fraud analysis. The stakes were high—without unified, reliable data, operational efficiency, compliance, and risk management w
Bemir Mehmedbasic
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