Corvic Al Launches Individual Plans and Brings Its Agentic Data Engine to General Availability Across Cloud Marketplaces
Corvic AI announced the general availability of its V3 Intelligence Composition Platform, featuring an agentic data engineering engine that converts multimodal operational data into structured outputs. The rollout includes new Individual Plans aimed at AI engineers, analysts, and operations teams, and the platform is now listed on AWS, Google Cloud, and Azure marketplaces. Existing customers such as Bosch, Merck, and Creative Labs report reducing manual data processing from weeks to days. The launch positions Corvic to address the costly "fractured evidence" problem that hampers enterprise AI initiatives.
What Is the Solid Project and What Could It Mean for Businesses?
The Solid Project, championed by Tim Berners‑Lee, proposes personal data pods that let individuals own and control their digital information. If widely adopted, businesses will need to shift from hoarding data to accessing it via secure APIs and zero‑trust architectures....
How EDF Is Making the Most of Its Data with Snowflake
EDF UK has made Snowflake AI Data Cloud the backbone of its data strategy, unifying hundreds of data sources for over 1,000 internal users. The utility’s federated hub‑and‑spoke model lets central data services handle tooling and architecture while business units build...
What’s Really Needed For Advanced Test?
Advanced test in semiconductor manufacturing promises adaptive binning, feed‑forward models and real‑time analytics, but the industry’s biggest obstacle is data quality. PDF Solutions highlights that misaligned metadata and incomplete tool‑level data routinely break automated test flows, forcing engineers to intervene...
Developer Eyes Broken Arrow, Oklahoma, for New Data Center Development
Broken Arrow, Oklahoma, is evaluating a potential data‑center project on a 51‑acre parcel between Creek Turnpike and State Highway 51. The unnamed developer has requested a pre‑development meeting, expected within the next four to eight weeks, but no approvals have been...
An AI Adoption Imperative: Centralized Sources of Governed Truth
Higher education institutions must shift from siloed data to centralized, governed sources to unlock generative AI’s potential. The article stresses that AI success now depends on “words” – accessible, certified data – rather than technical expertise. It highlights the medallion...
How to Shortlist Data Engineering Services Providers: A Side-by-Side Evaluation Guide
The guide presents a structured approach to shortlisting data‑engineering services providers, stressing governance, low‑latency logic, and business‑outcome focus over mere price. It categorizes enterprise needs into three maturity buckets—greenfield, modernization, and scaling—and defines five core evaluation criteria such as unified...
O9 Solutions Integration with Snowflake Advances Enterprise Planning on a Unified Data Foundation?
o9 Solutions announced a deep integration with Snowflake’s Connected Application framework, linking its Digital Brain platform to the Snowflake AI Data Cloud. The partnership enables continuous, governed data flows between Snowflake and o9, allowing planning models to consume source‑of‑truth data...
SSRS Is Dead. Here Are Your Real Options
Microsoft removed SQL Server Reporting Services (SSRS) from the SQL Server 2025 release, signaling the end of new feature development for the platform. Existing SSRS 2022 installations will receive extended support through 2032, but mainstream support ends in 2027, leaving...
Christophe Pettus: All Your GUCs in a Row: Autovacuum_vacuum_max_threshold
PostgreSQL 18 introduces a new configuration parameter, autovacuum_vacuum_max_threshold, that caps the number of dead tuples before an autovacuum is triggered. The default cap of 100 million tuples automatically overrides the classic scale‑factor formula for tables larger than roughly 500 million rows, halving the...
Unified Farm Data Layer Brings AI-Ready Agronomy Analytics to Agriculture
Leaf Agriculture has launched a unified farm data layer that aggregates inputs from major equipment manufacturers, soil labs, satellite imagery, and weather services into a single, SQL‑queryable environment called LeafLake. The platform leverages Wherobots to spatially process telemetry and imagery,...
AI & Data Exchange 2026: NIH’s Susan Gregurick on Overcoming Data Silos with AI Analytics
At the AI & Data Exchange 2026, NIH associate director for data science Susan Gregurick outlined the agency’s aggressive push to use artificial intelligence for breaking data silos and accelerating health research. NIH is leveraging AI partnerships with the Energy Department...
