Practical Steps to Prepare Enterprise Data for Generative AI: Gartner
Enterprises are hitting data‑quality and accessibility roadblocks as they scale generative AI, with over 25% of AI leaders citing these issues as top barriers. Gartner’s 2026 survey shows that firms using automated data‑readiness assessments are 2.3 times more likely to achieve high data‑engineering effectiveness. The report outlines four practical steps—appointing a data leader, enriching data with metadata, enforcing security policies between enterprise data and commercial LLMs, and leveraging AI for data preparation—to build trustworthy, GenAI‑ready datasets. These actions aim to reduce risk, cut costs, and accelerate AI‑driven business outcomes.
Why Data Quality Matters when Working with Data at Scale
Data quality is often relegated to a post‑deployment cleanup, leading to costly fixes and eroded trust when pipelines drift from their original contracts. The article outlines how typical data projects move from cross‑functional planning to staging validation, yet assume the...
Swiss Stock Exchange SIX, Snowflake Partner to Simplify Access to Financial Data
Switzerland’s SIX stock exchange has teamed up with Snowflake to deliver its regulatory, reference and pricing data directly within Snowflake’s AI Data Cloud. The integration uses Snowflake’s zero‑copy data sharing, letting clients query SIX data without moving or duplicating it....
Snowflake Manager Explains the 'Spider-Man' Theory of AI Agent Data Access
Snowflake says the biggest hurdle for AI agents is clean, accessible, governed data, not model quality. To address this, the company is building an interoperable stack around the Apache Iceberg open table format, including Iceberg REST and Polaris‑based governance. The...
Why Data Governance Is the Secret to AI Agent Success
The article warns that AI agents can magnify weak DevOps and data‑governance practices, turning minor flaws into large‑scale risks. While 70% of IT leaders believe strong DevOps aids AI adoption, only 39% have automated audit trails, exposing a governance gap....
Schema Evolution in Delta Lake: Designing Pipelines That Never Break
Schema drift—unexpected column additions or type changes—frequently breaks Spark pipelines. Delta Lake mitigates this risk with two complementary features: schema enforcement, which rejects mismatched writes, and schema evolution, which can automatically merge new columns when explicitly enabled. Each schema change...
SVT Robotics Launches ‘Softbot Intelligence’ to Power AI with Real-Time Automation Data
SVT Robotics unveiled Softbot Intelligence, a platform that captures and contextualizes real‑time execution data from robotics, software, and enterprise systems. By correlating events with millisecond precision, the solution creates a high‑fidelity data backbone that AI can consume for accurate predictions...
Infometry Launches INFOFISCUS Conversa for macOS to Interact with Enterprise AI Analytics Using Natural Language
Infometry has released a native macOS version of its INFOFISCUS Conversa platform, letting executives ask plain‑English questions and receive AI‑generated insights without writing SQL or consulting dashboards. The app translates natural language into optimized queries for cloud warehouses such as...
Dune Analytics Adds Support for Datashare and Tempo Blockchain
Dune Analytics unveiled a fully integrated dbt connector that streams transformed blockchain data directly into Snowflake or BigQuery, eliminating the need for separate ETL pipelines. The platform now covers more than 130 blockchains through its Datashare library, offering ready‑made tables...
Data Integration: A Guide to Types, Tools, and Use Cases
Data integration consolidates disparate sources into a single, reliable view, moving data through identification, ingestion, transformation, loading, QA, and governance. The guide outlines common methods—ETL, ELT, streaming, API‑based, iPaaS, and CDC—and highlights tools like Zapier, Fivetran, and Azure Data Factory....
How Agentic Analytics Is Shaping Decision-Making Within Enterprises
Enterprises are moving beyond static dashboards to Agentic Analytics, an AI‑driven approach that monitors, interprets, and acts on real‑time data without human prompts. By embedding autonomous agents into finance, supply‑chain, and sales workflows, companies can flag risks, predict outcomes, and...
Minor Hotels Unveils Plans for Global Data and AI Platform
Minor Hotels announced a new global data and AI platform built with Google Cloud, Salesforce, OneTrust and Deloitte. The platform will unify guest data across its 63‑country footprint, enabling real‑time personalization and AI‑driven service. Designed from scratch, it leverages generative...
