As AI becomes more capable, businesses may find themselves asking a familiar question: How much of a process should they change, and how much should they keep under direct human control? That question becomes especially important when AI connects to an enterprise resource planning (ERP) system. A response about a purchase order may seem simple, but changing that order could affect a supplier commitment, production schedule, and financial records. Over the next couple weeks, we will look at when [...]

As technology continues to advance, many organizations are searching for the best place to begin with AI. For companies in manufacturing, life sciences, agriculture, and other operationally complex industries, the answer may already be sitting inside the business. Years of information related to finance, procurement, production, inventory, supply chain, human resources, and customer activity are often stored within SAP or another enterprise resource planning system. That information provides a [...]

A large medical center is considering AI integration for their current processes. They may see potential applications across clinical care, research, administration, health information management, and IT. However, with so many departments, technologies, and possible use cases to consider, leadership may struggle to determine where to begin and how to prepare employees with different levels of technical experience. As organizations move into planning AI architecture, the number of available tech [...]

As artificial intelligence continues to advance, organizations may feel pressure to implement enterprise AI as quickly as possible. However, leadership should first consider the direction they want enterprise AI to take. For instance, the organization should determine how the technology will find reliable information, connect with existing systems, follow approved processes, and protect sensitive data. Within medium to large organizations, these decisions become especially important. For instanc [...]

As AI adoption accelerates, many organizations may feel pressure to invest in the newest models, the fastest GPUs, or the largest available cloud environments. However, purchasing powerful technology does not necessarily produce a strong business result. For manufacturers, life sciences companies, and other complex enterprises, AI infrastructure should be planned as a flexible portfolio rather than a one-time hardware purchase. To get started, the organization must consider the complete environ [...]

Compared to an Internet-accessible service such as ChatGPT, local LLMs can appear much more secure. Disconnected from the general public, this technology serves as a digital moat for confidential information and processes.However, most businesses looking into a local LLM are not proposing to train a foundation model from scratch. That approach would require substantial data, specialized talent, computing power, time, and money.Instead, the organization selects an existing open-weight model, ho [...]