Retail AI Has a Data Problem: Here’s How to Fix It
Retailers’ experiments with AI‑driven checkout, such as Walmart’s ChatGPT pilot, revealed conversion rates three times lower than traditional web checkout, prompting OpenAI to retreat from instant checkout and refocus on product discovery. Analysts at Bain project the U.S. agentic commerce...
Telefónica Launches Sovereign Data Sharing Platform
Telefónica has launched a sovereign data‑sharing platform, unveiled in Barcelona, that creates multi‑sectoral data spaces where organisations can exchange structured data without centralising it. The federated architecture preserves data sovereignty, offering tools for access control, digital contracts, usage policies, semantic...
Christophe Pettus: Pg_lake vs Lakebase: Two Very Different Things Called “Postgres + Lakehouse”
Snowflake’s pg_lake and Databricks’ Lakebase both market themselves as PostgreSQL‑plus‑lakehouse solutions, yet their architectures diverge sharply. pg_lake retains an unmodified PostgreSQL binary and layers Iceberg tables via a suite of extensions, delegating heavy scans to a DuckDB sidecar. Lakebase, built...
Data Governance Metrics: Measure Success, Identify Issues
The article outlines a comprehensive framework for measuring data governance success through six distinct metric categories: operational, data quality, availability and usage, security and privacy, stewardship, and literacy. It emphasizes that tracking these KPIs not only validates the business value...
The Data Warehouse Concurrency Playbook: Surviving the "Super Bowl" Moment
A real‑time dashboard surge can cripple a data warehouse despite ample CPU, as queues, retry storms, and hidden bottlenecks overload the system. The article presents a four‑step playbook—classify queries, control admission, prioritize fairly, and shed load—to keep Tier‑0 executive dashboards...
SAP Bets $1B on AI Acquisitions to Lock In Enterprise Data
SAP announced the acquisition of data‑lakehouse platform Dremio and tabular AI specialist Prior Labs, funded by a €1 billion ($1.08 billion) investment to create a European AI lab focused on structured‑data models. The combined stack lets SAP ingest, prepare and analyze massive...
Trusted Data Foundations for AI in Healthcare and Government
At Snowflake Accelerate 2026, leaders from healthcare and the public sector emphasized that a trusted, governed data foundation is the prerequisite for any AI success. The event showcased how breaking down data silos and adding semantic context enabled faster, more...
Huckleberry Signals Is Helping the Fresh Produce Supply Chain Turn Scattered Data Into Answers
Huckleberry Signals, founded by industry veterans Joe Vargas and Amanda Kuelker, has launched an AI‑powered conversational analyst called Huck that sits atop existing ERP, warehouse, BI and spreadsheet systems in the fresh‑produce supply chain. The platform creates a governed data...
Los Angeles County Works to Modernize Its Public Health Data Infrastructure
Los Angeles County’s Department of Public Health is overhauling its data infrastructure by adopting the Fast Healthcare Interoperability Resources (FHIR) standard, a move driven by the CDC Foundation’s Workforce Acceleration Initiative (WAI). Data engineer Joe Martin is leading efforts to...
Why a Modern Data Foundation Takes More than a New Platform
Data modernization initiatives often start with a platform swap, but the real challenge lies in the accumulated technical and reporting debt surrounding that platform. Inconsistent KPI definitions, fragmented master data, and scattered business logic erode trust before any infrastructure failure...
Data Residency Becomes the GCC’s Next AI Battleground
AI adoption in the Gulf Cooperation Council has shifted from experimentation to a focus on data residency, turning it into a strategic differentiator. Sovereign‑AI strategies are urging governments and enterprises to keep data, models and compute under local control while...
Burmester & Vogel: ‘I Want to Build the Bloomberg of Shipping’
Burmeister & Vogel CEO Evangelos Efstathiou unveiled a patent‑pending AI engine that ingests every type of shipping document to automate laytime and demurrage calculations, turning raw data into instant market intelligence. He warned that many shipowners misunderstand AI’s capabilities, urging...
Inside FDP – Part 2: Delivering on the NHS Vision for Data
The NHS’s Frontline Data Platform (FDP) shifts from a reporting‑first model to a Frontline‑First approach, embedding data tools directly into clinical workflows. By leveraging Palantir Foundry’s low‑code environment, trusts can build and deploy applications such as Optica, cutting discharge delays...
