AI needs context, not just data. Without trusted meaning, lineage, and policy controls, bad data becomes bad action at scale. Enterprise AI impact starts with governed data foundations.
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Part III: Re-AI-lignment for Enterprise Data
AI needs context, not just data. Without trusted meaning, lineage, and policy controls, bad data becomes bad action at scale. Enterprise AI impact starts with governed data foundations.
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Part II: Why Data Governance Matters More Now!
Part I showed how enterprise data debt accumulates quietly through legacy platforms, fragmented semantics, underpowered governance, SaaS transitions, regulatory overlays,[…]
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The Weight [Wait] Of Legacy Data
Enterprise AI will only scale safely when data is governed by meaning, lineage, access control, and executable constraints—not legacy debt. Read why AI readiness starts with trusted data.
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Institutional Escrow Redefined
The “trust tax” on global trade — intermediary fees, manual escrow, settlement delays — is a multi-billion-dollar drag on capital efficiency. We prototyped the alternative: a fully digital escrow system on Canton Network using Daml, with tri-party authority, pluggable institutional custody, and milestone-based settlement that executes in code, not in email threads.
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How AI is Reshaping the CTO’s Responsibilities?
For much of the past two decades, the Chief Technology Officer (CTO) was often viewed as a role primarily associated with technology companies. In traditional enterprises, technology leadership frequently lived inside IT or was seen as a support function responsible for infrastructure and software delivery.
Artificial intelligence has fundamentally changed that equation.
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AI Demands Data Center Internals
Previously, we discussed the differences between AI Model building and AI Inference activities. We also talked about the location sensitivity[…]
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AI Model Training vs Inference: Key Infrastructure Differences
The infrastructure requirements for training AI foundation models and deploying them into production are vastly different, primarily due to the nature of the tasks they perform. One is a resource-intensive, one-off (or infrequent) process, while the other is a continuous, scalable, and low-latency operation. Understanding use is critical to understanding opportunities.
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The Physical World of AI
The Rise of AI has impacted everyone and everything. Growth is exponential, innovation is necessary to overcome the physical constraints.
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Demystifying Enterprise Cybersecurity
Introduction It is interesting to me that Cybersecurity conversations with large enterprises almost always start with discussion of known gaps[…]
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Platform Business
A platform based business drives the real impact for enterprises – it requires a cloud strategy, but is so much more!
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