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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.
Salesforce •

The Key to Tapping a $6T Digital Labor Opportunity: A Deeply Unified Platform for Apps, Data, and AI Agents

Every so often, technology fundamentally shifts ‌— ‌and with it, the way everyone in business and IT works and innovates. This is one of those moments with agentic AI.

Consider this: It took mobile phones 16 years to reach 100 million users. The internet caught on in just seven years. ChatGPT sped past both milestones and attracted 100 million users in a mind-boggling two months. And now, the agentic era has burst onto the scene, representing what experts say will become a $6 trillion digital l...
Salesforce •

AI Agents Will Become the New UI, and Apps Take a Backseat

For decades, screens, keyboards, and structured applications have shaped our relationship with technology. People learned how to interact with computers and mobile devices through software-defined user interfaces, shaping how they lived, worked, and played.

But that’s about to change.

We’re at the beginning of a major transformation in which autonomous AI agents will become the new user interface, improving experiences for business and consumer users alike. Indeed, users will soon interact wit...
Salesforce •

The World's Largest Agentic AI Deployment? Salesforce Is Running It on Itself

Company’s ‘customer zero’ approach with innovations like Agentforce enabling it to use its own technology and put it through its paces for widespread adoption

Misty Fierro knows the grind of searching for answers.

As the consulting practice lead at Yudrio, an IT solutions provider, she’s built a career helping government clients make the most of Salesforce technology. But for years, across several Salesforce-related jobs, she sometimes struggled to get complete or relevant support information...
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