All news with #data governance tag

📡 Google Cloud and DigitalRoute are delivering reusable, cloud-native data pipelines that turn diverse telecom telemetry into AI-ready datasets. Running DigitalRoute’s Usage Engine Private Edition on GKE, the solution normalizes proprietary formats at edge and core, filters noise, and routes data into Spanner for real-time digital twins and BigQuery for large-scale analytics and training with Vertex AI. The result is consistent, contextualized subscriber traces that accelerate production-grade autonomous network use cases.

🔁 Amazon SageMaker Unified Studio now synchronizes catalog metadata and context with Atlan, Collibra, and Alation, aligning projects, assets, descriptions, glossary terms, and hierarchies across platforms. Collibra supports bidirectional synchronization and can manage SageMaker Unified Studio data access requests, while Atlan and Alation ingest metadata from SageMaker with additional enhancements planned. The Collibra integration is provided as an open-source solution on GitHub, and setup is performed by establishing connections from each partner to SageMaker Unified Studio.

🚀 Amazon SageMaker Unified Studio now supports AWS Glue 5.1 for Visual ETL, notebook, and code-based data processing jobs. With Glue 5.1 you can run on Apache Spark 3.5.6 with Python 3.11 and Scala 2.12.18, and use updated open table formats including Apache Iceberg 1.10.0, Apache Hudi 1.0.2, and Delta Lake 3.3.2. Select Glue 5.1 from the job version dropdown to apply the runtime across Visual ETL, notebooks, and code jobs.

🔄 Enterprises are reimagining data centers as they modernize infrastructure to balance on‑premises, public cloud and edge deployments. Many are repatriating workloads and evaluating hybrid or private cloud models to retain control, meet data‑protection requirements and improve efficiency. Simultaneously, AI inference, IoT and edge compute impose new demands on latency, location and power delivery. Rising energy prices and geopolitics are increasingly central to site selection and long‑term capacity planning.

🔒 Samsung and the State of Texas have settled a dispute over allegations that its smart TVs used Automated Content Recognition (ACR) to collect viewing data without users' express consent. Under the agreement, Samsung must halt collection or processing of ACR viewing data from Texas consumers unless they give clear, affirmative consent, and it will update TVs with clearer privacy disclosures and consent screens. Texas AG Ken Paxton said the settlement compels clear, conspicuous notices; Samsung maintains it did not spy on consumers but agreed to strengthen privacy notices.

🚀 PayPal completed a multi-year, large-scale migration of more than 300 petabytes of analytics data into BigQuery on Google Cloud to create a unified data foundation for generative AI. The initiative consolidated disparate platforms — including Teradata, Hadoop, Redshift, and Snowflake — and reduced vendor complexity. PayPal automated migration tasks, used live dashboards, and integrated FinOps to maintain zero business downtime while enabling faster queries and much fresher data for AI model training.

🔗 Ab Initio and Google Cloud announce integrations of data connectors, metadata connectors, and agent capabilities to help enterprises build agentic AI across hybrid environments. The integration federates distributed data into a unified layer and extends Dataplex with bi-directional metadata exchange, lineage, and active metadata. Together with BigQuery and Gemini, this enables explainable, auditable agents that operate on trustworthy, multi-cloud data.

🔗 Google Cloud and Ab Initio announced an integrated suite of data and metadata connectors, agents, and governance capabilities to give Gemini and other AI models reliable access to enterprise data across hybrid environments. The partnership federates over 500 sources and supplies field-level lineage from 100+ extractors to populate Dataplex and BigQuery with AI-ready context. This unified metadata hub aims to support explainable, auditable agentic AI while preserving distributed data ownership and compliance.

🚀 AWS Glue 5.1 is now available in eighteen additional AWS Regions, bringing the service to thirty-three Regions worldwide. The release upgrades core engines to Apache Spark 3.5.6, Python 3.11, and Scala 2.12.18, and refreshes support for open table formats including Apache Hudi, Apache Iceberg, and Delta Lake. It introduces Iceberg format v3.0 features, deletion vectors, multi-argument transforms, and row lineage tracking, and extends AWS Lake Formation fine-grained access control to write operations as well as full-table access control for Hudi and Delta tables. Customers can begin using the update via APIs, CLI, SDKs, Glue Studio, or SageMaker Unified Studio and should consult the documentation for migration and configuration guidance.

