从数据到行动：使用工业助手重新构想工作流程

Reimagine Workflows withIndustrial Assistant Industrial workspaces often resemble beehives, with scores of busy workers freneticallygetting their jobs done. The main difference is that these workspaces traditionally lackthe cohesion, productivity, and efficiency of their naturally occurring counterparts. Large organizations are overwhelmed with managing operations, troubleshooting, andtask coordination as teams are forced to sift through extensive documentation orlaboriously handle repetitive tasks. Additionally, industrial professionals face challengessuch as fragmented information, unplanned downtime, and rising demand forpredictive maintenance. What if cutting-edge technology could accelerate routine,time-intensive tasks — like equipment maintenance —from hours-long processes to minutes? OPTIMIZE WORKFLOWS THROUGHINDUSTRIAL AUTOMATION AI-driven solutions to optimize operations, reduce costs, and enhance safety are beingincreasingly adopted to address boondoggles that plague the industrial sector. The globalindustrial automation market is projected togrow at a 9.2% CAGR through 2030, fueled bythe need for efficiency, predictive maintenance, and real-time analytics. Over 70% of manufacturing executives plan to invest in AI technologies withinthe next three years. AI-powered assistants facilitate efficiency and accuracy, which are crucial for smoothoperations. They are vital in supporting maintenance teams, optimizing equipmentperformance, and minimizing downtime. AI assistants in the industrial space providetangible value in: EQUIPMENTTROUBLESHOOTING: EQUIPMENTMAINTENANCE: PERFORMANCEMONITORING: Provide clear, step-by-step instructions formaintenance tasks,ensuring accuracy andconsistency. Continuously monitorsystems for errors,deliver detailed insights,and recommendresolution steps. Track and evaluateequipment KPIs in real-time, enabling proactiveadjustments to optimizeproduction processes. USE DATA TO SIMPLIFY TASKS SoftServe’s Industrial Assistant, powered by Gen AI, reimagines industrial operationsby integrating LLM and non-LLM workflows into a multi-agent solution. It managescomplex, multi-stage tasks such as document analysis, database querying, and interactivevisualization. Unifying equipment information and simplifying access to critical IoT data streamlinesmaintenance and monitoring processes. This allows teams to make faster, better-informeddecisions, reduce downtime, and focus on innovation and long-term success. Industrial Assistant drives measurable improvements across critical operational areas: ENHANCED PERFORMANCE: ACCELERATED TRAINING: A 10% improvement in overallequipment effectiveness,ensuring smoother and moreefficient operations. A 50% reduction in onboardingtime, enabling faster upskillingof new team members. IMPROVED PRODUCT QUALITY: FASTER DATA ACCESS: A 56% decrease in equipmentdefects through advancedroot-cause analysis, leadingto superior outcomes. An 83% reduction in time spentsearching for information,allowing teams to focus onhigher-value tasks. Continental, a global automotive technology company,partnered with SoftServetoaugment virtual factory solutions and enhance their engineering team’s efficiency. Bycombining Gen AI and 3D visualization, Industrial Assistant sped up innovation andfacilitated cross-platform synergy and collaboration. This helped Continental address theincreasing demand for connectivity and advanced camera systems in vehicles. INSIDE INDUSTRIAL ASSISTANT The Industrial Assistant platform combines advanced technologies with seamlessintegration. It consolidates a wealth of equipment-related information — maintenanceguides, operations manuals, error codes, and troubleshooting procedures — into a single,user-friendly interface. Core features include: REAL-TIME GENERATIVE AI INTERACTION: Industrial Assistant offers step-by-step guidance for addressing issues, detailedinstructions for routine procedures, and real-time insights into equipmentconditions. Its intuitive conversational interface ensures accessibility for usersacross all technical skill levels. MULTIMODAL RETRIEVAL-AUGMENTED GENERATION (mRAG): A standout feature, mRAG leverages advanced layout recognition and opticalcharacter recognition (OCR) to parse diverse equipment documentation. Thisallows the assistant to extract and analyze textual and visual data, enablingprecise answers to even image-based queries. IOT INTEGRATION FOR ENHANCED INSIGHTS: Users gain a comprehensive view of equipment health by integrating real-timeIoT data from equipment sensors. Based on user-defined prompts, the systemsupports performance graph analysis, historical data comparisons, and futureKPI projections. FEEDBACK COLLECTION MECHANISM: Users can submit feedback, which is stored for further analysis. Managers canaccess a consolidated list of feedback entries, enabling them to review concerns,identify trends, and make informed decisions. The assistant component enhancesthis process by su