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Salvatore Salamone
NaaS for AI Takes Center Stage at GNE 2025
Training AI models and running them is often a distributed endeavor. Various compute and data resources…
Kevin Cochrane
Breaking the Barriers to AI Maturity
AI-mature organizations that have successfully woven artificial intelligence (AI) into their daily operations are already seeing…
Caleb Benningfield
Vibe Coding: How AI-First Workflows Are Redefining Customer Data Engineering
Even after years of investment in cloud data infrastructure, data engineers are stuck wrestling with brittle…
Jon Alexander
AI Isn’t Static. Why Are We Still Feeding It Yesterday’s Data?
The AI tools dominating today’s headlines are dazzling but misunderstood. We've confused model training for genuine…
When AI Writes Code: How the Role of Developers is Changing
Modern AI coding tools now offer full-project context awareness, understanding of relationships across files, and enable large-scale refactoring.
The Hidden Costs of Backhauling Continuous Data to the Cloud
Backhauling data to centralized facilities no longer works in industries that have high volumes of continuous streaming data. That’s were adaptive edge intelligence can help.
Adaptive Edge Intelligence: Real-Time Insights Where Data Is Born
IoT data is the fuel that powers adaptive edge intelligence. By analyzing IoT data directly at the edge, organizations gain the ability to interpret context the moment it occurs.
Real-time Analytics News for the Week Ending November 15
In this week's real-time analytics news: MLCommons announced the results for the MLPerf Training v5.1 benchmark suite, highlighting the significant performance improvements from new generations of systems.
Closing the Latency Gap: Real-Time Decision Making at the Point of Data Creation
The shift toward real-time decision-making at the edge is an evolution in how businesses operate. Closing the latency gap means smarter, safer, and more resilient operations.
NaaS for AI Takes Center Stage at GNE 2025
The network demands of today's distributed AI workloads was apparent throughout this week's annual Global NaaS Event (GNE).
2025 Cloud Database Market: The Year in Review
The cloud database market transitioned in 2025. It is no longer just “databases in the cloud.” It has become the data and AI control plane for the enterprise.
Hybrid RAG: The Key to Successfully Converging Structure and Semantics in AI
Hybrid RAG is a unified framework that intelligently combines vector-based and graph-based retrieval within a single, orchestrated workflow.
When AI Starts Seeing and Hearing, IT Must Start Rethinking
In 2026, the question for IT isn't whether to adopt multimodal AI. It's how fast they can do so without turning into chaos.
Agentic AI and the Next Leap in Industrial Operations
Agentic AI represents the fusion of data intelligence and operational autonomy, bringing the long-promised vision of smart, adaptive, and resilient industrial systems into reality.
Building an Agentic AI Strategy That Delivers Real Business Value
Agentic AI can redefine industrial operations, but that is only if it is deployed with discipline and can scale across the organization.
Real-time Analytics News for the Week Ending November 8
In this week's real-time analytics news: Snowflake made a number of announcements this week covering a range of application areas.
The Joy of Coding Isn’t Dead, It’s Being Redefined
The future of coding is not less human. It is more human, amplified by machines, sustained by creativity, and made meaningful by purpose.
Why Modern AI Needs NaaS
Enterprises and the providers delivering services to support AI efforts essentially need AI connectivity as a service. That’s where network-as-a-service (NaaS) comes in.
Data Storytelling as a Strategic Competency in Enterprise Decision-Making
Analysts who embrace storytelling will not only elevate their craft but will also become indispensable partners in shaping the future of enterprise decision-making.
Private AI Takes Center Stage: How Ultra Ethernet is Redefining Interconnected Infrastructures at Scale
As equipment vendors and interconnection platforms integrate Ultra Ethernet capabilities, enterprises will gain new freedom to design their AI environments around proximity, compliance, and efficiency rather than geography.
Enabling High-Value Use Cases for Industrial Agentic AI Automation
AI agents represent an opportunity to go beyond isolated analytics projects and move toward self-improving, autonomous workflows that directly drive operational performance.
The Blueprint for Scaling Agentic AI in Complex Industrial Organizations
Scaling AI in industry requires the right technology, a practical understanding of industrial operations, and open interoperability with an organization’s existing data infrastructure.
Modern Compliance Requires Modern Tools
Modern tools, including AI, machine learning, and real-time monitoring, allow organizations to flag anomalies, adapt as they grow, and enforce policies dynamically.
Real-time Analytics News for the Week Ending November 1
In this week's real-time analytics news: This week’s Confluent Current 2025 conference focused on bringing real-time data and AI together.
Current 2025: Real-Time Data and AI Come Together
This year’s Current conference highlighted the need to bring real-time data and AI together. The keynote and many sessions dug into this topic for the streaming data community.
AI Bias Isn’t Just a Model Problem – It’s a Data Supply Chain Problem
If the data reflects inequality or bias, the AI’s outputs will mirror it, potentially resulting in an individual being denied a job or loan, or, even more concerning, the correct medical treatment.
AI and Efficiency Pressures? New Tech Solutions for Modern Data Centers
As AI continues to reshape data centers, market competition will intensify, driving up energy and resource costs. The demand for quieter, more energy-efficient, and sustainable facilities will only grow.
Is Your Hybrid Solution Falling Short? Here’s How to Bridge the Gap
By integrating GenAI, automation, and now agentic AI capabilities into hybrid IT strategies, organizations can eliminate key adoption barriers, unlock the full potential of their data, and future-proof their infrastructure.
Why Retailers Need Real-Time Data Not to Get Spooked by Halloween Sales
Retailers must integrate new data sources, such as real-time social sentiment, search trends, and influencer engagement metrics, into forecasting models that can adapt to the rapid, unpredictable nature of cultural trends.