"Recent years have seen the rise of network organizations � groups of "unbundled" companies collaborating across the value chain to deliver products and services to customers. By owning fewer assets and leveraging the resources of partner companies, network "orchestrators" such as Cisco, CNET, Schwab, and eBay require less capital, return higher revenues per employee, and spread the risks (and benefits) of a volatile market across the network."
Artificial intelligence (AI) has rapidly become the defining force in business technology development, but integrating AI into applications remains a formidable challenge. According to a recent Gartner survey, 77 percent of engineering leaders identify AI integration in apps as a major hurdle for their organizations. As demand for AI-powered solutions accelerates across every industry, understanding the tools, the barriers, and the opportunities is essential for business and technology leaders seeking to evolve. The Gartner survey highlights a key trend: while AI’s potential is widely recognized, the path to useful integration is anything but straightforward. IT leaders cite complexities in embedding AI models into existing software, managing data pipelines, ensuring security, and maintaining compliance as persistent obstacles. These challenges are compounded by a shortage of skilled AI engineers and the rapid evolution of AI technologies, which can outpace organizational readiness and...