New Jersey Uses Data to Improve Population Health
New Jersey’s Integrated Population Health Data (iPHD) project, created by statute in 2016, now links more than 90 million person‑level health and administrative records. The initiative, funded by the state Department of Health, breaks down data silos across agencies to support...
Minor Hotels Builds AI Stack From Scratch To Improve Personalization
Minor Hotels is constructing a brand‑new global AI and data platform to connect guest information across its portfolio of more than 640 hotels and 12 brands. By building the stack from the ground up, the company sidesteps the legacy‑system bottlenecks...
Cloudera Supports Its Hybrid Data Platform with Latest Enhancements
Cloudera unveiled a suite of enhancements to its hybrid data and AI platform, extending support through 2032 and promising a unified experience across cloud and on‑premises environments. The upgrades focus on operational stability, simultaneous updates for hybrid estates, and new...
The Infrastructure AI Needs: Why MDM Must Become a System of Trust
Enterprises are hitting a wall on AI not because models are flawed but because their data infrastructure remains fragmented and reconciled after the fact. Syncari argues that a continuously mastered, real‑time control plane—what it calls Agentic MDM—provides the trusted data...
Data Governance Is Top Barrier To MSP AI Adoption: Survey
A new AvePoint‑Omdia survey of 333 MSP executives finds data governance and compliance are the biggest obstacles to AI adoption, with 51% naming it the top barrier. The AI services market is projected to reach $276 billion by 2030, creating a...
I Asked 5 Data Leaders About How They Use AI to Automate - and End Integration Nightmares
Data leaders across industries are turning to generative AI and automation to tame complex data‑integration projects. Thomson Reuters is piloting an internal AI tool for M&A due diligence, while Create Music Group runs more than 600 pipelines with Astronomer’s Astro...
The Diverse Responsibilities of a Principal Software Engineer
Liberty IT’s principal software engineer Sarah Whelan leads data pipeline enablement and experimentation, delivering reliable datasets for product and analytics teams. Her day blends technical design—creating reusable patterns, observability tools, and testing frameworks—with cross‑functional collaboration and mentorship. Whelan also co‑chairs...
Unstructured Data Is Piling up as AI Risks Rise
A new Thales report, based on a survey of 210 IT and security leaders, finds that more than half of enterprises lack full visibility into their unstructured data estates, and 68% say most of that data remains unprotected. Only 9%...
Agentic AI Will Fail without a Stronger Data Backbone
Enterprises are rapidly moving from experimenting with AI agents to scaling agentic AI, with 23% already deploying agents in at least one function. However, many organizations still rely on legacy, fragmented data stacks that cannot meet the low‑latency, high‑throughput demands...
Nasuni CEO On Expanding Cloud-Native Unstructured Data Platform For AI
Nasuni, a long‑time leader in cloud‑native global file systems, announced two AI‑focused offerings—AI Activate and Active Everywhere—aimed at giving enterprise AI applications secure, permission‑aware access to unstructured data. CEO Sam King framed the move as a natural evolution from the...
Video Forum: Natalie Ryan, The Emerson Group
Natalie Ryan, vice president of data strategy, insights and analytics at Emerson Group, highlighted the critical role of timely, actionable information for retailers and their CPG partners. She examined current shopper trends, noting how AI is reshaping demand forecasting and...
ACM Prize in Computing Honors Matei Zaharia for Foundational Contributions to Data and Machine Learning Systems
The ACM announced Matei Zahara as the 2026 recipient of the ACM Prize in Computing, recognizing his pioneering work on distributed data systems that power large‑scale machine learning and AI. The $250,000 award, funded by Infosys, highlights his creation of...
StreamNative Unveils New Architectural Paradigm Uniting Streaming and Lakehouses
StreamNative, the company behind Apache Pulsar, announced Lakestream, a new architecture that fuses streaming with lakehouse storage, and launched Ursa For Kafka (UFK) in limited public preview. Lakestream collapses the traditional divide by storing Kafka topics as Iceberg or Delta Lake tables,...
