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DeeperML
@siliconangle.com
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Databricks is accelerating AI capabilities with a focus on unified data and security. The Data + AI Summit, a key event for the company, highlights how they are unifying data engineering, analytics, and machine learning on a single platform. This unified approach aims to streamline the path from raw data to actionable insights, facilitating efficient model deployment and robust governance. The company emphasizes that artificial intelligence is only as powerful as the data behind it, and unified data strategies are crucial for enterprises looking to leverage AI effectively across various departments and decision layers.
Databricks is also addressing critical AI security concerns, particularly inference vulnerabilities, through strategic partnerships. Their collaboration with Noma Security is aimed at closing the inference vulnerability gap, offering real-time threat analytics, advanced inference-layer protections, and proactive AI red teaming directly into enterprise workflows. This partnership, backed by a $32 million Series A round with support from Databricks Ventures, focuses on securing AI inference with continuous monitoring and precise runtime controls. The goal is to enable organizations to confidently scale secure enterprise AI deployments.
The Data + AI Summit will delve into how unified data architectures and lakehouse platforms are accelerating enterprise adoption of generative and agentic AI. The event will explore the latest use cases and product announcements tied to Databricks' enterprise AI strategy, including how their recent acquisitions will be integrated into their platform. Discussions will also cover the role of unified data platforms in enabling governance, scale, and productivity, as well as addressing the challenge of evolving Unity Catalog into a true business control plane and bridging the gap between flexible agent development and enterprise execution with Mosaic AI.
ImgSrc: d15shllkswkct0.
References :
Databricks is also addressing critical AI security concerns, particularly inference vulnerabilities, through strategic partnerships. Their collaboration with Noma Security is aimed at closing the inference vulnerability gap, offering real-time threat analytics, advanced inference-layer protections, and proactive AI red teaming directly into enterprise workflows. This partnership, backed by a $32 million Series A round with support from Databricks Ventures, focuses on securing AI inference with continuous monitoring and precise runtime controls. The goal is to enable organizations to confidently scale secure enterprise AI deployments.
The Data + AI Summit will delve into how unified data architectures and lakehouse platforms are accelerating enterprise adoption of generative and agentic AI. The event will explore the latest use cases and product announcements tied to Databricks' enterprise AI strategy, including how their recent acquisitions will be integrated into their platform. Discussions will also cover the role of unified data platforms in enabling governance, scale, and productivity, as well as addressing the challenge of evolving Unity Catalog into a true business control plane and bridging the gap between flexible agent development and enterprise execution with Mosaic AI.
ImgSrc: d15shllkswkct0.
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References :
- SiliconANGLE: What to expect during Databricks’ Data + AI Summit: Join theCUBE June 11
- siliconangle.com: Artificial intelligence is only as powerful as the data behind it — and for today’s enterprises, that means investing in unified data strategies from the ground up.
- Databricks: Your 2025 Data and AI Summit Guide for Cybersecurity Industry Experience
- Databricks: Databricks for Telecom at DAIS 2025
Classification:
- HashTags: #DataIntelligence #UnifiedData #AISecurity
- Company: Databricks
- Target: Enterprises
- Product: Databricks
- Feature: Unified Data
- Type: AI
- Severity: Informative