AI SERVICES

AI Services – Database Management Services

Ferguson Control Systems, LLC can provide backend support for the data pipeline of Artificial Intelligence (AI) infrastructures. Data and its management are essential to AI and its applications. Data holds the information necessary to train AI systems and also the hidden dependencies and relationships that are waiting for discovery to support decision making.

To support the data pipeline, data must be stored and managed typically in large amounts. Today SQL, Vector, and Graph Databases are the backbone of such AI operations. Also, before data can be used by an AI system it must be cleaned. raw data can have missing values, duplicates, inconsistent types, and other errors. Ferguson Control Systems, LLC can design and implement data management systems, perform analysis on the health of data and provide data cleaning for your organization.

AI Services – Data Acquisition and Edge Computing

Before data data can be stored and utilized, it must be acquired from one or more sources. These sources can vary in type and volume as they can include text, video, voice, audio, sensor data, etc. Support for such sources requires the ability to understand each source type and use of the correct technology for acquisition. In addition to data collection, care must be taken to manage the massive amount of potential data. Too much data can overload the resources of data management systems, thus it is important to extract relevant information and discard irrelevant data.

Edge Computing is a mechanism that can perform analysis and analytics early in the data pipeline to extract meaningful information before storage into data management systems. Ferguson Control Systems, LLC can provide design and implementation services for data acquisition using edge computing platforms.

AI Services – Artificial Intelligence within Embedded Systems

Artificial Intelligence applications can perform complex feats. However, this comes at the expense of performance as such applications are resource unfriendly. This aspect does not change for embedded system platforms. Embedded systems are traditionally resource constrained and care must be taken to ensure applications operate properly within these constraints. If the use of artificial intelligence is required to execute within embedded systems, then the technology and algorithms must be properly implemented with these constraints in mind. Ferguson Control Systems, LLC combines experience with the design and development of safety criteria embedded systems with the art of developing artificial intelligence applications using technologies such as deep neural networks and Large Language Models (LLMs) on embedded platforms.