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AI and Data Priorities for 2026
A strategic roadmap highlighting the most critical AI and data focus areas for 2026
Powering the Next Frontier of Academic Research at The Texas A&M University System
Discover how The Texas A&M University System partnered with WWT to build VISION, one of the largest supercomputing environments in higher education that's powering a new wave of discovery, collaboration and high-performance experimentation.
A Guide for CTOs to Get Started with Enterprise AI
This report gives CTOs a decision-making framework to build AI programs that are sequenced around business outcomes, governed before they scale and staffed for production.
How UAE-Based Core42 is Rethinking AI Infrastructure From the Ground Up
How do you build an AI environment the business can scale, security can defend, regulators can accept and teams can actually use? In this episode of the AI Proving Ground Podcast, Core42 CTO Raghu Chakravarthi and WWT EVP Kraig Ecker discuss why sovereignty extends beyond data residency, heterogeneous infrastructure is becoming non-negotiable and why agents will sharply increase the need for observability, security guardrails and scalable inference design.
How Jack in the Box is Building the Data Foundation for AI
What does it really take to make AI useful in the enterprise? In this episode of the AI Proving Ground Podcast, Jack in the Box VP of Data and Analytics Paul Bruffett and WWT Managing Director of AI and Data Analytics Daniel Morrisroe detail how to turn fragmented data, legacy systems and disconnected workflows into an operational foundation the business can actually use. From modular data products and self-service analytics to forecasting, personalization and the road to more autonomous systems, this conversation offers practical lessons for leaders trying to move from modernization to measurable AI outcomes.
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Closing The Execution Gap For Store Modernization
Retail modernization often fails due to execution gaps, not strategy flaws. Overcoming technology debt, execution variability and AI expectations requires a holistic approach. By focusing on end-to-end lifecycle management, retailers can transform technology investments into growth drivers, ensuring seamless operations and enhanced customer experiences. Start small, assess and evolve strategically.
Partner Overview | Satori Named Leader in GigaOm's Data Access Governance Radar Report
Why governing data usage has become a security imperative.
A Guide for CTOs to Get Started with Enterprise AI
This report gives CTOs a decision-making framework to build AI programs that are sequenced around business outcomes, governed before they scale and staffed for production.
How Jack in the Box is Building the Data Foundation for AI
What does it really take to make AI useful in the enterprise? In this episode of the AI Proving Ground Podcast, Jack in the Box VP of Data and Analytics Paul Bruffett and WWT Managing Director of AI and Data Analytics Daniel Morrisroe detail how to turn fragmented data, legacy systems and disconnected workflows into an operational foundation the business can actually use. From modular data products and self-service analytics to forecasting, personalization and the road to more autonomous systems, this conversation offers practical lessons for leaders trying to move from modernization to measurable AI outcomes.
How UAE-Based Core42 is Rethinking AI Infrastructure From the Ground Up
How do you build an AI environment the business can scale, security can defend, regulators can accept and teams can actually use? In this episode of the AI Proving Ground Podcast, Core42 CTO Raghu Chakravarthi and WWT EVP Kraig Ecker discuss why sovereignty extends beyond data residency, heterogeneous infrastructure is becoming non-negotiable and why agents will sharply increase the need for observability, security guardrails and scalable inference design.
Garbage In, Garbage Amplified: The AI Feedback Loop Most Companies Miss
Most teams are using AI to summarize and connect internal data. Fewer realize they may be creating a feedback loop in the process. When AI-generated content gets stored alongside source material, it can quietly shift what is treated as truth. This blog article breaks down how it happens, why it matters, and one simple structural change that can prevent it.
Before You Scale AI, Fix Your Data Foundation
The new AI bottleneck is whether your enterprise data can be trusted, governed, and used at speed. Recorded live at NVIDIA GTC, this episode of the AI Proving Ground Podcast features Tore Sundelin of NetApp and Derek Elbert of World Wide Technology discussing why unstructured data, policy-based governance, data classification and unified AI data pipelines are becoming critical as enterprises push toward agentic AI and production-scale inference.
Partner POV | 4 trends that will reshape the autonomous workspace in 2026
AI is reshaping work, demanding efficiency and security. By 2026, IT consolidation will prioritize security, AI will enhance employee experiences, data sovereignty will gain importance, and IT leadership will balance innovation with trust.
