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TrueGrit Perspectives

Complex ideas often get lost in overly complicated messaging. A veteran B2B communicator and journalist, I fix that. 

Organizations hire me for content strategies and writing that present evolving products and innovations in clear, compelling, research-driven ways. With so much AI-generated content turning points of view into meaningless mush, clarity and credibility matter more than ever.

Through deep listening, sharp analysis, and decades of experience, I help leaders explain what they do — and why it matters — in plain English that influencers will trust, buyers will respond to, and markets will reward. I also design AI-assisted content workflows, giving marketing teams the engine to produce high-quality, on-brand copy at scale.

Clear stories. Strong positioning. Real business impact.


The Forecast by Nutanix •

Public Sector's AI Ambitions Outrun Its Infrastructure | The Forecast by Nutanix

At the Riverside County Children and Families Commission in Southern California, about a dozen caseworkers have spent recent months testing an AI agent that fills out benefit applications for them. If Riverside County is anything like most other public sector organizations, it will find a broad range of hurdles standing in the way of wider AI adoption. While most public sector organizations are racing down the AI superhighway, 73% admit their on-premises infrastructure is not fully ready to support modern AI workloads, according to the 2026 Public Sector Enterprise Cloud Index (ECI) report, which is a part of the broader 2026 ECI report from Nutanix.
The Forecast by Nutanix •

Dual Native Runs Containers in Virtual Machines or Bare Metal

For over 20 years, virtual machines (VMs) have enabled IT teams to standardize and scale their systems. In the past decade, containers have become the de facto way to build and run applications. Today, many find themselves at a crossroads: build a whole new team to manage their growing number of cloud native applications while their existing team manages efficient VMs or do they find a way to unify these two worlds?
The Forecast by Nutanix •

Agentlakes and Managing AI Agent Sprawl

AI agents have had relatively easy jobs so far. They’ve been summarizing content, drafting basic emails and reports, providing web-based insights, and taking lightweight actions—all by themselves.
But in 2026, many industry observers believe that as these lone, autonomous agents spread across the enterprise, they’ll begin collaborating and acting on larger projects, from orchestrating targeted, cross-channel marketing campaigns to identifying high-intent prospects, managing early outreach, and...
The Forecast by Nutanix •

IT Teams Design for Geopatriation and Data Sovereignty

Planetek’s satellites sweep across continents, collecting breathtaking images. But even from space, the Italian company’s cameras can’t detect the political borders that now dictate where and how European data must be stored, managed, and secured.

Those unseen lines are presenting new challenges for IT teams, who must manage cloud services they rely on and regional regulations, some of which are enforced by laws like the new EU AI Act and the General Data Protection Regulation (GDPR). Companies...
The Forecast by Nutanix •

HYCU CEO Simon Taylor Brings Order to Data Protection Chaos

Companies used to be able to locate and protect their data relatively easily. It’s not so easy anymore. Information is now scattered across a sea of cloud services, on-premises data centers and SaaS applications, making it difficult for organizations and data-hungry AI bots or agents to get the information they need.

Simon Taylor saw the need for a better way, so more than a decade ago dedicated himself to solving the modern data dilemma with HYCU (pronounced “Haiku”), a hybrid multicloud data...
The Forecast by Nutanix •

Get Ready for Continuous IT Infrastructure and Data Audits

As governments increasingly push for transparency in AI systems, companies face a new and uncomfortable question: Can they prove where their model data comes from, how it is used, or what that data is helping to create?
That’s because the traditional data-tracking tools that served them fairly well before ChatGPT burst onto the stage in late 2022 can’t handle the massive volumes of data being consumed every day by today’s insatiable language models.
The result: Without better visibility and th...
The Forecast by Nutanix •

Can IT Infrastructures Meet AI Data Demands

From the call center to the factory floor, AI is billed as a lever for accelerating services, sparking innovation, and fine-tuning operations. But when enterprises put those promises to the test, they often struggle with latency, higher costs, and subpar results.
Contrary to common perception, the choke points aren’t just immature language models. They lie in how organizations collect, aggregate, store, and feed data to their AI applications, according to Brad Shimmin, vice president and lead f...
Salesforce •

When AI 'Lies,' Trust and Guardrails Are Even More Critical

AI large language models (LLMs) hallucinate when they generate false but ‌plausible-sounding responses based on flawed or incomplete data. It’s unintentional. More fiction than fraud.

But when AI knows the truth and chooses not to tell you, that’s different. It’s engaging in deception. Not because the system is sinister, like something out of some science fiction show, but because it’s been trained to relentlessly chase outcomes‌, even if it means bending the truth a little.
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