Blog
Practical thinking for securing organizational AI. Get clear ideas for AI rollout, workspaces, rules, reporting, cost visibility, and the operating decisions that help teams use AI with confidence.
Featured insight
Summary: In a market flooded with AI point solutions, most enterprises are buying more noise. This post lays out why automation—not more tools—is the critical unlock for scaling AI in the enterprise, and how ...
Read article
AI is everywhere. But not always where you expect it. From unauthorized GPT plugins in legal departments to data scientists testing consumer models ...
Read article
AI evaluation is full of metrics — but too often, leaders use them without fully understanding what they measure. Perplexity, BLEU, ROUGE, and F1 are ...
Read article
As enterprises race to embed AI across workflows, a fundamental shift is underway. Accuracy — once the holy grail of AI performance — is no longer ...
Read article
2023 and 2024 were the years of AI experimentation. 2025 is the year of AI accountability. CFOs across industries are now being asked the hard ...
Read article
Shadow AI—the unsanctioned use of generative AI tools by employees without approval or oversight—has quietly grown into a major operational and ...
Read article
From Experimentation to Execution Between 2022 and 2024, enterprise investment in AI-centric systems surged by an annual rate of 27%, hitting $19.5 ...
Read article
As AI adoption accelerates across the enterprise, so does the complexity of managing it responsibly.
Read article
Enterprise AI is evolving fast—but one thing is becoming crystal clear: 👉 No single model—or single model provider—can meet the diverse needs of a ...
Read article
As AI systems become more embedded into enterprise workflows, the demands on operational infrastructure grow more complex. Running models in ...
Read articlePlan your AI rollout
Talk with Spherium about workspaces, model access, rules, reporting, and rollout planning.
