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From Historian to Intelligence: Modernizing Industrial Data Architectures

From Historian to Intelligence: Modernizing Industrial Data Architectures

by Tara Black | Jun 2, 2026 | Data & Analytics

For years, industrial historians solved a very specific problem: store the data, keep it available, and preserve operational history. For a long time, that was enough. Manufacturing plants, utilities, transportation systems, and energy operations generated massive...
IIoT + SAP + Databricks: The Three-Layer Stack Asset-Intensive Industries Are Moving Toward

IIoT + SAP + Databricks: The Three-Layer Stack Asset-Intensive Industries Are Moving Toward

by Tara Black | May 26, 2026 | Data & Analytics

Somewhere in your operation, a pump is running. A valve is cycling. A transformer is carrying load. Sensors are capturing it all, pressure, temperature, vibration, flow rate, thousands of data points per minute across hundreds of assets- and almost none of that data...
The Missing Layer in Enterprise AI: Why Governance Comes First

The Missing Layer in Enterprise AI: Why Governance Comes First

by Tara Black | May 8, 2026 | Data & Analytics

  AI adoption is accelerating, but trust is not keeping up. Organizations are moving quickly to deploy AI models, copilots, and agent-based workflows across the enterprise. The focus has been on capability: what AI can do, how fast it can be implemented, and...
States Are Moving to AI. The Real Opportunity Is What Comes Next

States Are Moving to AI. The Real Opportunity Is What Comes Next

by Tara Black | May 4, 2026 | Data & Analytics

State governments are no longer asking if they should adopt AI. They are asking how far they can take it. Pennsylvania’s recent expansion of AI initiatives reflects a broader shift happening across the country. States are actively exploring how AI can improve service...
Agentic Data Engineering Is Here. Here’s What Databricks Genie Code Means for Our Clients.

Agentic Data Engineering Is Here. Here’s What Databricks Genie Code Means for Our Clients.

by Tara Black | Apr 23, 2026 | Data & Analytics

Most data teams don’t have a talent problem.They have a throughput problem.The people are capable. The platform is in place. Yet moving from an idea to a production-ready pipeline, a trusted dashboard, or a deployed model still requires more operational work...
Your AI Pilot Worked. Now What? The Hard Part Nobody Plans For.

Your AI Pilot Worked. Now What? The Hard Part Nobody Plans For.

by Tara Black | Apr 20, 2026 | Data & Analytics

The pilot worked.The model produced results. The demo landed well. Stakeholders saw the potential, and for a brief moment it felt like momentum was finally on your side.Then everything slowed down.This is the part of the AI journey that nobody puts on the roadmap; the...
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Recent Posts

  • From Historian to Intelligence: Modernizing Industrial Data Architectures
  • IIoT + SAP + Databricks: The Three-Layer Stack Asset-Intensive Industries Are Moving Toward
  • What SAP Business Data Cloud Change for Your Analytics Team
  • The Missing Layer in Enterprise AI: Why Governance Comes First
  • States Are Moving to AI. The Real Opportunity Is What Comes Next

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