How can you prepare for AI?

The hyperdynamic COVID-19 has caused tumultuous events to unfold, cornering businesses and operations into unfamiliar grounds. For a long time, the industries involved with the supply chain and logistics have adhered to traditional methods, which has proved to be detrimental as it can no longer sufficiently respond to the downturn of economic health. The operational flow will continue to suffer a dear amount if authorities fail to emerge from complacency and accept some technological innovations like AI. Therefore, the implementation of a consistent and ubiquitous framework is necessary to deliver best-practice measures to protect the livelihood, wellbeing, and safety to both individuals and businesses.

Achieving a consistent industry-wide solution requires diligence and patience. Technology is continually evolving, and although it may impose significant changes, it is a sustainable approach offering long-term benefits that provide reliability and stability in unprecedented events. However, to ensure the best performance derives from an AI application:

1. TOS must operate on a true real-time architecture that enables both shared memory and in-memory processing.

2. TOS can move operations in the cloud to achieve maximum flexibility, as well as implement optimization and automation tools to strengthen AI capabilities.

3. TOS must operate in a single server infrastructure for consistent and instantaneous data flow.

Although tactical planning consists of smaller short-term steps to reduce immediate impacts, you cannot remedy a problem of global magnitude with a temporary solution. Therefore, it is crucial to practice precaution and evaluate product specifications against your criteria before implementation. More substantial due care must be employed to keep an open mind and leverage optimal levels of such an incredible innovation. Technology advancements no longer connote a downturn of investments or revenues, but rather, has risen as a catalytic force that fights economic contractions.