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Salvatore Salamone
Why Retailers Need Real-Time Data Not to Get Spooked by Halloween Sales
Forecasting Halloween costume demand has always been an unusually tricky (and some may say frightening) challenge…
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…
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.
The Quality Gap: Two-Thirds of Dev Teams Push Code Without Fully Testing
By rethinking how quality is owned, measured, and enabled, companies can build systems that support both speed and resilience in software delivery.
Real-time Analytics News for the Week Ending October 25
In this week's real-time analytics news: Dell Integrates NVIDIA technology to enhance its AI Data Platform capabilities.
The Dawn of the Ticketless Enterprise: Revolutionizing IT Management
The concept of the ticketless enterprise is a radical reinvention of IT service management. It's a vision for a world where IT issues are anticipated and prevented before they occur, where systems heal and optimize themselves, and where human IT specialists have the time to focus on innovation and strategic projects.
How Real-Time Data Is Transforming Day-to-Day Retail Decisions
Real-time data may be one of the most underutilized tools in the retail industry. With today’s sophisticated AI-powered POS and inventory management systems, independent retail shops can compete with multinational corporations, function at the highest level, and even grow their market share.
The Other Bottleneck: Why Legacy Storage is the Silent Threat to Innovation
For innovation to take place, organizations need a storage infrastructure that can adapt to new technologies such as higher-density storage media or more advanced fault-tolerance requirements.
Think Your Data Is AI Ready? What Most Organizations Miss About AI Readiness
Organizations that focus only on model development without considering their data’s AI readiness will continue to struggle.
Adaptive Edge Intelligence Meets 6G
For adaptive edge intelligence, 6G is not just an infrastructure upgrade, it provides an opportunity to reinvent how systems learn, decide, and collaborate.
Beyond Latency: The Next Phase of Adaptive Edge Intelligence
The industry is now entering a phase where adaptive edge intelligence is less about the speed of a decision and more about autonomy.
Real-time Analytics News for the Week Ending October 18
In this week's real-time analytics news: Oracle made multiple announcements at this week’s Oracle AI World conference.
Building the Next-Generation Data Stack: Streaming, Edge, and Adaptive Intelligence
The enterprise data stack is at an inflection point. Storing and streaming data is no longer enough. Businesses need a combination of streaming technologies, high-performance in-memory databases, and adaptive intelligence to support real-time enterprise operations.
Why Adaptive Edge Intelligence Is the Future of Data-Driven Enterprises
While the vision for adaptive edge intelligence is clear, the execution requires technology that can combine real-time data processing, low-latency decisioning, and scalability.
Inside the New Wave of AI Adoption in Manufacturing
Manufacturers are entering a phase where AI is less about exploration and more about embedding it into the core fabric of operations.
Fast-track M&A Synergies Through AI-Grade Data Fitness
M&A is often viewed as a time for companies to change, but that energy should be extended to their data environments, as well. It's an opportunity to commit to a set of data-quality, governance, and management practices that will lay the foundations for the modern, successful AI-driven business.
How AI Agents Are Rewiring Healthcare Communication
Guardrails like pre-approved scripts and hard handoffs keep AI agents in check, ensuring outputs stay predictable instead of wandering into hallucinations.