Hexion Deploys 30 Petabyte Sovereign Data Archive in South Africa
South African storage firm Hexion has deployed a 30‑petabyte deep‑archive platform, one of the region’s largest privately operated data archives. The solution stores all customer data within South Africa, addressing data‑sovereignty, compliance, and cybersecurity concerns for sectors such as finance,...
The Data Accountability Trap: Why Federal AI Success Hinges on Stewardship over Software
Federal agencies are shifting AI focus from new algorithms to the data they already hold. The March 2026 White House AI policy and recent OMB directives emphasize enterprise‑wide data governance as the primary lever for mission‑ready AI. New contractual rules,...
To Effectively Adopt AI, a Strong Analytics Backbone Is Needed
HIMSS introduced its Analytics Maturity Assessment Model to steer health systems away from rushing AI tool deployments and toward strengthening the underlying data infrastructure. Andrew Pearce, HIMSS VP of analytics, emphasizes that a robust analytics backbone—encompassing data warehousing, governance, and...
How Data-Driven Grocery Recommendations Help Shoppers Eat Better With Less Effort
A BusinessWire survey shows 42% of shoppers now rely on big‑data tools for grocery decisions, and retailers are deploying AI‑powered recommendation engines to personalize offers. Personalization is deemed essential by 89% of marketers, with 95% reporting success. These systems help...
Data Governance Is How Marketing Gets the CEO?s Attention
Data governance has moved from a marketing back‑office function to a C‑suite priority as compliance risks and brand exposure intensify. CEOs are now demanding clear guardrails on data access, quality, and permissions, often through dedicated governance teams reporting directly to...
Why Most Tools Fall Short for Large-Scale Information Governance and What Actually Works
Enterprise information governance projects struggle with multi‑terabyte, distributed data because most tools rely on Elasticsearch, a Java‑based, centralized index that demands massive memory, data duplication, and lengthy ingest times. The architecture forces a full copy of sensitive files, creating compliance...
Build a Data Governance Team that Delivers Results
Enterprises face mounting regulatory scrutiny and AI‑driven decision‑making challenges, exposing gaps in data governance when policies lack clear ownership. The article argues that a dedicated data‑governance team, backed by an engaged executive sponsor, is essential to translate frameworks into actionable...
Snowflake and Veeva Unlock Agentic AI in Life Sciences
Snowflake and Veeva announced a joint solution that links Veeva Vault’s read‑only data to Snowflake’s AI Data Cloud via the Openflow Connector. The integration lets life‑science firms run end‑to‑end analytics and agentic AI across clinical, safety, regulatory, quality and commercial...
Formulas for Aha: The Structure of a Moment at Data Summit 2026
Chantel Wilson Chase, chief data officer at Customer ThriveData, closed the Analytics & Semantic Layers track at Data Summit 2026 in Boston with a session on measuring life’s “Aha moments.” She introduced the Wilson Life Formula, which integrates operational, perception,...
Day 1 Data Summit 2026 Keynotes Offer a New Way to See Data Through the Eyes of AI
At Data Summit 2026, Rubrik’s Cal Al‑Dhubaib unveiled "Trust Engineering," a framework for scaling agentic AI beyond pilots by embedding governance, observability and human‑AI workflow design. IBM’s Kiyu Gabriel highlighted that fragmented, context‑poor data and weak security prevent AI agents from...
Deciphering Data Architectures at Data Summit 2026
At Data Summit 2026, Microsoft AI architect James Serra compared four data‑architecture models—modern data warehouse, data fabric, lakehouse, and data mesh—to help enterprises decide which fits their needs. He described a modern data warehouse as a hybrid of relational storage...
Optimizing Performance with Reinforcement Learning at Data Summit 2026
Cisco’s Hina Gandhi presented a reinforcement‑learning framework that enables Apache Spark to self‑tune partitioning decisions before execution. By applying Q‑learning, the RL agent observes metrics such as shuffle size, task duration, data skew, and executor utilization, then selects actions that...
