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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…
Salvatore Salamone
How AI Enhances Predictive Analytics
In a landscape defined by rapid digital transformation, AI-powered predictive analytics is becoming a strategic capability…
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.
Breaking the Barriers to AI Maturity
Achieving transformational AI maturity means tackling the infrastructure barriers that stand in the way of scale, speed, and security.
Report: Industrial AI Poised for Rapid Growth
Most industrial organizations now have CEO-driven industrial AI strategies, reflecting a shift from experimentation to enterprise-wide implementation.
Scaling Agentic AI: The Emerging Role of the Model Context Protocol
As AI agents in industrial operations become more capable, MCP could well become the fabric that ties everything together.
Real-time Analytics News for the Week Ending October 11
In this week's real-time analytics news: Google Cloud launched Gemini Enterprise, an agentic platform designed to bring the full power of Google’s AI to every user.
Leveraging Unstructured Metadata to Lower Compliance Risks
The first step in mining unstructured metadata for compliance needs is to get visibility into all metadata across file and object storage.
Traditional Business Intelligence Isn’t Dying. It’s Dead
For the average business user, the death of traditional BI is not a tragedy. It’s a liberation that comes from the birth of something a lot less frustrating and a lot more powerful: actual conversations with your data.
Data Fluency: The Foundation for AI in Insurance
The future of insurance will be shaped by those who treat data as a living, strategic asset and not simply a byproduct of transactions.
Why Real-Time Data is Imperative for Intelligent Experiences
Intelligent experiences depend on predicting what help or information a user will want before they ask and then act on that prediction.
Data Gravity and Its Impact on Cloud Strategy
Data gravity is inevitable. Decentralized storage, AI-driven orchestration, and provider-agnostic data fabrics can help make mobility a real option again.
Real-time Analytics News for the Week Ending October 4
In this week's real-time analytics news: Snowflake announced a managed Model Context Protocol (MCP) Server (now in public preview), enabling organizations to easily and securely use their own proprietary data and third-party data in Snowflake.
When Cybercriminals Weaponize Artificial Intelligence at Scale
Incremental improvements to traditional security tools won’t matter against AI-augmented adversaries. Organizations need AI-native security operations that match the scale, speed, and intelligence of modern AI attacks.
Vibe Coding: How AI-First Workflows Are Redefining Customer Data Engineering
In customer data engineering, speed and quality have historically been at odds. Vibe coding changes that equation. By enabling engineers to work at the level of intent, it compresses time-to-value, reduces toil, and opens space for more strategic contributions.
Getting AI off the Ground: How IT Leaders Can Turn Enterprise Hesitation into Action
Gaining leadership buy-in for AI isn’t a box to be checked. It’s a relationship to be nurtured. As with any transformative technology, the key is to start small, deliver value early, and scale with intention.
Why Voice AI Is the New Growth Engine for Enterprises
Voice AI isn’t a novelty. It’s a strategic advantage. It’s how companies are reducing costs, improving customer experience, and turning everyday conversations into powerful business intelligence.
How Hyperscale Innovations Have Changed the Cloud Migration Calculus
Hyperscale platforms make it easy to access services that would be expensive and complicated to build from scratch. Such access is critical in meeting the demands of today's fast-paced business world.
Real-time Analytics News for the Week Ending September 27
In this week's real-time analytics news: Google Cloud announced new AI-native capabilities to help data scientists and developers build intelligent, autonomous agents.
Why DataOps Is Critical to Successfully Scaling AI
AI projects often fail to scale due to poor data quality and siloed pipelines. Learn how DataOps provides the governance, automation, and real-time capabilities needed to deliver reliable AI at enterprise scale.