Seeq Announces Generative AI Capabilities with Seeq AI Assistant

Seeq unveiled the Seeq AI Assistant, a generative AI (GenAI) resource embedded across its industrial analytics platform. The Seeq AI Assistant provides real-time assistance to users across the enterprise, empowering them to accelerate mastery of the Seeq platform, build advanced analytics, machine learning, and AI skills and knowledge, and accelerate insights to improve decision making in pursuit of operational excellence and sustainability.

ARC's recent survey results selected AI as the most impactful technology that will change manufacturing in the next five years. The analytical insights required to drive operational excellence continue encountering roadblocks due to a shortage of skills, siloed capabilities within organizations, and untapped stockpiles of time series data.

The Seeq AI Assistant provides organizations with the opportunity to further debottleneck their most precious resource – the people at the frontlines of their processes and decisions.

Seeq is uniquely positioned to drive industrial innovation with GenAI, given the company’s expertise in industrial data and its open and extensible analytics platform that was developed to leverage and serve subject matter experts and their enterprise decisions. Seeq provides on-demand access to critical time series data, data contextualization capabilities, and established intellectual property. Utilizing the body of advanced analytics, data science, machine learning, and coding knowledge held in Seeq technical documentation and its knowledge base, Seeq is operationalizing the power of GenAI for its customers. Combining these competencies with prompt engineering curated by the world-class analytics and learning engineers at Seeq, the Seeq AI Assistant generates accurate and actionable suggestions for analytical approaches and techniques, code generation and more. Seeq also supports multiple providers and LLMs for organizational flexibility.

Seeq AI Assistant empowers frontline experts in process engineering, data science and operations to rapidly bridge process, analytics and coding knowledge gaps, unlocking workflows and results that were previously time and effort prohibitive or impossible.