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Data Gravity and Its Impact on Cloud Strategy

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 …

Turning Unstructured Data into a Manageable Enterprise Asset

Turning Unstructured Data into a Manageable Enterprise Asset

For data analysts, engineers, and scientists, automation can support AI and machine learning initiatives by giving them increased control, reduced …

Why Intelligence at the Edge is No Longer Optional

Why Intelligence at the Edge is No Longer Optional

By processing data locally, organizations can filter and act on the most important insights immediately, while sending only relevant or aggregated …

Can Vibe Coding Survive the New Era of Security

Can Vibe Coding Survive the New Era of Security

Vibe coding, which is the process of generating or modifying code through natural language prompts instead of writing every line manually, is gaining …

From Our Experts

Fast-track M&A Synergies Through AI-Grade Data Fitness

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

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

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

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

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

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

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

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

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

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 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

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

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

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

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

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

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

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

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.

A Framework for Taking AI Pilots from Experiment to Enterprise

A Framework for Taking AI Pilots from Experiment to Enterprise

This framework provides phased validation, continuous integration, and comprehensive risk management, empowering firms to transition from pilot to enterprise use with resilience and assurance.

Bad Data = Missed Revenue: Why GTM Success Starts with Clean Data and Execution-First Intelligence

Bad Data = Missed Revenue: Why GTM Success Starts with Clean Data and Execution-First Intelligence

Companies that invest in structuring their first-party data today are laying the groundwork for AI systems that don't just guide work; they do it.

AI Isn’t Static. Why Are We Still Feeding It Yesterday’s Data?

AI Isn’t Static. Why Are We Still Feeding It Yesterday’s Data?

Developers need large context windows for breadth, automatic caching for efficiency, and easy-to-use embedding pipelines for retrieval.

AI Prompts are Real-Time Energy Pits

AI Prompts are Real-Time Energy Pits

To address concerns about energy consumption, AI system providers are using research innovations and software and hardware improvements to increase energy efficiency.

Real-time Analytics News for the Week Ending September 20

Real-time Analytics News for the Week Ending September 20

In this week's real-time analytics news: NVIDIA and Intel Corporation announced a collaboration to jointly develop custom data center and PC products to accelerate applications and workloads.

Rethinking DevOps: What’s Next for Software Teams After a Decade of Stagnation

Rethinking DevOps: What’s Next for Software Teams After a Decade of Stagnation

It’s time to redefine DevOps, not as a set of tools or rigid methodologies, but as a human-centered, technology-enabled movement towards shared accountability and better software delivery.