Enterprises are deploying AI agents faster than their data foundations can support them. New survey data from The Modern Data Company shows a sharp mismatch between agent adoption and data trustworthiness, with business context engineering emerging as the critical differentiator. ECI Research examines what this means for ITDMs and platform engineering teams.
AI Agents Are Outpacing Enterprise Data Readiness Read More »
Convertr has launched Convertr Govern, a governance module that enforces account-level compliance policies on lead and contact data before records reach downstream systems. The announcement targets the EU AI Act’s August 2026 transparency requirements and a demonstrated market gap: 74% of managers say they wouldn’t pass a compliance audit of their lead data practices tomorrow. ECI Research data shows AI-related risk is now the #1 driver of security spending for 35% of organizations, putting contact data governance squarely in the crosshairs.
Convertr Govern: Closing the Contact Data Compliance Gap Read More »
Acceldata has launched AI Observability as a native capability of its xLake Data & AI Platform, connecting agent traces directly to data quality, lineage, and pipeline health across hybrid environments. The announcement targets a gap no existing AI observability tool fully closes: tracing an agent failure back to the data that caused it. For enterprises running workloads across both cloud and on-premises infrastructure, this positions data governance as an enabler of AI deployment rather than a constraint on it.
Governing Agents Across Hybrid Data Read More »
Most enterprises are running AI on ungoverned data foundations, and the gap between ambition and operational reality is widening. Quest Software’s Global Field CTO Sue Lane joins ECI Research’s Paul Nashawaty to explain why data quality, semantic layers, and portable governance frameworks determine whether AI investments deliver in production. The governance gap isn’t a maturity problem waiting to close — it’s an active risk posture demanding immediate structural attention.
The Enterprise AI Governance Gap Is a Data Problem First Read More »
Anomalo introduces AIDA, an AI data analyst powered by its data quality intelligence layer, combining natural-language reasoning with Google, Databricks, and Snowflake integrations.
Anomalo Launches AIDA: Intelligent Data Analyst Built on Trusted Data Quality Platform Read More »
Anomalo’s new Workflows feature enables enterprises to monitor, curate, and govern unstructured data for Gen AI, transforming it into a trusted input for scalable AI pipelines.
Unlocking Trust and Insights: Anomalo Reimagines Unstructured Data for Gen AI Read More »
Anomalo’s new Snowflake Native App enhances data quality and observability directly within the Snowflake ecosystem. Learn how this integration helps enterprises ensure data security and compliance while improving business outcomes.
Anomalo Expands Its Reach with Snowflake Native App Read More »