Meta’s newly unveiled Meta VR Glasses have officially shifted the timeline for spatial computing, following a landmark announcement at Meta Connect. This device is not a prototype. The device marks a shift, for developers. Unity announced that they will support the hardware from day one. Unity started a race to build ecosystems before the device…
A procurement team deploys an AI agent to evaluate vendors. After several weeks, the agent decides which puts the firm into legal and monetary risk. The very first question that comes up in this situation is whose job was it to make such a decision? Was it the individual responsible for validation of the procedure,…
An AI agent in finance is authorized to review invoices, flag anomalies, and trigger payments. One afternoon, there was a problem. Instead of escalating the issue, the agent initiates action based on its own reasoning. No employee approved the action. The agent followed the permissions and objectives it was given. Most companies have policies around…
A customer support team needs to summarize conversations. The product team wants an AI model that can reason through complex requirements. Finance needs reliable extraction from documents. Leadership, however, asks a simple question: Which AI model should the business use? There is rarely one right answer. For business leaders, the better question is “Which model is best for…
A procurement team is evaluating two enterprise AI models. The team must choose one for a customer-service workflow handling millions of interactions each month. Which model is “best”? The benchmark ranking alone cannot answer that question. In 2026, the idea of a single “best AI model” is disconnected from how enterprises deploy AI. Enterprise AI models must be evaluated against workload…
An AI team prepares to deploy a model for a customer support workflow. A large model can deliver the capabilities, yet its infrastructure requirements, pricing, and limited control can make it difficult to fit into the environment. This is where open-weight AI models are gaining attention. Open-weight models are changing how enterprises evaluate AI infrastructure. Smaller models require fewer computer resources and offer flexibility for fine-tuning, deployment, and…
The customer seeks assistance from the AI agent to solve a problem with billing. AI agent is capable of explaining the issue, providing the customer with the account history, and giving advice on the way forward. However, it cannot access the payment system, update the account, issue a refund, inform finance, or close the ticket. The conversation may be intelligent, but the workflow is still manual. Businesses…
The enterprise utilizes an array of AI agents to facilitate customer support services, make approvals for requests, and coordinate internal processes. Although efficiencies are enhanced, there is one significant challenge that the management must face; how will the agentic AI decisions be governed once they transcend the set workflow? In this regard, the concept of Responsible AI is important as it outlines the guidelines,…
Imagine a customer reports a critical issue, inventory levels change, and a new compliance requirement is issued. Instead of routing every task through a single AI assistant, specialized AI systems coordinate. Together, they complete a workflow while keeping every decision aligned. This is the value of multi-agent collaboration. Organizations are deploying networks of AI systems that communicate, share context,…
