Opinion: Page
The latest opinion pieces by industry thought leaders on Data
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Brand Experience Team/TechTarget
The database is the new battleground for enterprise AI
Agentic AI puts new pressure on enterprise databases, exposing gaps in the data access, security enforcement and tooling fragmentation that block production deployment.
Stephen Catanzano • March 24, 2026 -
Brand Experience Team/TechTarget
Why agentic AI demands both structured and unstructured data
Agentic AI must access both structured and unstructured data to reason effectively. Converging these data types is the defining operational challenge for enterprise AI in 2026.
Stephen Catanzano • March 10, 2026 -
Brand Experience Team/TechTarget
Key requirements for data and analytics governance platforms
Successful governance platforms require business and IT alignment, user-friendly design and scalable architecture to tie governance to measurable outcomes.
Guido De Simoni • March 9, 2026 -
Brand Experience Team/TechTarget
Real-time data streaming for AI: invest where it matters
Don't let batch processing lead to missed opportunities. Build AI systems for continuous data flows that deliver instant decisions, change outcomes and justify the cost.
Stephen Catanzano • Feb. 25, 2026 -
Brand Experience Team/TechTarget
The future of AI depends on better data, not bigger models
AI's competitive advantage is shifting from model scale to data quality. Organizations that invest in governance and infrastructure build more reliable, defensible systems.
Stephen Catanzano • Feb. 17, 2026 -
Brand Experience Team/TechTarget
The trust-at-speed paradox: Most data governance wasn’t built for AI
Agentic AI operates autonomously, exposing gaps in governance, data quality and accountability. Executives must address these limits to manage risk and move AI into production.
Stephen Catanzano • Jan. 27, 2026 -
Brand Experience Team/TechTarget
2026 will be the year data becomes truly intelligent
As AI moves into production, enterprises are redefining data management around shared meaning, operational trust and system coherence rather than standalone capabilities.
Stephen Catanzano • Jan. 5, 2026 -
Brand Experience Team/TechTarget
Why data semantics matters for context-aware systems
Data semantics organizes context, relationships and logic across enterprise data to create systems that understand how information connects and informs decision-making.
Stephen Catanzano • Oct. 30, 2025 -
Brand Experience Team/TechTarget
Data contracts help build trustworthy data products for AI
Data contracts establish clear expectations between data producers and consumers, turning governance into a continuous, automated process that builds trust for AI.
Stephen Catanzano • Oct. 15, 2025 -
Brand Experience Team/TechTarget
Data intelligence isn’t just a buzzword
Data intelligence is more than a trend. It represents the future of how organizations will operate by connecting structured and unstructured data for smarter decisions.
Stephen Catanzano • Sept. 30, 2025 -
Brand Experience Team/TechTarget
Cisco and Splunk are teaching AI to anticipate system failures
Cisco and Splunk use machine data to train a new time-series foundation model that surfaces hidden issues and creates a durable competitive edge.
Torsten Volk • Sept. 22, 2025 -
Brand Experience Team/TechTarget
The race to build the ultimate data platform
Unified data platforms are driven by AI demands and efficiency goals to replace fragmented tools and enhance governance across enterprises.
Stephen Catanzano • Sept. 10, 2025 -
Brand Experience Team/TechTarget
How AI-powered governance enables scalable AI deployment
AI-powered governance tools help organizations move AI from trials to production by automating compliance, mitigating risks and safeguarding brand reputation.
Stephen Catanzano • Aug. 20, 2025 -
Brand Experience Team/TechTarget
Is Apache Iceberg worth a full migration?
Apache Iceberg delivers modern data lake features, but adoption depends on existing architecture, team resources and tolerance for migration complexity.
Stephen Catanzano • Aug. 11, 2025 -
Brand Experience Team/TechTarget
How data for AI is changing the modern data platform
Data platforms must evolve to meet AI requirements, with a greater focus on real-time integration, unified governance, infrastructure flexibility and data quality.
Stephen Catanzano • July 15, 2025 -
Brand Experience Team/TechTarget
Enterprise data platforms adapt for GenAI and agentic AI
Generative and agentic AI are redefining enterprise data strategy as platforms evolve to support new demands for quality, access and governance.
Stephen Catanzano • July 11, 2025 -
Brand Experience Team/TechTarget
Why Apache Iceberg is essential for modern data lakehouses
Organizations adopt Apache Iceberg to build open data lakehouses that support high-performance analytics, multi-cloud strategies and warehouse-grade reliability.
Stephen Catanzano • June 24, 2025 -
Brand Experience Team/TechTarget
Why data platforms matter for AI agents and MCP success
AI agents and Model Context Protocol systems depend on fast, scalable access to diverse data. Modern data platforms deliver that access across fragmented enterprise environments.
Stephen Catanzano • June 6, 2025 -
Brand Experience Team/TechTarget
Hybrid data management strategy for enterprise AI success
Hybrid data management gives organizations the access, control and agility needed to support reliable and scalable enterprise AI across various environments.
Stephen Catanzano • May 12, 2025 -
Brand Experience Team/TechTarget
Unified databases: A powerhouse behind generative AI success
Unified databases support generative AI (GenAI) by integrating all data types into a single platform, streamlining infrastructure and improving scalability, speed and trust.
Stephen Catanzano • April 24, 2025 -
Brand Experience Team/TechTarget
The importance of data products
Treating data as a product enables organizations to turn raw information into actionable insights through intentional design, cultural alignment and AI-ready architecture.
Stephen Catanzano • March 27, 2025 -
Brand Experience Team/TechTarget
AI’s appetite for data is changing data requirements
AI relies on high-quality real-time data. Companies that fail to modernize their data strategies risk falling behind, while those that adapt unlock AI's competitive advantage.
Stephen Catanzano • Feb. 27, 2025 -
Brand Experience Team/TechTarget
Turning data into a strategic advantage
To transform data from a burden into an advantage, improve data management strategies, break down data silos, invest in analytics capabilities and build a data-driven culture.
Stephen Catanzano • Feb. 10, 2025 -
Brand Experience Team/TechTarget
Human oversight enables automated data governance
Automating data governance makes tedious, time-consuming tasks more efficient. The human element remains critical to keeping automated systems in compliance with regulations.
Donald Farmer • Dec. 27, 2024 -
Brand Experience Team/TechTarget
Data management 2025 predictions: Bringing generative AI to enterprise data
Organizations pursuing generative AI tools in 2025 will focus on making sure their data is AI-ready. The tools must work internally before consumers might see options next year.
Stephen Catanzano • Dec. 26, 2024
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