SparkCognition Government Systems (SGS) is the first full-spectrum artificial intelligence (AI) company devoted entirely to the government and national defense mission. By developing and operationalizing next-generation AI-powered solutions, SGS enables government organizations to meet the needs of their most pressing national security missions. Using technologies built in the United States, SGS advances government operations by analyzing complex data to inform and accelerate intelligent decisions, applying predictive and prescriptive analytics to improve logistics and readiness, deploying autonomy technology for unmanned systems, using natural language processing for large scale processing of unstructured data, and more. The DevSecOps Engineer is responsible for maintaining the security, technology, wellness, and integrity of SGS. The ideal candidate will assist SGS' engineering team in building a comprehensive software'factory' in addition to instituting a fully integrated and secure systems architecture available to SGS and its clients.

Imagining military artificial intelligence (AI) applications can make one dream up scenarios like those in the Terminator films, but in reality, AI solutions for defense are much more mundane and focused on improving decision-making for humans, whether they're aircraft maintenance personnel; pilots; or intelligence, surveillance, and reconnaissance (ISR) analysts, says John Canipe, Director of Business Development, Air Force, at SparkCognition Government Systems, during a conversation we had at his company headquarters in Austin, Texas. We also discussed the difference between AI and machine learning (ML), how AI is being applied across multiple military domains, and more. MCHALE: Please provide a brief description of your responsibility within SparkCognition Government Systems and your group's role within the company. CANIPE: As Director of Business Development, Air Force, my current responsibilities are product development, capture management, price/licensing of products, and generating new and recurring sales. MCHALE: We often see AI/ML [artificial intelligence/machine learning] in the same sentence, or used to describe the same thing, but what is the actual difference between AI and ML? CANIPE: Differentiating AI from ML is a struggle everyone is having right now.