🔍 Amazon SageMaker now provides Data Lineage for Apache Spark jobs run on Amazon EMR and AWS Glue within IDC-based SageMaker Unified Studio domains. The feature captures schema and column-level transformations from EMR-EC2, EMR-Serverless, EMR-EKS, and Glue, and makes lineage explorable as a visual graph or queryable via APIs. Teams can compare transformation history across Spark jobs to investigate regressions, trace root causes, and assess impact. Spark lineage is available in all existing SageMaker Unified Studio regions.

🏭 This Enterprise Spotlight outlines how emerging technologies — from AI and extended reality to edge computing and digital twins — are reshaping manufacturing operations, workforce interactions, and product lifecycles. The February 2026 issue brings together editorial insight, case studies, and practical frameworks to guide CIOs and plant leaders through adoption and scaling. It emphasizes data governance, interoperability, and measurable ROI as critical enablers for responsible transformation.

🛈 OpenAI is rolling out a full-screen onboarding experience for ads in ChatGPT on Android, assuring users that sponsored content will be clearly labeled and separated from model answers. The company says ads will not change responses and that it will not sell personal data to advertisers, though current chats may influence which sponsored message appears. Users can hide or report ads, ask ChatGPT about an ad, and manage ad-related data via a new Ads controls setting; paid tiers are exempt.

🔍 Conversational Analytics in BigQuery (preview) brings an AI-powered reasoning agent into BigQuery Studio, enabling users to query, visualize, and forecast directly with natural language. The agent generates and executes SQL grounded in your schema, metadata, and verified queries, and it exposes the SQL and reasoning behind each answer to build trust. Security, governance, and audit logging are enforced by BigQuery’s compliance controls, and the feature also supports unstructured data and API integration for custom agents.

🔒 Gartner warns that the surge of AI-generated data threatens the reliability of large language models and predicts that 50% of organizations will adopt a zero-trust stance for data governance by 2028. A 2026 survey found 84% of CIOs expect increased generative AI funding, accelerating AI-produced outputs and raising the risk of model crash. Gartner advises authentication, verification, and proactive metadata tagging to identify AI-generated data and meet evolving regulatory demands.

🚀 AWS Glue is now available in the Asia Pacific (New Zealand) Region, enabling customers to build and run ETL workloads closer to their data sources. The AWS Glue serverless data integration service offers both visual and code-based interfaces to discover, prepare, and combine data for analytics, machine learning, and application development. This regional launch reduces latency, eases data residency compliance, and accelerates time-to-insight for New Zealand workloads.

🔒Gartner warns that the growing prevalence of AI-generated content could cause future LLMs to be trained on outputs from previous models, increasing risks of model degradation, hallucinations and bias. The analyst predicts up to half of organizations may adopt zero trust data governance amid rising regulatory scrutiny. Firms are urged to appoint AI governance leaders, strengthen metadata management and deploy authentication and verification controls to safeguard decision-making and financial outcomes.

🔒 This post outlines a practical technical approach to implementing data governance on AWS, focusing on monitoring, preventive controls, automated remediation, and advanced features such as data sovereignty and lifecycle management. It recommends an event-driven model using CloudTrail, EventBridge, Lambda, and AWS Config to validate and enforce tagging and security controls. The guidance covers organization-wide tag policies, ABAC with IAM conditions, multi-account strategies, and integration with on-premises governance via Service Catalog and compliant CloudFormation products.

🔒 This post outlines an automation-first approach to implementing data governance on AWS, aimed at teams starting new or improving existing frameworks. Part 1 focuses on strategy, a practical data classification framework, and tag governance as foundational elements. It details prerequisites (Organizations, CloudTrail, Config, IAM), organizational roles, KPIs, and recommended mandatory and optional tags to enable automated controls and continuous monitoring.

🔒Most people underestimate how much personal data is publicly available online. Exposed details — names, past addresses, phone numbers, family ties, and old usernames — make individuals easy targets for doxxing, scams, and stalking. The article advises removing data from people-search sites and directories, either manually or by using a data removal service such as Incogni, which automates searches and sends deletion requests. An Unlimited plan lets you submit custom removal links for broader coverage.

📉 ISACA's State of Privacy 2026 report reveals privacy teams are shrinking and underfunded despite mounting regulatory and technological pressures. The median privacy staff size fell to five from eight year-over-year, and technical privacy roles are notably understaffed while demand for those skills rises. Respondents report increased stress—35% say their role is 'significantly more stressful' and 30% 'slightly more stressful'—attributed to rapid tech evolution, compliance complexity and resource shortages. To close skill gaps, organizations are training interested non-privacy staff and increasing reliance on contractors, consultants and planned AI tools for privacy tasks.