AIDATAWORKS NEWSLETTER

March 2026 at aiDataWorks

A look at this month’s ecosystem activity, modernization priorities, and the data platform trends shaping enterprise AI readiness.

March was an active month for aiDataWorks across ecosystem engagement and enterprise modernization discussions. A major highlight was our participation in the Informatica–Salesforce Bootcamp in Las Vegas, where partners and account teams aligned around the evolving data management landscape. At the same time, client conversations continued to center on integration modernization, governance, and building AI-ready foundations.

Informatica Salesforce Bootcamp Las Vegas

Featured Highlight

aiDataWorks at the Informatica–Salesforce Bootcamp in Las Vegas

This month, aiDataWorks participated in the Informatica–Salesforce Bootcamp in Las Vegas. The event brought together leadership, account teams, and strategic partners to align on the future direction of enterprise data platforms following the Salesforce acquisition.

The sessions focused on platform alignment, integration strategy, enterprise AI readiness, and the role partners play in helping customers modernize legacy architectures.

March Insights

Preparing data infrastructure for AI

Preparing Data Infrastructure for AI

Organizations are accelerating AI initiatives, but fragmented data environments continue to create risk. Modernization, governance, and observability remain the necessary foundation before AI can scale reliably.

B2B integration modernization

B2B Integration Modernization

Many enterprises are still running critical partner transactions on aging B2B environments. Modernization efforts are increasingly focused on cloud transition, stronger monitoring, and operational resilience.

Test data management

Test Data Management

Manual masking and slow refresh cycles continue to delay development teams. Automated, policy-aligned test data practices can reduce release friction while improving control and compliance.

Enterprise data platform foundation

Strengthening the Data Platform Foundation

Governance, quality, and integration discipline are becoming central enterprise capabilities. These foundations increasingly determine how successfully organizations scale analytics, automation, and AI.

Looking Ahead

In the months ahead, aiDataWorks will continue focusing on three core priorities:

  • AI-ready data platform architecture
  • Modern integration and B2B modernization programs
  • Operational governance, quality, and long-term platform adoption

Evaluating modernization in 2026?

If your organization is assessing integration modernization, governance improvements, or AI-ready data architecture, aiDataWorks would be glad to connect.

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