China’s National Data Administration Issues Draft Guidelines for Data Property Registration (Trial) for Public Comment
On April 3 2026 China’s National Data Administration released draft guidelines for data property registration, inviting public comment until April 19. The proposal creates a unified national system where data ownership certificates can be recorded as intangible assets on corporate balance sheets or...
Army Operations Center Is Trying to Solve Battlefield Data Problems in Real Time
The U.S. Army launched the Army Data Operations Center (ADOC) on April 3 to act as a rapid‑response help desk for battlefield data challenges. A small team of civilian and soldier engineers has already fielded seven deconfliction requests from training units...
Amazon S3 Files Gives AI Agents a Native File System Workspace, Ending the Object-File Split that Breaks Multi-Agent Pipelines
Amazon announced S3 Files, a service that mounts any S3 bucket directly into an agent’s local environment using Elastic File System technology. The solution provides true file‑system semantics while keeping S3 as the system of record, eliminating the need for...
Bridging the Hybrid Data Gap with ETL Pipelines: A Strategic Approach to Legacy and Cloud Migration
Enterprises operating in hybrid environments face data silos, inconsistent formats, security gaps and costly manual transfers. The article proposes a hybrid data layer powered by automated ETL pipelines as the strategic bridge between on‑premise legacy systems and cloud applications. By...
Is Your Data Integrity Framework Just a Fancy Spreadsheet?
Many midsize firms rely on static spreadsheets as data integrity frameworks, but these documents quickly become outdated, leading to poor data quality. A Gartner 2023 survey estimates the average cost of bad data at $12.9 million per year. The article contrasts...
The Hidden Cost of UI-Driven Data Pipelines: Why Teams Are Moving to Infrastructure as Code
UI‑driven data pipeline tools let early‑stage teams launch pipelines quickly, but the convenience hides configuration state across multiple dashboards and vendor accounts. As organizations scale, hidden operational debt accumulates, leading to schema drift, silent failures, and an inability to diff...
Analyst Explains Why Ontology Separates Palantir (PLTR) From Peers
UBS analyst Karl Keirstead said Palantir’s ontology layer, paired with Foundry’s metadata mapping, turns raw enterprise data into actionable insights and creates a hard‑to‑replicate AI moat. He listed Palantir among the eight best U.S. stocks for the next five years....
Data Dominion: How Zeta Global Cracked the AI Code for the Next Generation of Martech
Zeta Global, led by CEO David A. Steinberg, has positioned its AI‑first data platform as a core infrastructure for marketers, now serving 51% of the Fortune 100. The company launched Athena, a voice‑enabled AI copilot built with OpenAI, after proving that...
Bigeye Joins Snowflake-Led Open Semantic Interchange to Power Data and AI Interoperability
Bigeye announced its membership in Snowflake‑led Open Semantic Interchange (OSI), an open‑source effort to create a vendor‑neutral specification for semantic metadata. OSI seeks to unify fragmented data definitions so metrics stay consistent across dashboards, notebooks, and machine‑learning models. By joining,...
Wishtree Technologies Announces Partnership with Databricks to Strengthen Data and AI Capabilities
AI‑native product engineering firm Wishtree Technologies announced it is now an official partner of Databricks, the leading data and AI platform. The collaboration enables Wishtree to deliver unified data pipelines, industry‑specific Unity Catalog models, and production‑grade AI solutions built on...
Boomi Calls It “Data Activation” And Says It’s the Missing Step in Every AI Deployment
Boomi warns that fragmented, poorly‑labelled data is the biggest obstacle to enterprise AI in 2026. The company tracks 75,000 AI agents in production across more than 30,000 customers, including over a quarter of the Fortune 500. Its March 9 platform update...
Data, Not Infrastructure, Must Drive Your AI Strategy
Companies often build data silos that block AI collaboration, forcing teams to work in isolation. Insight Enterprises helped a large multinational set up an AI Center of Excellence, unlocking shared data assets and enabling data scientists to solve previously intractable...
Navigating Smart Water Metering: Help Is Here The Smart Water Networks Forum (SWAN)
The Smart Water Networks Forum, in partnership with the Water Research Foundation, has released a Smart Metering Playbook that consolidates insights from over 50 utilities across 22 countries. The guide maps the maturity curve from pilot projects to full‑scale Advanced...