Why Storage, Security and Data Readiness Now Decide AI Success
AI success now depends on whether your enterprise foundation is actually ready. Recorded live at NVIDIA GTC, this episode of the AI Proving Ground Podcast features WWT AI leader Mike Trojecki and Everpure VP of AI and Analytics Kaycee Lai discussing why business outcomes, secure data access, low-latency infrastructure, governance and storage architecture are becoming the real differentiators as organizations try to operationalize AI at scale.
Every Manufacturer Wants to Be AI-first. Few Know Where to Start
For manufacturers serious about becoming AI-first, IT/OT convergence is the bridge that gets them there.
Compressing Idea to Outcome (I2O): WWT Co-Founder and CEO Jim Kavanaugh on Why AI Coding Assistants Could Reshape the Enterprise
AI-powered coding assistants are rapidly compressing the time it takes to build software and delivering a competitive advantage that can lead to transformational outcomes. But according to WWT Co-Founder and CEO Jim Kavanaugh, the bigger shift is organizational: companies must rethink leadership, data strategy and workforce skills to compete in an AI-native world. In this episode of the AI Proving Ground Podcast, Jim shares his vision for how coding assistants are emerging as one of the most practical and disruptive use cases in enterprise AI.
Pre-Visit Planning Tool Demo
Empowering clinicians with better data visibility while improving communication and experience for patients.
The Microsoft Fabric Journey
Most organizations have plenty of data. What they lack is confidence.
This learning path is designed to fix exactly that. We will help you understand Microsoft Fabric as a complete, end-to-end analytics platform. You will see what the technology actually changes, what stays the same, and how to adopt it in a way that genuinely improves how your business makes decisions. We are aiming for speed, trust, and scale—not just a shiny new set of tools.
You will learn how Fabric's integrated workloads and its OneLake foundation work together to eliminate endless handoffs and data duplication. We will also show you where governance fits into daily delivery, so it acts as a guardrail rather than a roadblock.
Powering the Next Frontier of Academic Research at The Texas A&M University System
Discover how The Texas A&M University System partnered with WWT to build VISION, one of the largest supercomputing environments in higher education that's powering a new wave of discovery, collaboration and high-performance experimentation.
Data as a Service for Utility Grid Modernization with the Advent of AMI 2.0
AMI 2.0 is modernizing the utility grid with real-time data and edge analytics, enabling utilities to reduce outages, optimize operations and improve customer experience through governed data-as-a-service architectures.
Data Strategy and Engineering for AI Readiness Workshop
Prepare to deliver business outcomes with a focused working session that aligns data strategy, architecture and engineering to business priorities, laying the foundation for AI readiness. We assess current maturity, map data and system landscapes, validate use cases and define a Center of Excellence approach. You'll leave with prioritized initiatives, governance and quality recommendations, and an actionable roadmap to scale value quickly.
Is the Data Warehouse Dead?
The traditional enterprise data warehouse is evolving rather than becoming obsolete, adapting its role alongside advancements in AI technologies such as large language models (LLMs) and retrieval-augmented generation (RAG). These AI capabilities enable direct analytical operations on diverse data types, challenging the need for all data to be centralized and conformed in a warehouse.
AI and Data Priorities for 2026
A strategic roadmap highlighting the most critical AI and data focus areas for 2026
Inside NVIDIA: The $5 Trillion Engine Redefining the Future of AI
AI is rewriting the rules of the global economy. Powered by leaps in accelerated computing, digital twins and autonomous systems, a new industrial era is emerging in real time. In this episode of the AI Proving Ground Podcast, NVIDIA leaders Jay Puri, Charlie Wuischpard and Craig Weinstein break down how the entire AI stack — from the silicon driving breakthroughs to the software shaping intelligent experiences — is redefining how we build, operate and compete.
This conversation gives leaders a clear view of what's coming next—and what it takes to align their organizations, scale AI innovation, and stay ahead in a race where velocity, architecture, and ambition now determine advantage.
Business Innovation Summit Series: Unfiltered Conversations About the Future of Enterprise AI
This special episode of the AI Proving Ground Podcast kicks off a weeklong series of daily releases from the WWT Business Innovation Summit — bringing you unfiltered conversations with the leaders shaping the next decade of AI, cybersecurity, cloud and enterprise strategy. Featuring insights from executives at Cisco, Google Cloud, Microsoft, NVIDIA, NightDragon, Morgan Stanley and more, this series offers urgent, real-time perspective on how AI is transforming the global economy, redefining risk, and rewriting the rules of competitive advantage.