A business firm gets ready to venture into a new market; there is a need to monitor industry trends. The firm’s research team takes days gathering information such as competitor website analysis, reports and products launches among others before the information gets to decisionmakers. Using market intelligence automation tools, companies can shift from research reports…
The agent is provided with access to the customer database to automate the process. The agent receives a tampered command, accesses information outside of the agent’s scope, and performs actions without the security department noticing anything. The problem is an autonomous agent using legitimate access that organization never intended. Since firms have started using AI…
In the issue of large-scale deployment of AI, the quality of the model has ceased to be the only factor. The cost of inference, GPU effectiveness, latency, and stability have equal importance. As AI are being used to perform sophisticated operations, the infrastructure has to support lengthy context windows, recurrent calls, and random spikes. …
The sales ops team provides an AI agent with access to their CRM, and it helps in qualifying the lead, updating the records, and scheduling follow-ups. Now, AI can have access to customer records and share information with another AI tool from the marketing team. No single change looks serious enough to raise an alarm….
HighLevel has announced that it now connects to Muse, Meta’s AI agent, giving businesses a way to use Muse across the workflows, conversations, calendars and customer information they already manage in HighLevel. Businesses can use Muse to manage leads, coordinate and book appointments, update customer records, and prepare for customer conversations. Rather than operating…
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…