V2 AI Builds up Databricks Expertise with Silver Partner Designation
V2 AI has achieved Databricks Silver partner status, confirming its baseline performance, revenue generation, and certified expertise in the data‑and‑AI space. CEO Craig Howe said the designation validates the firm’s work building scalable, high‑performance data platforms that turn data into...
SAP Business Data Cloud Explained: A New Model for ERP Data and Analytics
SAP Business Data Cloud (BDC) is a fully managed SaaS that unifies data management, governance, and analytics across SAP and non‑SAP systems, tackling the fragmentation that still plagues most ERP environments. A recent SAPinsider benchmark shows only 3% of organizations...
SAP and ODI Team Up to Make Enterprise Data AI‑Ready
SAP and the Open Data Institute (ODI) have launched a global program to create AI‑ready data foundations for enterprises. The initiative underpins IDEA (Interchange for Data and Enterprise AI), a neutral framework that defines governance, semantics, and lineage across heterogeneous...
Radim Marek: Don't Let Your AI Touch Production
AI coding agents now generate SQL that looks correct but often ignores execution plans, locking behavior, and data distribution, leading to costly production incidents. Radim Marek argues that the missing piece is real‑time awareness of the production schema, including table...
Data Platform Unifies Blood Cancer 'Omics' And Clinical Data to Accelerate Discovery
Scientists from St. Jude Children’s Research Hospital, the American Society for Hematology and the Munich Leukemia Laboratory launched the ASH HematOmics (ASHOP) platform, uniting genomics, transcriptomics and clinical data from 5,960 blood‑cancer patients. The open resource combines whole‑genome and whole‑transcriptome...
Dremio Deepens Apache Iceberg Leadership with V3 Support
Dremio announced full native support for Apache Iceberg V3 in Dremio Cloud, adding capabilities such as the VARIANT data type, deletion vectors, and advanced schema‑evolution controls. The company also highlighted JB Onofre’s election to the Apache Software Foundation board and...
The 15 Hottest AI Data And Analytics Companies: The 2026 CRN AI 100
CRN’s 2026 AI 100 spotlights 15 data‑management firms powering the surge of AI agents and generative models. Databricks announced a $1.4 billion annual revenue run rate for its AI suite, while Alteryx, ThoughtSpot, and others unveiled new agentic platforms that embed industry‑specific...
SageX AI Launches Unstructured Data Platform for Hedge Funds and Asset Managers – AI Data Transformation for Capital Markets
SageX AI has launched an unstructured data platform tailored for hedge funds and asset managers, promising to turn the 90% of unstructured data into AI‑ready, structured intelligence. The no‑code solution claims to cut data processing costs by up to 90%...
How Meta Used AI to Map Tribal Knowledge in Large-Scale Data Pipelines
Meta built a pre‑compute engine of 50+ specialized AI agents that scanned its 4,100‑plus file, three‑repo data pipeline and produced 59 concise context files capturing tribal knowledge. This "compass" layer lifted AI coverage from roughly 5% to 100% of the...
Denodo Joins the Open Semantic Interchange to Advance Data and AI Interoperability
Denodo, a leading data‑management vendor, has joined the Open Semantic Interchange (OSI), an open‑source effort spearheaded by Snowflake to create a vendor‑neutral semantic metadata specification. OSI aims to standardize fragmented data definitions across industries, enabling seamless exchange of business metrics....
Richard Yen: WAL as a Data Distribution Layer
Analysts need timely production data, but traditional approaches—direct primary queries, streaming replicas, or nightly ETL snapshots—introduce performance risk, replication lag, or stale information. The article proposes using PostgreSQL’s write‑ahead log (WAL) shipping as a data distribution layer, decoupling log transport...
IBM Deploys AI-Ready Data Lakehouse for India’s Tata Play Fiber
IBM has implemented an AI‑ready data lakehouse built on its watsonx platform for Tata Play Fiber, India’s leading fiber broadband provider. The solution merges 25 separate data sources into a unified, scalable environment, enabling real‑time analytics and advanced AI workloads. By consolidating...