Every business can benefit from incorporating Artificial Intelligence (AI), whether it’s enhancing a product, streamlining a process, or improving decision-making.
AI can be used to solve complex engineering design problems, in decision-making processes that rely on empirical data, in combinatorial optimization, and in scheduling and resource management.
The Feed-Forward Back-Propagation Neural Network (FFBPNN) method is the most versatile, mimicking the way our brains learn and processing information in layers of “neurons” that are connected in specific ways.
AI has the potential to unlock significant value across all industries, and is becoming more accessible to businesses of all sizes.
AI’s applications can seem daunting, however, it's more accessible than you might think, and doesn't require significant technical investments.
Training datasets are provided during the AI network creation process, and the network is trained how to process input and produce output.
Thousands of iterations create a neural network model that gradually improves ability to predict correct output, converging toward the desired solution.
AI concepts will continue to be explored in future articles, without delving too deeply into the mathematics, to enable ease of implementation for users.
Bhairav Thakkar, Founder at Softdof seeks to connect with other professionals wishing to discuss and exchange thoughts on AI and its applications.
Scheduling and resource management are the key areas for which AI can be applied, enabling effective optimization, reducing inefficiencies, and saving time.