Storage News Ticker - 24 April 2024

Why It Matters

These findings show that data accessibility, quality, and energy efficiency are becoming the limiting factors for AI adoption, driving vendors to prioritize integrated cloud tools, performance‑optimized storage, and sustainability initiatives.

Key Takeaways

• DataHub’s new Google Cloud Knowledge Catalog connector enables bidirectional metadata sync
• Denodo’s AI Trust Gap Report finds 63% of execs can’t locate data
• DoubleTrack projects U.S. dirty‑data cost to hit $3.5 trillion by 2036
• Fivetran ingested 18 trillion rows into BigQuery in 2025, +30% YoY
• EDB predicts AI agents will double data‑center power use by 2030

Pulse Analysis

Data quality and trust are emerging as the most pressing obstacles to AI deployment. Denodo’s AI Trust Gap Report, backed by a survey of 850 executives, shows that a majority of organizations cannot find or secure the data needed for AI models, echoing DoubleTrack’s estimate that dirty data already costs the U.S. economy $617 billion and could balloon to $3.5 trillion by 2036. As AI workloads expand, enterprises are forced to invest in robust data governance, metadata management, and cleansing tools to protect model integrity and regulatory compliance.

At the same time, cloud‑native data integration is accelerating. DataHub’s open‑source connector for Google Cloud’s Knowledge Catalog and Iceberg Rest Catalog simplifies metadata synchronization for customers like Etsy, while Fivetran’s 30% YoY increase to 18 trillion rows ingested into BigQuery highlights the massive scale of AI‑driven pipelines. Vendors such as EDB are delivering faster vector indexing and lower token usage, and hardware innovators like HighPoint and SK Hynix are rolling out PCIe Gen5 NVMe solutions that cut latency and boost bandwidth, all aimed at reducing the energy footprint of data‑intensive workloads.

Looking ahead, the proliferation of AI agents will dramatically raise power consumption, with EDB projecting a doubling of data‑center electricity demand by 2030. Sustainability reports from Hitachi Vantara and Western Digital demonstrate industry‑wide moves toward renewable energy, lower CO₂‑per‑terabyte metrics, and recyclable materials. Partnerships such as Yugabyte’s collaboration with AWS and Rubrik’s cyber‑resilience for Google Cloud SQL illustrate a broader shift toward secure, efficient, and environmentally conscious AI infrastructure, positioning data‑centric strategies as the cornerstone of future enterprise competitiveness.