Tag: Artificial Intelligence
-
Your AI Does Not Understand What “Available” Means
Why large companies need an ontology before deploying AI agents Large companies are different from medium-sized and small companies, and not simply because of their size. In a small company, senior executives are deeply involved in operations. They know the customers, approve exceptions, solve delivery problems and often understand why each process works the way…
-
The first agent you should hire may be the one that controls your advertising budget
Most companies still treat advertising as a marketing activity. In economic terms, however, advertising is a continuous capital-allocation process. Every decision to invest in Google, Meta, LinkedIn, TikTok, YouTube, WhatsApp, marketplaces, influencers, websites, or digital publications assigns capital to a particular audience, message, product, geography, moment, and expected return. Despite the financial importance of these…
-

Human–AI Collaboration: the critical shift companies need to compete in the AI era
The promise of artificial intelligence has never been more visible. Companies are investing heavily in new tools and experimenting with advanced models, yet the gap between potential and real outcomes keeps widening. According to McKinsey’s The State of AI 2025 report, only 1 percent of organizations consider themselves mature in their use of AI. The…
-
ChatGPT applications: The biggest mistake companies make when underestimating the power of LLMs
AI and ChatGPT applications are redefining the way businesses operate. However, most organizations still underestimate the potential of Large Language Models (LLMs) and limit their use to basic task automation. Recent research shows that this narrow view has had a negative financial impact on businesses. The ‘Microsoft New Future of Work Report 2024’ highlights that…
-

Scaling AI for Large Enterprises: Overcoming Integration Challenges
AI for Large Enterprises is already a reality in the business world, transforming how organizations make decisions, streamline operations, and gain valuable insights from their data. However, when it comes to scaling AI from pilot projects to full organizational deployment, AI for Large Enterprises often faces unique challenges. These include integrating with legacy systems, dealing…