Christophe Pettus: What a Data Lake Actually Is (and Why You Probably Don’t Need One)
Christophe Pettus argues that most firms don’t need a data lake and many that build one end up with a costly “data swamp.” He distinguishes three data systems: transactional databases for day‑to‑day operations, data warehouses for structured analytics, and data...
Building an Intelligent Enterprise Requires Managed Data Assets
InfoBluePrint CEO Bryn Davies warns South African enterprises that data management is now an existential requirement, not a back‑office function. Compliance with POPIA and the new King V governance code is merely the baseline; true maturity is measured by trust, interoperability...
The Hidden Data Discovery Problem Inside Modern Healthcare Enterprises
Healthcare enterprises are hitting a hidden bottleneck: finding and trusting the right data before any analytics or AI work can begin. Avinash Maddineni notes that teams often spend one to two weeks digging through stale catalogs and manually tracing lineage,...
Snowflake Openflow & Cortex Code: AI-Driven Data Integration
Snowflake introduced Openflow, a native NiFi‑based data integration service that runs on Snowflake‑managed or BYOC infrastructure, enabling CDC, Kafka, SaaS and file‑based ingestion without extra staging. Building on Openflow, the company launched Cortex Code, an AI coding agent that lets...
Accelerate Business Success with Automated Data Modeling at Data Summit 2026
At Data Summit 2026 in Boston, Hackolade CEO Pascal Desmarets led a pre‑conference workshop titled “From Strategy to Structure,” showing how hands‑on data modeling turns strategic intent into actionable analytics. He emphasized the three modeling layers—conceptual graph, logical polyglot, and...
Modern Data Architecture Approaches to BI and AI at Data Summit 2026
At Data Summit 2026 in Boston, Radiant Advisors analyst John O’Brien presented a four‑step framework for evolving data architectures from traditional BI to generative AI. The methodology starts with business‑strategy definition, translates it into analytics capabilities, then prioritizes a cloud‑native...
Komprise Patents Dynamic Load Balancing Tech
Komprise has secured US 12566637‑B2 for its Elastic Shares technology, which dynamically subdivides large unstructured data sets across multiple compute engines for faster AI processing. The patented system uses a job‑supervisor to monitor engine status and reassign work instantly, eliminating idle...
Modernization Is Not Migration
Modernization now means re‑architecting the release and observability processes, not just moving workloads to the cloud. A financial firm replaced a single‑threaded Jenkins‑driven DataStage migration with three parallel migration servers, shrinking weekly release windows from two hours to 45 minutes....
Diskless Databases: What Happens when Storage Isn’t the Bottleneck
Diskless databases remove local persistence from the critical path, pairing in‑memory indexing with durable object storage. By separating compute from storage, they deliver millisecond‑level latency for ingest and query, even at petabyte scales. The architecture eliminates traditional replication complexity and...
SAP to Acquire Data Lakehouse Vendor Dremio
SAP announced it will acquire data‑lakehouse vendor Dremio for an undisclosed price, aiming to embed an Apache Iceberg‑native lakehouse into its Business Data Cloud. Dremio’s technology lets enterprise data stay in‑place, providing federated access and AI‑ready semantics without costly data...
How Cities Are Using Data to Analyse the Impact of Mega-Events
Cities preparing for the 2026 FIFA World Cup are moving from traditional forecasts to real‑time payments data to quantify economic impact. Visa’s anonymized transaction feeds let officials see where visitors spend, how demand shifts across neighborhoods, and which sectors benefit...
SAP Buys Dremio, Prior Labs for AI Data Push
SAP announced two strategic acquisitions to strengthen its enterprise‑AI data infrastructure. It will buy Dremio, a data‑lakehouse platform, to augment the SAP Business Data Cloud and HANA Cloud with real‑time, non‑SAP data processing. SAP also secured Prior Labs, a startup...
Building Fault-Tolerant Kafka Consumers in Spring Boot Using Retry, DLQ, and Idempotent Code Patterns
The article explains how to build fault‑tolerant Apache Kafka consumers in Spring Boot 3 by configuring Spring Kafka’s retry handler, dead‑letter queue, and idempotent processing. It shows a sample `DefaultErrorHandler` that retries twice with a 1‑second back‑off before publishing failed records...